Info stazione per P3350031_ – Google Maps APRS\nOggetto APRS P3350031_ - mostra grafici\n402.70MHz OE3WGU-12 ETA=08:11 EAS=10.4m/s (D) predicted touchdown\n49°09.49' N 15°34.94' E - locatore JN79SD97VX - mostra mappa - mappa statica\n4.2 miles Ovest direzione 285° da Želetava, Vysočina, Czech Republic [?]\n6.1 miles Est direzione 107° da Telč, Vysočina, Czech Republic\n74.8 miles NordOvest direzione 332° da Vienna, Politischer Bezirk Wien (Stadt), Vienna, Austria\n82.6 miles SudEst direzione 141° da Prague, Hlavní Mesto Praha, Czech Republic\n2020-02-27 02:10:20 EST (33d 6h17m fa)\n2020-02-27 08:10:20 CET orario a Želetava, Czech Republic [?]\nChuranov Cinovec CrvULibav DFM6005_ DFM6007_ DFM6017_ DFM6021_ DFM6022_ DFM6028_ DFM6031_ DFM6040_ DFM6042_ DFM6048_ DFM6057_ DFM6060_ DFM6064_ DFM6080_ DFM6094_ DFM6095_ DFM6102_ DFM6107_ DFM6110_ DFM6114_ DFM6125_ DFM6128_ DFM6130_ DFM6132_ DFM6147_ DFM6154_ DFM6161_ DFM6164_ DFM6166_ DFM6169_ DFM6178_ DFM6180_ DFM6185_ DFM6187_ DFM6190_ DFM6196_ DFM6199_ DFM6204_ DFM6206_ DFM6207_ DFM6215_ DFM6232_ DFM6241_ DFM6245_ DFM6246_ DFM6247_ DFM6249_ DFM6252_ DFM6255_ Fichtelbe GrArber Kosetice L3620773_ LKCV LKKB LKKU LKKV LKLB LKLN LKMT LKNA LKPD LKPO LKPR LKTB LKVO LysaHora M1433803_ M1453006_ M2143194_ M2143422_ M2513164_ M2513181_ M2833171_ M2833177_ M2833311_ M2833559_ M2843003_ M3153073_ M3153081_ M3153107_ M3153129_ Milesovka N3230379_ N3440622_ N3440623_ N3440624_ N3440633_ N3440637_ N3440638_ N3440639_ N4120268_ N4120726_ N4140004_ N4140344_ N4140348_ N4140357_ N4140358_ N4140393_ N4140474_ N4850307_ N4850445_ N4850524_ N4850562_ N4850565_ N4850568_ N4850588_ N4850592_ N4850593_ N4850597_ N4850698_ N4850701_ N4850703_ N4850704_ N4850706_ N4850707_ N4850721_ N4850726_ N4920410_ N4920421_ N4920424_ N4920425_ N4920426_ N4940511_ N4940514_ P0640083_ P0720530_ P0720863_ P2040999_ P2050493_ P2130064_ P2130212_ P2130213_ P2130214_ P2130215_ P2130216_ P2130223_ P2130225_ P2130226_ P2130227_ P2130247_ P2130249_ P2130250_ 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P3330098_ P3330102_ P3330105_ P3330112_ P3330139_ P3330140_ P3330141_ P3330142_ P3330148_ P3330151_ P3330152_ P3330153_ P3330154_ P3330155_ P3330156_ P3330257_ P3330292_ P3330295_ P3330296_ P3330301_ P3330302_ P3330303_ P3330304_ P3330305_ P3330306_ P3330307_ P3330308_ P3330309_ P3330310_ P3330311_ P3330312_ P3330314_ P3330315_ P3330316_ P3330317_ P3330318_ P3330349_ P3330887_ P3340260_ P3340283_ P3340286_ P3340288_ P3340341_ P3340342_ P3340343_ P3340345_ P3340346_ P3340410_ P3340653_ P3340655_ P3340657_ P3340658_ P3340659_ P3340660_ P3340673_ P3340676_ P3340678_ P3340695_ P3340716_ P3340722_ P3340761_ P3340777_ P3340826_ P3340849_ P3340850_ P3340852_ P3340871_ P3340872_ P3340873_ P3340883_ P3340884_ P3340885_ P3340886_ P3340888_ P3350026_ P3350027_ P3350028_ P3350029_ P3350030_ P3350032_ P3350033_ P3350035_ P3350058_ P3350061_ P3350097_ P3350102_ P3350136_ P3350138_ P3350140_ P3350146_ P3350147_ P3350148_ P3350149_ P3350150_ P3350151_ P3350152_ P3350155_ P3350156_ P3350161_ P3350169_ P3350170_ P3350175_ P3350176_ P3350177_ P3350178_ P3350179_ P3350180_ P3350188_ P3350189_ P3350190_ P3350191_ P3350192_ P3350201_ P3350203_ P3350204_ P3350209_ P3350211_ P3350214_ P3350238_ P3350242_ P3350243_ P3350244_ P3350250_ P3350252_ P3350254_ P3350258_ P3350314_ P3350315_ P3350327_ P3350329_ P3350330_ P3350332_ P3350334_ P3350343_ P3350344_ P3350345_ P3350346_ P3350347_ P3350348_ P3350349_ P3350350_ P3350353_ P3350355_ P3350357_ P3350358_ P3350360_ P3350361_ P3350363_ P3350364_ P3350366_ P3350609_ P3350623_ P3350624_ P3350625_ P3350626_ P3350627_ P3350629_ P3350630_ P3350632_ P3350633_ P3350634_ P3350635_ P3350636_ P3350643_ P3350644_ P3350645_ P3350646_ P3350647_ P3350648_ P3350668_ P3350678_ P3350679_ P3350682_ P3350684_ P3350689_ P3350697_ P3350702_ P3350706_ P3350709_ P3350718_ P3350779_ P3350780_ P3350800_ P3350801_ P3410015_ P3410019_ P3410107_ P3410108_ P3410127_ P3410130_ P3410131_ P3410132_ P3410140_ P3410218_ P3410350_ P3410362_ P3410372_ P3410579_ P3410580_ P3410581_ P3410584_ P3410595_ P3410596_ P3410599_ P3410600_ P3410619_ P3410621_ P3410691_ P3410693_ P3410694_ P3410695_ P3410696_ P3410701_ P3410702_ P3410721_ P3410722_ P3410723_ P3410727_ P3420008_ P3420009_ P3420010_ P3420011_ P3420012_ P3420013_ P3420019_ P3420020_ P3420021_ P3420022_ P3420023_ P3420024_ P3420084_ P3420087_ P3420091_ P3420109_ P3420110_ P3420111_ P3420120_ P3420121_ P3420122_ P3420123_ P3420124_ P3420125_ P3420126_ P3420127_ P3420128_ P3420129_ P3420134_ P3420135_ P3420136_ P3420137_ P3420149_ P3420151_ P3420153_\nStazioni vicine alla posizione corrente P3350031_ - mostra più\n6.5 miles 347° 2020-03-31 09:24:44\n6.5 miles 347° 2020-03-31 09:24:54\n6.5 miles 347° 2020-03-31 09:08:25\n9.1 miles 70° 2020-03-31 09:15:44\n10.3 miles 55° 2020-03-31 09:16:10\n11.0 miles 23° 2020-03-14 18:03:03\n13.2 miles 71° 2020-03-30 13:37:58\n13.2 miles 71° 2020-03-30 13:38:08\n14.8 miles 338° 2020-03-10 09:15:16\n14.8 miles 339° 2020-03-10 09:15:30\n15.5 miles 56° 2020-03-24 09:19:15\n16.5 miles 358° 2020-03-31 09:24:37\n16.5 miles 358° 2020-03-31 09:24:47\n16.5 miles 358° 2020-03-31 09:13:58\n16.6 miles 57° 2020-03-24 09:18:30\n17.0 miles 3° 2020-03-05 13:36:36\n17.0 miles 357° 2020-03-24 08:39:37\n17.0 miles 357° 2020-03-31 09:22:49\n17.0 miles 357° 2020-03-28 01:23:03\n17.0 miles 294° 2020-03-31 09:22:22


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10 Meilleurs hôtels proches gare Hückelhoven-Baal, Huckelhoven sur TripAdvisor\nHuckelhoven : tourisme\nHuckelhoven : hôtels\nHuckelhoven : chambres d'hôtes\nHuckelhoven : locations de vacances\nHuckelhoven : vols\nHuckelhoven : forum de voyages\nHuckelhoven : restaurants\nHuckelhoven : activités\nHuckelhoven : photos\nHuckelhoven : carte\nTous les hôtels : Huckelhoven\nOffres sur les hôtels : Huckelhoven\nHôtels 3 étoiles à Huckelhoven\nHôtels proches de la Museum der Mineralien\nHôtels proches de la gare Erkelenz\nHôtels proches de la gare Linnich SIG Combibloc\nHuckelhoven : informations\n10 Meilleurs hôtels proches gare Hückelhoven-Baal - Hôtel près de gare Hückelhoven-Baal\nHôtels proches de la gare Hückelhoven-Baal\nHuckelhoven, Rhénanie du Nord-Westphalie, Allemagne\nÀ n'importe quelle distance de gare Hückelhoven-Baal\nChambres d'hôtes (618)\nQuartiers Altstadt-Nord Lindenthal Neustadt-Nord Altstadt Bilk Carlstadt Friedrichstadt Kaiserswerth Oberkassel Pempelfort Stadt-MitteTout\nAffinerÀ n'importe quelle distance de gare Hückelhoven-Baal\nHotel Friends Hueckelhoven\nBerresheimring 1, 41836 Huckelhoven, Rhénanie du Nord-Westphalie, Allemagne\n4,1 km de gare Hückelhoven-Baal\n5,9 km de gare Hückelhoven-Baal\n10,1 km de gare Hückelhoven-Baal\nVon-Agris-Str. 43, 41844 Wegberg, Rhénanie du Nord-Westphalie, Allemagne\n11,5 km de gare Hückelhoven-Baal\nBurgstrasse 8, 41844 Wegberg, Rhénanie du Nord-Westphalie, Allemagne\n12,1 km de gare Hückelhoven-Baal\n13,9 km de gare Hückelhoven-Baal\nKueckstr. 66, 52499 Baesweiler, Rhénanie du Nord-Westphalie, Allemagne\n15,2 km de gare Hückelhoven-Baal\nGenhuelsen 112, 41179 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n15,9 km de gare Hückelhoven-Baal\nKlusenstr. 97, 41239 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n16,6 km de gare Hückelhoven-Baal\nBoeningstr. 151, 41239 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n16,7 km de gare Hückelhoven-Baal\nKonrad-Zuse-Ring 10, 41179 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n17,4 km de gare Hückelhoven-Baal\nOdenkirchener Str. 129, 41236 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n18,6 km de gare Hückelhoven-Baal\nBurgstr. 30, 52477 Alsdorf, Rhénanie du Nord-Westphalie, Allemagne\n18,7 km de gare Hückelhoven-Baal\nHehnerholt 94, 41069 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n19,1 km de gare Hückelhoven-Baal\nVorster Str. 535, 41169 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n19,7 km de gare Hückelhoven-Baal\nHauptstr. 3, 50181 Kaster, Rhénanie du Nord-Westphalie, Allemagne\n20,0 km de gare Hückelhoven-Baal\nSpeicker Str. 49, 41061 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n20,7 km de gare Hückelhoven-Baal\nAachener Str. 120, 41061 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\nHauptstr. 52, 41372 Elmpt, Rhénanie du Nord-Westphalie, Allemagne\n21,1 km de gare Hückelhoven-Baal\nRimburgerweg 52, 6445 PA Brunssum, Pays-Bas\n21,4 km de gare Hückelhoven-Baal\nHohenzollernstr. 5, 41061 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\n21,7 km de gare Hückelhoven-Baal\nHindenburgstr. 175, 41061 Monchengladbach, Rhénanie du Nord-Westphalie, Allemagne\nFriedrich-Wilhelm-Str. 28, 50181 Bedburg, Rhénanie du Nord-Westphalie, Allemagne\nErkelenzer Str. 59, 52525 Heinsberg, Rhénanie du Nord-Westphalie, Allemagne\n8,7 km de gare Hückelhoven-Baal\n10,5 km de gare Hückelhoven-Baal\nHochstr. 160, 52525 Heinsberg, Rhénanie du Nord-Westphalie, Allemagne\n12,9 km de gare Hückelhoven-Baal\n13,1 km de gare Hückelhoven-Baal\nRosenthaler Str. 84 | Wassenberg, 41849 Birgelen, Rhénanie du Nord-Westphalie, Allemagne\nTheodor-Heuss-Ring 15, 52511 Geilenkirchen, Rhénanie du Nord-Westphalie, Allemagne\n13,2 km de gare Hückelhoven-Baal\n13,7 km de gare Hückelhoven-Baal


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Master Property Record Parcel: 0000-01322-004-00 :: Denver Assessor Records\nHome Denver Assessor Records Master Property Record Parcel: 0000-01322-004-00\nMaster Property Record Parcel: 0000-01322-004-00\nH WILLARD ORR & LOIS E ORR\nc A D WILSON & CO 1730 CALIF. ST\nDENVER 2 1322-04-01\nLOTS 1 & 2 BLK 1 MONT VIEW PARK\nPROPERTY ADDRESS 2590 KEARNEY ST\n0 4 01\n1950 7# E F Appf?^\n8 40 *\n3.1 4 0\n5 22 0|\n4,8 8 0 #\nTitle Master Property Record Parcel: 0000-01322-004-00\nSummary This card represents parcel number 0000-01322-004-00 of the Denver Assessor's Office Master Property Records. Each file may contain several cards with different section of the parcel.\nFull-Text PROPERTY DESCRIPTION PROPERTY DESCRIPTION H WILLARD ORR & LOIS E ORR c A D WILSON & CO 1730 CALIF. ST DENVER 2 1322-04-01 LOTS 1 & 2 BLK 1 MONT VIEW PARK ADD PARCEL NO. CARD NO. TRANSF. TO PARCEL NO. CARD NO. PROPERTY ADDRESS 2590 KEARNEY ST REMARKS EFFECTIVE YEAR CODE VOUCHER NO. CHANGES LAND IMPROVEMENTS VALUATION LAND IMPROVEMENTS TOTAL ASSESSED VALUE 5 2| \_9 %GPR \_9 55 F T \_9 590PR \_9 6^01$ 13 22 92 1 6,894 201 291 0 4 01 1 1 0 260 19 5 0 1950 7# E F Appf?^ 420 30 660 730 680 7 3 0 7 3 0 * 840 * 8 40 * 1,10 0 3.3 80 3.1 4 0 4 4 9 0 4.070 T 4.0 70 T 4.040 T 3.380 4.110 3.8 2 0 5 22 0| 4.800 A' 4.91 0 u 4,8 8 0 # 4.4 8 0\nPost a Comment for Master Property Record Parcel: 0000-01322-004-00


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Ultimate Mets Database: Game of April 27, 2002 - Box Score\nApril 27, 2002, Shea Stadium, Flushing, NY\nAlex Sanchez cf 4 0 0 0 0 1\nMark Loretta 2b 3 0 0 0 0 0\n- Eric Young pr 0 0 0 0 0 0\nMatt Stairs rf 3 0 0 0 1 1\nTyler Houston 3b 4 0 0 0 0 0\nLenny Harris 1b 2 0 0 0 0 1\nJose Hernandez ss 3 1 1 0 0 0\nPaul Bako c 2 0 0 0 0 0\n- Raul Casanova ph-c 1 0 1 1 0 0\nNick Neugebauer p 2 0 0 0 0 0\n- Richie Sexson ph 1 0 0 0 0 0\nRoberto Alomar 2b 4 1 1 0 0 0 .237\nRoger Cedeno lf 3 0 1 0 0 0 .188\nMo Vaughn 1b 4 0 0 0 0 2 .250\nJeromy Burnitz rf 3 0 1 1 1 0 .244\nJay Payton cf 4 0 0 0 0 1 .194\nVance Wilson c 3 0 1 1 0 0 .235\nRey Ordonez ss 2 0 2 0 1 0 .279\nPedro Astacio p 3 0 0 0 0 2 .077\nMilwaukee Brewers 0 0 0 0 0 0 0 1 0 1 3 0\nNew York Mets 1 0 0 0 0 1 0 0 x 2 7 0\nNick Neugebauer (L) 6.0 7 2 2 2 5\nRay King 1.0 0 0 0 0 0\nLuis Vizcaino 1.0 0 0 0 0 1\nPedro Astacio (W,4-1) 8.0 3 1 1 1 2 2.50\nArmando Benitez (Save,7) 1.0 0 0 0 0 2 2.25\n2B: Roger Cedeno (3), Vance Wilson (2), Roberto Alomar (2).\nHBP: Lenny Harris, Mark Loretta.\nSB: Edgardo Alfonzo (1), Lenny Harris.


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Pink Mixers Stand Mixers - Walmart.com\nGenerated at Fri, 19 Apr 2019 16:04:01 GMT\nElectrode, Comp-351927373, DC-prod-dfw6, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-0ec6b33c-c53-16a36572485a13, Generated: Fri, 19 Apr 2019 16:04:01 GMT\n© 2019 Walmart. All Rights Reserved. To ensure we are able to help you as best we can, please include your reference number: ETZXHCU4CA\nElectrode, Comp-357074657, DC-prod-dfw6, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-2705001c-38f-16a36572482798, Generated: Fri, 19 Apr 2019 16:04:01 GMT\nElectrode, Comp-188110430, DC-prod-dfw1, ENV-prod-a, PROF-PROD, VER-8.11.1, SHA-dabdf973439956d39268a66a20a17b5429458c23, CID-67278dee-587-16a36572475201, Generated: Fri, 19 Apr 2019 16:04:02 GMT


Burn a Modern deck by Lucas Cruz - MTGDECKS\nBurn deck, by Lucas Cruz\nModernBurn SCG Open Worcester Lucas Cruz\nBurn. Builder: Lucas Cruz. —\nTop128 in SCG Open Worcester [892 Players] — 12-Jan-2019\nBUY: $518—194.31 Tix\n4 Goblin Guide $6.78 $0.87\n4 Eidolon of the Great Revel $6.4 $7.78\n4 Searing Blaze $1.08 $0.48\n4 Lava Spike $3.02 $0.88\n4 Rift Bolt $0.82 $0.08\n1 Scalding Tarn $62.99 $17.06\n4 Bloodstained Mire $25.65 $12.85\n2 Path to Exile $3.88 $0.29\n3 Rest in Peace $4.49 $3.69\n3 Tormod's Crypt $0.55 $1.38\n3 Searing Blood $0.5 $1.17\n146.32 Tix @cardhoarder $3.66 / Week @cardhoarder $n/a @tcgplayer $464.41 @cardkingdom\n1 Grim Lavamancer 4 Lightning Bolt 2 Sacred Foundry 3 Mountain 4 Inspiring Vantage 2 Path to Exile 3 Rest in Peace 3 Tormod's Crypt\nLast update: 2019-01-14 00:37:34


2019-06-28T19:00:00-04:00 2019-06-29T22:00:00-04:00 http://newyork.carpediem.cd/data/afisha/bp/88/6e/886ebdf4fa.jpg Get Your Tickets Here — anrdoezrs.net/click-7987154-10769594?url=http%3A%2F%2Fticketliquidator.com%2Fresultsgeneral.aspx%3Fkwds%3DThe%2BLumineers%26sb%3D1&cjsku=53217 The Lumineers will be performing two consecutive shows in June at MetLife Stadium. Clic... http://newyork.carpediem.cd/events3757451-the-lumineers-concerts-events-at-metlife-stadium/ The Lumineers Concerts & Events 50 State RT 120, East Rutherford, New Jersey 07073 MetLife Stadium\n2019-06-29T10:00:00-04:00 2019-06-29T18:00:00-04:00 http://newyork.carpediem.cd/data/afisha/bp/7c/4f/7c4f3e9605.jpg KupoCon returns to the US in 2019. More information later in the year. http://newyork.carpediem.cd/events6666488-kupocon-the-bigger-pom-newark-nj-at-newark-new-jersey/ KupoCon: The Bigger Pom (Newark, NJ) New York Newark, New Jersey


Q3 2019 Update - DocsBay\nQ3 2019 Update Highlights 03\nPhotos Charts 11\nAdditional Information 27 H I G H L I G H T S\n$ 3 8 3 M in c re a s e in o u r c a s h a n d c a s h e q u iva le n t s b a la n c e t o $ 5 .3 B\n$ 37 1M o p e ra t in g c a s h flo w le ss c a p e x (fre e c a s h flo w )\nLa st ye a r, o ur sto ry w a s a b o ut ra m p in g t he Mo d e l 3. W hile to t a l vo lum e s a re e xp e c te d to g ro w b y a p p roxim a te ly 50 % in\n20 19 , t his ye a r o ur fo c us ha s b e e n co st co nt ro l a nd p re p a ring fo r o ur ne xt p ha se o f g ro w t h.\nDe sp ite re d uc t io ns in t he ave ra g e se llin g p rice (ASP) o f Mo d e l\n3 a s g lo b a l m ix st a b ilize s, o ur g ro ss m a rg ins have st re ng t he n e d . Ad d it io na lly, o p e ra t in g e xp e nse s a re a t t he lo w e st le ve l since Mo d e l 3 p ro d u c t io n st a rte d . As a re sult , w e re turne d to GAAP p ro fit a b ilit y in Q 3 w hile g e ne ra t in g p o sit ive fre e c a sh flo w . This w a s p o ssib le b y re m o vin g sub st a nt ia l co st fro m o ur b usine ss.\nP ro fit a b ilit y\n$ 26 1M GAAP o p e ra t in g in c o m e ; 4 .1% o p e ra t in g m a rg in\n$ 14 3 M GAAP n e t in c o m e ; $ 3 4 2 M n o n -GAAP n e t in c o m e e x-SBC\n22.8 % GAAP Au t o m o t ive Gro ss Ma rg in\nW e have a lso d ra m a t ic a lly im p ro ve d t he p a ce o f exe c ut io n a nd c a p it a l e ffic ie nc y o f ne w p ro d uc t io n line s. Gig a fa c to ry Sh a n g h a i w a s b uilt in 10 m o n t h s a n d is re a d y fo r p ro d u c t io n , w h ile it w a s\n~6 5 % le ss e xp e n sive (ca p ex p e r unit o f c a p a c it y) to b uild t ha n o u r Mo d e l 3 p ro d u c t io n syste m in t he US. Co nt inue d vo lum e g ro w t h a nd co st co nt ro l a re a n im p o rt a nt co m b ina t io n fo r a c hie ving sust a ine d , ind ust ry-le a d in g p ro fit a b ilit y.\nO p e ra t io n s\nGig a fa c to ry Sha ng ha i a he a d o f sc he d ule , t ria l p ro d uc t io n st a rte d\nMo d e l Y a he a d o f sc he d ule , p ro d uc t io n e xp e c te d b y sum m e r 20 20\nRe co rd ve hic le p ro d uc t io n o f 9 6 k a nd d e live rie s o f 9 7k\nRe co rd sto ra g e d e p lo ym e nt o f 4 77 MW h a nd 4 8 % so la r g ro w t h Q o Q\n3F I N A N C I A L S U M M A R Y\n(Un a u d ite d )\n( $ in m illio n s , e xc e p t p e rc e n t a g e s a n d p e r s h a re d a t a ) Q o Q Yo Y\nAut o m o t ive re ve nue s 6 ,323 3,724 5,376 5,353 0 % -12%\nQ 3 -2 0 18\n6 ,0 9 9\nQ 4 -2 0 18\nQ 1-2 0 19\nQ 2 -2 0 19\nQ 3 -2 0 19\no f w hic h re g ula to ry c re d it s 21% -29 % 18 9 9 5 216 111 134\n1,574 -22% 1,537 751 1,0 16 1,222 20 %\nAut o m o t ive g ro ss p ro fit\nAut o m o t ive g ro ss m a rg in 25.8 % 24 .3% 20 .2% 18 .9 % 22.8 % 39 3 b p -29 7 b p\nTo t a l re ve nue s 6 ,8 24 7,226 4 ,54 1 6 ,350 6 ,30 3 -1% -8 %\n1,524 1,4 4 3 56 6 9 21 1,19 1 29 % -22%\nTo t a l g ro ss p ro fit\nTo t a l GAAP g ro ss m a rg in 22.3% 20 .0 % 12.5% 14 .5% 18 .9 % 4 39 b p -34 4 b p\nO p e ra ting e xp e nse s 1,10 8 1,0 29 1,0 8 8 1,0 8 8 9 30 -15% -16 %\n4 16 4 14 (522) (16 7) 26 1 256 % -37%\n5.7% 6 .1% -11.5% -2.6 % 4 .1% 6 77 b p -19 6 b p\nInc o m e (lo ss) fro m o p e ra t io ns\nO p e ra t ing m a rg in\nEBITDA 9 4 2 8 9 7 (28 ) 371 8 76 136 % -7%\nEBITDA m a rg in 13.8 % 12.4 % -0 .6 % 5.8 % 13.9 % 9 b p\n8 0 6 b p\n311 139 (70 2) 14 3 135% -54 %\n34 4 516 (4 9 4 ) (19 8 ) 273% -34 % 34 2\n(4 0 8 )\nNe t inc o m e (lo ss) a tt rib ut a b le t o c o m m o n st o c kho ld e rs (GAAP)\nNe t inc o m e (lo ss) a tt rib ut a b le t o c o m m o n st o c kho ld e rs (no n -GAAP)\nEPS a tt rib ut a b le t o c o m m o n st o c kho ld e rs, b a sic (GAAP) 1.8 2 0 .8 1 (4 .10 ) (2.31) 0 .8 0 135% -56 %\nEPS a tt rib ut a b le t o c o m m o n st o c kho ld e rs, b a sic (no n-GAAP) 2.0 0 (2.9 0 ) (1.12) 1.9 1 271% -37% 3.0 2\nNe t c a sh p ro vid e d b y (use d in) o p e ra t ing a c t ivit ie s 1,39 1 1,235 8 6 4 756 -13% -4 6 %\nCa p it a l e xp e nd it ure s (510 ) (325) (28 0 ) (250 ) (38 5) 54 % -25%\n8 8 1 9 10 (9 20 ) 6 14 371 -4 0 % -58 %\n(6 4 0 )\n5,338 4 ,9 55 3,6 8 6 2,9 6 8 2,19 8 8 % 8 0 %\nO p e ra ting c a sh flo w le ss c a p it a l e xp e nd it ure s\nCa sh a nd c a sh e q uiva le nt s\nEPS = Ea rnin g s p e r sh a re\n4F I N A N C I A L S U M M A R Y\nCo m p a re d t o Q 3 o f 20 18 , t h e p e rc e n t a g e o f le a s e d ve h ic le s h a s t rip le d a n d a lo n e h a s im p a c t e d re ve n u e b y t h e m a jo rit y o f t h e Yo Y d e c re a s e . Mo d e l 3 m ix h a s in c re a s e d w h ile w e h a ve t a ke n a c t io n s le a d in g t o t h e re d u c t io n o f t h e ASP o f o u r p ro d u c t s . Th e s e ASP re d u c t io n s a re p a rt ic u la rly im p a c t e d b y t h e la u n c h o f t h e St a n d a rd Ra n g e t rim s o f Mo d e l 3 a n d p ric in g a c t io n s e a rlie r in t h e ye a r.\nW e a re p o s it io n e d t o a c c e le ra t e o u r g ro w t h fu rt h e r t h ro u g h Gig a fa c t o ry Sh a n g h a i, Mo d e l Y a n d a ls o t h ro u g h in c re a s in g b u ild ra t e s o n o u r e xist in g p ro d u c t io n lin e s . Th e s e c a p a c it y in c re a s e s w ill a llo w fo r h ig h e r t o t a l ve h ic le d e live rie s a n d a ss o c ia t e d re ve n u e . W e a ls o e xp e c t t o g ra d u a lly re le a s e n e a rly $ 5 0 0 M o f a c c u m u la t e d d e fe rre d re ve n u e t ie d t o Au t o p ilo t a n d Fu ll Se lf Drivin g fe a t u re s .\nGAAP Au t o m o t ive g ro ss m a rg in im p ro ve d b y 3 9 3 b p Q o Q t o 22.8 % (im p ro ve d b y 3 6 6 b p Q o Q e xc lu d in g re g u la t o ry c re d it s). Ma rg in w a s im p a c t e d in p a rt d u e t o fu n d a m e n t a l im p ro ve m e n t s in o u r o p e ra t in g e ffic ie n c y, in c lu d in g h ig h e r fixe d c o st a b s o rp t io n , re d u c t io n s in m a n u fa c t u rin g a n d m a t e ria l c o st s a n d c o n t in u e d im p ro ve m e n t s in ve h ic le q u a lit y a n d in p a rt d u e t o Sm a rt Su m m o n -re la t e d d e fe rre d re ve n u e re c o g n it io n , FX a n d o t h e r n o n -re c u rrin g it e m s . Im p ro ve d g ro ss p ro fit c o m b in e d w it h a d e c lin e in o p e ra t in g e xp e n s e s re s u lt e d in m a t e ria l im p ro ve m e n t o f GAAP n e t in c o m e .\nQ u a rt e r e n d c a s h a n d c a s h e q u iva le n t s in c re a s e d t o $ 5 .3 B, d rive n b y p o s it ive fre e c a s h flo w o f $ 37 1M. No t e t h a t o p e ra t in g c a s h flo w s a re n e g a t ive ly im p a c t e d b y in c re a s e d a u t o m o t ive le a s in g m ix. Dra w s a g a in st o u r w o rkin g c a p it a l fa c ilit ie s , in c lu d in g le a s e s a w a it in g s e c u rit iz a t io n , a re in c lu d e d in fin a n c in g c a s h flo w s . Ca p e x in c re a s e d s e q u e n t ia lly d u e t o inve st m e n t s in Gig a fa c t o ry Sh a n g h a i a n d Mo d e l Y p re p a ra t io n s in\nFre m o n t .\n5O P E R A T I O N A L\nQ 3 -2 0 18 Q o Q Yo Y\n26 ,9 0 3 25,16 1 14 ,16 3 14 ,517 16 ,318 12% -39 %\nMo d e l S/ X p ro d uc t io n\nMo d e l 3 p ro d uc t io n 10 % 50 % 53,239 6 1,39 4 6 2,9 75 72,531 79 ,8 37\nMo d e l S/ X d e live rie s 27,710 27,6 0 7 12,0 9 1 17,722 17,4 8 3 -1% -37%\n2,56 0 3,6 39 1,36 3 1,8 20 2,58 8 4 2% 1%\n50 ,9 28 6 3,359 77,6 34 79 ,70 3 3% 4 2%\n4 ,322 6 ,4 9 8 50 %\no f w hic h sub je c t t o le a se a c c o unt ing\nMo d e l 3 d e live rie s\n56 ,0 6 5\nGlo b a l inve nt o ry (d a ys o f sa le s)(1) 18 17 -6 % 31 19 30 -4 5%\nSo la r d e p lo ye d (MW ) 9 3 73 4 7 29 4 3 4 8 % -54 %\n24 0 225 229 4 15 4 77 15% 9 9 %\nSt o ra g e d e p lo ye d (MW h)\nRe sid e nt ia l so la r c a sh lo a n (%) 76 % 75% 73% 70 % 6 9 % -10 0 b p -70 0 b p\nSt o re a nd Se rvic e lo c a t io ns 351 378 377 4 0 2 4 13 3% 18 %\nMo b ile se rvic e fle e t 373 4 11 550 6 51 719 10 % 9 3%\nSu p e rc ha rg e r st a t io ns 1,352 1,4 21 1,4 9 0 1,58 7 1,6 53 4 % 22%\n11,128 12,0 0 2 12,76 7 13,8 8 1 14 ,6 58 6 % 32%\n20 ,6 52 21,54 1 22,39 9 23,16 0 23,9 0 6 3% 16 %\nSu p e rc ha rg e r c o nne c t o rs\nDe st ina tio n c ha rg ing c o nne c t o rs\nIn Q3, we we re ab le to d e live r ne arly as m any Mo d e l 3 ve hicle s as we we re ab le to p ro d uce .\nOur Se rvice ne two rk co ntinue d to exp and in Q3. Re d ucing waiting tim e s and im p roving se rvice exp e rie nce are o ur to p p rio ritie s. We o p e ne d 11 new se rvice ce nte rs in Q3 and ad d e d 6 8 Mo b ile Se rvice ve hicle s to o ur fle e t.\nOur finishe d ve hicle inve nto ry leve ls re ache d just 17 d ays o f sale s(1) at the e nd o f Q3, the lowe st leve l o f the p ast 3.5 ye ars and 4 x lowe r than ind ustry ave rag e . Since o ur state d inve nto ry leve ls includ e ve hicle s in transit and sto re ve hicle s, the true num b e r o f se llab le inve nto ry is m ate rially lowe r.\n1 Th e in d ustry re fe re n ce fo r d a ys o f sa le s is c a lc u la te d b y d ivid in g n e w c a r inve n to ry b y th e t ra iling fo u r q ua rte rs o f d e live rie s a nd using 26 1 w o rking d a ys (so urce : Auto m o t ive Ne w s).\nV E H I C L E C A P A C I T Y\nF re m o n t\nIn s t a lle d An n u a l Ca p a c it y\nCu rre n t\nFre m o nt\nMo d e l S/ X\nPro d uc t io n\nMo d e l Y e q u ip m e n t in st a lla t io n is u n d e rw a y in a d va n c e o f t h e p la n n e d la u n c h n e xt ye a r. W e a re m o vin g fa ste r t h a n in it ia lly p la n n e d , u sin g le a rn in g s a n d e ffic ie n c ie s g a in e d fro m o u r Gig a fa c to ry Sh a n g h a i fa c to ry d e sig n .\nMo d e l 3\n350 ,0 0 0\nMo d e l Y -\nCo nst ruc t io n\nPre -p ro d uc t io n\n-In d e ve lo p m e nt\nSh a ng ha i\nEu ro p e\n150 ,0 0 0\nCa p e x p e r u n it o f c a p a c it y is fo re c a ste d to b e a b o u t 5 0 % lo w e r t h a n o u r c u rre n t Mo d e l 3 p ro d u c t io n syste m in t h e Un ite d St a te s.\nMo d e l Y\nSh a n g h a i\nTe s la Se m i\nRo a d s t e r\nP ic ku p t ru c k\nUnit e d St a te s\nW e a re a lre a d y p ro d u c in g fu ll ve h ic le s o n a t ria l b a sis, fro m b o d y, to p a in t a n d to g e n e ra l a sse m b ly, a t Gig a fa c to ry Sh a n g h a i. W e h a ve c le a re d in it ia l m ile sto n e s to w a rd o u r m a n u fa c t u rin g lic e n se a n d a re w o rkin g to w a rd s fin a lizin g t h e lic e n se a n d m e e t in g o t h e r g o ve rn m e n t a l re q u ire m e n t s b e fo re w e b e g in ra m p in g p ro d u c t io n a n d d e live ry o f ve h ic le s fro m Sh a n g h a i.\nSo urce : IHS d a t a Te sla e st im a te s\n30 0 ,0 0 0\n20 0 ,0 0 0\n10 0 ,0 0 0\nCh in a is b y fa r t h e la rg e st m a rke t fo r m id -size d p re m iu m se d a n s. W it h Mo d e l\n3 p ric e d o n p a r w it h g a so lin e p o w e re d m id -size d se d a n s (e ve n b e fo re g a s sa vin g s a n d o t h e r b e n e fit s), w e b e lie ve Ch in a c o u ld b e c o m e t h e b ig g e st m a rke t fo r Mo d e l 3 .\nW e a re in t h e fin a l st a g e s o f o u r site se le c t io n p ro c e ss. O u r Eu ro p e a n\nGig a fa c to ry is e xp e c te d to p ro d u c e b o t h Mo d e l 3 a n d Mo d e l Y.\nUS/ Ca na d a Euro p e Ch ina Ro W\nGlo b a l m id -s ize d p re m iu m s e d a n s a le s 2 0 18\nAu t o p ilo t F u ll Se lf Driv in g\nIn Se p te m b e r, w e la u n c h e d Sm a rt Su m m o n in t h e US w h ic h h a s b e e n u se d m o re t h a n o n e m illio n t im e s to d a te . Th is fu n c t io n a lit y a llo w s c a r o w n e rs to su m m o n t h e ir c a rs fro m u p to 20 0 fe e t in a p a rkin g lo t o r d rive w a y. O u r n e u ra l n e t w o rk le a rn in g a p p ro a c h e n a b le s u s to c o n t in u e to ite ra te a n d im p ro ve fu n c t io n a lit y o ve r t im e .\nDu rin g Q 3 , w e re g iste re d o n e a c c id e n t fo r e ve ry 4 .3 4 m illio n m ile s d rive n in w h ic h d rive rs h a d Au to p ilo t e n g a g e d . Th is c o m p a re s to t h e n a t io n a l a ve ra g e o f o n e a c c id e n t fo r e ve ry 0 .5 m illio n m ile s b a se d o n NHTSA's m o st re c e n t US d a t a .\nVe h ic le So ft w a re\nIn Se p te m b e r, w e re le a se d o u r la te st a n d m o st sig n ific a n t ve h ic le so ft w a re u p d a te ye t , c a lle d V10 . Th is u p d a te in t ro d u c e d st re a m in g vid e o (i.e ., Yo u Tu b e , Ne t flix, Hu lu , vid e o t u to ria ls), Sp o t ify, Ca ra o ke (i.e ., in -c a r ka ra o ke ), a d d it io n a l g a m e s, im p ro ve d se a rc h a n d o t h e r fu n c t io n a lit ie s. Th is ve rsio n o f o u r in fo t a in m e n t syste m c o n t in u e s to le a d t h e in d u st ry a n d la ys a n im p o rt a n t fo u n d a t io n fo r t h in g s to c o m e .\nV10 s o ft w a re u p d a t e w it h Sm a rt Su m m o n\n* EPA a nd Te sla e st im a te s b a se d o n W LTP\nP o w e rt ra in\nIn a d d it io n to la u n c h in g lo n g e r-ra n g e ve rsio n s o f t h e Mo d e l S a n d Mo d e l X in Ap ril, w e h a ve b e e n a b le to in c re a se t h e EPA ra n g e o f t h e Mo d e l 3 St a n d a rd Ra n g e Plu s fro m 24 0 m ile s to 25 0 m ile s. W e a c c o m p lis h e d t h e se im p ro ve m e n t s b y m o re e ffic ie n t e n e rg y u se ra t h e r t h a n a c o st ly in c re a se to t h e b a t te ry size .\nO u r c u rre n t sh o rte st -ra n g e ve h ic le is o n p a rit y w it h t h e lo n g e st -ra n g e p ro d u c t io n\nEVs o ffe re d b y o t h e r co m p a n ie s . Lo n g -ra n g e m o d e ls o f e a c h Mo d e l S, X a n d 3 c o n t in u e to h a ve 20 -4 0 % h ig h e r ra n g e t h a n a ny o t h e r EV a va ila b le .\nEPA ra n g e in m ile s\nMe g a p a c k - 3 MW h b a t t e ry\nEn e rg y sto ra g e d e p lo ym e n t re a c h e d a n a ll-t im e h ig h o f 4 77 MW h in Q 3 . Ad d it io n a lly, w e h a ve re c e n t ly in t ro d u c e d Te sla Me g a p a c k a 3 MW h b a t te ry p a c k, p re a sse m b le d a t t h e Gig a fa c to ry a s a sin g le u n it . Su c h p a c ka g in g a llo w s fo r fa ste r d e p lo ym e n t a n d lo w e r o ve ra ll in st a lla t io n c o st . First d e live rie s a re p la n n e d to b e g in in\nQ 4 20 19 .\nW e a lso la u n c h e d a c o m m e rc ia l so la r c o n fig u ra to r fo r sm a ll a n d m e d iu m e n te rp rise s, w it h st a n d a rd ize d a n d t ra n sp a re n t p ric in g . So la r d e p lo ym e n t s h a ve st a rte d to g ro w se q u e n t ia lly o n c e a g a in . In Q 3 , w e d e p lo ye d 4 3 MW o f so la r, 4 8 % m o re t h a n in t h e p rio r q u a rte r.\nTe s la In s u ra n c e\nIn Au g u st , w e la u n c h e d Te sla In su ra n c e fo r Ca lifo rn ia c u sto m e rs, e n a b lin g m a ny c u sto m e rs to re d u c e in su ra n c e c o st s b y u p to 20 -3 0 %. Th is to t a l c o st o f o w n e rsh ip a p p ro a c h is a n im p o rt a n t ste p to m a ke o u r c a rs m o re a ffo rd a b le . Sin c e la u n c h in g t h is p ro d u c t , w e h a ve se e n st ro n g in te re st fro m o u r n e w a n d e xist in g c u sto m e rs in\nCa lifo rn ia a n d a re w o rkin g to e xp a n d in su ra n c e in to a d d it io n a l m a rke t s.\n9O U T L O O K\nVe h ic le De live rie s\nDe live rie s s h o u ld in c re a s e s e q u e n t ia lly a n d a n n u a lly, w it h s o m e e xp e c t e d flu c t u a t io n s fro m s e a s o n a lit y. W e a re h ig h ly c o n fid e n t in e xc e e d in g 3 6 0 ,0 0 0 d e live rie s t h is ye a r.\nCa s h F lo w\nPo s it ive q u a rt e rly fre e c a s h flo w g o in g fo rw a rd , w it h p o ss ib le t e m p o ra ry e xc e p t io n s , p a rt ic u la rly a ro u n d t h e la u n c h a n d ra m p o f n e w p ro d u c t s . W e c o n t in u e t o b e lie ve o u r b u s in e ss h a s g ro w n t o t h e p o in t o f b e in g s e lf fu n d in g .\nPo sit ive GAAP ne t inco m e g o in g fo rw a rd , w it h p o ss ib le t e m p o ra ry e xc e p t io n s , p a rt ic u la rly a ro u n d t h e la u n c h a n d ra m p o f n e w p ro d u c t s . Co nt inuo us vo lum e g ro w t h, c a p a c it y e xp a nsio n , a nd c a sh g e ne ra t io n re m a in t he m a in fo c us.\nTria l p ro d u c t io n o f Mo d e l 3 in Sh a ng ha i ha s b e g un , a he a d o f sc he d ule . W e a re a lso a he a d o f sc he d u le to p ro d uc e\nMo d e l Y a nd no w e xp e c t to la unc h b y sum m e r 20 20 . W e a re p la nn in g to p ro d uc e lim ite d vo lum e s o f Te sla Se m i in 20 20 a nd a re ho p in g to a nno u nc e so o n t he lo c a t io n o f o ur Eu ro p e a n Gig a fa c to ry fo r p ro d u c t io n in 20 21.\n10 P H O T O S C H A R T S\nG I G A F A C T O R Y S H A N G H A I S T A M P I N G P R E S S\nG I G A F A C T O R Y S H A N G H A I B O D Y S H O P\n15 G I G A F A C T O R Y S H A N G H A I P A I N T S H O P\n16 G I G A F A C T O R Y S H A N G H A I G E N E R A L A S S E M B L Y\n17 G I G A F A C T O R Y S H A N G H A I E X T E R I O R\n18 G I G A F A C T O R Y S H A N G H A I 1 0 M O N T H S F R O M G R O U N D B R E A K I N G T O P R O D U C T I O N R E A D Y\nJ a n u a ry 2 0 19\nO c t o b e r 2 0 19\n19 K E Y M E T R I C S Q U A R T E R L Y\n10 0 ,0 0 0 1.5 0 .8\n70 ,0 0 0\n50 ,0 0 0 0 .0 0 .0\n0-1.5 -0 .8\nO p e ra t in g c a s h flo w ( $ B)\nO p e ra t in g c a s h flo w le s s c a p e x ( $ B)\nVe h ic le De live rie s ( u n it s )\nNe t In c o m e ( $ B)\n20 K E Y M E T R I C S T R A I L I N G 1 2 M O N T H S ( T T M )\n35 0 ,0 0 0 5.0 3.0\n250 ,0 0 0\n15 0 ,0 0 0\n0 .0 0 .0\n21 F I N A N C I A L S T A T E M E N T S\n2 2 S T A T E M E N T O F O P E R A T I O N S\nThre e m o n th s e nd e d\nNine m o n ths e nd e d\nSe p 30 , 20 19\nJ une 30 , 20 19\nSe p 30 , 20 18\nIn m illio n s o f USD o r s h a re s a s a p p lic a b le , e xc e p t p e r s h a re d a t a REVEN UES\n5,132 5,16 8 5,8 78 13,8 0 9 11,558\n221 20 8 221 6 4 4 6 34\nAu t o m o t ive s a le s\nAu t o m o t ive le a s in g\n5,353 5,376 6 ,0 9 9 14 ,4 53 12,19 2\n4 0 2 39 9 1,0 9 5 1,18 3\nTo t a l a u t o m o t ive re ve n u e\nEn e rg y g e n e ra t io n a n d s t o ra g e\n54 8 1,6 4 6 6 0 5 327 8 6 0\nSe rvic e s a n d o t h e r\n6 ,30 3 17,19 4 6 ,8 24 14 ,23 5\nTo t a l re ve n u e s\nCO S T O F REVEN UES\n4 ,0 14 4 ,254 11,124 9 ,0 27\n4 ,4 0 6\n117 10 6 119 34 0 36 1\n4 ,131 4 ,36 0 4 ,525 11,4 6 4 9 ,38 8\n314 9 56 1,0 36\nTo t a l a u t o m o t ive c o s t o f re ve n u e s\n6 6 7 1,212 74 3 4 4 5 2,0 9 6\n1,524 9 21 1,19 1 2,6 78 2,59 9\n5,4 29 5,112 14 ,516 5,30 0 11,6 36\nTo t a l c o s t o f re ve n u e s\nGro s s p ro fit\nO P ERATING EXP EN S ES\n59 6 6 4 7 730 1,9 4 7 2,16 7\n334 324 351 9 9 8 1,10 4\n117 27 16 1 130\nRe s e a rc h a n d d e ve lo p m e n t\nSe llin g , g e n e ra l a n d a d m in is t ra t ive\nRe s t ru c t u rin g a n d o t h e r\n9 30 1,0 8 8 1,10 8 3,10 6 3,4 0 1\n26 1 (16 7) 4 16 (4 28 ) (8 0 2)\n15 10 734 17\nTo t a l o p e ra t in g e xp e n s e s\nINCO ME ( LO S S ) F RO M O P ERATIO NS\nIn t e re s t in c o m e\n8 5 (4 1) 23 70 36\n(18 5) (172) (175) (515)\n(4 8 8 )\nIn t e re s t e xp e n s e\nO t h e r in c o m e (e xp e n se ), n e t\n176 (370 ) 271 (8 39 ) (1,237)\n26 19 17 6 8 36\nINCO ME ( LO S S ) BEF O RE IN C O ME TAXES\nP ro vis io n fo r in c o m e t a xe s\n150 (38 9 ) 254 (9 0 7) (1,273)\n719 (57) 6 0 (157)\nN ET INCO ME ( LO S S )\nNe t in c o m e (lo ss) a t t rib u t a b le t o n o n c o n t ro llin g in t e re s t s a n d re d e e m a b le n o n c o n t ro llin g in t e re s t s\n14 3 311 (1,116 ) (9 6 7)\nN ET IN C O ME ( LO S S ) ATTRIBUTABLE TO C O MMO N S TO C KHO LDERS\nNe t in c o m e (lo s s ) p e r s h a re o f c o m m o n s t o c k a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs\n0 .8 0 (2.31) 1.8 2 (5.54 ) (6 .56 )\n0 .78 (2.31) 1.75 (5.54 ) (6 .56 )\nDilu t e d\nW e ig h t e d a ve ra g e s h a re s u s e d in c o m p u t in g n e t in c o m e (lo s s ) p e r s h a re o f c o m m o n s t o c k\n18 4 177 178 176 170\n179 177 171 176 170\n2 3 B A L A N C E S H E E T\nDe c 31, 20 18\nMa rc h 31, 20 19\nIn m illio ns o f USD\nCurre nt a sse ts\nCa sh a nd c a sh e q uiva le nts 2,9 6 8 3,6 8 6 2,19 8 4 ,9 55 5,338\nRe st ric te d c a sh 159 19 3 131 128 233\nAc c o unts re c e iva b le , ne t 1,155 9 4 9 1,0 4 7 1,14 7 1,128\nPre p a id e xp e nse s a nd o t he r c u rre n t a sse ts 324 36 6 4 6 5 570 6 6 0\nTo t a l c urre n t a sse ts 7,9 20 8 ,30 7 7,6 78 10 ,18 2\nInve nto ry 3,314 3,113 3,8 37 3,38 2 3,58 1\n2,18 6 2,0 9 0 1,9 73 2,0 70 2,253\n6 ,30 2 6 ,271 6 ,24 2 6 ,20 1 6 ,16 8\n11,24 6 11,330 9 ,8 51 10 ,19 0\n10 ,0 8 2\n350 357 34 8 4 8 1 537\n10 ,9 4 0\n1,253 1,24 8 1,23 4\nO p e ra ting le a se ve hic le s, ne t\nSo la r e ne rg y syste m s, ne t\nPro p e rty, p la nt a nd e q uip m e n t, n e t\nO p e ra ting le a se rig ht -o f-use a sse ts\nGo o d w ill a nd inta ng ib le a sse ts, n e t\nMyPo w e r c usto m e r no te s re c e iva b le , n e t o f c u rre n t p o rtio n 4 23 4 22 4 13 4 0 0 39 8\nRe st ric te d c a sh , ne t o f c urre nt p o rtio n 39 7 39 8 354 36 6 255\nO the r a sse ts 8 0 1 8 4 3 8 20 4 32 572\nTo t a l a sse ts\n2 9 ,2 6 3\n2 9 ,7 4 0\n2 8 ,9 13\n3 1,8 7 3\n3 2 ,7 9 5\nLIABILITIES AND EQ UITY\nCurre nt lia b ilitie s\nAc c o unts p a ya b le 3,59 7 3,4 0 5 3,24 9 3,134 3,4 6 8\nAc c rue d lia b ilitie s a nd o t he r 1,9 9 0 2,0 9 4 2,277 2,6 23 2,4 9 7\nDe fe rre d re ve nue 571 6 30 76 3 8 8 4 1,0 4 5\nRe sa le va lue g ua ra nte e s 4 4 1 6 0 5 50 3 4 8 0 527\nCusto m e r d e p o sits 9 0 6 79 3 76 8 6 31 6 6 5\nCurre nt p o rtio n o f lo ng -te rm d e b t a n d fina n c e le a se s (1) 2,10 7 2,56 8 1,70 6 1,79 1 2,0 30\nTo t a l c urre n t lia b ilitie s 9 ,776 9 ,24 3 9 ,59 0 10 ,14 6\nLo n g -te rm d e b t a nd fina nc e le a se s, n e t o f c u rre n t p o rtio n (1) 9 ,6 73 9 ,78 8 11,23 5 11,313\nDe fe rre d re ve nue , ne t o f c urre n t p o rtio n 9 50 9 9 1 1,157 1,18 2 1,14 0\nRe sa le va lue g ua ra nte e s, ne t o f c u rre n t p o rtio n 6 1 4 56 329 211 38\nO the r lo ng -te rm lia b ilitie s 2,6 56 2,555 2,710 2,4 76 2,6 76\nTo t a l lia b ilitie s\nRe d e e m a b le no nc o ntro lling inte re sts in sub sid ia rie s 58 0 551 556 570 6 0 0\nTo t a l sto c kh o ld e rs' e q uity 4 ,50 9 4 ,9 23 5,715\n9 ,9 9 3\n9 ,4 0 4\n2 4 ,7 2 4\n2 3 ,4 10\n2 3 ,4 2 7\n79 3 8 34 8 6 2 8 4 2 8 54\n2 2 ,8 7 5\n4 ,6 0 6\n2 5 ,3 13\n6 ,0 4 0\nNo nc o ntro lling inte re sts in su b sid ia rie s\nTo t a l lia b ilitie s a nd e q uity\n(1) Bre a kd o w n o f o ur d e b t is a s fo llo w s:\nRe c o u rse d e b t 7,251 7,0 8 1 6 ,517 7,8 13 7,8 8 2\n3,24 8 3,552 3,4 8 6 3,553 3,8 57\nNo n -re c o urse d e b t\n2 4 S T A T E M E N T O F C A S H F L O W S\nSe p 30 , 20 19 Se p 30 , 20 18\nSe p 3 0 , 20 19\nCa s h F lo w s fro m O p e ra t in g Ac t ivit ie s\nNe t inc o m e (lo ss) 150 (38 9 ) 254 (9 0 7) (1,273)\nAd ju stm e n ts to re c o nc ile ne t inc o m e (lo ss) to n e t c a sh p ro vid e d b y o p e ra ting a c tivitie s:\nDe p re c ia tio n , a m o rtiza t io n a n d im p a irm e n t 530 579 50 3 1,577 1,4 0 4\nSt o c k-b a se d c o m p e nsa tio n 19 9 210 20 5 6 17 54 4\nO p e ra ting c a sh flo w re la te d to re p a ym e n t o f d isc o u nte d c o n ve rtib le n o te s (18 8 )\nO th e r 4 6 1 6 8 177 78 329\n(19 1) 28 7 351 (14 1) (58 0 )\n756 8 6 4 8 6 3 9 8 0 1,39 1\nCha n g e s in o p e ra ting a sse ts a n d lia b ilitie s, n e t o f e ffe c t o f b u sin e ss c o m b in a tio ns\nNe t c a sh p ro vid e d b y o p e ra ting a c tivitie s\nCa s h F lo w s fro m In ve s t in g Ac t ivit ie s\nCa p ita l e xp e nd iture s (38 5) (250 ) (510 ) (9 15) (1,776 )\n(25) (18 ) (50 ) (6 8 ) (18 9 )\nPa ym e nts fo r the c o st o f so la r e n e rg y syste m s, n e t\nPurc ha se o f inta ng ib le a sse ts (5) (5)\nBusine ss c o m b ina tio ns, ne t o f c a sh a c q u ire d (76 ) 32 (1) (4 5) (7)\nNe t c a sh use d in inve sting a c tivitie s (24 1) (56 1) (1,0 33) (1,9 72)\n(4 8 6 )\nCa s h F lo w s fro m F in a n c in g Ac t ivit ie s\nNe t c a sh flo w s fro m d e b t a c tivitie s (19 ) 1,34 9 (19 6 ) 8 12 221\n(8 3) (8 5) (14 3) (30 2) (34 3)\n14 7 35 115 14 9 4 0 3\nCo lla te ra lize d le a se re p a ym e n ts\nNe t b o rro w ing s und e r W a re ho use Ag re e m e n ts a n d a u to m o t ive a sse t -b a c ke d n o te s\nNe t c a sh flo w s fro m no nc o ntro llin g inte re sts - Au to 74 30 19 17 16\nNe t c a sh flo w s fro m no nc o ntro llin g inte re sts - So la r (28 ) (4 1) 27 (8 2) 111\nPro c e e d s fro m issu a nc e s o f c o m m o n sto c k in p u b lic o ffe ring s 8 4 8 8 4 8\n71 O the r 18 16 7 9 5 220\nNe t c a sh p ro vid e d b y (use d in) fina n c in g a c tivitie s 6 8 6 118 2,14 3 (8 5) 1,6 0 8\nEffe c t o f e xc ha ng e ra te c ha ng e s o n c a sh a n d c a sh e q u iva le n ts a nd re stric te d c a sh (12) 1(6 ) (6 ) (19 )\nNe t inc re a se (d e c re a se ) in c a sh a n d c a sh e q u iva le n ts a n d re stric te d c a sh 376 739 1,54 9 (4 4 2) 2,76 7\nCa sh a n d c a sh e q uiva le nts a n d re stric te d c a sh a t b e g inn in g o f p e rio d 4 ,277 3,9 6 5 2,6 8 3 5,4 50 2,78 3\nCa sh a n d c a sh e q uiva le nts a n d re stric te d c a sh a t e n d o f p e rio d 5,8 26 3,523 5,4 50 5,8 26 3,522\n2 5 R E C O N C I L I A T I O N O F G A A P T O N O N G A A P F I N A N C I A L I N F O R M A T I O N\nThre e m o n ths e nd e d\nIn m illio n s o f USD o r s h a re s a s a p p lic a b le , e xc e p t p e r s h a re d a t a Se p 30 , 20 19\n14 3 (4 0 8 ) 311 (9 6 7) (1,116 )\nNe t in c o m e ( lo s s ) a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs GAAP\nSt o c k-b a se d c o m p e nsa tio n e xp e n se\n210 19 9 20 5 6 17 54 4\nNe t in c o m e ( lo s s ) a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs n o n -GAAP\n34 2 516 (19 8 ) (350 ) (572)\nNe t in c o m e ( lo s s ) p e r s h a re a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs , b a s ic GAAP\n1.11 1.19 1.20 3.51 3.20\nNe t in c o m e ( lo s s ) p e r s h a re a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs , b a s ic n o n -GAAP\n1.9 1 3.0 2 (1.12) (2.0 3) (3.36 )\n179 171 177 176 170\nSh a re s u s e d in p e r s h a re c a lc u la t io n , b a s ic\nGAAP a n d n o n -GAAP\nNe t in c o m e ( lo s s ) p e r s h a re a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs , d ilu t e d GAAP\n1.0 8 1.19 1.15 3.51 3.20\nNe t in c o m e ( lo s s ) p e r s h a re a t t rib u t a b le t o c o m m o n s t o c kh o ld e rs , d ilu t e d - n o n -GAAP\nSh a re s u s e d in p e r s h a re c a lc u la t io n , d ilu t e d - GAAP a n d n o n -GAAP\n1.8 6 (1.12) 2.9 0 (2.0 3) (3.36 )\nNe t in c o m e ( lo s s ) GAAP\nIn te re st inc o m e\n(15) (10 ) (7) (34 ) (17)\nIn te re st e xp e nse\n18 5 172 515 175 4 8 8\nPro visio n fo r inc o m e ta xe s\nDe p re c ia tio n, a m o rtiza t io n a n d im p a irm e n t\nEBITDA - n o n -GAAP\n530 579 50 3 1,577 1,4 0 4\n371 8 76 9 4 2 1,219 6 38\n6 ,350 6 ,30 3 6 ,8 24 17,19 4 14 ,23 5\nTo t a l re ve nue s\n13.9 % 13.8 % 7.1% 5.8 % 4 .5%\nEBITDA m a rg in - n o n -GAAP\nAu t o m o t ive g ro s s m a rg in GAAP 22.8 % 18 .9 % 25.8 % 20 .7% 23.0 %\nTo t a l re g ula to ry c re d it re ve n ue re c o g n ize d -2.0 % -1.7% -2.4 % -2.6 % -5.4 %\nAu t o m o t ive g ro s s m a rg in e xc lu d in g re g u la t o ry c re d it s 20 .8 % 17.2% 23.4 % 18 .1% 17.6 %\nn o n -GAAP\nIn m illio ns o f USD 1Q -20 17 2Q -20 17 3Q -20 17 1Q -20 18 2Q -20 18 3Q -20 18 1Q -20 19 2Q -20 19 3Q -20 19\n4 Q -20 16\nGAAP (4 4 8 ) (70 ) (20 0 ) 510 (39 8 ) 1,39 1 8 6 4 756 (30 1) (130 ) 1,23 5\n4 Q -20 17\n4 Q -20 18\nNe t c a s h ( u s e d in ) p ro vid e d b y o p e ra t in g a c t ivit ie s\nCa p ita l e xp e nd iture s (1,116 ) (6 10 ) (325) (28 0 ) (522) (553) (9 59 ) (78 7) (6 56 ) (510 ) (250 ) (38 5)\n(1,0 54 ) (1,159 ) (9 70 ) (277) (6 23) (1,4 17) (74 0 ) 9 10 (9 20 ) 8 8 1 6 14 371\nO p e ra t in g c a s h flo w le s s c a p it a l e xp e n d it u re s n o n -GAAP\nNe t c a s h ( u s e d in ) p ro vid e d b y o p e ra t in g a c t ivit ie s - TTM GAAP (124 ) 56 (29 4 ) (1,0 19 ) (6 1) (38 9 ) (319 ) 1,373 2,0 9 8 1,8 56 2,8 50 2,215\nCa p ita l e xp e nd iture s TTM (1,28 2) (1,6 18 ) (2,28 2) (3,150 ) (3,4 15) (3,518 ) (3,16 9 ) (2,56 3) (2,10 1) (1,725) (1,36 5) (1,24 0 )\n(1,4 0 6 ) (1,56 2) (2,576 ) (3,4 76 ) (3,9 0 7) (1,19 0 ) (3) 131 1,4 8 5 9 75\n(4 ,16 9 )\n(3,4 8 8 )\nO p e ra t in g c a s h flo w le s s c a p it a l e xp e n d it u re s - TTM n o n -GAAP\n1 EBITDA m a rg in is EBITDA a s a p e rce nta g e o f To t a l re ve nue s\n2 6 A D D I T I O N A L I N F O R M A T I O N\nW EBCAST INF O RMATIO N\nTe sla w ill p ro vid e a live w e b c a st o f it s t h ird q u a rte r 20 19 fin a n c ia l re su lt s co nfe re nce c a ll b e g inn in g a t 3:30 p .m . PT o n O c to b e r 23, 20 19 , a t ir.te sla .co m . Th is w e b c a st w ill a lso b e a va ila b le fo r re p la y fo r a p p roxim a te ly o ne ye a r t h e re a fte r.\nNO N-GAAP F INANCIAL INF O RMATIO N\nCo nso lid a te d fin a n c ia l in fo rm a t io n h a s b e e n p re se nte d in a cco rd a n ce w it h GAAP a s w e ll a s o n a n o n -GAAP b a sis to su p p le m e n t o ur c o nso lid a te d fin a n c ia l re su lt s. O u r n o n -GAAP fin a n c ia l m e a su re s inc lu d e n o n -GAAP a u to m o t ive g ro ss m a rg in , no n -GAAP ne t in co m e (lo ss) a t t rib u t a b le to co m m o n sto c kh o ld e rs, n o n -GAAP n e t in co m e (lo ss) a t t rib u t a b le to co m m o n sto c kh o ld e rs o n a p e r sh a re b a sis, e a rn in g s b e fo re in te re st , t a x,\n). Ma n a g e m e n t b e lie ve s t h a t it is u se fu l to su p p le m e n t it s GAAP fin a n c ia l st a te m e nt s w it h t h is n o n -GAAP in fo rm a t io n b e c a u se m a n a g e m e n t u se s su c h info rm a t io n in te rn a lly fo r it s o p e ra t in g , b u d g e t in g a n d fin a n c ia l p la n n in g p u rp o se s. Th e se n o n a lso b e lie ve s t h a t p re se nt a t io n o f t h e n o n -GAAP fin a n c ia l m e a su re s p ro vid e s u se fu l in fo rm a t io n to o u r inve sto rs re g a rd in g o ur fin a n c ia l co nd it io n a n d re su lt s o f o p e ra t io n s b e c a u se it a llo w s inve sto rs g re a te r t ra n sp a re nc y to t h e in fo rm a t io n u se d b y Te sla m a n a g e m e n t in it s fin a n c ia l a n d o p e ra t io n a l d e c isio n m a kin g so t h a t inve sto rs c a n se e t h ro ug h t h e eye s o f Te sla m a n a g e m e n t re g a rd in g im p o rt a n t fin a n c ia l m e t ric s t h a t Te sla m a n a g e m e n p e rfo rm a n ce . No n -GAAP info rm a t io n is n o t p re p a re d u n d e r a co m p re he n sive se t o f a cco un t in g ru le s a n d t h e re fo re , sh o uld o n ly b e re a d in co nju n c t io n w it h fin a n c ia l in fo rm a t io n re p o rte d u n d e r U.S. GAAP w h e n\n-GAAP fina n c ia l in fo rm a t io n is p ro vid e d a b o ve .\nF O RW ARD-LO O KING STATEMENTS\nCe rt a in st a te m e nt s in t h is e live rie s, m a rke t sh a re , fe a t u re s a n d / o r t im in g o f e xist in g a n d fu t u re\nTe sla p ro d u c t s a n d te c h n o lo g ie s su c h a s Mo d e l 3, Mo d e l Y, Te sla Se m i, Te sla p ic ku p t ru c k, Te sla Ro a d ste r, Au to p ilo t a n d Fu ll Se lf Drivin g fe a t u re s, o ur e n e rg y p ro d u c t s su c h a s Me g a p a c k, a n d o u r fin a n c ia l se rvice s su c h a s\nTe sla In su ra n ce ; st a te m e nt s re g a rd in g g ro w in g m a rke t o p p o rt u n it ie s a n d m a rke t sh a re fo r Te sla p ro d u c t s a n d se rvice s a n d t h e c a t a lyst s fo r t h a t g ro w t h ; st a te m e nt s re g a rd in g g ro w t h in se rvice a n d re p a ir c a p a b ilit ie s; st a te m e n t s re g a rd in g re ve nu e , c a sh a va ila b ilit y a n d g e n e ra t io n , c a sh flo w, g ro ss m a rg in , sp e n d in g , c a p it a l e xp e nd it u re a n d p ro fit a b ilit y t a rg e t s; st a te m e nt s re g a rd in g p ro d u c t ivit y im p ro ve m e nt s, co st re d uc t io n s a n d c a p a c it y e xp a n sio n p la n s; st a te m e n t s re g a rd in g e xp a n sio n a n d ra m p a t t h e Te sla Fa c to ry, Gig a fa c to ry Sha n g h a i a n d a fu t u re Gig a fa c to ry in Eu ro p e , in c lu d in g co st , p ro je c t fin a n c in g , re g ula to ry c le a ra n ce a n d t im in g , p la n s\n--lo o kin g st a u n ce rt a in t ie s, a c t u a l re su lt s m a y d iffe r m a te ria lly fro m t h o se p ro je c te d . Th e fo llo w in g im p o rt a n t fa c to rs, w it h o ut lim it a t io n , co uld c a u se a c t u a l re su lt s to d iffe r m a te ria lly fro m t h o se in t h e fo rw a rd -lo o kin g st a te m e nt s: t h e risk o f d e la ys in t h e m a n u fa c t u re , p ro d u c t io n , d e live ry a n d / o r co m p le t io n o f o ur ve hic le s a n d e ne rg y p ro d u c t s a n d p ro d u c t fe a t u re s, in c lu d in g Mo d e l 3 a n d o ur a u to no m o us d rivin g fe a t u re s; o u r a b ilit y to g ro w o ur p ro d u c t io n , sa le s, d e live ry a n d se rvic in g c a p a b ilit ie s, a n d m a n a g e fu t u re g ro w t h e ffe c t ive ly, e sp e c ia lly in te rn a t io n a lly; co n su m sim u lt a n e o u s a n d se p a ra te m a rke t a cce p t a n ce o f a n d d e m a n d fo r o ur ve hic le s, inc lu d in g fu t u re ve hic le m o d e ls su c h a s Mo d e l Y; t h e a b ilit y o f su p p lie rs to m e e t q u a lit y a n d p a rt d e live ry e xp e c t a t io n s a t in c re a sin g vo lum e s, e sp e c ia lly w it h re sp e c t to o u r h ig h -vo lum e m o d e ls; o ur a b ilit y to su st a in a n d fu rt h e r g ro w o ur ra m p o f b a t te ry ce ll, e ne rg y p ro d u c t a n d p ro d u c t co m p o n e n t p ro d u c t io n a t Gig a fa c to ry1; o ur a b ilit y to ra m p Gig a fa c to ry\nSha n g h a i in a cco rd a n ce w it h o ur p la n s; a ny fa ilure s b y Te sla p ro d u c t s to p e rfo rm a s e xp e c te d o r if p ro d u c t re c a lls o cc u r; o ur a b ilit y to co nt in u e to re d uce o r co nt ro l m a n u fa c t u rin g a n d o t h e r co st s; co m p e t it io n in t h e a u to m o t ive a n d e ne rg y p ro d u c t m a rke t s g e n e ra lly a n d t h e a lte rn a t ive fue l ve hic le m a rke t a n d t h e p re m iu m ve hic le m a rke t s in p a rt ic u la r; o ur a b ilit y to e xe c u te o n o u r e vo lvin g st ra te g y fo r p ro d u c t sa le s, se rvice , c h a rg in g a n d o t h e r c u sto m e r in fra st ru c t u re ; t h e un a va ila b ilit y, re d uc t io n o r e lim in a t io n o f g o ve rn m e nt a n d e co no m ic ince nt ive s fo r e le c t ric ve hic le s a n d e ne rg y p ro d u c t s; p o te n t ia l d iffic u lt ie s in p e rfo rm in g a n d re a lizin g p o te n t ia l b e ne fit s u n d e r d e fin it ive a g re e m e nt s fo r o ur e xist in g a n d fu t u re m a n u fa c t u rin g fa c ilit ie s; o ur a b ilit y to a t t ra c t a n d re t a in ke y e m p lo ye e s a n d q u a lifie d p e rso n n e l; o ur a b ilit y to m a in t a in t h e se c u rit y o f o ur in fo rm a t io n a n d p ro d u c t syste m s; o ur co m p lia n ce w it h va rio u s re g ula t io n s a n d la w s a p p lic a b le to o u r o p e ra t io n s a n d p ro d u c t s, w h ic h m a y e vo lve fro m t im e to t im e ; risks re la t in g to o ur in d e b te d ne ss a n d fin a n c in g st ra te g ie s; a n d a d ve rse fo re ig n e xc h a n g e m o ve m e nt s. Mo re in fo rm a t io n o n p o te nt ia l fa c to rs t h a t co uld a ffe c t o ur fin a n c ia l re su lt s is in c lu d e d fro m t im e to t im e in o ur Se c u rit ie s a n d Exc h a n g e Co m m issio n filin g s a n d re p o rt s, in c lu d in g t h e risks\n-Q file d w it h t h e SEC o n J u ly 29 , 20 19 . Te sla d isc la im s a ny o b lig a t io n to up d a te in fo rm a t io n co nt a in e d in t h e se fo rw a rd -lo o kin g st a te m e n t s w h e t h e r a s a re su lt o f n e w in fo rm a t io n , fu t u re e ve nt s, o r o t h e rw ise .


January 2017 Area Code 843 Robocall Data\nTop 20 Robocallers to Area Code 843 in January 2017\n2. 803-708-1111 Columbia, SC Time Warner Cable TIFFNEY DAVIS Unknown Robocaller\n3. 843-790-0026 Charleston, SC Inteliquent Suspected spam Unknown Robocaller\n5. 757-377-1527 Virginia Beach, VA Verizon Wireless CHAD PHILLIPS Unknown Robocaller\n6. 843-310-2794 Charleston, SC Bandwidth CLEC - Syniverse Unknown Unknown Robocaller\n10. 843-353-0117 Charleston, SC Level 3 Communications Unknown Unknown Robocaller\n15. 843-203-9196 Charleston, SC Bandwidth.com CLEC, LLC Prison Call Payment Prison Prepaid Call\n17. 843-937-6300 Charleston, SC South Carolina Net, Inc. Graber, Linda Unknown Robocaller\n19. 843-488-6550 Charleston, SC Unknown Horry County Schools Unknown Robocaller


Villa en location à Peschiera del Garda - San Benedetto, Peschiera del Garda (Vérone) Lac de Garde\nItalie / Vénétie / Vérone / Peschiera del Garda / Villa Ref. 359043\nVilla en location à Peschiera del Garda\nNum. référence Rentalia: 359043


3. MLB Tim Lincecum SFN NL 2011 27 33 33 3605 217.0 217.0 0.0 13 14 0 900 794 74 66 176 111 48 2 15 273 86 81 5 220 6 1 13 2.74 44.1 4.64\n4. MLB Trevor Cahill OAK AL 2011 23 34 34 3385 207.7 207.7 0.0 12 14 0 901 797 102 96 214 152 40 3 19 317 82 81 1 147 8 6 8 4.16 19.6 1.93\n10. MLB Jon Lester BOS AL 2011 27 31 31 3192 191.7 191.7 0.0 15 9 0 799 709 77 74 166 111 31 4 20 265 75 75 0 182 11 2 2 3.47 32.7 3.29\n12. MLB James Mcdonald PIT NL 2011 26 31 31 2899 171.0 171.0 0.0 9 9 0 754 657 86 80 176 118 33 1 24 283 78 74 4 142 7 5 6 4.21 -4.3 -0.46\n13. MLB C.j. Wilson TEX AL 2011 30 34 34 3593 223.3 223.3 0.0 16 7 0 915 823 89 73 191 129 43 3 16 288 74 74 0 206 10 5 3 2.94 45.9 4.81\n14. MLB John Lannan WAS NL 2011 26 33 33 2939 184.7 184.7 0.0 10 13 0 808 714 90 76 194 142 35 2 15 278 76 73 3 106 7 1 10 3.70 -5.4 -0.49\n15. MLB Charlie Morton PIT NL 2011 27 29 29 2736 171.7 171.7 0.0 10 10 0 769 661 82 73 186 143 32 5 6 246 77 72 5 110 13 6 12 3.83 9.1 1.00\n18. MLB Dillon Gee NYN NL 2011 25 30 27 2603 160.7 156.3 4.3 13 6 0 706 606 85 79 150 97 31 4 18 243 71 67 4 114 14 5 10 4.43 -2.8 -0.10\n19. MLB Tyler Chatwood ANA AL 2011 21 27 25 2418 142.0 136.7 5.3 6 11 0 633 547 81 75 166 120 30 2 14 242 71 67 4 74 6 3 6 4.75 -18.9 -2.00\n20. MLB Felix Hernandez SEA AL 2011 25 33 33 3610 233.7 233.7 0.0 14 14 0 964 880 99 90 218 166 28 5 19 313 67 67 0 222 7 7 3 3.47 64.4 6.87\n24. MLB Jake Westbrook SLN NL 2011 33 33 33 3058 183.3 183.3 0.0 12 9 0 809 718 103 95 208 144 40 8 16 312 73 65 8 104 2 5 11 4.66 9.6 1.44\n25. MLB Randy Wolf MIL NL 2011 34 33 33 3377 212.3 212.3 0.0 13 10 0 903 805 95 87 214 143 45 3 23 334 66 65 1 134 13 6 13 3.69 -2.9 -0.22\n27. MLB Jeremy Hellickson TBA AL 2011 24 29 29 2954 189.0 189.0 0.0 13 10 0 774 695 64 62 146 81 38 6 21 259 72 64 8 117 4 2 1 2.95 29.8 2.97\n28. MLB Chris Narveson MIL NL 2011 29 30 28 2640 161.7 158.7 3.0 11 8 0 699 623 82 80 160 104 34 5 17 255 65 64 1 126 1 4 6 4.45 -9.0 -0.91\n30. MLB Bud Norris HOU NL 2011 26 31 31 3147 186.0 186.0 0.0 6 11 0 795 707 93 78 177 113 38 2 24 291 70 63 7 176 5 4 9 3.77 27.7 3.26\n31. MLB Joe Saunders ARI NL 2011 30 33 33 3217 212.0 212.0 0.0 12 13 0 874 790 94 87 210 139 35 7 29 346 67 63 4 108 3 5 9 3.69 0.5 0.05\n32. MLB Wade Davis TBA AL 2011 25 29 29 2952 184.0 184.0 0.0 11 10 0 795 712 96 91 190 118 43 6 23 314 63 62 1 105 8 7 5 4.45 -0.2 -0.03\n33. MLB Wandy Rodriguez HOU NL 2011 32 30 30 3146 191.0 191.0 0.0 11 11 0 808 724 81 74 182 115 37 5 25 304 69 62 7 166 5 3 7 3.49 22.0 2.38\n34. MLB Edinson Volquez CIN NL 2011 27 20 20 1952 108.7 108.7 0.0 5 7 0 489 409 72 69 106 60 24 3 19 193 65 62 3 104 4 6 5 5.71 8.7 0.61\n35. MLB Justin Masterson CLE AL 2011 26 34 33 3460 216.0 215.0 1.0 12 10 0 908 822 89 77 211 159 39 2 11 287 65 61 4 158 11 5 5 3.21 35.7 3.92\n36. MLB Brad Penny DET AL 2011 33 31 31 2953 181.7 181.7 0.0 11 11 0 803 726 117 107 222 147 45 6 24 351 62 61 1 74 4 6 5 5.30 -16.4 -1.90\n37. MLB Jeremy Guthrie BAL AL 2011 32 34 32 3316 208.0 203.7 4.3 9 17 0 889 798 113 100 213 128 55 4 26 354 66 61 5 130 9 10 5 4.33 -2.1 0.31\n38. MLB Mat Latos SDN NL 2011 23 31 31 3150 194.3 194.3 0.0 9 14 0 799 721 82 75 168 115 28 9 16 262 62 59 3 185 1 7 8 3.47 36.9 4.24\n39. MLB Zach Britton BAL AL 2011 23 28 28 2509 154.3 154.3 0.0 11 11 0 666 588 93 79 162 118 31 1 12 231 62 59 3 97 1 7 8 4.61 5.5 0.49\n40. MLB Mike Pelfrey NYN NL 2011 27 34 33 3210 193.7 193.3 0.3 7 13 0 860 770 111 102 220 155 37 7 21 334 65 58 7 105 7 8 10 4.74 -8.3 -1.14\n41. MLB Yovani Gallardo MIL NL 2011 25 33 33 3462 207.3 207.3 0.0 17 10 0 865 788 92 81 193 136 27 3 27 307 59 58 1 207 1 7 10 3.52 38.8 4.23\n43. MLB Luke Hochevar KCA AL 2011 27 31 31 3120 198.0 198.0 0.0 11 11 0 835 762 110 103 192 114 44 11 23 327 62 58 4 128 7 2 2 4.68 29.0 2.97\n45. MLB Matt Cain SFN NL 2011 26 33 33 3488 221.7 221.7 0.0 12 11 0 907 816 82 71 177 117 46 5 9 260 63 58 5 179 9 6 11 2.88 42.2 4.32\n46. MLB Roberto Hernandez CLE AL 2011 30 32 32 3022 188.7 188.7 0.0 7 15 0 833 743 125 110 205 130 52 1 22 325 60 57 3 109 14 7 9 5.25 13.6 1.32\n49. MLB Justin Verlander DET AL 2011 28 34 34 3941 251.0 251.0 0.0 24 5 0 969 904 73 67 174 116 31 3 24 283 57 57 0 250 3 3 2 2.40 77.9 8.77\n50. MLB Jered Weaver ANA AL 2011 28 33 33 3745 235.7 235.7 0.0 18 8 0 926 857 65 63 182 120 38 4 20 288 56 56 0 198 3 5 5 2.41 55.1 5.75\n51. MLB Anibal Sanchez FLO NL 2011 27 32 32 3226 196.3 196.3 0.0 8 9 0 830 748 85 80 187 123 37 7 20 298 64 56 8 202 5 1 12 3.67 36.1 3.96\n52. MLB Matt Harrison TEX AL 2011 25 31 30 3016 185.7 183.7 2.0 14 9 0 772 701 79 70 180 127 37 3 13 262 57 56 1 126 1 5 8 3.39 20.1 2.30\n53. MLB Ryan Vogelsong SFN NL 2011 33 30 28 2937 179.7 175.0 4.7 13 7 0 752 673 62 54 164 120 24 5 15 243 61 55 6 139 5 3 10 2.71 33.7 3.51\n54. MLB Max Scherzer DET AL 2011 26 33 33 3341 195.0 195.0 0.0 15 9 0 832 760 101 96 207 133 38 7 29 346 56 55 1 174 7 7 3 4.43 19.3 1.52\n55. MLB Colby Lewis TEX AL 2011 31 32 32 3207 200.3 200.3 0.0 14 10 0 839 767 103 98 187 112 35 5 35 337 56 55 1 169 6 5 4 4.40 15.1 1.42\n56. MLB Jason Vargas SEA AL 2011 28 32 32 3250 201.0 201.0 0.0 10 13 0 857 787 105 95 205 143 38 2 22 313 59 55 4 131 4 4 3 4.25 7.6 0.90\n57. MLB Kyle Drabek TOR AL 2011 23 18 14 1473 78.7 72.7 6.0 4 5 0 365 301 54 53 87 56 20 1 10 139 55 55 0 51 1 5 3 6.06 -10.0 -1.07\n58. MLB John Lackey BOS AL 2011 32 28 28 2844 160.0 160.0 0.0 12 12 0 743 660 119 114 203 138 38 7 20 315 56 55 1 108 19 6 2 6.41 -7.2 -0.77\n59. MLB Ian Kennedy ARI NL 2011 26 33 33 3424 222.0 222.0 0.0 21 4 0 900 818 73 71 186 119 44 4 19 295 55 55 0 198 9 9 9 2.88 44.4 4.53\n60. MLB Shaun Marcum MIL NL 2011 29 33 33 3179 200.7 200.7 0.0 13 7 0 822 753 84 79 175 117 33 3 22 280 57 54 3 158 0 6 6 3.54 22.6 2.49\n62. MLB Ivan Nova NYA AL 2011 24 28 27 2562 165.3 164.7 0.7 16 4 0 704 633 74 68 163 111 37 2 13 243 57 54 3 98 6 6 2 3.70 5.2 0.38\n63. MLB Michael Pineda SEA AL 2011 22 28 28 2688 171.0 171.0 0.0 9 10 0 696 629 76 71 133 89 24 2 18 215 55 54 1 173 5 3 4 3.74 39.4 4.15\n68. MLB Josh Beckett BOS AL 2011 31 30 30 2991 193.0 193.0 0.0 13 7 0 767 693 65 62 146 102 23 0 21 232 52 51 1 175 9 5 8 2.89 47.9 5.02\n70. MLB Danny Duffy KCA AL 2011 22 20 20 1955 105.3 105.3 0.0 4 8 0 474 414 66 66 119 72 24 8 15 204 51 50 1 87 5 2 2 5.64 -10.5 -1.22\n71. MLB Tim Hudson ATL NL 2011 35 33 33 3204 215.0 215.0 0.0 16 10 0 884 800 86 77 189 143 30 2 14 265 56 50 6 158 15 7 6 3.22 38.5 4.52\n72. MLB Daniel Hudson ARI NL 2011 24 33 33 3436 222.0 222.0 0.0 16 12 0 921 851 98 86 217 140 53 7 17 335 50 49 1 169 8 6 6 3.49 40.3 4.15\n73. MLB Nick Blackburn MIN AL 2011 29 26 26 2429 148.3 148.3 0.0 7 10 0 670 600 91 74 183 130 28 6 19 280 54 49 5 76 4 5 7 4.49 -4.6 -0.35\n74. MLB Brian Duensing MIN AL 2011 28 32 28 2667 161.7 156.3 5.3 9 14 0 711 645 102 94 193 122 44 6 21 312 52 49 3 115 1 6 7 5.23 -10.6 -1.22\n75. MLB Jaime Garcia SLN NL 2011 24 32 32 2987 194.7 194.7 0.0 13 7 0 826 759 100 77 207 150 37 5 15 299 50 48 2 156 2 5 10 3.56 26.5 2.50\n77. MLB Chris Capuano NYN NL 2011 32 33 31 2962 186.0 185.0 1.0 11 12 0 0 802 734 99 94 198 117 51 3 27 336 53 48 5 168 5 1 9 4.55 3.0 0.40\n78. MLB Tim Stauffer SDN NL 2011 29 31 31 3005 185.7 185.7 0.0 9 12 0 777 698 81 77 180 116 40 4 20 288 53 48 5 128 8 3 14 3.73 29.0 3.70\n81. MLB Tim Collins KCA AL 2011 21 68 0 1245 67.0 0.0 67.0 4 4 0 1 295 241 28 27 52 34 13 0 5 80 48 46 2 60 2 1 3 3.63 3.2 0.34\n84. MLB Tim Wakefield BOS AL 2011 44 33 23 2417 154.7 137.3 17.3 7 8 0 677 610 110 88 163 91 45 2 25 287 47 46 1 93 8 8 4 5.12 -15.2 -1.65\n85. MLB Felipe Paulino KCA AL 2011 27 21 20 2158 124.7 120.3 4.3 4 6 0 531 464 62 57 123 92 17 4 10 178 48 46 2 119 8 6 5 4.11 10.0 1.17\n86. MLB Zack Greinke MIL NL 2011 27 28 28 2841 171.7 171.7 0.0 16 6 0 715 658 82 73 161 95 41 6 19 271 45 45 0 201 4 1 6 3.83 37.1 4.13\n87. MLB Rick Porcello DET AL 2011 22 31 31 2860 182.0 182.0 0.0 14 9 0 784 720 103 96 210 150 35 7 18 313 46 45 1 104 8 5 5 4.75 3.6 0.23\n90. MLB Vance Worley PHI NL 2011 23 25 21 2166 131.7 125.0 6.7 11 3 0 0 553 490 47 44 116 73 31 2 10 181 46 44 2 119 3 5 9 3.01 19.2 2.07\n91. MLB Ted Lilly LAN NL 2011 35 33 33 3026 192.7 192.7 0.0 12 14 0 800 723 88 85 172 103 39 2 28 299 51 43 8 158 9 5 12 3.97 18.1 1.88\n92. MLB Hiroki Kuroda LAN NL 2011 36 32 32 3203 202.0 202.0 0.0 13 16 0 838 773 77 69 196 124 43 5 24 321 49 43 6 161 5 5 6 3.07 30.5 3.58\n94. MLB Casey Coleman CHN NL 2011 23 19 17 1513 84.3 83.0 1.3 3 9 0 398 340 62 60 102 64 26 2 10 162 46 43 3 75 4 2 6 6.40 -8.6 -0.88\n97. MLB Gavin Floyd CHA AL 2011 28 31 30 2996 193.7 192.7 1.0 12 13 0 798 730 97 94 180 126 27 5 22 283 45 43 2 151 11 8 4 4.37 17.1 1.76\n98. MLB Tommy Hanson ATL NL 2011 24 22 22 2167 130.0 130.0 0.0 11 7 0 540 484 55 52 106 60 26 3 17 189 46 43 3 142 3 3 4 3.60 19.6 1.94\n99. MLB Cole Hamels PHI NL 2011 27 32 31 3132 216.0 213.0 3.0 14 9 0 850 789 68 67 169 116 28 6 19 266 44 42 2 194 5 3 9 2.79 57.9 5.99\n100. MLB Mark Buehrle CHA AL 2011 32 31 31 3147 205.3 205.3 0.0 13 9 0 858 798 93 82 221 160 34 6 21 330 45 42 3 109 2 7 6 3.59 -7.7 -0.46\n102. MLB Cliff Lee PHI NL 2011 32 32 32 3403 232.7 232.7 0.0 17 8 0 920 862 66 62 197 141 35 3 18 292 42 42 0 238 6 4 6 2.40 63.3 6.69\n103. MLB Javier Vazquez FLO NL 2011 34 32 32 3005 192.7 192.7 0.0 13 11 0 798 732 91 79 178 113 38 6 21 291 50 42 8 162 2 6 8 3.69 18.4 1.88\n104. MLB Brett Cecil TOR AL 2011 24 20 20 1915 123.7 123.7 0.0 4 11 0 532 476 68 65 122 73 24 3 22 218 42 41 1 87 6 5 3 4.73 -2.4 -0.25\n105. MLB John Danks CHA AL 2011 26 27 27 2753 170.3 170.3 0.0 8 12 0 728 665 89 82 182 124 33 6 19 284 46 41 5 135 7 6 4 4.33 8.8 1.01\n106. MLB Aroldis Chapman CIN NL 2011 23 54 0 885 50.0 0.0 50.0 4 1 1 2 207 163 21 20 24 18 4 0 2 34 41 41 0 71 2 0 1 3.60 11.8 1.26\n110. MLB Kyle Lohse SLN NL 2011 32 30 30 2804 188.3 188.3 0.0 14 8 0 775 716 80 71 178 111 49 2 16 279 42 41 1 111 3 6 8 3.39 23.9 2.54\n111. MLB Madison Bumgarner SFN NL 2011 21 33 33 3202 204.7 204.7 0.0 13 13 0 844 777 82 73 202 147 40 3 12 284 46 41 5 191 5 4 12 3.21 26.1 2.51\n112. MLB Kyle Mcclellan SLN NL 2011 27 43 17 2126 141.7 104.7 37.0 12 7 0 1 607 550 71 66 143 92 29 1 21 237 43 40 3 76 6 2 6 4.19 -13.0 -1.51\n114. MLB Jon Niese NYN NL 2011 24 27 26 2493 157.3 157.0 0.3 11 11 0 694 627 88 77 178 125 35 4 14 263 44 40 4 138 5 2 16 4.40 16.4 2.21\n117. MLB Carl Pavano MIN AL 2011 35 33 33 3385 222.0 222.0 0.0 9 13 0 955 891 123 106 262 181 49 9 23 398 40 40 0 102 8 9 7 4.30 20.2 2.38\n118. MLB Jair Jurrjens ATL NL 2011 25 23 23 2288 152.0 152.0 0.0 13 6 0 627 570 52 50 142 98 25 5 14 219 44 39 5 90 4 3 6 2.96 5.0 0.83\n120. MLB Philip Humber CHA AL 2011 28 28 26 2497 163.0 161.0 2.0 9 9 0 676 622 71 68 151 109 27 1 14 222 41 39 2 116 6 5 2 3.75 21.0 2.10\n121. MLB Jason Marquis WAS NL 2011 32 20 20 1844 120.7 120.7 0.0 8 5 0 524 467 58 53 132 91 33 0 8 189 39 38 1 71 4 5 8 3.95 10.6 0.76\n122. MLB Brandon Beachy ATL NL 2011 24 25 25 2417 141.7 141.7 0.0 7 3 0 591 529 62 58 125 85 21 3 16 200 46 37 9 169 5 5 6 3.68 24.4 2.49\n123. MLB Guillermo Moscoso OAK AL 2011 27 23 21 2132 128.0 125.0 3.0 8 10 0 526 482 59 48 102 66 21 1 14 167 38 37 1 74 2 3 1 3.38 8.5 0.63\n124. MLB Carlos Carrasco CLE AL 2011 24 21 21 1964 124.7 124.7 0.0 8 9 0 536 482 68 64 130 86 27 2 15 206 40 37 3 85 4 7 3 4.62 12.9 1.24\n127. MLB Kevin Gregg BAL AL 2011 33 63 0 1190 59.7 0.0 59.7 0 3 22 7 275 228 35 29 58 40 9 2 7 92 40 36 4 53 2 1 4 4.37 -0.2 -0.02\n128. MLB Clayton Richard SDN NL 2011 27 18 18 1646 99.7 99.7 0.0 5 9 0 427 382 52 43 104 73 21 2 8 153 38 36 2 53 2 1 4 3.88 -2.6 -0.16\n130. MLB Ricky Nolasco FLO NL 2011 28 33 33 3196 206.0 206.0 0.0 10 12 0 891 828 117 107 244 169 50 5 20 364 44 36 8 148 3 5 11 4.67 13.3 1.19\n131. MLB Jeff Niemann TBA AL 2011 28 23 23 2151 135.3 135.3 0.0 11 7 0 572 524 65 61 131 81 26 6 18 223 37 36 1 105 5 4 2 4.06 22.6 2.53\n133. MLB Travis Wood CIN NL 2011 24 22 18 1789 106.0 101.0 5.0 6 6 0 463 403 57 57 118 76 28 4 10 184 40 35 5 76 4 7 9 4.84 -12.5 -1.36\n134. MLB Mike Leake CIN NL 2011 23 29 26 2552 167.7 165.7 2.0 12 9 0 693 635 74 72 159 103 30 3 23 264 38 35 3 118 8 6 3 3.86 23.4 2.66\n136. MLB Jo-jo Reyes TOR AL 2011 26 20 20 1837 110.0 110.0 0.0 5 8 0 504 457 78 66 140 95 26 5 14 218 35 35 0 64 6 3 3 5.40 -17.0 -1.98\n137. MLB Dontrelle Willis CIN NL 2011 29 13 13 1236 75.7 75.7 0.0 1 6 0 334 288 42 42 78 58 12 2 6 112 37 35 2 57 2 3 4 5.00 1.2 0.15\n141. MLB Aaron Cook COL NL 2011 32 18 17 1476 97.0 96.0 1.0 3 10 0 441 390 67 65 127 87 25 6 9 191 37 32 5 48 5 8 1 6.03 -17.5 -1.52\n143. MLB Craig Kimbrel ATL NL 2011 23 79 0 1314 77.0 0.0 77.0 4 3 46 8 306 270 19 18 48 40 4 1 3 63 32 31 1 127 1 2 1 2.10 23.6 2.52\n144. MLB Homer Bailey CIN NL 2011 25 22 22 2106 132.0 132.0 0.0 9 7 0 561 515 68 65 136 96 20 2 18 214 33 31 2 106 5 4 4 4.43 11.0 0.99\n145. MLB Rich Harden OAK AL 2011 29 15 15 1482 82.7 82.7 0.0 4 4 0 363 326 48 47 87 53 13 4 17 159 31 31 0 91 2 3 1 5.12 2.9 0.31\n146. MLB Roy Halladay PHI NL 2011 34 32 32 3466 233.7 233.7 0.0 19 6 0 933 872 65 61 208 167 27 4 10 273 35 31 4 220 4 7 15 2.35 67.1 6.96\n147. MLB Roy Oswalt PHI NL 2011 33 23 23 2159 139.0 139.0 0.0 9 10 0 594 546 60 57 153 104 37 2 10 224 33 31 2 93 5 3 7 3.69 3.9 0.48\n148. MLB Brian Wilson SFN NL 2011 29 57 0 1027 55.0 0.0 55.0 6 4 36 5 243 208 20 19 50 38 10 0 2 66 31 31 0 54 2 1 1 3.11 9.3 1.00\n150. MLB Jose Valverde DET AL 2011 33 75 0 1209 72.3 0.0 72.3 2 4 49 0 301 262 21 18 52 40 7 0 5 74 34 30 4 69 3 0 2 2.24 13.6 1.45\n152. MLB Scott Baker MIN AL 2011 29 23 21 2132 134.7 131.7 3.0 8 6 0 548 509 50 47 126 86 22 3 15 199 32 30 2 123 4 2 1 3.14 17.7 1.79\n154. MLB Doug Fister SEA AL 2011 27 21 21 2209 146.0 146.0 0.0 3 12 0 602 551 57 54 139 98 29 5 7 199 32 30 2 89 9 7 3 3.33 34.1 3.87\n155. MLB Brian Sanches FLO NL 2011 32 39 2 1087 61.7 5.3 56.3 4 1 0 1 270 229 32 27 52 28 14 3 7 93 36 30 6 53 2 2 1 3.94 -1.1 -0.16\n156. MLB Erik Bedard SEA AL 2011 32 16 16 1511 91.3 91.3 0.0 4 7 0 373 341 41 35 77 49 16 1 11 128 30 30 0 87 1 0 1 3.45 2.8 0.18\n157. MLB Matt Albers BOS AL 2011 28 56 0 1180 64.7 0.0 64.7 4 4 0 4 290 247 35 34 62 42 13 0 7 96 31 30 1 68 5 2 4 4.73 4.0 0.43\n158. MLB Brad Bergesen BAL AL 2011 25 34 12 1660 101.0 62.3 38.7 2 7 0 451 413 73 64 119 65 35 3 16 208 32 29 3 61 3 3 0 5.70 0.1 0.01\n160. MLB David Hernandez ARI NL 2011 26 74 0 1192 69.3 0.0 69.3 5 3 11 4 291 254 27 26 49 35 10 0 4 71 30 29 1 77 2 2 3 3.38 14.3 1.52\n163. MLB Jordan Zimmermann WAS NL 2011 25 26 26 2464 161.3 161.3 0.0 8 11 0 662 613 62 57 154 107 29 6 12 231 31 29 2 124 7 2 8 3.18 26.2 2.64\n164. MLB Neftali Feliz TEX AL 2011 23 64 0 1063 62.3 0.0 62.3 2 3 32 6 252 217 22 19 42 25 13 0 4 67 30 29 1 54 0 2 3 2.74 4.3 0.46\n165. MLB Mike Dunn FLO NL 2011 26 72 0 1135 63.0 0.0 63.0 5 6 0 5 267 228 28 24 51 29 12 1 9 92 31 29 2 68 2 2 4 3.43 3.1 0.29\n166. MLB Aaron Crow KCA AL 2011 24 57 0 1021 62.0 0.0 62.0 4 4 0 7 266 232 20 19 55 38 8 1 8 89 31 29 2 65 0 0 3 2.76 9.0 0.96\n167. MLB David Robertson NYA AL 2011 26 70 0 1213 66.7 0.0 66.7 4 0 1 4 272 235 9 8 40 30 8 1 1 53 35 29 6 100 1 0 1 1.08 21.4 2.28\n168. MLB Clay Hensley FLO NL 2011 31 37 9 1090 67.7 42.0 25.7 6 7 0 2 297 260 41 39 62 39 13 1 9 104 30 29 1 46 4 1 2 5.19 -9.0 -0.99\n170. MLB Rubby De La Rosa LAN NL 2011 22 13 10 1032 60.7 55.7 5.0 4 5 0 1 254 221 26 25 54 36 11 1 6 85 31 28 3 60 0 0 2 3.71 11.1 1.30\n172. MLB Daniel Mccutchen PIT NL 2011 28 73 0 1319 84.7 0.0 84.7 5 3 0 2 364 320 38 35 87 62 17 1 7 127 33 28 5 47 4 3 4 3.72 -1.7 -0.38\n173. MLB Jeff Karstens PIT NL 2011 28 30 26 2357 162.3 154.7 7.7 9 9 0 668 620 69 61 163 110 31 0 22 260 33 27 6 96 4 5 6 3.38 12.9 1.13\n174. MLB Ubaldo Jimenez CLE AL 2011 27 11 11 1167 65.3 65.3 0.0 4 4 0 290 261 43 37 68 38 18 5 7 117 27 27 0 62 2 0 0 5.10 4.1 0.43\n176. MLB Marco Estrada MIL NL 2011 27 43 7 1549 92.7 41.3 51.3 4 8 0 3 381 342 45 42 83 55 15 2 11 135 29 27 2 88 2 1 7 4.08 11.9 1.16\n177. MLB Wade Leblanc SDN NL 2011 26 14 14 1323 79.7 79.7 0.0 5 6 0 339 304 42 41 84 54 23 0 7 128 28 27 1 51 1 3 3 4.63 -4.0 -0.38\n178. MLB Rodrigo Lopez CHN NL 2011 35 26 16 1556 97.7 88.0 9.7 6 6 0 431 388 56 48 116 70 27 1 18 199 29 26 3 54 5 2 6 4.42 -17.0 -1.82\n179. MLB Jesse Litsch TOR AL 2011 26 28 8 1272 75.0 46.3 28.7 6 3 1 1 317 282 40 37 69 40 17 2 10 120 28 26 2 66 3 2 2 4.44 6.5 0.69\n180. MLB Kenley Jansen LAN NL 2011 23 51 0 982 53.7 0.0 53.7 2 1 5 1 218 189 17 17 30 23 4 0 3 43 26 26 0 96 2 1 0 2.85 15.6 1.66\n181. MLB Jose Arredondo CIN NL 2011 27 53 0 929 53.0 0.0 53.0 4 4 0 1 226 190 21 19 43 27 8 3 5 72 31 26 5 48 2 0 3 3.23 -1.1 -0.25\n182. MLB Mitch Talbot CLE AL 2011 27 12 12 1114 63.7 63.7 0.0 2 6 0 299 262 47 47 90 64 14 2 10 138 28 26 2 36 3 5 1 6.64 -12.4 -1.42\n183. MLB Guillermo Mota SFN NL 2011 37 52 0 1322 80.3 0.0 80.3 2 2 1 2 333 296 34 34 71 49 10 2 10 115 30 26 4 77 2 2 3 3.81 5.7 0.58\n185. MLB Chris Jakubauskas BAL AL 2011 32 33 6 1299 72.3 27.3 45.0 2 2 0 1 331 294 46 46 93 60 21 1 11 149 29 26 3 52 3 4 1 5.72 -9.0 -0.95\n186. MLB Luis Perez TOR AL 2011 26 37 4 1099 65.0 18.7 46.3 3 3 0 2 294 258 40 37 74 48 16 1 9 119 27 26 1 54 5 3 1 5.12 -5.5 -0.59\n187. MLB Jesse Crain CHA AL 2011 29 67 0 1146 65.3 0.0 65.3 8 3 1 6 268 233 20 19 50 33 9 1 7 82 31 26 5 70 0 3 1 2.62 7.2 0.76\n188. MLB Josh Collmenter ARI NL 2011 25 31 24 2436 154.3 140.3 14.0 10 10 0 621 577 61 58 137 93 26 1 17 216 28 26 2 100 5 2 9 3.38 19.3 1.84\n189. MLB Antonio Bastardo PHI NL 2011 25 64 0 965 58.0 0.0 58.0 6 1 8 3 225 195 17 17 28 15 5 2 6 55 26 26 0 70 0 2 2 2.64 8.6 0.92\n190. MLB Mike Macdougal LAN NL 2011 34 69 0 933 57.0 0.0 57.0 3 1 1 1 247 210 16 13 54 43 8 0 3 71 29 26 3 41 3 2 3 2.05 0.9 0.10\n191. MLB Blake Wood KCA AL 2011 25 55 0 1201 69.7 0.0 69.7 5 3 1 3 303 260 30 29 66 46 13 2 5 98 32 25 7 62 3 3 5 3.75 8.7 0.79\n192. MLB Fernando Rodriguez HOU NL 2011 27 47 0 962 52.3 0.0 52.3 2 3 0 1 231 193 24 23 51 36 8 1 6 79 30 25 5 57 3 0 5 3.96 5.2 0.73\n193. MLB Chris Tillman BAL AL 2011 23 13 13 1167 62.0 62.0 0.0 3 5 0 287 256 41 38 77 51 21 0 5 113 25 25 0 46 4 1 1 5.52 -4.2 -0.45\n194. MLB Kyle Kendrick PHI NL 2011 26 34 15 1734 114.7 77.0 37.7 8 6 0 1 479 432 50 41 110 68 26 2 14 182 30 25 5 59 7 3 6 3.22 4.1 0.37\n195. MLB Anthony Swarzak MIN AL 2011 25 27 11 1680 102.0 63.7 38.3 4 7 0 441 404 53 49 111 81 19 2 9 161 26 25 1 55 6 3 2 4.32 -1.1 -0.11\n196. MLB Mike Minor ATL NL 2011 23 15 15 1377 82.7 82.7 0.0 5 3 0 361 326 39 38 93 59 25 2 7 143 30 25 5 77 1 1 3 4.14 7.5 0.89\n197. MLB Nick Masset CIN NL 2011 29 75 0 1132 70.3 0.0 70.3 3 6 1 6 313 278 30 29 76 56 15 0 5 106 31 25 6 62 1 1 2 3.71 0.4 0.04\n198. MLB Sean O'sullivan KCA AL 2011 23 12 10 949 58.3 54.3 4.0 2 6 0 1 273 238 52 47 78 51 14 3 10 128 26 25 1 19 2 4 3 7.25 -13.3 -1.42\n199. MLB Phil Hughes NYA AL 2011 25 17 14 1292 74.7 71.7 3.0 5 5 0 334 297 48 48 84 55 17 3 9 134 27 25 2 47 4 3 3 5.79 -3.8 -0.40\n200. MLB Jordan Lyles HOU NL 2011 20 20 15 1573 94.0 89.7 4.3 2 8 0 1 415 376 61 56 107 67 21 5 14 180 26 25 1 67 5 1 7 5.36 -4.7 -0.40\n201. MLB John Axford MIL NL 2011 28 74 0 1240 73.7 0.0 73.7 2 2 46 2 305 278 19 16 59 50 3 2 4 78 25 24 1 86 0 1 1 1.95 14.5 1.55\n202. MLB Pedro Beato NYN NL 2011 24 60 0 1025 67.0 0.0 67.0 2 1 0 4 283 246 41 32 59 33 18 3 5 98 27 24 3 39 4 4 2 4.30 2.4 0.25\n203. MLB Sergio Santos CHA AL 2011 27 63 0 993 63.3 0.0 63.3 4 5 30 6 260 226 25 25 41 25 8 2 6 71 29 24 5 92 3 1 1 3.55 17.3 1.84\n204. MLB Santiago Casilla SFN NL 2011 30 49 0 852 51.7 0.0 51.7 2 2 6 1 211 180 11 10 33 25 6 1 1 44 25 24 1 45 2 0 4 1.74 9.2 0.93\n206. MLB Kyle Davies KCA AL 2011 27 13 13 1179 61.3 61.3 0.0 1 9 0 293 253 52 46 84 53 22 2 7 131 26 24 2 50 5 6 3 6.75 -3.9 -0.38\n207. MLB Brett Anderson OAK AL 2011 23 13 13 1351 83.3 83.3 0.0 3 6 0 356 319 40 37 86 66 11 1 8 123 25 24 1 61 7 1 4 4.00 10.7 1.18\n208. MLB Tyler Clippard WAS NL 2011 26 72 0 1356 88.3 0.0 88.3 3 0 0 7 329 296 18 18 48 28 8 1 11 91 26 24 2 104 0 3 4 1.83 20.2 2.17\n209. MLB Brandon Mccarthy OAK AL 2011 27 25 25 2499 170.7 170.7 0.0 9 9 0 690 652 73 63 168 116 37 4 11 246 25 24 1 123 0 9 4 3.32 28.9 3.08\n210. MLB Chris Sale CHA AL 2011 22 58 0 1105 71.0 0.0 71.0 2 2 8 3 288 256 22 22 52 32 14 0 6 84 27 24 3 79 2 0 3 2.79 11.3 1.20\n211. MLB Micah Owings ARI NL 2011 28 33 4 1040 63.0 20.3 42.7 8 0 0 0 263 233 27 25 56 30 15 3 8 101 23 23 0 44 2 1 4 3.57 -1.6 -0.13\n213. MLB Barry Zito SFN NL 2011 33 13 9 866 53.7 49.7 4.0 3 4 0 225 199 35 35 51 28 11 2 10 96 24 23 1 32 0 2 0 5.87 -9.9 -1.03\n215. MLB Nathan Adcock KCA AL 2011 23 24 3 961 60.3 13.0 47.3 1 1 1 1 265 232 34 31 63 41 16 1 5 96 26 23 3 36 3 1 3 4.62 1.4 0.15\n216. MLB Chad Durbin CLE AL 2011 33 56 0 1225 68.3 0.0 68.3 2 2 0 2 318 281 45 42 86 54 19 1 12 143 26 23 3 59 3 7 1 5.53 -1.7 -0.18\n217. MLB Jordan Walden ANA AL 2011 23 62 0 1089 60.3 0.0 60.3 5 5 32 10 253 220 22 20 49 31 14 1 3 74 26 23 3 67 1 2 4 2.98 12.1 1.29\n218. MLB Henry Sosa HOU NL 2011 25 10 10 874 53.3 53.3 0.0 3 5 0 231 199 31 31 54 29 18 0 7 93 23 22 1 38 3 2 4 5.23 -1.2 -0.02\n219. MLB Francisco Cordero CIN NL 2011 36 68 0 1080 69.7 0.0 69.7 5 3 37 6 274 247 20 19 49 32 10 1 6 79 22 22 0 42 3 1 1 2.45 10.1 1.08\n220. MLB Chris Perez CLE AL 2011 25 64 0 985 59.7 0.0 59.7 4 7 36 4 248 214 24 22 46 30 10 1 5 73 26 22 4 39 3 1 4 3.32 2.6 0.28\n221. MLB Jorge De La Rosa COL NL 2011 30 10 10 953 59.0 59.0 0.0 5 2 0 245 216 25 23 48 33 11 0 4 71 22 22 0 52 2 1 4 3.51 6.7 0.69\n222. MLB Clayton Mortensen COL NL 2011 26 16 6 875 58.3 34.7 23.7 2 4 0 244 214 30 25 55 32 14 0 9 96 24 22 2 30 2 0 4 3.86 -3.5 -0.45\n223. MLB Ramon Ramirez SFN NL 2011 29 66 0 1114 68.7 0.0 68.7 3 3 4 1 282 250 24 20 54 40 10 1 3 75 26 21 5 66 3 1 2 2.62 11.8 1.19\n224. MLB Logan Ondrusek CIN NL 2011 26 66 0 985 61.3 0.0 61.3 5 5 0 3 268 231 25 22 55 41 7 1 6 82 28 21 7 41 2 4 3 3.23 4.0 0.43\n225. MLB Jeremy Affeldt SFN NL 2011 32 67 0 976 61.7 0.0 61.7 3 2 3 6 259 227 22 18 47 30 11 1 5 75 24 21 3 54 4 0 4 2.63 10.1 1.12\n226. MLB Vinnie Pestano CLE AL 2011 26 67 0 993 62.0 0.0 62.0 1 2 2 4 250 223 16 16 41 28 4 4 5 68 24 21 3 84 3 0 0 2.32 15.7 1.67\n227. MLB Daniel Bard BOS AL 2011 26 70 0 1096 73.0 0.0 73.0 2 9 1 5 288 257 29 27 46 30 8 3 5 75 24 21 3 74 2 0 5 3.33 20.1 2.14\n228. MLB Edwin Jackson SLN NL 2011 27 13 12 1234 78.0 77.0 1.0 5 2 0 339 303 37 31 91 58 23 2 8 142 23 21 2 51 2 2 9 3.58 8.2 0.73\n229. MLB Chris Resop PIT NL 2011 28 76 0 1271 69.7 0.0 69.7 5 4 1 7 309 271 34 34 73 50 15 0 8 112 30 21 9 79 3 5 0 4.39 7.2 0.76\n230. MLB Tony Sipp CLE AL 2011 27 69 0 1025 62.3 0.0 62.3 6 3 0 1 251 224 22 21 45 23 12 0 10 87 24 21 3 57 0 2 1 3.03 -0.1 -0.01\n231. MLB Craig Breslow OAK AL 2011 30 67 0 1026 59.3 0.0 59.3 0 2 0 3 261 233 29 25 69 50 14 1 4 97 21 20 1 44 2 2 3 3.79 -3.8 -0.40\n232. MLB Mark Melancon HOU NL 2011 26 71 0 1121 74.3 0.0 74.3 8 4 20 5 309 278 28 23 65 49 11 0 5 91 26 20 6 66 2 0 2 2.78 18.4 1.84\n233. MLB Rich Thompson ANA AL 2011 26 44 0 919 54.0 0.0 54.0 1 3 0 1 228 205 18 18 46 32 8 1 5 71 20 20 0 56 0 2 1 3.00 5.0 0.54\n234. MLB Jake Peavy CHA AL 2011 30 19 18 1856 111.7 107.7 4.0 7 7 0 1 470 437 61 61 117 85 19 3 10 172 24 20 4 95 3 5 1 4.92 8.0 0.60\n235. MLB Matt Guerrier LAN NL 2011 32 70 0 1019 66.3 0.0 66.3 4 3 1 4 282 253 31 30 59 44 9 2 4 84 25 20 5 50 0 1 3 4.07 6.0 0.61\n237. MLB Joe Smith CLE AL 2011 27 71 0 1003 67.0 0.0 67.0 3 3 0 4 267 240 16 15 52 44 7 0 1 62 21 20 1 45 2 2 2 2.01 15.2 1.62\n238. MLB Alex Cobb TBA AL 2011 23 9 9 842 52.7 52.7 0.0 3 2 0 224 201 21 20 49 36 10 0 3 68 21 20 1 37 1 1 0 3.42 10.0 1.07\n239. MLB Louis Coleman KCA AL 2011 25 48 0 1005 59.7 0.0 59.7 1 4 1 1 244 213 20 19 44 24 11 0 9 82 26 20 6 64 3 1 1 2.87 10.0 1.03\n242. MLB Javier Lopez SFN NL 2011 33 70 0 814 53.0 0.0 53.0 5 2 1 7 222 190 16 16 42 32 9 1 0 53 26 20 6 40 3 0 3 2.72 7.1 1.09\n243. MLB Heath Bell SDN NL 2011 33 64 0 1099 62.7 0.0 62.7 3 4 43 5 256 229 20 17 51 41 6 0 4 69 21 19 2 51 0 1 5 2.44 12.0 1.28\n244. MLB Rafael Perez CLE AL 2011 29 71 0 903 63.0 0.0 63.0 5 2 0 3 257 233 27 21 59 43 13 1 2 80 19 19 0 33 0 2 3 3.00 1.6 0.17\n246. MLB Grant Balfour OAK AL 2011 33 62 0 1022 62.0 0.0 62.0 5 2 2 5 242 221 17 17 44 29 7 0 8 75 20 19 1 59 0 0 1 2.47 8.9 0.94\n249. MLB Juan Oviedo FLO NL 2011 29 68 0 1039 64.3 0.0 64.3 1 4 36 6 269 243 30 29 57 36 11 2 8 96 21 19 2 55 1 2 1 4.06 7.0 0.78\n251. MLB Ross Detwiler WAS NL 2011 25 15 10 982 66.0 56.0 10.0 4 5 0 0 277 244 26 22 63 46 10 0 7 94 20 18 2 41 3 3 7 3.00 1.0 -0.00\n253. MLB Hector Noesi NYA AL 2011 24 30 2 956 56.3 4.7 51.7 2 2 0 0 247 220 29 28 63 43 14 0 6 95 22 18 4 45 2 2 1 4.47 3.7 0.40\n254. MLB Sam Lecure CIN NL 2011 27 43 4 1204 77.7 20.7 57.0 2 1 0 1 307 278 33 32 57 33 11 3 10 104 21 18 3 73 4 0 4 3.71 10.8 1.28\n255. MLB Jim Johnson BAL AL 2011 28 69 0 1262 91.0 0.0 91.0 6 5 9 5 366 336 30 27 80 58 14 3 5 115 21 18 3 58 2 2 4 2.67 17.5 1.86\n256. MLB Josh Johnson FLO NL 2011 27 9 9 941 60.3 60.3 0.0 3 1 0 234 211 13 11 39 29 8 0 2 53 20 18 2 56 1 1 1 1.64 15.2 1.63\n257. MLB David Herndon PHI NL 2011 25 45 0 897 57.0 0.0 57.0 1 4 1 2 243 209 26 21 54 37 6 2 9 91 24 17 7 39 2 1 7 3.32 1.3 0.18\n258. MLB Hisanori Takahashi ANA AL 2011 36 61 0 1097 68.0 0.0 68.0 4 3 2 3 281 250 30 26 58 39 12 0 7 91 25 17 8 52 0 3 3 3.44 7.9 0.84\n259. MLB Sean Burnett WAS NL 2011 28 69 0 938 56.7 0.0 56.7 5 5 4 8 242 213 24 24 54 41 6 1 6 80 21 17 4 33 3 2 3 3.81 3.0 0.49\n260. MLB Joakim Soria KCA AL 2011 27 60 0 1040 60.3 0.0 60.3 5 5 28 7 256 232 29 27 60 43 9 1 7 92 17 17 0 60 2 2 3 4.03 7.1 0.76\n261. MLB Luis Ayala NYA AL 2011 33 52 0 864 56.0 0.0 56.0 2 2 0 1 233 199 17 13 51 38 8 0 5 74 20 17 3 39 6 4 4 2.09 -0.1 -0.01\n262. MLB Cristhian Martinez ATL NL 2011 29 46 0 1105 77.7 0.0 77.7 1 3 0 0 308 284 30 29 56 35 12 1 8 94 19 17 2 58 3 0 2 3.36 9.3 1.01\n263. MLB Todd Coffey WAS NL 2011 30 69 0 973 59.7 0.0 59.7 5 1 0 4 254 225 25 24 55 39 12 0 4 79 20 17 3 46 1 3 5 3.62 5.8 0.62\n264. MLB Drew Storen WAS NL 2011 23 73 0 1100 75.3 0.0 75.3 6 3 43 5 303 279 24 23 57 37 11 1 8 94 20 16 4 74 2 1 1 2.75 15.8 1.68\n265. MLB Greg Holland KCA AL 2011 25 46 0 946 60.0 0.0 60.0 5 1 4 3 233 211 13 12 37 24 8 2 3 58 19 16 3 74 1 1 1 1.80 16.2 1.73\n266. MLB Joaquin Benoit DET AL 2011 33 66 0 1008 61.0 0.0 61.0 4 3 2 5 241 216 22 20 47 38 4 0 5 66 17 16 1 63 2 5 1 2.95 11.9 1.27\n268. MLB Glen Perkins MIN AL 2011 28 65 0 908 61.7 0.0 61.7 4 4 2 5 253 225 19 17 55 39 14 0 2 75 21 16 5 65 1 1 5 2.48 10.7 1.14\n269. MLB Frank Francisco TOR AL 2011 31 54 0 875 50.7 0.0 50.7 1 4 17 4 218 199 21 20 49 30 12 0 7 82 18 16 2 53 0 0 1 3.55 5.5 0.59\n270. MLB David Huff CLE AL 2011 26 11 10 919 50.7 50.7 0.0 2 6 0 227 207 35 23 55 32 16 1 6 91 17 16 1 36 0 3 0 4.09 -2.9 -0.30\n272. MLB Wilton Lopez HOU NL 2011 27 73 0 1100 71.0 0.0 71.0 2 6 0 6 298 273 26 22 72 55 11 0 6 101 18 15 3 56 3 0 4 2.79 6.7 0.72\n273. MLB Juan Nicasio COL NL 2011 24 13 13 1160 71.7 71.7 0.0 4 4 0 299 279 35 33 73 45 18 2 8 119 18 15 3 58 1 0 1 4.14 9.5 1.18\n274. MLB Brian Fuentes OAK AL 2011 35 67 0 983 58.3 0.0 58.3 2 8 12 3 250 219 30 24 52 41 4 1 6 76 20 15 5 42 4 3 4 3.70 1.4 0.14\n275. MLB Chad Qualls SDN NL 2011 32 77 0 1095 74.3 0.0 74.3 6 8 0 6 306 278 30 29 73 56 9 1 7 105 20 15 5 43 0 1 7 3.51 8.3 0.89\n277. MLB Frank Herrmann CLE AL 2011 27 40 0 1002 56.3 0.0 56.3 4 0 0 1 253 235 35 32 71 48 15 1 7 109 16 15 1 34 0 0 2 5.11 -7.6 -0.89\n278. MLB Scott Linebrink ATL NL 2011 34 64 0 936 54.3 0.0 54.3 4 4 1 2 237 206 22 22 58 41 9 2 6 89 21 15 6 42 4 4 2 3.64 1.0 0.11\n280. MLB Ryan Webb FLO NL 2011 25 53 0 762 50.7 0.0 50.7 2 4 0 4 214 188 20 18 48 34 10 2 2 68 20 15 5 31 2 1 3 3.20 9.1 0.97\n281. MLB Blake Beavan SEA AL 2011 22 15 15 1478 97.0 97.0 0.0 5 6 0 405 381 46 46 106 65 26 2 13 175 15 15 0 42 3 5 1 4.27 2.8 0.30\n282. MLB Blake Hawksworth LAN NL 2011 28 49 0 877 53.0 0.0 53.0 2 5 0 1 219 200 29 24 45 30 8 1 6 73 17 14 3 43 0 0 2 4.08 7.1 0.80\n283. MLB Jeanmar Gomez CLE AL 2011 23 11 10 953 58.3 55.3 3.0 5 3 0 0 259 241 31 29 73 48 18 1 6 111 15 14 1 31 1 2 0 4.47 -0.2 -0.02\n284. MLB Kameron Loe MIL NL 2011 29 72 0 1057 72.0 0.0 72.0 4 7 1 7 291 271 30 28 65 44 16 1 4 95 16 14 2 61 2 0 2 3.50 16.8 1.67\n285. MLB Jason Motte SLN NL 2011 29 78 0 1123 68.0 0.0 68.0 5 2 9 4 268 243 22 17 49 32 13 2 2 72 16 14 2 63 5 3 1 2.25 16.0 1.90\n286. MLB Joel Hanrahan PIT NL 2011 29 70 0 1028 68.7 0.0 68.7 1 4 40 4 274 254 17 14 56 44 11 0 1 70 16 14 2 61 1 2 1 1.83 17.8 1.89\n287. MLB Chien-ming Wang WAS NL 2011 31 11 11 897 62.3 62.3 0.0 4 3 0 264 246 35 28 67 51 8 0 8 99 13 13 0 25 1 2 2 4.04 -1.6 -0.24\n288. MLB Sean Marshall CHN NL 2011 28 78 0 1188 75.7 0.0 75.7 6 6 5 5 307 282 21 19 66 54 11 0 1 80 17 13 4 79 2 0 6 2.26 15.2 1.62\n289. MLB Casey Janssen TOR AL 2011 29 55 0 877 55.7 0.0 55.7 6 0 2 2 223 206 14 14 47 34 11 0 2 64 14 13 1 53 2 0 1 2.26 9.7 1.04\n290. MLB Shawn Camp TOR AL 2011 35 67 0 996 66.3 0.0 66.3 6 3 1 3 292 261 36 31 79 49 24 3 3 118 22 13 9 32 6 1 2 4.21 1.4 0.14\n292. MLB Eric O'flaherty ATL NL 2011 26 78 0 1144 73.7 0.0 73.7 2 4 0 4 301 267 9 8 59 46 10 1 2 77 21 13 8 67 3 2 7 0.98 16.7 1.77\n293. MLB Jon Rauch TOR AL 2011 32 53 0 891 52.0 0.0 52.0 5 4 11 5 225 208 28 28 56 34 11 0 11 100 14 13 1 36 1 0 2 4.85 -6.0 -0.64\n294. MLB David Pauley SEA AL 2011 28 39 0 721 54.3 0.0 54.3 5 4 0 1 213 190 13 13 38 29 6 1 2 52 16 12 4 34 4 1 2 2.15 6.6 0.70\n296. MLB J.j. Putz ARI NL 2011 34 60 0 843 58.0 0.0 58.0 2 2 45 4 229 210 15 14 41 24 11 2 4 68 12 12 0 61 2 3 2 2.17 12.4 1.32\n298. MLB Scott Downs ANA AL 2011 35 60 0 801 53.7 0.0 53.7 6 3 1 3 218 196 11 8 39 29 6 1 3 56 15 12 3 35 0 2 5 1.34 9.9 1.05\n300. MLB Matt Capps MIN AL 2011 27 69 0 923 65.7 0.0 65.7 4 7 15 9 274 252 31 31 66 47 8 1 10 106 13 12 1 34 4 3 2 4.25 -6.6 -0.70\n301. MLB Kyle Farnsworth TBA AL 2011 35 63 0 861 57.7 0.0 57.7 5 1 25 6 231 213 15 14 45 27 12 1 5 74 12 11 1 51 3 2 1 2.18 8.8 0.94\n302. MLB Matt Belisle COL NL 2011 31 74 0 1183 72.0 0.0 72.0 10 4 0 7 301 279 33 26 77 54 16 2 5 112 14 11 3 58 4 0 4 3.25 9.2 1.01\n304. MLB James Russell CHN NL 2011 25 64 5 1103 67.7 18.3 49.3 1 6 0 3 292 266 37 31 76 46 17 1 12 131 14 10 4 43 2 6 4 4.12 -6.5 -0.83\n306. MLB Edward Mujica FLO NL 2011 27 67 0 1120 76.0 0.0 76.0 9 6 0 5 297 275 27 25 64 44 11 2 7 100 14 9 5 63 2 1 5 2.96 12.8 1.63\n307. MLB Jonathan Papelbon BOS AL 2011 30 63 0 1001 64.3 0.0 64.3 4 1 31 3 255 241 22 21 50 35 11 1 3 72 10 9 1 87 3 1 0 2.94 20.2 2.15\n308. MLB Tommy Hunter BAL AL 2011 24 12 11 1078 69.3 68.3 1.0 3 3 0 0 305 289 44 39 88 58 18 1 11 141 10 9 1 35 4 1 1 5.06 -6.4 -0.68\n309. MLB Henderson Alvarez TOR AL 2011 21 10 10 977 63.7 63.7 0.0 1 3 0 259 244 26 25 64 43 11 2 8 103 8 8 0 40 4 2 1 3.53 9.1 0.97\n310. MLB Brandon League SEA AL 2011 28 65 0 904 61.3 0.0 61.3 1 5 37 5 250 234 25 19 56 42 11 0 3 76 10 8 2 45 2 0 4 2.79 13.5 1.44\n311. MLB Kevin Millwood COL NL 2011 36 9 9 835 54.3 54.3 0.0 4 3 0 222 212 26 24 58 41 6 2 9 95 8 8 0 36 0 0 2 3.98 0.1 -0.07\n312. MLB Ryan Madson PHI NL 2011 30 62 0 967 60.7 0.0 60.7 4 2 32 2 246 222 16 16 54 46 6 0 2 66 16 8 8 62 1 1 6 2.37 14.5 1.54\n313. MLB Huston Street COL NL 2011 27 62 0 923 58.3 0.0 58.3 1 4 29 4 239 225 28 25 62 40 9 3 10 107 9 8 1 55 1 1 3 3.86 4.3 0.61\n315. MLB Mariano Rivera NYA AL 2011 41 64 0 915 61.3 0.0 61.3 1 2 44 5 233 219 13 13 47 37 7 0 3 63 8 6 2 60 2 2 2 1.91 17.2 1.83\n316. MLB Kevin Slowey MIN AL 2011 27 14 8 914 59.3 44.7 14.7 0 8 0 258 243 44 44 78 49 17 2 10 129 5 5 0 34 3 4 3 6.67 -6.6 -0.70


2,711 games found • Permalink\n1. e4 b6 2. Nf3 Bb7 3. d3 g6 ... 33 moves\n1. b3 d5 2. Bb2 Nf6 3. Nf3 c6 ... 61 moves\n1. e4 b6 2. Nf3 Bb7 3. Nc3 g6 ... 43 moves\n1.5+0 • Bullet • Rated • Room Kakap Bergoyang Arena\n1. c4 c6 2. g3 Qa5 3. Bg2 Qxa2 ... 9 moves\n1. e4 c6 2. d4 Qa5+ 3. Nc3 Qxa2 ... 13 moves\n1. e3 e6 2. Qf3 d6 3. Qxf7+ Kxf7 ... 11 moves\n1. e3 d5 2. Qh5 Nf6 3. Qxf7+ Kxf7 ... 8 moves\n1. b3 b6 2. Bb2 Bb7 3. Nf3 Nf6 ... 40 moves\n1. b3 e6 2. Bb2 d5 3. Nf3 c5 ... 58 moves\n1. b3 b6 2. Bb2 Bb7 3. Nf3 Nf6 ... 61 moves\n1. e3 b6 2. Bc4 e6 3. Qh5 Nf6 ... 40 moves