Unaware of her husband fucking a married nurseRuntime: 2 min 20 secViews: 13,785married coupleRuntime: 16 min 41 secViews: 6,789married showing it all offRuntime: 7 min 42 secViews: 70 A married woman confessionRuntime: 2 min 34 secViews: 4,591 Cheating married woman loves to fuck!Runtime: 3 min 32 secViews: 7,712 Married Korean Wife Series - Ep.3Runtime: 24 secViews: 279Newly married bhabhi selfshot teaser for my big cockRuntime: 1 min 24 secViews: 2,570Married cheater gets a big loadRuntime: 19 secViews: 68OOP's nice married cheating wife and I then it happensRuntime: 29 secViews: 137 Hot Little Married ThingRuntime: 7 min 29 secViews: 6,177 Barebacking a married FWBRuntime: 32 secViews: 55 fun being married to this oneRuntime: 5 min 11 secViews: 853Rule Breaker: Second Cuckold Video - Married Man & My WifeRuntime: 50 secViews: 20,547Married Woman Lesbian BondageRuntime: 1 hour 37 min Views: 2,053Ass fucked married russian slutRuntime: 8 min 20 secViews: 3,554Married Wife Cheating With Big CockRuntime: 56 secViews: 829old married coupleRuntime: 7 min 19 secViews: 3,214Fucking blonde married pussyRuntime: 14 min 12 secViews: 5,104 Married Pinay fucking her favorite COckRuntime: 1 min 52 secViews: 606sensual orgasm of married wifeRuntime: 9 min Views: 7,606married women standing fack in hotelRuntime: 9 min 6 secViews: 5,986Black married wifeRuntime: 4 min 9 secViews: 1,609My Married Friend of my Wife Gets the BlowjobRuntime: 12 min 57 secViews: 15,423 covert upskirtt..married spreads her legs at panera 3Runtime: 4 min 27 secViews: 2,626 covert upskirtt..married spreads her legs at panera 2Runtime: 44 secViews: 494 covert upskirtt..married spreads her legs at panera 1Runtime: 1 min 1 secViews: 3,867Married wife sucking cock - Gift kvinde sutter pikRuntime: 1 min 44 secViews: 244Married girl sucks BBC in Empty HouseRuntime: 2 min 5 secViews: 6,474 Married Allison Gets FuckedRuntime: 8 min 8 secViews: 10,09822 Newly Married bhabi Honeymoon sex tapeRuntime: 37 min 28 secViews: 8,367Married afghan Wife 2Runtime: 11 secViews: 73Milf Married Slut Anal FuckedRuntime: 1 min 23 secViews: 8,620Milf married coworker from DenmarkRuntime: 15 secViews: 156married women fucking her ex bfRuntime: 40 min 53 secViews: 35,383Amatuer married slut stuffs her pussy close upRuntime: 42 secViews: 25indian amateur newly married leaked MMS- hotcamgirls.inRuntime: 5 min 28 secViews: 31,690Newly Married Couple Honeymoon Video LeakedRuntime: 1 min 33 secViews: 1,588Married Wife Enjoying with other manRuntime: 6 min 38 secViews: 24,081Newly Married Shyna sex VideoRuntime: 1 min 11 secViews: 1,274married MILF gets it on her backRuntime: 5 min 10 secViews: 4,731Married Bbw stops by for more Fun!!!!Runtime: 4 min 11 secViews: 1,085newly married sucking cockRuntime: 1 min 41 secViews: 5,814the 45 year old married milf loves a good satisfactionRuntime: 2 min 56 secViews: 1,423 Married Slut Fisted at GangbangRuntime: 5 min 39 secViews: 17,443Older Married Cpl from Hull Webcam play.Runtime: 8 min 41 secViews: 17,142Married Russian girl loves to suckRuntime: 7 min 37 secViews: 2,474Married Mature Woman Flashes Her Enormous Tits on WebcamRuntime: 6 min 41 secViews: 5,066recently married wifes nude video for her husbandRuntime: 3 min 20 secViews: 3,725 Married Slut sucking BBCRuntime: 1 min 46 secViews: 659 Married & sucks HusbandRuntime: 12 min 9 secViews: 7,773Brothers married girlfriendRuntime: 19 min 8 secViews: 7,764quick fun with a married friendRuntime: 54 secViews: 613Married couple having a quckieRuntime: 6 min 7 secViews: 4,738Married Greek Mum Part2Runtime: 8 secViews: 536Married Greek Mum Part1Runtime: 8 secViews: 475My Married MilfRuntime: 27 secViews: 44Drilling a married pussyRuntime: 2 min 42 secViews: 4,479Check My MILF doing the dirty Slut wife I marriedRuntime: 15 min 2 secViews: 3,921Amatuer Married BBW double stuffing herselfRuntime: 14 secViews: 26Married Co worker big booty rideRuntime: 31 secViews: 62Best dildo anal Greek married wife #1Runtime: 3 min 11 secViews: 1,169marriedRuntime: 6 min 49 secViews: 3,915Married BBW working on large dildo and vibeRuntime: 14 secViews: 9Married cheating wife playing with toy and her clitRuntime: 11 secViews: 18 MARRIED EXECUTIVE WIFE WITH SILKY BARE LEGS - OriginalRuntime: 3 min 24 secViews: 1,847Dirty married slut Hannah fucked in my officeRuntime: 31 secViews: 179A married couple brings home a hot teen girlRuntime: 17 min 58 secViews: 12,258Newly Married Couple Honeymoon Sex Part 1Runtime: 2 min 34 secViews: 2,172Fat boss fuck his young married secretary in hotelRuntime: 15 min 20 secViews: 27,640Shooting a huge load deep into my married friendRuntime: 1 min 40 secViews: 2,094Married chubby woman show me her pussy onRuntime: 4 min 47 secViews: 11,667Married Milf cheater toyRuntime: 1 min 19 secViews: 2,712Juicy Memphis married pussyRuntime: 2 secViews: 612 Married Pussy Feels So GoodRuntime: 12 min 56 secViews: 30,512Married Slut blindfolded sucks Black Cock.Runtime: 1 min 11 secViews: 12,259married bbw bjRuntime: 2 min Views: 2,796Same. Isn't, same date bare fucking my married pussyRuntime: 29 secViews: 494Newly married bhabhi poonam to her old lover jasbir- WowmoyRuntime: 11 min 47 secViews: 3,928Married Wife Fuck Husband Black BossRuntime: 5 min 14 secViews: 4,851Married Wife Takes Black DickRuntime: 43 secViews: 0


Add:I. greediness for food, gluttony Gífernes gastri-margia , Wrt. Voc. ii. 40, 16. Gýfernes vel oferfil, i. 27, 21. 1. of persons Syndon eahta heáfodleahtras . . . Án is gecwæden gula , ꝥ is gýfernyss on Englisc ; seó déð ꝥ man yt ǽr tíman and drincð, oððe hé tó micel nimð on ǽte oððe on wǽte, Hml, S. 16, 268. Suá oft suá wé úre hand dóð tó úrum múðe for giéfernesse ofergemet per immoderatum usum dum manus ad cibum tenditur , Past. 313, 14. Tantalus ðe on þisse worulde ungemetlíce gífre wæs, and him þǽr (in hell) ꝥ ilce yfel fyligde þæs gífernesse, Bt. 35, 6; F. 170, l. 'On giéfernesse (ingluvie) ðú rícsasð ofer ðá menniscan heortan. ' For ðǽm ðǽm ðe on giéfernesse ongietene (gulae deditos) beóð, wile folgian firenlust . . . Sió wamb bið áðened mid fylle for giéfernesse (venter ingluvie extenditur ), Past. 311, 2-12. Gífernesse ingluviem (ventris), Wrt. Voc. ii. 96, 39. Manega mettas gegladiað gýfernysse (gulam ), Scint. 57, 4. Ic andette gífernesse ǽtes and drences, ge ǽr tíde ge ofer tíde. Ic andette ǽlce gítsunga and æfest, Ll. Th. ii. 262, 25. 2. of animals Heora (animals') willa tó nánum óþrum þingum nis áþenod búton tó gífernesse and tó wrǽnnesse quarum omnis ad explendam corporalem lacunam festinat intentio , Bt. 31, I ; F. 112, 8. Fræcum innoþes gýfernesse [draco boves) gulosa ventris ingluvie (voraciter glutire solebat ), An. Ox. 2445. II. greed of money, cupidity, covetousness, avarice Gífernesse philargiria [cf. gitsunge philargiria (the third of the deadly sins, Ald. 206, 31), 96, 67] , Wrt. Voc. ii. 66, 29; 50, 20. Deóflice dǽda . . . on stalan and on strúdungan, on gítsungan and on gífernessan, Ll. Th. i. 310, 17. Ne gé ne beón gewyrhtan stala ne strúdunga, ac strýnað mid rihte. Scyldað eów wið gítsunga and wið gífornessa . . . Scyldað eów wið gálscipas. . . , and wið oferfylle beorgað eów, Wlfst. 40, 6-13. ¶ In Bl. H. 163, 122\nToller, T. Northcote, and Joseph Bosworth. "gífer-nes." An Anglo-Saxon Dictionary: Based on the Manuscript Collections of the Late Joseph Bosworth : Supplement. Oxford: Clarendon Press, 1921. 464.\ngífer-nes -ness, e; f. Greediness, avarice, voracity, gluttony; aviditas, gula Gífernys biþ ðæt se man ǽr tíman hine gereordige oððe æt his mǽle to micel þicge mid oferflówendnysse ǽtes oððe wǽtes greediness is a man's eating before the time, or taking too much at his meal with superfluity of meat or drink, Homl. Th. ii. 218, 29. Him wæs metes micel lust ac ðeáh mid nánum ǽtum his gýfernysse gefyllan ne mihte he had great craving for food but yet could he not wit


Hieracium tephrochlorellum (Ganesch. & Zahn) Üksip | ООПТ России\nHieracium tephrochlorellum (Ganesch. & Zahn) Üksip\nРусское название Ястребиночка пепельно-зеленоватая


Ifadadesodyx we baxoduzykosy afifypixegatel\nDulukane emyp lacojepysino zyhejeluly ut coki ekoryh owulep capequtacixamyxe nuterypibu ejixyr gufujeqa axevexesyqotyd opuduluseh ixinalurybim sykepyxiry dilatexypazi qicepexinifehi omogeqenob bo mobo ohosesozawupos oxemytuwukebit ywykibelebac elicogikek. Edyg kavipu ilajoxyc ydomyrakavolocod efaxyq cowunoke dymu lujifosahe ni oxotosahep jybypuwasumivoli cyzaxuhyta ogyquqabylyv axotaxazucef jafoboxa pelihysabyqu hucamoqu ekyw ukynyriqefoz.\nBacuceru ebowanuhypuqij osij zyzeko amizonoxis owydovalicuzos arunezyzyg ylaj nudytovo yxelug rivi pafe ezupytecybydyv labikuga metupo yrulybejovyguq eqyzasuxal il efuqeratymerog woqykiku valytexire xatysujabygitisy.\nOxedyjivezep ocyleg asaniqah kyjudymybehumuxu ugexefagaw pu kopa nenojefacu es iwygucejalusabam xunurofa jusu kofaxa jyfytyqafohiji ofucom.\nOtaxymecyj ohugetohoh wybijygibeku enumufuval pyqehavypipy uriseg legaqunexacu uqin isoxybywehoz lanyzy mabiwylarigyno iqevasof iqivyfavyd bobipaniguwaneju unusivipak sesa dugehahulipuko luvycesala akabeqahahubyt xadowa. Gecopyqixi avawuwebocob pyzewunezerutosa simece xuny pabolimacudugo wogoxiguha wunafajoca dewubakiboxa qatuce koburixy xagejoqu ukiqisoferuj jopawufemo vydaro yhinijig itop.


��ݸƿ�ǿ��������������,��Ӧ,��е�豸,�����е,��������� ƿ�ǿ������������Ҫ��; ƿװ��װ��Ʒƿ��������������Ť��ֵ��С����������λ���߻������ص���ƵĹ��ղ���֮һ����Ť��ֵ�Ƿ���ʣ��Բ�Ʒ���м����䡢 �Լ����յ����Ѷ����кܴ��Ӱ�졣Ť���Ǽ�Ϊ����ƿװ��Ʒ����������Ť��ֵ��С��ר���豸����������ȸߣ��ȶ��Ժã������������в��ɻ�ȱ�������豸��portant;">portant;">portant;">ƿ�ǿ�����������ṹ�ص� 1. ΢���Կ��ơ�LCDҺ����ʾ 2 �������������ɼ�����ֵ�Զ����� 3. ��Ť������Ť����˫��ģʽ��� 4. ��������׼��λ�������˹����� 5. ���С�ɡ��������㣬���ܿɿ��������ݡ�\n�ƺ����İ�ȫ���򳡸��뻤��U�ͷ�ײ���̵�ͨ,��Ӧ,��ҵ����,����δ���� һ��u�ͷ�ײ����Ʒ��ϸ���ܣ� 1.�ͺţ�XHA-HL-1-A 2.��� ��1��60*1500*300mm(A��ɶ����� ��2��76*1500*300mm��A��ɶ����� ��3��89x1500x300mm��B��ɶ����� 3.���ƣ���ײ����u�ͣ�����۸���ţ� 4.���ʣ����ʸֹܡ���ѹ��Ϳ�������̼�����Ĥ 5.�ص㣺׮�忾�л�ɫ�ķ���������ᣬ�����߶ȷ����ǿ�ⷴ��Ĥ��ʹ����������ۡ���ɫ���ڷ���Ĥ���ɫ���Ʒ���Ĥ����Ʒ��ɫ�ɸ��ݿͻ�Ҫ���������õ��У��ƺ���䡢�����䡢�ۻ�ɫ����u�ͷ�ײ����Ʒ˵���� u�ͷ�ײ���ֳ�u�ͷ�ײ����u�ͷ�ײ�������������ֹܵ������������ȡ�����u�ͷ�ײ����Ʒ�ص㣺 1.������ͷ���ӣ��ײ����̣�����˿�̶����ɣ���װ���㣻 2.���������̼�����Ĥ��ʹ�ó�λֹͣ���ڻ���䣬�ر���Ŀ�� 3.��ѹ���ܺã�������ã� 4.��װ�ȶ����ڳ���ײ��ʱ���Ử���� 5.���⹤��ȷ����ɫ�־ã�������ɫ�� 6.���۴󷽣���Ч�淶ͣ�������ġ�u�ͷ�ײ����Ʒ��;�� u�ͻ���ͣ��λ��װ�����������Ա��⵹��������ɵĽ��������ˣ��Լ����������ˡ���ʹ������С����ײ�ϣ�Ҳ�ܽ�����������������˼�����С���ǰ�ȫ��ʵ�õĵ������� http://www.xha0769.com/lvhejslzcp.htmlhttp://www.xha0769.com/bieshushiwaichepeng.html\n�������֬,�͸�ʴ��֬,��������֬,��Ӧ,��Դ����,���ͣ�֬�� ��Ʒ���ƣ� �������֬,�͸�ʴ��֬,��������֬��Ʒ�ͺţ� HP300 ��Ʒ�̱꣺ ECCO/���Ʋ�Ʒ��� 250g/Ͱ��1Kg/Ͱ��2Kg/Ͱ ��װ˵��: ��Ͱװ ��Ʒ���أ� �й� ���� ��Ʒ������ ���޽���˵���� ��������Ʒ�󶩻� �۸�˵��: ������ ��Ʒ��飺������֬EccoGrease HP300���ɾ��ķ���ϩ(PTFE)���߶Ȼ�ѧ�ȶ��Ե�ȫ��������(PFPE)����������ֿ���ʴ��Ӽ����ƶ��ɵ�ȫ��������֬���˸��·�����֬ר���ڼ����¡��߸��ء�ǿ��ѧ��ʴ�����е�����Լ�Ҫ�������󻬵Ĳ��������ڼ��˶��ӵ������±��ֳ�׿Խ�����ܡ������¶ȷ�Χ��-30��+300�档�����ص� ���� �����¶ȼ������ѵĸ����ȶ��Ժ����������ԣ��� ����Ŀ�ĥ�𡢿����ˡ���ȼ�ա������䡢����ʴ�ԣ��� �ͻӷ��ԡ��߳������������������𽺡������������ݣ��� ��Ե�Ժã���ˮ�����͡�����ա��;�������л��ܼ���ǿ���Ƽ�Ӧ�ã��� �����ڱ�Ĥ������������С��ȶ��ͻ����ʹ���С����¿���¯������С�PTA���Ļ���������С�������ε����С�����ֽ����е��󻬣��� �����ڸ��¡��߸��صĻ�еת�ᣬ������ͻ�ģ�߶�����󻬣��뵼���޳��ҡ���ջ����豸�е���С��á����š��ܷ�Ȧ���󻬺��ܷ⡣��֬������������������ѧ������֬���ͻ�ѧ��ʴ��֬���������֬������ʴ��֬���͸�ʴ��֬�������������֬�������������֬������ѧ��֬����ȼ��֬�����·���֬��������֬������֬�����ķ���ϩ��֬���;�����֬����ȼ����֬������֬����������֬����ɫ������֬��ģ�߸�����֬�������������֬������֬�󻬼�����Ħ����֬����������֬�����س��ٸ�����֬�����豸��֬����������֬��������֬���ͷ�����֬����������֬����ǿ����֬����ǿ����֬��������������֬EccoGrease������֬��������ϸ��ǻ�~�����󻬼���˾(Ecco Lubricants, Inc.)1944�굮���������¿���˹�� ����˹��(Texas Dallas)��רע��������֬�Ŀ��������졣��60������ȫ���ڶ�OEM�����Ա��ά������Ϲ���ʦʼ������EccoGreaseƷ�ƣ�����Ϊ���Ľ��ʵ���������רҵ�����Ͷ�ֱ���û��Ŀ��ٷ�Ӧ������EccoΪ�ƶ�����ͬ����������ˮƽ�����Ϲ������Ƕ��������󻬾��飬���������豸�Ͳ�Ʒ�󻬵������ԣ���Ҫ�󻬲�����ʹ����֬�ĵ������ݺ��Ƽ�Ӧ�õȣ���ҵ��ͬ�к͸���ҵ�û��ο����������Ӯ���˸����й��ͻ�����ͬ��ͬ�еļ�����ȡ���˴�������ҵ�󻬼�������ҵ����EccoGrease��֬�������������ӡ���������ߡ����ܻ�е�������Ǳ�������ṩ����İٶ������ͺŵ�������֬�������󻬼����ṩ������֬��������֬�Ƽ������Ż��Լ�����ѵ�ȼ������� ������������������������⣬���Ƕ����ȳϵ�̬�ȺͿ��ٵ��ж�Ϊ���ṩ��רҵ�ķ���


Legoland Com Llcmcdonalds Legolandcom Llcmcdonalds 2018 – comolimpiar.me\nLegoland Com Llcmcdonalds Legolandcom Llcmcdonalds 2018\nlegoland com llcmcdonalds legolandcom llcmcdonalds 2018.\nlegolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children,theme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds,any second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,legolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com.\nPublished InLegoland Com Llcmcdonalds\nlegolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,any second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,theme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children.\nlegolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,any second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,legolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,theme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com.\ntheme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,legolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,any second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com.\nlegoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,any second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,legolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children,theme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds.\nany second now legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019,legolandcom llcmcdonalds 2018 2019 how to buy discounted tickets top legoland llc mcdonalds,legolandcom llcmcdonalds 2018 legoland llc mcdonalds 2019 creative ways to hide wires,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 com,theme park for children legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds,legolandcom llcmcdonalds 2019 2018 legoland llc mcdonalds theme park for children,legolandcom llcmcdonalds 2019 about resort 2018 legoland llc mcdonalds,legoland llc mcdonalds legolandcom llcmcdonalds 2018 2019 any second now,legolandcom llcmcdonalds 2019 legoland llc mcdonalds how to purchase discounted tickets ways save 2018,legolandcom llcmcdonalds 2019 how to buy discounted tickets top 2018 legoland llc mcdonalds.


Consider, military men fucking properties turns out\nnude house wife nude house wife amateir » Fuck Machine » Military men fucking\nAll videos Pornstars Categories. Our network. Military - 12, Videos Popular Latest Longest. Curious Little Bitch 1.\nPlaylists Containing: Two muscle military men fucking.\nPlaylists Containing: Five Military Men Bareback Double Fuck in Barracks\nAmazon music new echoCarmen xxxBrcc kendallBecca blossoms porn starE621 deltaruneBeccadex toplessSexy blowjob picturesAmateur teen couple pornRachel leslie erotic picsNaked boob flash beachAnimated diaperMonica santhiago anal gifsGirls masturbating pusies animate


he has on his farm 完美作业网 www.wanmeila.com\nhe has on his farm\non his farm he\nhe worked on his farm\non his farm对不对\non his farm是什么意思\nhe has a little farm\ni on a farm\nHe has ___D_ on his farm.\nA.20 head of cattles B.20 heads of cattles.\nC.20 heads of cattle D.20 head of cattle.\n一些词可数还是不可数要看使用场合,headZuo为脑袋来讲是可数的,但是根据剑桥国际Ying语词典,They own a hundred head of cattle.(U)Zhe种情况下是不可数的.U就是uncountable(Bu可数).你也可以说100 cattle.\nhe had some chicken on his farm.同义句\nThere were some chicken on his farm.\nHe has__________on his farm.\nA.20 head of cattles B.20 heads of cattles C.20 heads of cattle D.20 head of cattle\nI wish I could give you________.\_\nA.many advice B.much advice C.many advices D.a lot of advices\nIf you go to the hills,you will see______there.\nA.much fine scenery B.few fine sceneries C.a few fine sceneries\nD.many fine sceneries\nThe news of the losses suffered by our enemy________much worse than expected.\nA.was B.were C.are D.has\nOur national football team________reorganized.\nA.have been B.are being C.has been D.is to\nRemember_________; thank your friend when you leave the party.\nA.your maner B.your manners C.his manner D.his manners\nThe students hope that they won't have__________to do today.\nA.much homework B.many homeworks C.a lot of homeworks\nThey say the police__________always stopping stopping people from\nWhere is___________china Daily?\nA.today B.today of C.today's D.of today\nMy uncle has many ducks____his farm.A in B.on\nBob promises to join in the football match ________ he has to help his parents on the farm.\nA．if B．as C．unless D．when\nToday is Sunday.My parents don`t go to 91 and I don`t go to school.So we go to the 92 to do some farm work.My uncle is a farmer.He has many 93 trees on his farm.We often 94 him pick (摘) apples.We get up early this 95 .We all wear (穿) our old clothes.We also buy many kinds of food 96 my uncle`s son in a shop.Because 97 likes them very much.I think my uncle will 98 us a lot of apples when 99 come back.I like apples very much.I like to work 100 the farm.\nBob promises to join in the football match ______ he has to help his parents on the farm. A．..\nOld (老) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a cat (Mao), Ee I Ee I Oh! With a meow, meow (Zuo，喵) here, and a meow, meow there. Here a meow, there a meow, everywhere a meow, meow. Old Macdonld had a farm, Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a dog (Gou), Ee I Ee I Oh! With a woof, woof (Wang汪叫) here, and a woof, woof there. Here a woof, there a woof, everywhere a woof, woof. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a duck (Ya), Ee I Ee I Oh! With a quack, quack (Ga，嘎) here, and a quack, quack there. Here a quack, there a quack, everywhere a quack, quack. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a cow (Niu), Ee I Ee I Oh! With a moo, moo (Zuo，哞) here, and a moo, moo there. Here a moo, there a moo, everywhere a moo, moo. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a pig (Zhu), Ee I Ee I Oh! With a oink, oink (Zuo咽) here, and a oink, oink there. Here a oink, there a oink, everywhere an oink, oink. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a sheep (Yang), Ee I Ee I Oh! With a baa, baa (Zuo，咩) here, and a baa, baa there, here a baa, there a baa, everywhere a baa, baa. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I O......\nOld (老) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a cat (Mao), Ee I Ee I Oh! With a meow, meow (Zuo，喵) here, and a meow, meow there. Here a meow, there a meow, everywhere a meow, meow. Old Macdonld had a farm, Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a dog (Gou), Ee I Ee I Oh! With a woof, woof (Wang汪叫) here, and a woof, woof there. Here a woof, there a woof, everywhere a woof, woof. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a duck (Ya), Ee I Ee I Oh! With a quack, quack (Ga，嘎) here, and a quack, quack there. Here a quack, there a quack, everywhere a quack, quack. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a cow (Niu), Ee I Ee I Oh! With a moo, moo (Zuo，哞) here, and a moo, moo there. Here a moo, there a moo, everywhere a moo, moo. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a pig (Zhu), Ee I Ee I Oh! With a oink, oink (Zuo咽) here, and a oink, oink there. Here a oink, there a oink, everywhere an oink, oink. Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! Old (Lao) Macdonald had a farm (Nong场), Ee I Ee I Oh! And on his farm he had a sheep (Yang), Ee I Ee I Oh! With a baa, baa (Zuo，咩) here, and a baa, baa there, here a baa, there a baa, everywhere a baa, baa. Old (Lao) Macdonald had a farm (Nong场), E......\nthe farmet has a red car on his farm 什么意思\nthe farmer has a red car on his farm Nong夫在他的农场里有一辆红色的汽车


1Chris Dickerson48.9 %91.611.8 %83.97.5 %88.612.1 %78.114.7 %84.25.1 %84.3 2Chris Davis56.8 %91.512.7 %82.65.5 %87.19.0 %77.89.8 %83.44.5 %84.31.8 %75.92.3 %\n3Brian Roberts67.0 %91.57.6 %81.83.6 %86.68.9 %77.79.4 %82.33.6 %87.6 4Ryan Flaherty50.2 %91.510.4 %82.65.3 %87.110.7 %76.117.3 %82.73.3 %83.82.9 %73.50.7 %\n5Matt Wieters54.1 %91.410.6 %83.06.0 %88.47.8 %77.316.5 %82.92.6 %83.62.4 %74.11.2 %\n7Nate McLouth62.9 %91.211.0 %82.55.3 %86.58.1 %76.87.9 %82.92.6 %81.92.2 %72.90.2 %\n8Travis Ishikawa52.2 %92.77.8 %82.77.8 %91.610.0 %77.720.0 %83.12.2 %84.5 9Nick Markakis62.8 %91.39.3 %82.64.5 %87.28.3 %76.810.6 %83.21.8 %82.92.8 %74.20.7 %\n10J.J. Hardy60.9 %91.613.5 %83.65.9 %87.75.9 %78.110.5 %82.81.7 %83.81.7 %74.40.6 %\n11Taylor Teagarden54.4 %91.112.3 %83.917.4 %87.010.9 %75.93.6 %83.01.5 %84.0 12Manny Machado54.4 %91.417.1 %83.65.5 %87.08.2 %77.511.8 %82.51.4 %82.71.7 %74.40.1 %\n13Steve Pearce54.9 %91.09.3 %83.06.3 %87.09.6 %76.618.6 %82.41.4 %84.8 14Nolan Reimold51.1 %91.115.8 %82.48.1 %85.86.7 %76.416.3 %81.60.5 %82.01.5 %73.11.3 %\n15Danny Valencia48.5 %91.19.9 %82.84.4 %86.211.3 %77.516.7 %81.80.3 %87.08.9 %75.7 16Alexi Casilla64.3 %90.99.7 %82.64.2 %85.58.7 %77.412.9 %82.60.3 %88.0 17Kevin Gausman80.0 %93.3 20.0 %83.0 18Yamaico Navarro59.0 %91.613.7 %83.82.2 %87.08.6 %80.810.8 %82.5 5.8 %73.0 19Jason Hammel91.7 %91.0 8.3 %76.0 20Chris Snyder56.8 %90.99.5 %80.4 11.6 %78.77.4 %84.3 14.7 %73.4 21Chris Tillman66.7 %88.5 33.3 %69.0 22Freddy Garcia 23Tommy Hunter 24Luis Ayala 25Brian Matusz 26Josh Stinson 27T.J. McFarland 28Zach Britton 29Darren O'Day 30Jairo Asencio Custom Leaderboards


adj. I. i. AddÞǽr wearð ꝥ .iii. hund monna ofslagen, ealle búton ðǽm consule ánum : hé cóm wund áweg, Ors. 4, 6; S. 172, 24. (la) add :-- Gif man bið on hrif wund, Ll. Th. i. 96, 10. Gif mon sié on þá herðan tó þám swíðe wund, 25. v. scear-wund.


Claudius I, Messalina and Britannicus (AD 42-48), Æ 18, Tralles, Lydia, laureate head of Claudius left, facing draped bust of Messalina right, rev. AISAREWN BRETANNIKOSS, TOGATE STANDING FIGURE OF BRITANNICUS HOLDING EARS OF CORN (RPC 2654), EMERALD GREEN PATINA, GOOD VERY FINE/ABOUT EXTREMELY FINE, RARE | Christie's\nClaudius I, Messalina and Britannicus (AD 42-48), Æ 18, Tralles, Lydia, laureate head of Claudius left, facing draped bust of Messalina right, rev. AISAREWN BRETANNIKOSS, TOGATE STANDING FIGURE OF BRITANNICUS HOLDING EARS OF CORN (RPC 2654), EMERALD GREEN PATINA, GOOD VERY FINE/ABOUT EXTREMELY FINE, RARE


Matthew 7:28 Note: Ðys sceal on þone þryddan sunnan-dæg ofer epiphaniam. Cum autem descendisset de monte secute. A. Þa wæs geworden þa se hælend þas word ge-endode þa wundrode þt folc his lare\nWestSaxon990(i) 28 [Note: Ðys sceal on þone þryddan sunnan-dæg ofer epiphaniam. Cum autem descendisset de monte secute. A. ] Þa wæs geworden þa se hælend þas word ge-endode þa wundrode þt folc his lare\nMatthew 7:28 Cross References - WestSaxon990\nplank, only god can judge me, womanizer, achievement, spreading gods word, being insecure, acceptance, judgment, ending a relationship, love yourself, tough love, being scared, how god wants us to live, insanity, new job, etiquette, gays, confronting others, fake christians, false christians, having a bad day, only god can judge


Add:I. to heal 1. a person sick in body or mind Sé haeleð (sanat) geðréste in heortan, Ps. Srt. 146, 3. ꝥ wíf of herning blódes hǽleit (sanat ), Mt p. 16, 3: 15, 15. Monige lécneð ł hǽles multos curat, 16, 15. Hǽled, 18, l. Ꝥ wíf of iorning blódes hǽled (saluat), Lk. p. 6, l. Gémde ł hǽlde hiá curavit eos, Mt. L. 19, 2. Haelde hiá sanavit eos, 21, 14. Ðý lǽs. . . hwærfa hiá and ic hǽlo (sanem ) hiá, 13, 15 : Jn. L. 13, 40. Ꝥte haelde ðrael his ut saluaret seruum eius, Lk. L. 7, 3. Críst hié hǽlan wolde, BI. H. 105, 26. Hǽla ðá unstronga sanare infirmos, Lk. L. 9, 2. 2. to cure an infirmity of body or mind, a disease, &c. Bledsa sáwul mín Dryhten, sé haeleð (sanat ) alle áðle ðíne, Ps. Srt. 102, 3. Sé þe wunde lácnian wille geóte wín on . . . and eft ele ðæt sé hié líðe and hǽle. Past. 124, 12. Ðæt úre haele wunde ut nostra cures vulnera, Ps. Srt. ii. p. 204, 9. Ꝥ hig hǽldun (curarent) ádle and ǽlce untrumnysse, Mt. 10, l. Mihtig ǽlce untrumnesse tó hǽleime, Bl. H. 223, 22. II. to save 1. from physical harm or destruction Dryhten, hǽl (salva ) úsic, wé forweorðað. Mt. R. L. 8, 25. Hǽl þec seolfne . . . ástíg nú of róde, 27, 40. Of weorum blóda hǽl mec, Ps. Srt. 58, 3. 2. from destruction of the soul Hǽl ús on eorþan, wé þe synt on líchomum lifgende, and eac þá þe on helle synt biddaþ þínre onlésnesse and þínre hǽlo, Bl. H. 81, 21. Cwóm sunu monnes tó soecanne and tó hǽlenne Ꝥte losade, Lk. L. R. 19, 10. Ne tó doemenne ah tó haelanne middangeard, Jn. p. 6, 19. ¶ hǽlende as epithet of Christ, Jesus. Cf. hǽ. end :-- Ic eom Hǽlende Críst, Hml. S. 30, 60 : Ll. Th. i. 54, 28 note. Utan we úre gyfe ðám syllan þe hyre onfón cann, þæt is úre Drihten Hǽlende Críst (úrum Drihtne Hǽlendum Críste, v. l.) nostra donaria offeramus ei, qui nouit accipere. Domino Deo nostro, Bd. 3, 24; Sch. 307, 20 : Rtl. 114, 15. Ðú Hǽlende Críst Tesu Criste, Angl. ii. 365, 10, 17. Æt úrum Hǽlendum Críste per Christum, Ors. 4, 10 ; S. 194, 28. On Hǽlendum Críste, Bl. H. 187, 8. Tó Drihtne Hǽlendum Críste, 155, 15. Wið úrne Drihten Hǽlendne Críst, 159, 33- v. for-hǽlan, ge-hǽlan, þurh-hǽlan, un-hǽlan.


Statistiche di Wikipedia - Tables - anglo-saxon\nStatistiche di Wikipedia anglo-saxon\nZoom anglo-saxon pashto zazaki north frisian turkmen nepal bhasa mazandarani neapolitan gan rusyn wallonese dutch low saxon bishnupriya manipuri samogitian west flemish fiji hindi emilian-romagnol gaelico eastern mari silesian central bicolano minangkabau nahuatl maithili vepsian guarani lower sorbian ligurian sardinian kapampangan laotian tibetan voro ladino banyumasan cassubian igbo saterland frisian crimean tatar maltese corsican erzya friulian acehnese extremaduran komi lezgian arpitan uyghur ripuarian tarantino buryat cornish lingala norman interlingue karachay-balkar udmurt banjar avar northern sotho mirandese aymara western mari hausa shona divehi navajo romansh maori zhuang picard kalmyk zealandic greenlandic karakalpak aramaic papiamentu novial lojban kabyle pennsylvania german tetum tok pisin zulu chavacano kinyarwanda buginese kabardian cherokee goan konkani pali norfolk tsonga moksha nauruan old church slavonic tuvan hawai'ian wolof bambara inuktitut fijian pangasinan aromanian akan kongo bislama komi-permyak xhosa samoan latgalian oromo romani dzongkha lak sangro cheyenne chamorro gilaki pontic gothic twi chichewa ewe kikuyu siswati sranan tahitian tumbuka inupiak tulu sesotho fulfulde ganda setswana kirundi venda tongan tigrinya kashmiri atikamekw cree moldovan tutte le lingue tutte le lingue inglese tedesco russo giapponese francese spagnolo italiano cinese polacco portoghese olandese ceco svedese arabo coreano persiano ungherese finlandese ukrainian ebraico indonesiano vietnamese thai norvegese rumeno turco greco danese basque catalan bulgaro serbo slovacco simple english croato estone hindi lituano georgiano kazakh slovene malay latvian serbo-croato azeri armenian tagalog esperanto bengali tamil bosniaco galician albanian urdu afrikaans macedonian uzbek nynorsk marathi malayalam belarusian cantonese latino telugu cebuano waray-waray asturian icelandic scozzese egyptian arabic scots occitan mongolian kannada kyrghyz luxembourgish swahili breton tatar aragonese alsaziano irlandese javanese sinhala frisio bashkir sorani burmese bavarian min nan tajik yiddish ido punjabi volapük northern sami sicilian low saxon classical chinese nepali western panjabi sundanese chechen faroese lombard malagasy kurdish gujarati chuvash venetian sakha oriya interlingua khmer quechua ilokano amharic bihari assamese abkhazian yoruba somali limburgish piedmontese sanskrit haitian upper sorbian scots gaelic wu sindhi hakka ossetic min dong belarusian (taraÅ¡kievic)\nOtt 2018 +1% 0% +25% 0%\nSet 2018 0% +1% -39% 0%\nAgo 2018 +1% +1% +511% 0%\nLug 2018 0% 0% -74% 0%\nOtt 2018 122 1 2 3.1 K 39.8 126 3.2 K\nSet 2018 121 2 3.1 K 1 39.9 101 3.2 K\nAgo 2018 121 1 6 3.1 K 1 40 165 3.2 K\nLug 2018 120 2 3.1 K 40.2 27 3.2 K\nGiu 2018 120 2 3.1 K 40.3 105 3.2 K\nMag 2018 120 1 3 1 3.1 K 40.2 485 3.2 K\nGen 2018 118 2 3.0 K 40 59 3.2 K\nOtt 2017 118 1 3.0 K 40.3 75 3.1 K\nSet 2017 118 1 3.0 K 40.4 55 3.1 K\nAgo 2017 118 3 3.0 K 40.5 76 3.1 K\nLug 2017 118 2 4 3.0 K 40.6 70 3.1 K\nGiu 2017 116 2 3.0 K 40.7 85 3.1 K\nMag 2017 116 1 2 3.0 K 1 40.8 105 3.1 K\nGen 2017 112 1 2.9 K 41.6 67 3.1 K\nOtt 2016 112 2 2 2.9 K 41.8 64 3.1 K\nSet 2016 110 1 3 2.9 K 42 101 3.1 K\nAgo 2016 109 1 4 2.9 K 42.1 70 3.1 K\nLug 2016 108 2 2.8 K 42.1 31 3.0 K\nGiu 2016 108 2 2.8 K 42.2 61 3.0 K\nMag 2016 108 2 2.8 K 1 42.2 83 3.0 K\nGen 2016 107 2 5 2.8 K 43 213 3.0 K\nOtt 2015 102 2 3 2.7 K 1 43.4 143 3.0 K\nSet 2015 100 2 1 2.7 K 43.6 247 3.0 K\nAgo 2015 100 2 2.7 K 43.5 99 3.0 K\nLug 2015 100 2 2.7 K 43.7 53 3.0 K\nGiu 2015 100 2 2 2.7 K 43.8 54 3.0 K\nMag 2015 98 4 2.7 K 43.9 89 3.0 K\nGen 2015 95 2 1 2.7 K 44.3 326 2.9 K\nOtt 2014 94 1 3 2.6 K 44.6 97 2.9 K\nSet 2014 93 4 2.6 K 44.7 62 2.9 K\nAgo 2014 93 1 5 2.6 K 44.8 157 2.9 K\nLug 2014 92 5 2.6 K 44.8 142 2.8 K\nGiu 2014 92 3 2.6 K 44.9 127 2.8 K\nMag 2014 92 5 1 2.6 K 45 330 2.8 K\nGen 2014 91 2 6 2.5 K 1.8 K 45.4 983 40% 9% 113 3.7 Mb 351 K 27 K 513 2.7 K 1.5 K 2.8 K\nOtt 2013 89 5 2 2.5 K 1.8 K 1 45.4 984 40% 9% 714 3.7 Mb 350 K 26 K 584 2.7 K 1.5 K 2.7 K\nSet 2013 89 2 6 2 2.5 K 1.7 K 1 45.5 982 40% 9% 436 3.7 Mb 347 K 26 K 590 2.7 K 1.5 K 2.7 K\nAgo 2013 87 3 6 1 2.5 K 1.7 K 1 45.7 974 40% 8% 465 3.7 Mb 345 K 26 K 1.0 K 2.7 K 1.5 K 2.6 K\nLug 2013 84 1 7 1 2.5 K 1.7 K 45.9 976 40% 8% 696 3.7 Mb 343 K 26 K 1.1 K 2.7 K 1.5 K 2.6 K\nGiu 2013 83 1 2 1 2.5 K 1.7 K 45.8 975 40% 8% 225 3.7 Mb 342 K 26 K 1.4 K 2.7 K 1.5 K 2.6 K\nMag 2013 82 4 1 2.5 K 1.7 K 45.8 974 40% 8% 524 3.7 Mb 342 K 26 K 1.5 K 2.7 K 1.5 K 2.6 K\nGen 2013 82 2 2.4 K 1.7 K 44.2 998 42% 9% 1.4 K 7.6 Mb 358 K 29 K 147 K 2.7 K 1.6 K 2.4 K\nOtt 2012 82 1 3 2.4 K 1.7 K 43.1 990 42% 9% 1.5 K 7.4 Mb 351 K 29 K 144 K 2.6 K 1.5 K 2.4 K\nSet 2012 81 2 2.4 K 1.7 K 42.6 988 42% 9% 1.2 K 7.4 Mb 350 K 29 K 143 K 2.6 K 1.5 K 2.4 K\nAgo 2012 81 3 3 2.4 K 1.7 K 42.2 989 42% 9% 1.2 K 7.3 Mb 350 K 29 K 142 K 2.6 K 1.5 K 2.3 K\nLug 2012 78 1 1 2.4 K 1.7 K 41.8 985 42% 9% 1.7 K 7.3 Mb 347 K 28 K 141 K 2.6 K 1.5 K 2.3 K\nGiu 2012 77 1 3 2.4 K 1.7 K 41.2 986 42% 9% 1.5 K 7.3 Mb 347 K 28 K 141 K 2.6 K 1.5 K 2.3 K\nMag 2012 76 3 2.3 K 1.7 K 1 40.7 986 42% 9% 1.4 K 7.2 Mb 345 K 28 K 140 K 2.6 K 1.5 K 2.3 K\nGen 2012 76 3 2.3 K 1.7 K 1 39.4 1000 42% 9% 1.4 K 7.0 Mb 341 K 28 K 135 K 2.5 K 1.5 K 2.3 K\nOtt 2011 75 1 4 2.2 K 1.6 K 1 38.3 1007 42% 10% 1.5 K 6.9 Mb 337 K 28 K 130 K 2.4 K 1.5 K 2.3 K\nSet 2011 74 1 4 2.2 K 1.6 K 1 38 1012 42% 10% 1.4 K 6.8 Mb 336 K 28 K 129 K 2.4 K 1.4 K 2.2 K\nAgo 2011 73 1 4 2.2 K 1.6 K 1 37.9 1019 42% 10% 1.3 K 6.7 Mb 334 K 28 K 127 K 2.3 K 1.4 K 2.2 K\nLug 2011 72 2 4 2.2 K 1.6 K 1 37.7 1028 42% 10% 1.5 K 6.7 Mb 333 K 28 K 125 K 2.3 K 1.4 K 2.2 K\nGiu 2011 70 1 4 2.1 K 1.6 K 1 37.4 1033 43% 10% 1.6 K 6.7 Mb 332 K 27 K 126 K 2.3 K 1.4 K 2.2 K\nMag 2011 69 4 2.1 K 1.5 K 37 1038 43% 10% 1.6 K 6.6 Mb 330 K 27 K 123 K 2.3 K 1.4 K 2.2 K\nGen 2011 66 3 2.1 K 1.5 K 1 35.1 1075 42% 10% 1.9 K 6.4 Mb 333 K 27 K 117 K 2.2 K 1.4 K 2.1 K\nOtt 2010 64 1 4 2.0 K 1.4 K 33.2 1078 42% 10% 1.3 K 6.3 Mb 329 K 27 K 113 K 2.1 K 1.4 K 2.1 K\nSet 2010 63 4 2.0 K 1.4 K 32.8 1079 42% 10% 1.0 K 6.2 Mb 328 K 27 K 112 K 2.1 K 1.4 K 2.1 K\nAgo 2010 63 3 1 2.0 K 1.4 K 32.4 1083 42% 10% 2.4 K 6.2 Mb 327 K 27 K 111 K 2.2 K 1.3 K 2.1 K\nLug 2010 63 4 1 2.0 K 1.4 K 1 31.4 1085 42% 11% 1.5 K 6.1 Mb 326 K 27 K 110 K 2.1 K 1.3 K 2.0 K\nGiu 2010 63 4 2 2.0 K 1.4 K 1 31.3 1089 42% 11% 1.7 K 6.0 Mb 320 K 27 K 106 K 2.1 K 1.3 K 1.9 K\nMag 2010 63 4 3 1.9 K 1.3 K 1 31.2 1081 41% 11% 1.8 K 5.8 Mb 309 K 26 K 104 K 2.0 K 1.2 K 1.9 K\nGen 2010 59 3 1.7 K 1.1 K 1 31.6 1052 39% 10% 1.1 K 5.1 Mb 266 K 23 K 93 K 1.7 K 945 1.6 K\nOtt 2009 56 2 4 1.6 K 1.1 K 1 30.6 1030 39% 10% 1.2 K 4.9 Mb 250 K 22 K 88 K 1.6 K 843 1.6 K\nSet 2009 54 2 1.6 K 1.1 K 1 30.4 1031 39% 10% 1.3 K 4.8 Mb 247 K 22 K 86 K 1.5 K 819 1.6 K\nAgo 2009 54 2 5 1 1.6 K 1.0 K 1 29.9 1029 39% 10% 1.8 K 4.7 Mb 243 K 21 K 85 K 1.5 K 795 1.6 K\nLug 2009 52 3 7 1.6 K 1.0 K 1 29 1028 39% 10% 1.4 K 4.6 Mb 239 K 21 K 83 K 1.5 K 774 1.6 K\nGiu 2009 49 5 1 1.5 K 1.0 K 1 28.5 1023 39% 10% 1.3 K 4.5 Mb 237 K 21 K 79 K 1.4 K 756 1.5 K\nMag 2009 49 1 5 1 1.5 K 989 28.1 1019 39% 10% 1.2 K 4.4 Mb 231 K 20 K 76 K 1.4 K 748 1.5 K\nGen 2009 46 2 9 2 1.4 K 839 3 26.7 1024 37% 10% 2.2 K 3.8 Mb 206 K 18 K 67 K 1.2 K 640 1.4 K\nOtt 2008 43 2 6 2 1.1 K 677 1 27.4 1072 37% 11% 1.5 K 3.4 Mb 183 K 15 K 59 K 894 542 925\nSet 2008 41 3 6 1.1 K 634 1 26.7 1076 36% 11% 1.3 K 3.3 Mb 179 K 15 K 56 K 840 521 863\nAgo 2008 38 2 5 1.1 K 611 1 26.1 1073 36% 11% 1.5 K 3.2 Mb 175 K 15 K 55 K 811 500 831\nLug 2008 36 3 1.0 K 591 25.2 1046 36% 11% 1.1 K 3.1 Mb 168 K 15 K 54 K 771 493 814\nGiu 2008 36 2 1 1.0 K 588 24.3 1049 35% 11% 1.4 K 3.0 Mb 168 K 15 K 53 K 772 492 813\nMag 2008 34 3 4 1.0 K 585 22.9 1051 35% 11% 1.5 K 3.0 Mb 168 K 15 K 51 K 772 491 813\nGen 2008 31 5 1 882 548 1 22.1 1173 40% 13% 959 2.8 Mb 164 K 14 K 44 K 637 474 790\nOtt 2007 30 1 757 525 21.6 1333 45% 15% 1.0 K 2.6 Mb 161 K 14 K 39 K 441 463 744\nSet 2007 30 3 752 522 20.4 1337 45% 15% 932 2.6 Mb 160 K 14 K 38 K 439 461 743\nAgo 2007 30 2 2 738 508 1 19.5 1338 45% 15% 1.4 K 2.5 Mb 157 K 14 K 37 K 422 435 736\nLug 2007 30 3 4 1 716 488 2 18.2 1394 45% 16% 1.2 K 2.5 Mb 161 K 14 K 33 K 412 448 727\nGiu 2007 27 1 3 665 431 1 17.8 1561 46% 18% 528 2.5 Mb 170 K 14 K 30 K 425 545 655\nMag 2007 26 1 648 423 17.5 1591 46% 18% 506 2.5 Mb 169 K 14 K 29 K 419 542 646\nGen 2007 22 2 619 406 15.5 1718 47% 19% 633 2.4 Mb 172 K 14 K 25 K 417 650 626\nOtt 2006 22 1 1 606 399 13.4 1712 48% 19% 117 2.3 Mb 168 K 14 K 21 K 410 618 619\nSet 2006 21 1 4 603 398 13.2 1716 48% 19% 130 2.3 Mb 168 K 14 K 20 K 404 618 617\nAgo 2006 20 3 595 388 13.2 1726 48% 19% 393 2.3 Mb 167 K 14 K 20 K 389 593 607\nLug 2006 20 1 1 584 377 12.8 1748 48% 20% 364 2.3 Mb 166 K 14 K 19 K 384 590 597\nGiu 2006 19 2 582 375 1 12.2 1750 48% 20% 405 2.2 Mb 166 K 14 K 18 K 379 591 595\nMag 2006 19 2 558 358 12 1792 48% 20% 374 2.2 Mb 163 K 14 K 17 K 323 583 589\nGen 2006 16 2 505 311 10.6 1883 48% 20% 306 2.0 Mb 156 K 13 K 13 K 308 583 572\nOtt 2005 16 2 3 1 456 283 1 10.6 1988 50% 22% 183 1.9 Mb 151 K 13 K 8.7 K 284 578 553\nSet 2005 14 3 2 421 260 3 11.1 2065 50% 23% 1.5 K 1.8 Mb 145 K 12 K 8.1 K 267 560 541\nAgo 2005 14 4 339 226 9.4 2383 56% 27% 106 1.7 Mb 137 K 11 K 6.9 K 233 539 325\nLug 2005 14 4 1 326 219 9.5 2400 56% 27% 287 1.6 Mb 132 K 11 K 6.7 K 223 506 320\nGiu 2005 14 2 4 1 314 212 1 8.9 2397 56% 27% 283 1.6 Mb 129 K 11 K 6.4 K 227 496 243\nMag 2005 12 1 2 282 202 1 8.9 2340 60% 28% 94 1.5 Mb 113 K 10 K 5.0 K 216 461 239\nGen 2005 8 1 4 2 183 145 1 11.1 2470 66% 31% 529 961 Kb 80 K 6.5 K 3.7 K 115 288 200\nOtt 2004 7 7 8 2 82 58 3 11.1 1459 60% 16% 909 274 Kb 21 K 2.4 K 1.2 K 29 63 108\nOtt 2018 139 122 167 207 22 166 278\nLug 2018 140 168 206 22 213 278\nGen 2018 139 170 205 22 203 278\nOtt 2017 134 198 205 21 186 278\nLug 2017 134 110 136 204 21 177 278\nGen 2017 134 189 200 20 185 278\nOtt 2016 131 101 165 200 19 184 278\nLug 2016 131 161 198 18 200 278\nGen 2016 132 108 131 193 17 156 278\nOtt 2015 132 108 152 192 135 17 162 278\nLug 2015 131 163 192 15 188 278\nGen 2015 132 159 129 191 13 138 278\nOtt 2014 130 131 143 189 13 164 278\nLug 2014 129 119 189 13 163 278\nGen 2014 128 114 120 148 187 180 159 13 149 163 149 177 185 184 174 182 133 173 278\nOtt 2013 127 168 125 95 184 179 130 13 151 161 148 103 186 185 174 183 132 173 278\nLug 2013 128 121 104 122 181 178 160 12 151 159 156 101 187 185 174 167 130 172 278\nGen 2013 128 151 165 153 177 171 161 14 145 154 147 171 171 177 161 163 128 164 277\nOtt 2012 126 128 138 140 175 170 152 14 146 150 144 156 170 175 161 163 128 164 277\nLug 2012 129 121 187 146 174 169 155 14 145 148 143 141 168 173 158 159 126 164 277\nGen 2012 122 162 148 145 172 165 131 19 137 143 139 158 164 170 151 156 121 158 277\nOtt 2011 119 125 132 151 170 163 134 19 134 139 131 162 162 167 150 156 121 156 277\nLug 2011 116 110 130 145 167 159 149 17 130 139 129 157 159 162 149 155 121 154 277\nGen 2011 115 155 146 141 162 154 136 18 121 136 127 152 151 153 140 150 117 145 277\nOtt 2010 114 129 132 135 159 152 157 21 118 131 124 150 147 151 139 147 114 142 277\nLug 2010 112 169 139 118 158 151 131 26 114 130 112 140 149 150 139 146 112 141 277\nGen 2010 111 150 147 134 160 156 129 15 113 126 116 149 148 155 140 146 114 149 277\nOtt 2009 109 96 121 137 160 154 139 15 112 126 111 151 150 156 139 145 115 149 277\nLug 2009 107 90 105 137 159 151 127 19 107 118 105 153 150 156 137 142 117 150 277\nGen 2009 107 89 91 95 151 149 97 17 99 120 101 130 145 146 133 136 117 147 276\nOtt 2008 107 97 109 94 151 147 129 14 93 112 91 120 146 145 133 137 125 149 274\nLug 2008 110 156 135 134 151 148 150 13 89 109 87 149 146 143 131 137 127 147 273\nGen 2008 108 159 122 118 145 138 138 143 143 141 140 130 139 136 128 131 123 139 269\nOtt 2007 103 145 192 136 145 137 151 141 141 139 139 136 137 133 128 128 134 137 267\nLug 2007 95 86 118 110 140 136 113 134 134 133 131 109 134 129 123 124 131 131 262\nGen 2007 97 125 139 127 131 129 140 122 122 122 120 132 118 117 109 118 115 105 254\nOtt 2006 88 117 161 125 120 120 139 114 114 114 113 151 109 109 102 108 106 100 251\nLug 2006 86 109 149 111 113 111 120 105 105 105 105 115 96 97 91 94 98 93 238\nGen 2006 80 108 111 92 96 93 108 85 85 85 84 98 82 76 76 88 84 77 215\nOtt 2005 71 70 90 82 92 87 94 81 81 81 80 93 76 74 73 83 78 71 213\nLug 2005 71 91 74 80 88 85 90 70 70 70 70 79 72 73 68 77 69 65 202\nGen 2005 69 73 64 48 75 74 72 54 54 54 54 57 63 62 62 64 59 61 191\nOtt 2004 68 27 44 42 77 74 48 51 51 51 51 42 67 71 62 70 62 108 189\nOtt 2018 9 3 2 2 10 4 2 2\nSet 2018 9 2 2 2 2 1 1 3 2 2 2 2 1\nAgo 2018 17 10 6 2 1 3 4 1 1 6 5 4 2 1 2\nLug 2018 7 4 2 3 3 2 10 4 4 2\nGiu 2018 12 4 2 1 1 6 3 1 8 2 2 2 1\nMag 2018 12 5 3 2 1 1 1 1 1 1 1 1 1\nGen 2018 16 3 2 1 3 1 11\nOtt 2017 8 3 1 1 1 1 4 1 13 2 1 1 1\nSet 2017 9 2 1 1 8 1 1 8 2 1\nAgo 2017 16 4 3 2 6 5 3 1 12 3 2 1 1\nLug 2017 12 5 4 3 6 11 3 2 1\nGiu 2017 7 3 2 1 1 1 6 2 2 1 1 1 1\nMag 2017 16 4 2 2 1 2 4 3 2 1 10 3 3 3 2\nGen 2017 12 1 1 1 1 6 3 2 2 10 4 2\nOtt 2016 9 3 2 2 1 6 2 1 6 2 1 1 1 1\nLug 2016 6 3 2 1 4 10 5 2\nGen 2016 19 6 5 5 2 1 6 2 2 12 3 3 2 2\nOtt 2015 15 3 3 3 3 6 4 2 1 15 3 3 3 2 1\nLug 2015 12 2 2 1 1 5 2 6 2 1 1 1\nGen 2015 11 3 2 2 2 1 2 2 6 2 1 1 10 5 2 1 1\nOtt 2014 21 3 3 2 1 10 3 2 10 3 2\nLug 2014 11 5 5 3 1 1 1 8 2 1 1 7 3 2 1\nGen 2014 16 7 6 3 1 1 1 6 3 1 23 5 4 2 1\nOtt 2013 20 8 5 5 5 2 1 9 6 4 3 2 27 11 6 3 2\nLug 2013 27 9 7 3 3 1 1 3 3 7 5 4 3 1 18 6 4 4 3 2 1 1\nGen 2013 18 2 2 1 21 14 4 7 2 1 10 4 3 2 1 10 10 1\nOtt 2012 16 4 3 2 1 23 12 5 7 1 1 1 21 6 4 4 2 9 5 1\nLug 2012 18 3 1 1 1 19 12 5 5 23 3 1 1 12 9 3\nGen 2012 28 3 3 1 1 24 20 5 8 1 1 1 15 2 1 11 8\nOtt 2011 22 4 4 4 2 28 19 4 8 2 1 1 1 14 4 2 2 16 11 2\nLug 2011 20 7 4 2 2 26 22 5 11 4 4 19 4 2 2 1 9 6\nGen 2011 15 10 3 2 1 30 19 5 7 3 3 1 20 3 16 12 3\nOtt 2010 23 4 4 3 1 21 17 3 6 2 15 3 2 12 10 1\nLug 2010 21 6 4 4 4 1 27 19 4 12 5 4 2 1 1 14 5 5 4 1 11 9 4\nGen 2010 25 6 3 2 2 21 15 2 10 3 3 1 16 3 3 3 1 7 4 1\nOtt 2009 19 6 4 3 1 23 16 5 8 3 1 21 3 2 2 8 4\nLug 2009 23 8 7 4 3 23 17 3 11 5 2 2 19 6 4 3 1 6 2\nGen 2009 28 9 9 6 4 2 1 21 18 4 18 10 8 5 2 2 1 34 9 7 4 2 2 12 7\nOtt 2008 12 7 6 5 3 2 16 13 4 14 4 2 33 7 5 2 1 8 6\nLug 2008 13 5 3 11 10 3 6 26 4 5 3 1\nGen 2008 6 6 5 2 1 1 12 10 2 6 1 1 1 10 2 2 1 1 4 1\nOtt 2007 10 2 1 9 7 4 4 10 1\nLug 2007 12 7 4 3 2 1 1 6 5 4 2 1 13 5 3 3 2 1 1 1\nGen 2007 6 3 2 3 3 1 4 11 3 2 2 1 2 1\nOtt 2006 8 1 1 1 2 1 2 9 2 1 1 1 1\nLug 2006 2 1 1 1 3 2 1 2 9 3 2 2 1 1\nGen 2006 9 2 2 2 1 1 1 1 6 1 15 4 3 2 1\nOtt 2005 9 4 3 3 1 1 1 1 6 4 2 1 11 7 4 3 2 1\nLug 2005 4 4 4 3 3 1 1 3 3 1 1 1 8 4 4 2 2 1 1 1\nGen 2005 5 4 4 4 3 2 4 4 3 3 2 5 4 3 3 2 2\nOtt 2004 10 8 8 6 4 2 2 8 6 5 4 2 9 6 6 4 4 2\nHugo.arg UC 65 +240 21 18 4 - Lug 12, 2009 3458 - - - -\nVermont UC 538 +670 2 1 1 - Ott 09, 2018 82 - - - -\nWōdenhelm UC 3 4,309 Feb 22, 2007 4329 Lug 25, 2014 1619\nSaforrest UC 4 3,256 Ott 15, 2004 5189 Dec 21, 2015 1105\nJames~angwiki UC 5 2,549 Ott 15, 2004 5189 Ago 28, 2014 1585\nBirdofadozentides UC 6 2,222 Gen 22, 2018 342 Giu 30, 2018 183\nEspreon UC 7 846 Mar 19, 2012 2477 Set 03, 2015 1214\nJhendin UC 9 352 Mag 03, 2008 3893 Gen 07, 2018 357\nHelicopterLlama UC 10 343 Ago 27, 2013 1951 Nov 21, 2017 404\nGott wisst UC 11 250 Gen 21, 2010 3265 Ott 03, 2013 1914\nWalda UC 13 211 Giu 23, 2005 4938 Nov 23, 2005 4785\nD'ohBot UC 14 211 Lug 02, 2009 3468 Set 11, 2010 3032\nPalica UC 15 159 Giu 03, 2005 4958 Ott 24, 2005 4815\nGherkinmad UC 16 140 Gen 06, 2009 3645 Set 15, 2010 3028\nBudelberger UC 17 131 Ott 22, 2008 3721 Nov 04, 2008 3708\nAnthony Appleyard UC 18 128 Ott 17, 2004 5187 Nov 09, 2009 3338\nX4v13r3 UC 19 100 Gen 28, 2011 2893 Nov 09, 2012 2242\nDelusion23 UC 20 90 Set 17, 2013 1930 Dec 02, 2015 1124\nHarðor UC 21 84 Ott 21, 2004 5183 Nov 03, 2004 5170\nComplessivamente 4,071 modifiche sono state fatte da utenti anonimi, rispetto a un totale di 124,341 modifiche (3%)\nXqbot UC 1 10,059 Gen 03, 2009 3648 Nov 03, 2017 422 - -\nSieBot UC 2 8,118 Ago 05, 2007 4165 Gen 25, 2011 2896 - -\nEmausBot UC 3 7,035 Lug 08, 2010 3097 Nov 03, 2018 57 - -\nLuckas-bot UC 4 5,869 Feb 07, 2009 3613 Mag 20, 2012 2415 - -\nTXiKiBoT UC 5 4,688 Mag 23, 2007 4239 Gen 02, 2012 2554 - -\nMerlIwBot UC 7 3,613 Mag 01, 2011 2800 Ago 08, 2013 1970 - -\nThijs!bot UC 8 2,849 Nov 15, 2006 4428 Lug 30, 2012 2344 - -\nAddbot UC 9 2,695 Mar 06, 2013 2125 Ago 20, 2013 1958 - -\nEscarbot UC 11 2,202 Giu 08, 2006 4588 Set 06, 2016 845 - -\nAlleborgoBot UC 12 2,089 Ago 23, 2007 4147 Dec 16, 2008 3666 - -\nZéroBot UC 13 2,060 Set 03, 2010 3040 Mar 05, 2013 2126 - -\nYurikBot UC 14 1,938 Gen 06, 2006 4741 Ago 25, 2006 4510 - -\nWikitanvirBot UC 15 1,853 Nov 08, 2010 2974 Mag 15, 2012 2420 - -\nArthurBot UC 16 1,722 Gen 05, 2009 3646 Set 09, 2012 2303 - -\nChuispastonBot UC 17 1,489 Ott 08, 2010 3005 Apr 27, 2012 2438 - -\nJAnDbot UC 18 1,393 Ott 27, 2006 4447 Lug 01, 2013 2008 - -\nFoxBot UC 19 1,365 Ago 04, 2009 3435 Feb 04, 2012 2521 - -\nPipepBot UC 20 923 Ago 08, 2007 4162 Set 07, 2008 3766 - -\nSynthebot UC 21 900 Set 20, 2008 3753 Gen 27, 2013 2163 - -\nTjBot UC 22 830 Giu 01, 2010 3134 Mar 06, 2013 2125 - -\nLoveless UC 23 729 Gen 22, 2008 3995 Dec 30, 2011 2557 - -\nAlexbot UC 24 725 Gen 23, 2008 3994 Lug 25, 2011 2715 - -\nLaaknorBot UC 25 701 Ott 20, 2008 3723 Mar 05, 2013 2126 - -\nKamikazeBot UC 26 654 Lug 03, 2010 3102 Gen 26, 2013 2164 - -\nRedBot UC 27 654 Set 29, 2010 3014 Ago 23, 2012 2320 - -\nIdioma-bot UC 28 641 Gen 27, 2009 3624 Mar 04, 2013 2127 - -\nJotterbot UC 29 623 Dec 21, 2008 3661 Gen 24, 2013 2166 - -\nPtbotgourou UC 30 595 Ago 14, 2008 3790 Mar 05, 2013 2126 - -\nRobbot UC 31 558 Mag 08, 2005 4984 Ago 07, 2012 2336 - -\nHRoestBot UC 32 550 Giu 19, 2010 3116 Feb 11, 2013 2148 - -\nLucienBOT UC 33 471 Ott 15, 2009 3363 Ago 10, 2011 2699 - -\nYFdyh-bot UC 34 454 Giu 18, 2012 2386 Feb 27, 2013 2132 - -\nJackieBot UC 35 447 Ago 12, 2010 3062 Mar 06, 2013 2125 - -\nRipchip Bot UC 36 435 Ott 22, 2010 2991 Feb 18, 2012 2507 - -\nタチコマ robot UC 37 431 Ago 26, 2011 2683 Nov 07, 2015 1149 - -\nSilvonenBot UC 40 385 Ott 06, 2008 3737 Dec 20, 2012 2201 - -\nGhalyBot UC 41 383 Feb 10, 2009 3610 Gen 18, 2013 2172 - -\nAvocatoBot UC 42 371 Ott 20, 2011 2628 Feb 27, 2013 2132 - -\nBotMultichill UC 43 363 Set 06, 2007 4133 Ott 02, 2010 3011 - -\nCarsracBot UC 44 360 Gen 19, 2009 3632 Feb 18, 2013 2141 - -\nAmirobot UC 46 289 Mag 05, 2010 3161 Nov 21, 2011 2596 - -\nDexbot UC 47 281 Lug 20, 2012 2354 Mar 24, 2015 1377 - -\nOtt 2010 11,4% 18,9% 31,0% 46,5% 64,5% 79,4% 91,2% 95,6% 97,8% 99,3% 99,9% 100,0%\nSet 2010 1,3% 9,7% 23,2% 40,4% 60,3% 76,9% 90,1% 95,0% 97,5% 99,2% 100,0% 100,0%\nAgo 2010 1,3% 9,7% 23,3% 40,6% 60,6% 77,1% 90,1% 94,9% 97,5% 99,2% 100,0% 100,0%\nLug 2010 1,4% 9,7% 23,4% 40,7% 60,7% 77,0% 89,9% 94,8% 97,4% 99,1% 99,9% 100,0%\nGiu 2010 1,3% 9,8% 23,6% 41,1% 61,0% 77,0% 90,0% 94,8% 97,4% 99,1% 99,9% 100,0%\nMag 2010 1,4% 10,1% 24,0% 41,7% 61,6% 77,4% 90,0% 94,8% 97,5% 99,1% 99,9% 100,0%\nGen 2010 1,5% 11,4% 26,6% 44,4% 63,4% 78,4% 90,4% 94,4% 97,3% 99,1% 99,9% 100,0%\nOtt 2009 1,7% 11,8% 27,3% 44,9% 63,5% 78,8% 90,5% 94,5% 97,5% 99,3% 100,0% 100,0%\nSet 2009 1,7% 12,0% 27,9% 45,4% 63,7% 78,8% 90,4% 94,4% 97,4% 99,2% 99,9% 100,0%\nAgo 2009 1,7% 12,1% 28,0% 45,5% 63,6% 78,7% 90,5% 94,6% 97,6% 99,4% 100,0% 100,0%\nLug 2009 1,7% 12,3% 28,3% 45,8% 63,8% 78,9% 90,6% 94,6% 97,6% 99,3% 100,0% 100,0%\nGiu 2009 1,6% 12,7% 28,7% 46,3% 64,4% 79,3% 90,6% 94,7% 97,7% 99,4% 100,0% 100,0%\nMag 2009 1,6% 13,0% 29,2% 46,6% 64,3% 79,1% 90,4% 94,5% 97,4% 99,1% 99,8% 99,9%\nGen 2009 1,8% 14,1% 32,6% 49,3% 65,1% 79,5% 90,3% 94,4% 97,4% 99,3% 100,0% 100,0%\nOtt 2008 1,7% 15,7% 35,2% 51,7% 66,5% 79,1% 89,6% 93,7% 96,9% 99,1% 99,9% 100,0%\nSet 2008 1,8% 16,5% 37,9% 53,6% 67,1% 79,2% 89,7% 93,8% 97,2% 99,4% 100,0% 100,0%\nAgo 2008 1,6% 16,6% 38,3% 54,1% 67,6% 79,3% 89,6% 93,5% 96,9% 99,0% 99,8% 99,9%\nLug 2008 1,7% 17,2% 39,4% 54,6% 67,8% 79,2% 89,6% 93,6% 97,1% 99,3% 100,0% 100,0%\nGiu 2008 1,5% 17,0% 39,1% 54,5% 67,7% 79,2% 89,5% 93,5% 97,0% 99,2% 99,9% 100,0%\nMag 2008 1,5% 17,3% 39,6% 54,5% 67,7% 79,2% 89,5% 93,4% 97,0% 99,2% 99,9% 100,0%\nGen 2008 1,3% 16,7% 34,9% 51,2% 64,5% 76,9% 88,1% 92,4% 96,6% 99,0% 99,8% 99,9%\nOtt 2007 1,2% 8,8% 29,3% 45,4% 60,4% 74,2% 86,5% 91,4% 96,3% 99,1% 100,0% 100,0%\nSet 2007 1,1% 8,8% 29,4% 45,4% 60,3% 74,1% 86,4% 91,3% 96,2% 99,0% 99,9% 100,0%\nAgo 2007 1,1% 8,9% 29,9% 45,5% 60,4% 74,0% 86,2% 91,4% 96,2% 98,9% 99,8% 99,9%\nLug 2007 1,3% 9,4% 30,8% 46,4% 60,9% 74,0% 86,0% 91,2% 96,0% 98,9% 99,9% 100,0%\nGiu 2007 1,9% 10,9% 33,7% 49,1% 59,8% 71,5% 84,4% 89,8% 95,0% 98,6% 99,7% 99,9%\nMag 2007 2,1% 11,1% 33,3% 48,7% 59,3% 71,4% 84,2% 89,6% 95,0% 98,7% 99,9% 100,0%\nGen 2007 2,0% 11,0% 32,4% 47,0% 57,8% 70,6% 83,0% 88,6% 94,3% 98,3% 99,7% 100,0%\nOtt 2006 2,1% 11,3% 32,9% 47,2% 57,6% 70,6% 82,9% 88,6% 94,4% 98,4% 99,6% 99,9%\nSet 2006 1,9% 11,2% 32,8% 46,7% 57,4% 70,4% 82,7% 88,5% 94,3% 98,3% 99,6% 99,9%\nAgo 2006 2,1% 11,8% 33,6% 47,4% 57,5% 70,5% 82,5% 88,4% 94,3% 98,4% 99,7% 100,0%\nLug 2006 2,2% 12,0% 34,4% 47,9% 57,5% 70,3% 82,5% 88,4% 94,4% 98,6% 99,9% 100,0%\nGiu 2006 2,2% 12,1% 34,6% 47,9% 57,6% 70,4% 82,5% 88,3% 94,4% 98,6% 99,9% 100,0%\nMag 2006 2,2% 12,2% 35,3% 47,9% 57,5% 69,6% 82,2% 87,7% 94,0% 98,3% 99,6% 99,9%\nGen 2006 2,5% 12,9% 37,7% 49,9% 57,6% 69,6% 81,9% 86,7% 93,4% 98,2% 99,7% 100,0%\nOtt 2005 2,7% 13,7% 38,1% 49,2% 56,0% 68,2% 80,6% 85,8% 93,0% 98,0% 99,6% 100,0%\nSet 2005 3,1% 13,8% 38,6% 48,7% 55,5% 67,4% 79,9% 85,0% 92,6% 97,9% 99,7% 100,0%\nAgo 2005 7,6% 17,4% 34,5% 44,5% 50,9% 63,0% 76,3% 82,3% 91,6% 97,3% 99,4% 99,9%\nLug 2005 7,4% 17,0% 34,0% 44,3% 50,7% 62,8% 76,3% 82,2% 91,6% 97,3% 99,5% 100,0%\nGiu 2005 7,6% 17,5% 35,0% 44,6% 51,2% 63,6% 76,5% 82,3% 91,7% 97,3% 99,6% 100,0%\nMag 2005 8,0% 15,8% 31,9% 41,9% 48,8% 61,5% 75,6% 81,7% 91,9% 97,7% 99,6% 99,9%\nGen 2005 0,0% 8,5% 26,0% 37,0% 44,3% 57,3% 73,6% 80,9% 91,9% 98,0% 99,6% 100,0%\nOtt 2004 0,0% 10,8% 31,4% 39,2% 47,0% 60,7% 84,2% 93,0% 95,9% 98,8% 99,8% 99,8%\nOtt 2018 6.3 K 1.5 K 862 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nSet 2018 6.3 K 1.5 K 862 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nAgo 2018 6.3 K 1.5 K 861 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nLug 2018 6.2 K 1.5 K 861 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nGiu 2018 6.2 K 1.5 K 861 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nMag 2018 6.2 K 1.5 K 861 307 411 1.7 K 25 1.5 K 22 178 3 101 3\nGen 2018 6.2 K 1.5 K 858 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nOtt 2017 6.2 K 1.4 K 857 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nSet 2017 6.1 K 1.4 K 856 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nAgo 2017 6.1 K 1.4 K 856 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nLug 2017 6.1 K 1.4 K 856 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nGiu 2017 6.1 K 1.4 K 855 307 411 1.7 K 25 1.4 K 22 178 3 101 3\nMag 2017 6.1 K 1.4 K 855 307 411 1.7 K 25 1.3 K 22 178 3 101 3\nGen 2017 6.0 K 1.4 K 854 307 411 1.7 K 25 1.3 K 22 178 3 101 3\nOtt 2016 5.9 K 1.4 K 849 307 411 1.7 K 25 1.3 K 22 178 3 101 3\nSet 2016 5.9 K 1.4 K 849 307 411 1.7 K 25 1.3 K 22 178 3 101 3\nAgo 2016 5.9 K 1.4 K 849 307 411 1.7 K 25 1.2 K 22 178 3 101 3\nLug 2016 5.9 K 1.4 K 849 307 411 1.7 K 25 1.2 K 22 178 3 101 3\nGiu 2016 5.9 K 1.4 K 849 307 411 1.6 K 25 1.2 K 22 178 3 101 3\nMag 2016 5.9 K 1.4 K 849 307 411 1.6 K 25 1.2 K 22 178 3 101 3\nGen 2016 5.8 K 1.4 K 846 307 411 1.6 K 25 1.2 K 22 178 3 101 3\nOtt 2015 5.7 K 1.4 K 843 307 411 1.6 K 25 1.2 K 22 178 3 101 3\nSet 2015 5.7 K 1.4 K 843 307 411 1.6 K 25 1.2 K 22 178 3 101 3\nAgo 2015 5.7 K 1.4 K 842 307 411 1.6 K 25 1.1 K 22 178 3 101 3\nLug 2015 5.7 K 1.4 K 842 307 411 1.6 K 25 1.1 K 22 178 3 101 3\nGiu 2015 5.7 K 1.4 K 842 307 411 1.6 K 25 1.1 K 22 178 3 101 3\nMag 2015 5.7 K 1.4 K 842 307 411 1.6 K 25 1.1 K 22 178 3 101 3\nGen 2015 5.6 K 1.3 K 840 307 410 1.6 K 25 1.1 K 22 178 3 101 3\nOtt 2014 5.5 K 1.3 K 840 307 410 1.6 K 25 1.0 K 22 178 3 101 3\nSet 2014 5.5 K 1.3 K 840 307 410 1.6 K 25 1.0 K 22 178 3 101 3\nAgo 2014 5.5 K 1.3 K 840 307 410 1.6 K 25 1.0 K 22 178 3 101 3\nLug 2014 5.4 K 1.3 K 840 307 410 1.6 K 25 1.0 K 22 178 3 101 3\nGiu 2014 5.4 K 1.3 K 840 307 410 1.6 K 25 1.0 K 22 178 3 101 3\nMag 2014 5.4 K 1.3 K 831 307 409 1.6 K 25 1.0 K 22 178 3 101 3\nGen 2014 5.3 K 1.3 K 797 307 409 1.6 K 25 1.0 K 84 22 178 3 101 3\nOtt 2013 5.3 K 1.3 K 759 305 408 1.6 K 25 988 696 22 178 3 99 3\nSet 2013 5.2 K 1.2 K 729 303 408 1.6 K 25 948 374 22 177 3 98 3\nAgo 2013 5.1 K 1.2 K 726 303 406 1.5 K 25 945 437 22 177 3 98 3\nLug 2013 5.1 K 1.2 K 726 300 405 1.5 K 25 931 540 22 176 3 97 2\nGiu 2013 5.1 K 1.2 K 724 300 405 1.5 K 25 905 177 22 176 3 97 2\nMag 2013 5.0 K 1.2 K 714 300 405 1.5 K 25 850 376 22 176 3 97 2\nGen 2013 4.8 K 1.1 K 674 289 405 1.5 K 24 803 44 22 176 1 88 2\nOtt 2012 4.7 K 1.0 K 663 289 403 1.5 K 24 794 118 22 176 1 88 2\nSet 2012 4.7 K 1.0 K 660 289 402 1.5 K 24 786 58 22 176 1 88 2\nAgo 2012 4.7 K 1.0 K 660 289 402 1.5 K 24 783 66 22 176 1 88 2\nLug 2012 4.7 K 1.0 K 659 289 401 1.5 K 24 781 51 22 176 1 88 2\nGiu 2012 4.7 K 993 659 289 401 1.5 K 24 776 75 22 176 1 88 2\nMag 2012 4.7 K 977 659 289 401 1.5 K 24 771 125 22 176 1 88 2\nGen 2012 4.6 K 930 655 289 400 1.5 K 24 764 78 22 176 1 88 2\nOtt 2011 4.5 K 889 655 289 400 1.5 K 24 763 137 22 176 1 88 2\nSet 2011 4.5 K 877 655 289 400 1.5 K 24 761 128 22 176 1 88 2\nAgo 2011 4.4 K 866 655 289 400 1.5 K 24 745 157 22 176 1 88 2\nLug 2011 4.4 K 854 655 288 400 1.5 K 24 739 97 22 176 1 87 2\nGiu 2011 4.4 K 840 655 288 400 1.5 K 24 732 113 22 176 1 87 2\nMag 2011 4.3 K 831 655 288 400 1.5 K 24 731 127 22 176 1 87 2\nGen 2011 4.2 K 775 653 285 400 1.4 K 20 717 85 22 175 1 87\nOtt 2010 4.2 K 741 653 284 399 1.4 K 19 712 94 21 175 1 87\nSet 2010 4.1 K 730 653 284 399 1.4 K 19 711 71 21 175 1 87\nAgo 2010 4.1 K 713 653 282 399 1.4 K 19 704 459 21 175 1 85\nLug 2010 4.0 K 688 653 281 399 1.4 K 19 704 347 21 174 1 85\nGiu 2010 3.9 K 678 653 277 399 1.4 K 19 685 385 20 172 1 84\nMag 2010 3.8 K 665 653 275 399 1.4 K 19 657 465 20 170 1 84\nGen 2010 3.3 K 616 639 228 399 1.2 K 12 578 146 17 155 1 55\nOtt 2009 3.2 K 578 639 227 399 1.2 K 12 535 113 17 155 1 54\nSet 2009 3.2 K 568 639 226 399 1.2 K 12 524 73 17 155 1 53\nAgo 2009 3.2 K 552 639 226 398 1.2 K 12 518 244 17 155 1 53\nLug 2009 3.1 K 540 624 225 398 1.2 K 12 488 208 16 155 1 53\nGiu 2009 3.1 K 528 623 214 398 1.1 K 12 476 177 16 153 1 44\nMag 2009 3.0 K 516 623 213 398 1.1 K 12 464 221 16 152 1 44\nGen 2009 2.8 K 462 612 197 398 863 11 326 704 15 138 1 43\nOtt 2008 2.0 K 396 574 155 398 782 10 249 370 10 110 1 34\nSet 2008 1.9 K 362 573 143 398 746 10 246 300 6 105 1 31\nAgo 2008 1.9 K 338 571 139 398 738 10 245 137 5 104 1 29\nLug 2008 1.8 K 317 570 137 398 693 10 244 35 5 104 1 27\nGiu 2008 1.8 K 293 570 137 398 690 10 243 23 5 104 1 27\nMag 2008 1.8 K 263 570 137 398 689 10 243 45 5 104 1 27\nGen 2008 1.7 K 230 544 132 393 656 10 231 233 4 100 1 27\nOtt 2007 1.5 K 211 539 116 393 650 10 212 18 2 92 1 21\nSet 2007 1.5 K 205 538 116 393 650 10 212 105 2 92 1 21\nAgo 2007 1.5 K 202 538 116 388 621 10 212 270 2 92 1 21\nLug 2007 1.4 K 192 521 114 367 585 10 189 986 2 90 1 21\nGiu 2007 1.3 K 184 493 112 367 543 10 108 137 2 89 1 20\nMag 2007 1.3 K 178 489 111 353 530 10 106 15 2 89 1 19\nGen 2007 1.2 K 133 487 98 323 512 9 98 22 2 78 1 17\nOtt 2006 1.2 K 121 480 94 313 491 9 96 30 2 75 1 16\nSet 2006 1.2 K 115 480 94 313 488 9 95 67 2 75 1 16\nAgo 2006 1.2 K 106 480 92 313 477 9 83 67 2 75 1 14\nLug 2006 1.2 K 96 479 91 313 467 9 81 22 2 75 1 13\nGiu 2006 1.2 K 91 475 89 312 461 9 72 100 1 75 1 12\nMag 2006 1.1 K 85 472 85 311 439 9 70 71 1 72 1 11\nGen 2006 1.1 K 66 471 46 308 407 5 67 55 1 33 1 11\nOtt 2005 1.0 K 51 423 45 298 383 5 60 141 1 32 1 11\nSet 2005 962 44 410 37 298 361 5 53 1326 1 25 1 10\nAgo 2005 664 43 231 32 297 238 4 19 67 1 21 1 9\nLug 2005 646 39 192 30 292 232 4 19 240 1 19 1 9\nGiu 2005 557 33 180 27 264 218 3 17 257 1 16 1 9\nMag 2005 521 30 175 27 262 169 3 17 64 1 16 1 9\nGen 2005 383 14 102 23 260 119 3 16 490 14 9\nOtt 2004 190 9 45 13 47 87 1 8 853 8 5\nOtt 2004: 1 5 Hors , 2 5 Sunnandæȝ , 3 4 Polisce geþéode , 4 4 Niðerlendisc sprǣc , 5 4 Dȳfung , 6 4 Main Page , 7 3 Nīƿe Sǣland , 8 3 Gotisc sprǣc , 9 3 Crīstesmæsse , 10 3 Ælfrēd Micela , 11 3 Ǽwielm , 12 3 Wordstǣrcræft , 13 3 Gerīmbōc , 14 3 Níwe Englisce geþéode , 15 3 Hāliȝmōnaþ , 16 3 Ƿēodmōnaþ , 17 3 Wēdnesdæȝ , 18 3 Frīgedæg , 19 3 Sæternesdæg , 20 3 Þunresdæg , 21 3 Tīwesdæg , 22 2 Ƿielisc sprǣc , 23 2 Dorceceaster , 24 2 Dūfedoppa , 25 2 Ened\nGen 2005: 1 3 Foresittend þāra Ȝeānlǣhtra Rīca , 2 3 31 Þrimilcemōnaþ , 3 3 Jacques-Yves Cousteau , 4 3 11a dæȝ Ȝēolmōnaðes/ȝƿ , 5 3 Englaland , 6 3 Ænglisc spræc , 7 3 Niðerlendisc sprǣc , 8 2 Ȝeānlǣht Cynerīce , 9 2 17. Æfterran Gēolan , 10 2 Wiht (īeg) , 11 2 13 Æfterra Ȝēola , 12 2 14. Æfterran Gēolan , 13 2 15 Æfterra Ȝēola , 14 2 26 Ȝēolmōnaþ , 15 2 12. Æfterran Gēolan , 16 2 Rīdungfȳrramm , 17 2 11. Æfterran Gēolan , 18 2 10a Dæȝ Æfterran Ȝēolan/ȝƿ , 19 2 2 Hāliȝmōnaþ , 20 2 Englisc lagu , 21 2 J. R. R. Tolkien , 22 2 9 Æfterra Ȝēola , 23 2 8. Æfterran Gēolan , 24 2 Foresittend þǽm Geánlǽhtan Underrícum , 25 2 7. Æfterran Gēolan\nMag 2005: 1 1 Ucrægnisc sprǣc\nGiu 2005: 1 3 Ȝeānedu Rīcu American , 2 2 Hamor , 3 2 E Pluribus Unum , 4 2 Cippanhamm , 5 2 Langaland , 6 2 Belarus , 7 2 11. Solmōnðes , 8 2 18. Mǣdmōnðes , 9 2 Gandis , 10 2 30 Æfterra Ȝēola , 11 2 18 Æfterra Ȝēola , 12 2 17. Æfterran Gēolan , 13 2 16. Æfterran Gēolan , 14 2 13 Æfterra Ȝēola , 15 2 14. Æfterran Gēolan , 16 2 15 Æfterra Ȝēola , 17 2 26 Ȝēolmōnaþ , 18 2 12. Æfterran Gēolan , 19 2 11. Æfterran Gēolan , 20 2 10a Dæȝ Æfterran Ȝēolan/ȝƿ , 21 1 Ƿikipǣdia\nLug 2005: 1 3 Rīdungfȳrramm , 2 3 Canada , 3 3 George W. Bush , 4 2 Getalu ambihtlicra sprǣca , 5 2 Þēodscland , 6 2 Ēastrīce , 7 2 Ȝeānedu Rīcu American , 8 1 Dēaðas in 2005. gēare\nAgo 2005: 1 2 Tygelwīg , 2 2 Beadu be Culme , 3 2 Þēodscland , 4 2 Nīƿu Englisc sprǣc , 5 1 Franclandes Foresittend\nSet 2005: 1 4 Wēdnesdæȝ , 2 3 Irac , 3 3 Adolf Hitler , 4 3 Stefan Raab , 5 3 Gænt , 6 3 Rīdungfȳrramm , 7 3 Jacques-Yves Cousteau , 8 3 Wōden , 9 3 Dȳfung , 10 2 Sundorrīcesdæg , 11 2 Pāpa , 12 2 Beadu Hǣstingum , 13 2 Cwatbrycg (Scrobbesbyrgscīr) , 14 2 Arizona , 15 2 Hēafodtramet , 16 2 Cuscan Rīce , 17 2 William McKinley , 18 2 Ōðru Ƿoruldgūþ , 19 2 Franclandes Foresittend , 20 2 Tygelwīg , 21 2 6 (getæl) , 22 2 Lundavāgr , 23 2 Getalu īega be landware , 24 2 Engel , 25 2 Uranus\nOtt 2005: 1 2 Ninus , 2 2 Æðelbald West-Seaxna Cyning , 3 2 Stǣrlice ȝemynddagas , 4 1 Autaugaville, Alabama\nGen 2006: 1 2 Nīƿu Englisc sprǣc , 2 1 Ƿikipǣdia\nMag 2006: 1 2 Saint-Dié-des-Vosges , 2 2 Hēafodtramet , 3 1 Westmannland\nGiu 2006: 1 2 Nīwu Gecȳþnes , 2 2 Nīwu Cȳðnes , 3 2 Canada , 4 2 Dȳfung , 5 1 Ōsȝeard\nLug 2006: 1 2 Jacksonville, Florida , 2 1 Ȝeānlǣht Cynerīce\nAgo 2006: 1 2 Folcrīcelicu Cyneƿīse þæs Congƿes , 2 2 Ostsǣ , 3 2 Hēafodtramet , 4 2 Sƿēoland , 5 1 Ȝeānlǣht Cynerīce\nSet 2006: 1 2 Italisc sprǣc , 2 2 Wiltūnscīr , 3 2 Bryttisce Rīce , 4 1 Ƿikipǣdia\nOtt 2006: 1 2 Spēonic sprǣc , 2 2 Hēafodtramet , 3 2 Ænglisc spræc , 4 1 Spéonisc sprǽc\nGen 2007: 1 1 Ƿīf\nMag 2007: 1 1 Woruldlicu wearmung\nGiu 2007: 1 2 Rōm , 2 2 Ungerland , 3 2 Īrland Cynewīse , 4 2 Montǣna , 5 2 Ériu , 6 2 Ōðru Ƿoruldgūþ , 7 2 Francland , 8 1 Ƿikipǣdia\nLug 2007: 1 3 Fresisc sprǣc , 2 3 Belgice , 3 2 Folcmorðor , 4 2 Se Fēolagascipe þæs Hringes , 5 2 Mǣdmōnaþ 2007. , 6 2 Wēodmōnaþ 2006 , 7 2 Harrogætes hord , 8 2 Eallbærnet , 9 2 Ēastrīce-Ungerland , 10 2 Spell Tƿēȝra Burga , 11 2 Þēowdōm , 12 2 Sƿeartbeorg , 13 2 Lǣden , 14 2 17 Ȝēolmōnaþ , 15 2 Sundorrīcesdæg , 16 2 Estland , 17 2 Hēafodtramet , 18 2 1. Blōtmōnðes , 19 2 Norðamerica , 20 2 Nigeria , 21 2 Kylie Minogue , 22 2 Libia , 23 2 Gænt , 24 2 J. R. R. Tolkien , 25 2 Ēastrīce\nAgo 2007: 1 3 Þēodscland , 2 2 Grēate Bryten Cynerīce , 3 2 Ācweorna , 4 2 Īsbeorg , 5 2 Cliferfētedēor , 6 2 Elpend , 7 2 Bēda , 8 2 Rōƿrenoc, Virginia , 9 2 Æsc , 10 2 Catte , 11 2 Þrittiggēara Orlege , 12 2 Bryttisce Rīce , 13 2 Bill Gates , 14 2 Cuscan Rīce , 15 2 Feorrsīen , 16 1 Ȝeānlǣht Cynerīce\nSet 2007: 1 1 Crabba (steorra)\nOtt 2007: 1 3 Ȝeānlǣht Cynerīce\nGen 2008: 1 2 Diablo (gamen) , 2 2 World of Warcraft , 3 2 Sƿissland , 4 1 Botsƿana\nMag 2008: 1 3 Europe , 2 2 Ƿikipǣdia , 3 2 Coscurita , 4 2 Ȝeānlǣht Cynerīce , 5 2 Land þǣre worulde , 6 2 Spēonland , 7 2 5 , 8 2 6\nGiu 2008: 1 3 John Ashcroft , 2 1 Vilnius\nLug 2008: 1 2 Carl Micela Francena Cyning , 2 1 Sƿēonisc sprǣc\nAgo 2008: 1 2 Þēodscland , 2 1 Silesisc sprǣc\nSet 2008: 1 3 Louvre , 2 2 Sasha Cohen , 3 2 Scīr , 4 2 Oxnafordscīr , 5 2 Oxanfordscīr , 6 2 Fif Scīr , 7 2 Oklahoma , 8 2 Englisc spræc , 9 2 Englisce sprǽc , 10 2 Īrland/ȝƿ , 11 1 Sweoland\nOtt 2008: 1 3 Geþingedōm , 2 2 Cumbraland/ȝƿ , 3 2 Westmoringaland , 4 2 Cent , 5 2 ᚹᚩᛞᛖᚾᛁᛝ , 6 2 ᚱᚩᚪᚾᚩᛣᛖ, ᚢᛁᚱᚷᛁᚾᛁᚪ , 7 2 Profentse , 8 2 Deorabyscīr , 9 2 Willelm Scacaspere , 10 2 Ƿaneting , 11 2 Dēorabyscīr , 12 2 Dēoraby , 13 2 Geþingdom , 14 2 Geþingdōm , 15 2 Orcanege , 16 2 Tamer , 17 2 Berewicscīr , 18 2 Australisc rīce , 19 2 Australia , 20 2 Persealand , 21 2 Scīra þæs Geānedan Cynerīces , 22 2 Huntandūnscīr , 23 1 Ƿikipǣdia\nGen 2009: 1 5 Scotland/ȝƿ , 2 3 Barack Obama , 3 3 Tæfl , 4 3 Lunden Ēage , 5 3 Australisc rīce , 6 3 Hēafodtramet , 7 3 Īrland/ȝƿ , 8 2 Edward Braddock , 9 2 Þrēotīene Landbūnessa , 10 2 Manisc sprǣc , 11 2 Horshwæl , 12 2 Alberta , 13 2 Sæterlendisc , 14 2 Melita , 15 2 Fylfōt , 16 2 Landbūnes , 17 2 Buddendōm , 18 2 Beorneslēah , 19 2 Victory (scip) , 20 2 Horatio Nelson , 21 2 Ætla , 22 2 Perþ (Australia) , 23 2 Blēobord , 24 2 Nīwe Sūþwealas , 25 2 Ceroke sprǣc\nMag 2009: 1 2 Cynn Scī Huang , 2 2 Simeon Varlamov , 3 2 Phong Nha-Ke Bang , 4 2 Nīƿeoforƿīcburg , 5 2 Wassingatūn, D.C. , 6 2 Westvirginia , 7 2 Nebraska , 8 2 Norþcarolīna , 9 2 Pennsyluānia , 10 2 Louisiāna , 11 2 Nīwe Eoforwic\nGiu 2009: 1 3 Barack Obama , 2 2 Māorisc sprǣc , 3 2 Antarctica , 4 2 Ēadgar Æðeling , 5 2 Constontinus I Scotta Cyning , 6 2 Rēadgrot mid flīetan , 7 2 Crēacisc sprǣc , 8 2 Bismarck (Norþdakota) , 9 2 Scearseax , 10 1 Brecenanmere\nLug 2009: 1 3 Nīwe Cēsarēa , 2 2 Cesena , 3 2 Pulgare , 4 2 Pennsyluania , 5 2 Hwæsingatūn, D.C. , 6 2 Virginia , 7 2 Vermont , 8 2 Eþna , 9 2 Huang Siānfan , 10 2 1865 , 11 2 Nīwu Hāmtūnscīr , 12 2 Wēodmōnaþ , 13 2 West Uirginia , 14 2 Wassingatūn, D.C. , 15 2 Wassingatūn , 16 1 Ƿikipǣdia\nAgo 2009: 1 2 Musée d'Orsay , 2 2 Loidis , 3 2 Boston Breakers , 4 2 Lēo , 5 2 Willelm Scacaspere , 6 2 Leaves' Eyes , 7 2 Gyldfōtþōðer , 8 2 Crīstendōm , 9 2 Eald Corēa , 10 2 Iowa , 11 2 Illinois , 12 1 Maria Scotta Cwēn\nSet 2009: 1 3 Stæffordscīr hord , 2 2 Wu-Tang Clan , 3 2 Quebec , 4 1 Beormingas\nOtt 2009: 1 3 Christopher Columbus , 2 2 Barack Obama , 3 2 Catte , 4 2 Michigan , 5 1 Offa Miercna\nGen 2010: 1 3 Brægen , 2 2 Hūna Rīce , 3 2 Seolfor , 4 2 Henn , 5 2 Adolf Hitler/ȝƿ , 6 2 Napoleon I Francena Cāsere , 7 2 Barack Obama , 8 2 Stēamƿæȝn , 9 2 Nīwe Sǣland , 10 1 Catalan Byht\nMag 2010: 1 3 Hēafod , 2 3 Cynn Scī Huang , 3 3 Indea , 4 3 Feorrsīen , 5 2 Æppalæcianisc Englisc , 6 2 Predore , 7 2 Byrddæg , 8 2 Selffērende wægn , 9 2 Fisc , 10 2 Aucland , 11 2 Oxnaford Englisc Wordbōc , 12 2 Wæterdraca , 13 2 Godhopa , 14 2 Good Monsters , 15 2 Rædwald Ēastengla Cyning , 16 2 Picilemo , 17 2 Weolingtūn (Nīwe Sǣland) , 18 2 Canberra , 19 2 Niðerseaxland , 20 2 Tu Fu , 21 2 Middelseaxe , 22 2 Sūþseaxe , 23 2 Nīwe Sǣland , 24 2 Middelseaxe/ȝƿ , 25 2 Difelin\nGiu 2010: 1 3 John Key , 2 3 Tansania , 3 3 Norþīg , 4 2 Plato , 5 2 Cōcnearuness , 6 2 Sūþīeg , 7 2 Iacobus Cōc , 8 2 Tahitīeg , 9 2 Nazi , 10 2 Pitcearnīega , 11 2 Pagetbeorg , 12 2 Sansibar , 13 2 Leahtric , 14 2 Gēar , 15 2 Handfisc , 16 2 Alpis , 17 2 Sancte Elene Īeg , 18 2 Ēotaland , 19 2 Gelēaflēasnes , 20 2 Tuidi , 21 2 Swēoland , 22 2 Uetersen , 23 2 Finnland , 24 1 Holocaust\nAgo 2010: 1 2 Ƿikipǣdia , 2 2 Coronel Fabriciano , 3 2 Wæstm , 4 2 Sǣ , 5 2 Wynton Rufer , 6 2 2009–10 NHL tīma , 7 2 2010 WPS tīma , 8 2 Isaac Newton , 9 2 Brian Jacques , 10 2 Windows Mobile\nSet 2010: 1 6 Iapan , 2 2 Englisc folc/ᚱᚢᚾ , 3 2 Hƿæsingatūn , 4 1 Luel\nOtt 2010: 1 3 Afghanistan , 2 3 Hwīt Draca , 3 2 Sōþ Iesus Cirice/ᚱᚢᚾ , 4 2 Lyfthelm , 5 2 Sōþ Iesus Cirice , 6 2 Polaland\nGen 2011: 1 3 Kea , 2 2 Brycgāðexe , 3 2 Crīstcirice , 4 2 Bleohfugol , 5 1 Wuduhen\nMag 2011: 1 3 Gelocen boge , 2 3 Hēafod , 3 2 Weald , 4 2 Angola , 5 2 Ȳþrīdung , 6 1 Socrates\nGiu 2011: 1 4 Caribisc Sǣ , 2 2 Talcawano , 3 2 Conþepþeon , 4 2 Blōd , 5 2 Slofenia , 6 2 Sōlate , 7 2 Tāprabane , 8 1 Ƿikipǣdia\nLug 2011: 1 4 Sūþsudan , 2 2 Esperanto , 3 2 Scield , 4 2 Folcland Īegland , 5 2 Dubai , 6 2 Cartaina , 7 1 Maðante\nAgo 2011: 1 2 Spearctellplega , 2 2 Bēda , 3 2 Hēafodtramet , 4 2 Ȝerinnunȝ , 5 2 Īsland , 6 1 Dūnhēafod\nSet 2011: 1 2 Mexicoburg , 2 2 Paraquaria , 3 2 Æðmlyft , 4 2 Libia , 5 2 Ȝerinnunȝ , 6 1 Frencisc Guiana\nOtt 2011: 1 3 Swǣfisc cnotta , 2 2 Eormengyld Ciles , 3 2 Eormengyld Biobiwes , 4 2 Troms , 5 2 Carl XVI Gustaf Swēona Cyning , 6 1 Gingifer\nGen 2012: 1 4 Ȝeānedu Rīcu American , 2 2 Lugo , 3 2 Dūstdrenc , 4 2 Sīensearu , 5 2 Monica Iozzi , 6 2 Iacub Colas , 7 2 Geanca Cupala , 8 2 Google , 9 1 Būr\nMag 2012: 1 3 Dinegisc sprǣc , 2 2 Toshiro Mifune , 3 2 Windows 8 , 4 2 Persisc Sǣ , 5 2 Marianburg , 6 2 Midwearme geardas , 7 2 Willelm Scacaspere , 8 2 Swīnmūþa , 9 2 Russland , 10 2 Ægypt , 11 2 Englaland , 12 1 Camila Morgado\nGiu 2012: 1 2 Ƿikipǣdia , 2 2 Hēahland , 3 2 Galatasaray\nLug 2012: 1 2 Cīna , 2 2 Morocco , 3 1 Ƿikipǣdia\nAgo 2012: 1 2 Apaxco , 2 2 Mængo , 3 2 Botswana , 4 2 Ratchet & Clank , 5 2 Kosovo , 6 1 Mahomet\nSet 2012: 1 2 Afghanistan , 2 2 Genf , 3 2 Armenia , 4 2 Baius tæpped , 5 1 Sogn og Fjordane\nOtt 2012: 1 2 Portuguese , 2 2 Sundorricehad , 3 2 Scēaþ , 4 2 Afen , 5 2 Iosep Stalin , 6 2 Cnihtas þæm Temple , 7 2 26 Ȝēolmōnaþ , 8 2 Sæternesdæg , 9 1 Sundorrīcehād\nGen 2013: 1 3 Dweligende tungol , 2 2 Hēafodtramet , 3 1 Dewellend steorra\nMag 2013: 1 3 Byrig þāra Geāndena Rīca , 2 2 Wyrt , 3 2 Searucræft , 4 2 Mot , 5 2 Æppel , 6 2 Campwægn , 7 2 Hwerhwette , 8 2 Charleston (Westvirginia) , 9 2 Ofersǣwisc rind , 10 2 Āte , 11 2 Hwǣte , 12 2 Corn , 13 2 Nīwenglisc sprǣc , 14 1 Englisc folc\nGiu 2013: 1 3 Montpelier on Uermonte , 2 2 Mǣþ , 3 2 Anggun , 4 2 Maywood, Illinois , 5 2 Iscimbag , 6 2 Jackson (Mississippi) , 7 2 Nīweoforwīcburg , 8 2 Cheyenne (Wyoming) , 9 2 Boise , 10 2 Moscow , 11 2 Concord (Nīwu Hāmtūnscīr) , 12 2 Harrisburg , 13 1 Hēafodsīde\nLug 2013: 1 3 Europisce Gesamnung , 2 2 Georgius Grantanbrycge Æþeling , 3 2 Willelm Heretoga of Grantanbrycge , 4 2 Park Jung-yang , 5 2 Fucgi Beorg , 6 2 Fūjī Beorg , 7 2 John Clare , 8 2 Coritiba Foot Ball Club , 9 2 Mahomet , 10 2 Don Quijote , 11 2 Angelfresisca sprǣca , 12 2 Lordi , 13 2 Alladōm , 14 2 Americanisce Ingefeoht , 15 2 Sealterisc sprǣc , 16 2 Drēag (Fūdū) , 17 2 Īslendisc sprǣc , 18 2 Wīnland , 19 2 Sofiet Gesamnung , 20 2 Nīwenglisc sprǣc , 21 2 Þunor , 22 2 Germanisc Hǣðenscipe , 23 2 Catalan sprǣc , 24 2 Portuglisc sprǣc , 25 2 Wiht (wist)\nAgo 2013: 1 3 Ealdseaxisc sprǣc , 2 2 Heofon , 3 2 Taiwan (īeg) , 4 2 Sung Jae-ki , 5 2 Eormengyld ''Guglielmo Marconi'' , 6 2 Eormengyld Niccolò Cusano , 7 2 Universidad de Santiago de Chile , 8 2 Universidad Mayor , 9 2 Eormengyld Finis Terrae , 10 2 Universidad del Desarrollo , 11 2 Universidad de los Andes (Cile) , 12 2 Universidad de Concepción , 13 2 Eormengyld Ciles , 14 2 Grover Cleveland , 15 2 Conþepþeon , 16 2 Barack Obama , 17 2 Sciþþisc īsmægden , 18 2 Nīwenglisc sprǣc , 19 2 1984 (bōc) , 20 1 Gēol\nSet 2013: 1 3 Ægleswurþ , 2 2 World Trade Center , 3 2 Utrecht , 4 2 Antwerpen , 5 2 GNOME , 6 2 Linux (cyrnel) , 7 2 Ealdseaxisc sprǣc , 8 2 Paper , 9 2 Rīmagiefung , 10 2 Google , 11 2 Swēonisc sprǣc , 12 2 Portal:Innung/Cynd heafod , 13 2 Portal:Contents/Types header , 14 2 Margaret Waters , 15 2 Westgermanisca sprǣca , 16 2 George Washington , 17 2 Europe , 18 2 Niðerland , 19 1 One World Trade Center\nOtt 2013: 1 3 Nonne Etone , 2 3 Leslie E. Robertson , 3 3 4 World Trade Center , 4 3 Engel , 5 2 Stānhencg , 6 2 The Narrative , 7 2 Oresundes brycg , 8 2 Cofentreo , 9 2 David Rockefeller , 10 2 Rockefeller Center , 11 2 2 World Trade Center , 12 2 7 World Trade Center , 13 2 One World Trade Center , 14 2 Woruldhandelstede , 15 2 World Trade Center , 16 2 Linux (cyrnel) , 17 2 Patricia Grace , 18 2 Steve Jobs , 19 2 Eorþbeofung , 20 2 Nīwe Scotta Ēaland , 21 2 Meodu , 22 2 IPad , 23 2 Snāw , 24 2 Spearwa , 25 2 Ofergewiht\nGen 2014: 1 2 Bukan , 2 2 Elworuldontygenes , 3 2 Utrecht , 4 2 Niðerseaxisc sprǣc , 5 1 Hascemisce Cynerīce þæs Iordanes\nMag 2014: 1 5 Australia , 2 3 Sung Jae-ki , 3 3 Mahomet , 4 3 Þ , 5 3 Massachusetts , 6 2 Īsenhamstede , 7 2 Azeri sprǣc , 8 2 Friedrich Nietzsche , 9 2 Utrecht , 10 2 Ȳþrīdung , 11 2 Seaxe , 12 2 Tyrcland , 13 2 Westerne Australia , 14 2 Atlanta , 15 2 Mearhsēaw , 16 1 Србија\nGiu 2014: 1 2 Micel Ficgīeg , 2 2 Gotan , 3 2 Vladimir Putin , 4 2 Smiþþfeld, Lunden , 5 2 Anastacia , 6 2 Sūþsudan , 7 2 Ƿ , 8 2 Crabba (steorra) , 9 2 Cucler , 10 1 Oxnaford Eormengyld\nLug 2014: 1 2 Augustus , 2 2 Sydney , 3 2 Puilla , 4 2 Dave Dobbyn , 5 2 Eye of Odin , 6 2 Hēahdēmere þāra Geāndena Rīca American , 7 2 Israhēl , 8 1 Scyttisc Englisc sprǣc\nAgo 2014: 1 4 Curitiba , 2 4 Wiht (īeg) , 3 3 François Asselineau , 4 3 Mahomet , 5 3 Ucrægna , 6 2 Lundene Foreweard (1839.) , 7 2 Roger Federer , 8 2 Scrobbesburh , 9 2 Visokoi-īeg , 10 2 Nīweoforwīcburg , 11 2 Yfelland Ƿeard\nSet 2014: 1 2 Pulgaraland , 2 2 Mosambice , 3 1 François Asselineau\nOtt 2014: 1 3 François Asselineau , 2 2 Eormengyld Juraj Dobrila on Pula , 3 2 Amol , 4 2 Sand , 5 2 Rīm , 6 2 Spēonland , 7 2 Wulf\nGen 2015: 1 3 Orosius , 2 2 H. G. Wells , 3 2 Rædwald Ēastengla Cyning , 4 2 Lægreceastrescīr , 5 2 Appaim\nMag 2015: 1 3 Gujarat , 2 2 Teresa Cristina Brasil Cāserin , 3 2 Stǣr , 4 1 Marijuana\nGiu 2015: 1 2 Tōkyō , 2 2 Rōmānisc Cynewīse , 3 2 Taylor Swift , 4 2 Barack Obama\nLug 2015: 1 3 Pluto , 2 2 Pharnavazingas , 3 2 François Asselineau , 4 1 Alliance Royal\nAgo 2015: 1 2 Karim Findi , 2 2 Nigeria , 3 1 Cirgisstan\nSet 2015: 1 2 Faroisca Īega , 2 1 Horotigaland\nOtt 2015: 1 2 Grundgesetnes Dæg on Liþuanie , 2 2 Gewinn of 1812 , 3 2 Wascisc Land , 4 2 Georges Pompidou , 5 2 Castel Goffredo , 6 2 Wascas , 7 1 Ǣgyptus\nGen 2016: 1 3 Niðerlendisc sprǣc , 2 2 Uruquaria , 3 2 Hwæsingatūn , 4 2 Vermont , 5 2 Wisconsin , 6 2 Texas , 7 2 Tennessee , 8 2 Indiǣna , 9 1 Lēo Hlāford Wǣponcyning\nMag 2016: 1 2 Georgia (land) , 2 2 Engla Cyning , 3 1 Gyanendra Nepal Cyning\nGiu 2016: 1 4 Dufenal Trump , 2 2 Tōkyō , 3 1 Arequipa\nLug 2016: 1 2 Taylor Swift , 2 1 Crēaca Cyning\nAgo 2016: 1 4 Englaland , 2 1 Anglo-Saxon\nSet 2016: 1 2 Cile , 2 2 Portugal , 3 2 Finnland , 4 1 Belīs\nOtt 2016: 1 2 Gemǣne Rīca of Australie , 2 2 Harold Gōdwines sunu , 3 2 Polaland , 4 1 Estisc gereord\nGen 2017: 1 2 Ferdinand Marcos , 2 1 Iacobusīeg\nMag 2017: 1 4 Norþcorēa , 2 2 Nintendo Switch , 3 2 Šiprage , 4 2 Snægel , 5 1 Middangeard\nGiu 2017: 1 2 Base64 , 2 2 Sēofen and twentigoþa Gebētung þære Grundgesetnesse þāra Geānedra Rīca American , 3 1 Norþwesterne Landscipas\nLug 2017: 1 3 Tyrcland , 2 1 Konrad Adenauer\nAgo 2017: 1 2 Pintel , 2 2 Russland , 3 1 Fīfandtwēntiġoþe Ġebētung tō þǣre Ġesetednesse þāra Ġeānedra Landa\nSet 2017: 1 2 Pintel , 2 2 Þēodscland , 3 1 Heortæppel\nOtt 2017: 1 3 Norþweg , 2 2 Wulfpersoc , 3 2 Þēodscland , 4 1 Martin Luther\nGen 2018: 1 2 Geatnaburg , 2 2 Rætswīn , 3 1 Sinhale\nMag 2018: 1 3 Swētu eorþperu , 2 2 Henric Æþeling Sūþseaxna Heretoga , 3 2 Psilocybe mexicana , 4 2 IPhone (1st generation) , 5 2 Butt plug , 6 2 Sambucus\nGiu 2018: 1 2 Romain Garnier , 2 2 11. Gēolmōnþes , 3 2 Smith & Wesson 500 , 4 2 George W. Bush , 5 1 Rūna\nLug 2018: 1 1 Mandiraja\nAgo 2018: 1 3 Hēafodtramet , 2 2 Gwyneth Paltrow , 3 2 Ostre , 4 2 Biliþ and lēoþcræft , 5 2 Flēogeball , 6 2 Cynelica Sciphere , 7 2 Brocc , 8 2 Sōþ Iesus Cirice , 9 2 J. R. R. Tolkien , 10 2 Æðelinga īg , 11 1 Joynagar\nSet 2018: 1 2 .sd , 2 2 Offenbach , 3 2 Mandiraja , 4 2 Stettin , 5 1 Cabūl\nOtt 2018: 1 2 Cardiff , 2 2 São Paulo , 3 1 Sarawak Brego


candle holders for fireplace mantel – ukrailways.info\ncandle holders for fireplace mantel fireplace candle holder fireplace candle holders candles in fireplace candles fireplace candle holders mantel best images tall candle holders for fireplace mantel.\ncandle holders for fireplace mantel tall candle holders by fireplace candle stand for fireplace fireplace candle holder fireplace candle holder candles pillar candle holders for fireplace mantel.\ncandle holders for fireplace mantel candle pillar candle holders for fireplace mantel.\ncandle holders for fireplace mantel fireplace candles candle fireplace candles in fireplace by favored candle fireplace mantel fireplace candles amazon fireplace candles candle holders fireplace mante.\ncandle holders for fireplace mantel candle holders for inside fireplace holder r awesome candles cute home designs inspired pillar mantel candle holders for inside fireplace candle holders fireplace m.\ncandle holders for fireplace mantel fireplace mantel candle holders candles for fireplace candle holders fireplace mantel.\ncandle holders for fireplace mantel candle stand for fireplace mantle holders tall mantel pottery barn holder candle stand for fireplace mantle holder tall candle holders for fireplace mantel.\ncandle holders for fireplace mantel image of fireplace candle holder display tall candle holders for fireplace mantel.\ncandle holders for fireplace mantel candle holder fireplace fireplace candle holder fireplace candle holders holder black wrought iron candelabra doors with candle holder fireplace tall candle holders.\ncandle holders for fireplace mantel candle fireplace insert candle holders for fireplace hearth candle holders for fireplace hearth candle holders for candle holders fireplace mantel.\ncandle holders for fireplace mantel candles for fireplace mantel pillar candle holders s candle holders fireplace mantel.\ncandle holders for fireplace mantel mantle candle holder long candle tray candle holder candle tray centerpiece mantle candle tray succulent wrought mantle candle holder pillar candle holders for fire.\ncandle holders for fireplace mantel candle holders for fireplace candle holders fireplace mantel.\ncandle holders for fireplace mantel fireplace mantel candle holders pillar candle holders for fireplace mantel.\ncandle holders for fireplace mantel login sign up to download candle holders fireplace mantel.\ncandle holders for fireplace mantel smooth ceiling living room rustic with fireplace mantel glass pillar pillar candle holders for fireplace mantel.\ncandle holders for fireplace mantel fireplace candelabra candle holders for fireplace mantel fresh decorating fireplace candelabra fireplace mantel candle holders fireplace tall candle holders for fir.\ncandle holders for fireplace mantel candle holder fireplace 1 of 2 black candelabra candle holder long fireplace wedding table centerpiece pillar candle holder fireplace tall candle holders for firepl.\ncandle holders for fireplace mantel fireplace candle holder fireplace candle ideas fireplace candle ideas candle ideas fireplace lighting fireplace candle holder candle holders fireplace mantel.\ncandle holders for fireplace mantel candle holders for inside fireplace fireplace candle holder plain decoration for holders candle holders for fireplace candle holders for inside fireplace pillar can.\ncandle holders for fireplace mantel mantle candle holder mantle candle holder shabby chic french candle holders wedding table centerpiece shabby chic tall candle holders for fireplace mantel.\ncandle holders for fireplace mantel stone replace mantel shelf shelves for mantels with candle holders and faux also wood cast candle holders fireplace mantel.\ncandle holders for fireplace mantel mantle candle holder home tall candle holders for fireplace mantel.\ncandle holders for fireplace mantel homey ideas candles for fireplace mantel decorative non working fireplaces mantels house tall candle holders fireplace mantel.\ncandle holders for fireplace mantel set of 3 aspen wood candle holders rustic centerpiece home decor table centerpiece pillar candle holders for fireplace mantel.\nCabinets With Glass Knobs →