g stands for on - base average in baseball stats.
g stands for on - base average in baseball stats.
what does g stand for in baseball stats?
on - base average
bullet::::- june 6, 2006: jeff samardzija was drafted by the cubs in the 5th round (149th overall) of the 2006 major league baseball draft.









































section::::player stats.









































section::::player stats.:batting.









































section::::player stats.:batting.:starters by position.









































"note: pos=position; g=games played; ab=at bats; h=hits; avg.=batting average; hr=home runs; rbi=runs batted in"









































section::::player stats.:batting.:other batters.









































"note: g=games played; ab=at bats; h=hits; avg.=batting average; hr=home runs; rbi=runs batted in"









































section::::player stats.:pitching.









































section::::player stats.:pitching.:starting pitchers.









































"note: g=games pitched; ip: innings pitched; w=wins; l=losses; era=earned run average; so=strikeouts"









































section::::external links.









































bullet::::- 2006 chicago cubs









































bullet::::- 2006 chicago cubs schedule









































section::::references.









































bullet::::- game logs:









































bullet::::- 2006 batting statistics on espn.com
2006 chicago cubs season
when eisen lived in tennessee he worked as a play-by-play announcer for a minor league baseball team, the columbia mules. he is a self-proclaimed red sox fanatic. he and computational biologist, james fraser recorded a video for ibiology about the role baseball statistics influenced their research. their argument is that sequencing dna is similar to scoring a baseball game, and that many computational biologists learned to think about science computations from an obsessive interest in baseball stats. the exercise of comparing a specific player's stats to a database of other similar players allows a baseball fan to predict future performance. this same system works with proteins and predicting functions. as tools are developed that break down and track all stats concerning baseball players, so will technology improve with genetics. with both baseball and genetics, tools are being developed that refine the models. in a lecture in 2015, eisen stated that he received a computer from his grandfather for his twelfth birthday and spent the next five years teaching himself how to program so that he could keep track of baseball stats.
michael eisen