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American League Central · 2012

Chicago White Sox 2012

Team WAR
29.6
18.2 bat / 11.5 pitch
Win %
.525
pyth .546
Run diff
+72
4.62 / 4.17 per g
wRC+
97
ERA
4.07
FIP 4.25
Home runs
219

The Chicago White Sox went 85-77 in 2012, a .525 winning percentage — 14th of 30 record in baseball. They scored 748 runs and allowed 676, a run differential of +72. The offence ranked 7th of 30 in MLB for runs scored, while their 4.07 staff ERA was 18th of 30. Their 97 team wRC+ was 3% below league average — 19th of 30 in MLB. A.J. Pierzynski led the position players at 4.0 WAR, and Chris Sale the rotation at a 3.05 ERA.

The 2012 season

Month by month, the streaks, and the record in the games that are argued about.

They finished 2nd in the AL Central, 3 games back. They spent 114 of 181 days in first place, led by as many as 3.5 games on June 29 and were as far as 5 games back on May 7. Their best month was May at 18-11, their worst Sept/Oct at 13-18. The longest runs were a 9-game winning streak from May 23 to June 1 and a 5-game losing streak from April 24 to April 28. They were 45-36 at home and 40-41 on the road, 26-21 in one-run games and 33-39 against clubs that finished .500 or better. The most lopsided win was 19-2 against the Rangers on July 3; the heaviest defeat, 12-3 against the Cubs on June 18.

Record by month. March games count toward April, October’s toward September.
MonthWLPctRSRADiff
March/April1111.5008582+3
May1811.621156122+34
June1314.481125118+7
July1411.560124108+16
August1612.571128118+10
Sept/Oct1318.419130128+2
Splits. Extra innings are blank for a season whose games predate the innings count.
GamesW-LPct
Home45-36.556
Road40-41.494
One-run games26-21.553
Extra innings5-9.357
Within the division37-35.514
Against .500+ clubs33-39.458
Decided by 5+ runs26-16.619
Last 104-6.400

American League Central standings, 2012

Final standings. The division page has the rest of its season.

American League Central, 2012. Games back of the best record in the division.
TeamWLPctGBRSRADiffWAR
Detroit Tigers8874.543—726670+5641.7
Chicago White Sox8577.5253748676+7229.6
Kansas City Royals7290.44416676746-7026.1
Cleveland Indians6894.42020667845-17821.4
Minnesota Twins6696.40722701832-13119.9

2012 Chicago White Sox roster

The players whose season belongs to this club, by position and then by dbWAR. A player traded mid-season is listed with the club he played most of his games for, so a deadline arrival may appear on his other club’s page instead.

Catchers 3

Infielders 8

Outfielders 6

Designated hitters 2

Starting pitchers 8

Relief pitchers 13

Where the offence comes from

Roster contribution by share of the team total.

1,479 team hits
Alex Rios184Alex Rios — 184 hits (12.4%)Paul Konerko159Paul Konerko — 159 hits (10.8%)Alexei Ramirez157Alexei Ramirez — 157 hits (10.6%)Alejandro De Aza147Alejandro De Aza — 147 hits (9.9%)A.J. Pierzynski133A.J. Pierzynski — 133 hits (9.0%)Dayan Viciedo129Dayan Viciedo — 129 hits (8.7%)Gordon Beckham123Gordon Beckham — 123 hits (8.3%)Adam Dunn110Adam Dunn — 110 hits (7.4%)Kevin Youkilis103Kevin Youkilis — 103 hits (7.0%)Dewayne Wise58Dewayne Wise — 58 hits (3.9%)Orlando Hudson53Orlando Hudson — 53 hits (3.6%)29Tyler Flowers — 29 hits (2.0%)Escobar28Eduardo Escobar — 28 hits (1.9%)Brent Morel20Brent Morel — 20 hits (1.4%)15Jordan Danks — 15 hits (1.0%)Ray Olmedo — 10 hits (0.7%)Dan Johnson — 8 hits (0.5%)7Kosuke Fukudome — 7 hits (0.5%)5Hector Gimenez — 5 hits (0.3%)Philip Humber — 1 hits (0.1%)
Each rectangle is a player, sized by his share of the team's hits; darker means a larger share. Top 30 contributors. Select a different statistic above, or click a player for his page.

Batting

25 players, ranked by dbWAR.

A.J. PierzynskiC13552013327770.278.326.501.3561164.0
Alex RiosRF157640184259123.304.334.516.3661233.4
Alejandro De AzaCF13058514795026.281.349.410.3371042.9
Paul Konerko1B14459815926750.298.371.486.3751292.8
Adam DunnDH15164911041962.204.333.468.3521142.0
Kevin Youkilis3B12250910319600.235.336.409.3321011.8
Gordon Beckham2B14958212316605.234.296.371.298800.7
Dewayne WiseCF742395883019.259.293.429.314900.7
Alexei RamirezSS15862115797320.265.287.364.285710.7
Dan JohnsonDH14318360.364.548.818.5592460.7
Tyler FlowersC46153297132.213.296.412.315900.6
Dayan ViciedoLF14754312925780.255.300.444.326970.5
Hector GimenezC5115010.455.455.455.4031460.1
Philip HumberP251010.200.200.200.17720.0
Jose QuintanaP250000.000.250.000.17510.0
Gavin FloydP110000.000.000.000.000-111-0.0
John DanksP130000.000.000.000.000-111-0.0
Chris SaleP130000.000.000.000.000-111-0.0
Jake PeavyP250010.000.000.000.000-111-0.0
Ray Olmedo3B154210010.244.244.293.23640-0.2
Jordan DanksLF317515143.224.280.284.25552-0.2
Eduardo Escobar3B4514628093.214.278.260.24747-0.3
Kosuke FukudomeLF23517040.171.294.195.23942-0.3
Orlando Hudson2B83283533286.204.261.312.25552-0.7
Brent Morel3B3112520054.177.225.195.19514-0.9

Pitching

21 pitchers, ranked by dbWAR.

Chris Sale3029192.017801923.053.271.149.04.2
Jake Peavy3232219.0111201943.373.731.108.03.7
Jose Quintana2522136.1660813.764.231.355.31.4
Gavin Floyd2929168.0121101444.294.461.367.71.4
Matt Thornton74065.04103533.463.191.237.31.1
Nate Jones65071.2800652.393.391.388.21.1
Jesse Crain51048.0230602.443.451.0811.30.7
Addison Reed62055.03229544.753.641.368.80.7
Donnie Veal24013.0001191.381.090.6913.20.5
John Danks9953.2340305.705.011.495.00.1
Brian Omogrosso17021.0000182.574.521.387.70.0
Jhan Mariñez202.200010.004.591.503.40.0
Héctor Santiago42470.1414793.334.701.3410.10.0
Brian Bruney101.010020.005.092.0018.0-0.0
Dylan Axelrod14751.0220405.475.041.517.1-0.1
Leyson Septimo21014.1020145.025.330.988.8-0.1
Deunte Heath302.000014.5010.091.004.5-0.1
Pedro Hernandez114.0010218.0012.593.254.5-0.4
Will Ohman32026.2020136.416.281.054.4-0.5
Philip Humber2616102.0550856.445.771.547.5-1.0
Zach Stewart20335.2140198.587.551.744.8-1.2

Attendance

Announced gate at 81 home dates, 2012.

Average
24,271
81 home dates
Median
25,058
Total
1,965,955
Best
38,676
2012-04-13
Quietest
11,267
2012-04-17
On the road
29,984
what they drew away

By situation

Day and night divide the home schedule, and so do weekend and weekday. The road line is a different question.
SplitGamesAvgMedLowHigh
All home8124,27125,05811,26738,676
Night5324,11525,04111,26737,788
Day2824,56625,12511,83638,676
Weekend3925,14225,14319,12938,676
Weekday4223,46223,32311,26737,788
On the road8129,98434,9379,07253,504

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1121,004
May1420,394
Jun1525,611
Jul929,580
Aug1526,933
Sep1723,235

By season

36511.018255.50.005060708091011121314151617181920212223242526

Announced gate — tickets distributed, which is the figure every reference publishes and is not the same as people through the turnstile. A game the feed reports no gate for is left out rather than counted as empty. Seasons before attendance was carried into the lake are absent from the trend rather than shown as zero.

Game time

First pitch to final out across 161 completed games, 2012.

Regulation
2:51
147 games
All games
2:55
Extra innings
3:30
14 of them
Longest
4:16
2012-06-02, 12 inn
Shortest
2:09
2012-07-05

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1612:552:502:095:23
Regulation1472:512:482:093:48
Extra innings143:303:252:225:23
Home802:592:572:094:16
Road812:502:482:115:23
Day532:562:542:094:16
Night1082:542:492:125:23

Through the season

Average completed game by month.
MonthGamesAverage
Apr112:56
May142:54
Jun152:58
Jul92:55
Aug143:00
Sep173:06

By season

189.694.80.005060708091011121314151617181920212223242526

Regulation games only, in minutes. 171 minutes this season.

Elapsed time from first pitch to final out. The feed does not itemise delays, so a rain delay is inside these numbers with no way to subtract it. Games called early are excluded — five innings in ninety-three minutes is not a short game — but they still count in attendance, because the crowd turned up.

Record versus run differential

Chicago White Sox are 85-77, a .525 win rate, while their +72 run differential implies .546. That is about 3 wins behind it, which tends to regress upward.