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American League Central · 2015

Chicago White Sox 2015

Team WAR
26.3
10.6 bat / 15.8 pitch
Win %
.469
pyth .446
Run diff
-79
3.84 / 4.33 per g
wRC+
92
ERA
3.98
FIP 3.82
Home runs
138

The Chicago White Sox went 76-86 in 2015, a .469 winning percentage — 21st of 30 record in baseball. They scored 622 runs and allowed 701, a run differential of -79. The offence ranked 28th of 30 in MLB for runs scored, while their 3.98 staff ERA was 15th of 30. Their 92 team wRC+ was 8% below league average — 25th of 30 in MLB. Adam Eaton led the position players at 4.8 WAR, and Chris Sale the rotation at a 3.41 ERA.

Where the offence comes from

Roster contribution by share of the team total.

1,396 team hits
José Abreu178José Abreu — 178 hits (12.8%)Adam Eaton175Adam Eaton — 175 hits (12.5%)Melky Cabrera172Melky Cabrera — 172 hits (12.3%)Alexei Ramirez145Alexei Ramirez — 145 hits (10.4%)Avisaíl García142Avisaíl García — 142 hits (10.2%)Adam LaRoche89Adam LaRoche — 89 hits (6.4%)Yolmer Sánchez87Yolmer Sánchez — 87 hits (6.2%)Tyler Flowers79Tyler Flowers — 79 hits (5.7%)Gillaspie54Conor Gillaspie — 54 hits (3.9%)Tyler Saladino53Tyler Saladino — 53 hits (3.8%)Gordon Beckham44Gordon Beckham — 44 hits (3.2%)Geovany Soto41Geovany Soto — 41 hits (2.9%)JB Shuck38JB Shuck — 38 hits (2.7%)Trayce Thompson36Trayce Thompson — 36 hits (2.6%)Micah Johnson23Micah Johnson — 23 hits (1.6%)18Mike Olt — 18 hits (1.3%)Emilio Bonifácio — 13 hits (0.9%)4Rob Brantly — 4 hits (0.3%)Leury García — 3 hits (0.2%)Jeff Samardzija — 1 hits (0.1%)Chris Sale — 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

23 players, ranked by dbWAR.

Adam EatonCF153689175145618.287.361.431.3501274.8
José Abreu1B154668178301010.290.347.502.3651373.5
Trayce ThompsonRF39135365161.295.363.533.3881541.1
Melky CabreraLF15868317212773.273.314.394.310981.0
Alexei RamirezSS154622145106217.249.285.357.281770.9
Geovany SotoC69210419210.219.301.406.3151010.9
Tyler FlowersC105361799390.239.295.356.291840.8
JB ShuckRF72165380157.266.340.350.310980.4
Avisaíl GarcíaRF14860114213597.257.309.365.298890.1
Conor Gillaspie3B75253544240.228.269.359.272710.1
Jeff SamardzijaP121000.500.500.500.4411920.0
Carlos RodónP230000.000.000.000.000-126-0.0
Chris SaleP391000.111.111.111.098-56-0.0
Leury GarcíaCF11153011.214.267.214.22435-0.1
Micah Johnson2B3511423043.230.306.270.26867-0.1
Jose QuintanaP490000.000.000.000.000-126-0.1
Tyler Saladino3B65254534208.225.267.335.26666-0.2
Mike Olt3B2910218450.191.255.319.25961-0.2
Rob BrantlyC12364160.121.167.242.1825-0.2
Yolmer Sánchez2B118420875312.224.268.326.26565-0.2
Gordon Beckham3B85237446200.209.275.332.27069-0.3
Adam LaRocheDH1264848912440.207.293.340.28781-0.8
Emilio Bonifácio2B428213041.167.198.192.1782-0.9

Pitching

24 pitchers, ranked by dbWAR.

Chris Sale3131208.2131102743.412.731.0911.85.4
Jose Quintana3232206.191001773.363.181.277.74.2
Jeff Samardzija3232214.0111301634.964.231.296.91.7
Carlos Rodón2623139.19601393.753.871.449.01.6
David Robertson60063.16534863.412.520.9312.21.4
John Danks3030177.271501244.714.491.416.30.8
Dan Jennings53056.1230463.993.471.407.30.6
Jake Petricka62052.0432333.633.461.425.70.6
Matt Albers30037.1200281.213.481.076.80.4
Scott Carroll18036.2110273.443.681.456.60.3
Frankie Montas7215.0020204.803.131.5312.00.3
Zach Putnam49048.2330644.074.101.3611.80.2
Chris Beck116.001036.004.132.334.50.1
Adam LaRoche101.000010.001.130.009.00.0
Leury García101.000010.004.131.009.00.0
Javy Guerra301.200000.004.931.800.0-0.0
Alexei Ramirez101.000000.006.131.000.0-0.0
Junior Guerra304.000036.755.632.006.8-0.1
Nate Jones19019.0220273.324.660.9512.8-0.1
Kyle Drabek305.100035.065.572.065.1-0.1
Zach Duke71060.2361663.414.621.309.8-0.2
Daniel Webb27030.0100226.305.272.106.6-0.3
Erik Johnson6635.0310303.345.931.407.7-0.4
Hector Noesí10532.2040226.896.231.786.1-0.6

Attendance

Announced gate at 80 home dates, 2015.

Average
21,948
80 home dates
Median
20,059
Total
1,755,810
Best
39,579
2015-08-15
Quietest
11,667
2015-09-09
On the road
29,398
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 home8021,94820,05911,66739,579
Night5119,51917,77211,66739,579
Day2926,21923,31712,40639,475
Weekend3827,40026,03815,64139,579
Weekday4217,01517,03011,66730,046
On the road7929,39829,72010,64245,626

Through the season

Average home crowd by month.
MonthGamesAverage
Apr920,368
May1319,971
Jun1123,472
Jul1425,842
Aug1824,737
Sep1214,933
Oct417,107

By season

24807.012403.50.0151617181920212223242526

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 162 completed games, 2015.

Regulation
2:54
144 games
All games
3:00
Extra innings
3:47
18 of them
Longest
5:09
2015-09-14, 14 inn
Shortest
1:54
2015-07-06

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1623:002:561:545:09
Regulation1442:542:541:544:16
Extra innings183:473:502:345:09
Home813:032:571:545:09
Road812:572:552:034:08
Day632:572:532:034:56
Night993:022:581:545:09

Through the season

Average completed game by month.
MonthGamesAverage
Apr93:07
May132:53
Jun112:53
Jul143:03
Aug183:12
Sep123:11
Oct42:54

By season

189.694.80.0151617181920212223242526

Regulation games only, in minutes. 174 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 76-86, a .469 win rate, while their -79 run differential implies .446. That is about 4 wins ahead of it, usually a mix of bullpen sequencing and one-run luck.