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American League Central · 2014

Chicago White Sox 2014

Team WAR
25.6
17.9 bat / 7.7 pitch
Win %
.451
pyth .437
Run diff
-98
4.07 / 4.68 per g
wRC+
100
ERA
4.33
FIP 4.10
Home runs
162

The Chicago White Sox went 73-89 in 2014, a .451 winning percentage — 24th of 30 record in baseball. They scored 660 runs and allowed 758, a run differential of -98. The offence ranked 13th of 30 in MLB for runs scored, while their 4.33 staff ERA was 27th of 30. Their 100 team wRC+ was 0% below league average — 14th of 30 in MLB. José Abreu led the position players at 6.0 WAR, and Jose Quintana the rotation at a 3.32 ERA.

The 2014 season

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

They finished 4th in the AL Central, 17 games back. They spent 3 of 182 days in first place and were as far as 17 games back on September 25. Their best month was July at 14-12, their worst August at 9-19. The longest runs were a 4-game winning streak from May 4 to May 7 and a 7-game losing streak from August 18 to August 26. They were 40-41 at home and 33-48 on the road, 28-24 in one-run games and 45-59 against clubs that finished .500 or better. The most lopsided win was 16-2 at the Rangers on April 20; the heaviest defeat, 16-0 against the Rangers on August 5.

Record by month. March games count toward April, October’s toward September.
MonthWLPctRSRADiff
March/April1415.483154150+4
May1414.500107126-19
June1115.42397113-16
July1412.53811697+19
August919.321102167-65
Sept/Oct1114.44084105-21
Splits. Extra innings are blank for a season whose games predate the innings count.
GamesW-LPct
Home40-41.494
Road33-48.407
One-run games28-24.538
Extra innings6-8.429
Within the division33-43.434
Against .500+ clubs45-59.433
Decided by 5+ runs14-23.378
Last 104-6.400

American League Central standings, 2014

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

American League Central, 2014. Games back of the best record in the division.
TeamWLPctGBRSRADiffWAR
Detroit Tigers9072.556—757705+5243.1
Kansas City Royals8973.5491651624+2730.2
Cleveland Indians8577.5255669653+1640.4
Chicago White Sox7389.45117660758-9825.6
Minnesota Twins7092.43220715777-6230.0

2014 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 7

Designated hitters 2

Starting pitchers 10

Relief pitchers 16

Where the offence comes from

Roster contribution by share of the team total.

1,455 team hits
José Abreu176José Abreu — 176 hits (12.1%)Alexei Ramirez170Alexei Ramirez — 170 hits (11.7%)Adam Eaton146Adam Eaton — 146 hits (10.0%)Conor Gillaspie131Conor Gillaspie — 131 hits (9.0%)Dayan Viciedo121Dayan Viciedo — 121 hits (8.3%)Alejandro De Aza120Alejandro De Aza — 120 hits (8.2%)Gordon Beckham101Gordon Beckham — 101 hits (6.9%)Tyler Flowers98Tyler Flowers — 98 hits (6.7%)Adam Dunn94Adam Dunn — 94 hits (6.5%)Marcus Semien54Marcus Semien — 54 hits (3.7%)Paul Konerko43Paul Konerko — 43 hits (3.0%)Avisaíl García42Avisaíl García — 42 hits (2.9%)Sierra37Moisés Sierra — 37 hits (2.5%)Jordan Danks26Jordan Danks — 26 hits (1.8%)25Adrian Nieto — 25 hits (1.7%)25Yolmer Sánchez — 25 hits (1.7%)García24Leury García — 24 hits (1.6%)Josh Phegley — 8 hits (0.5%)Michael Taylor — 7 hits (0.5%)6Andy Wilkins — 6 hits (0.4%)John Danks — 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

26 players, ranked by dbWAR.

José Abreu1B145622176361073.317.383.581.4161706.0
Adam EatonCF12353814613515.300.362.401.3451203.4
Alexei RamirezSS158657170157421.273.305.408.3181013.2
Conor Gillaspie3B1305061317570.282.336.416.3341122.5
Tyler FlowersC1234429815500.241.297.396.312971.9
Adam DunnDH1315119422641.219.337.415.3381161.4
Alejandro De AzaLF13652812084117.252.314.386.314991.1
Marcus Semien3B64255546283.234.300.372.305930.7
Avisaíl GarcíaRF46190427294.244.305.413.3201030.6
Adrian NietoC4211825270.236.296.340.290820.3
Josh PhegleyC10388370.216.211.514.310960.2
Michael TaylorLF11337000.250.364.286.309950.1
Dayan ViciedoRF14556312121580.231.281.405.305920.1
John DanksP131000.333.333.333.299880.0
Felipe PaulinoP110000.000.000.000.000-120-0.0
Jordan DanksCF42132262105.222.303.291.27471-0.0
Erik JohnsonP130000.000.000.000.000-120-0.0
Chris SaleP130000.000.000.000.000-120-0.0
Gordon Beckham2B1274831019443.226.271.348.27672-0.0
Hector NoesíP240000.000.000.000.000-120-0.0
Jose QuintanaP4100000.000.000.000.000-120-0.1
Yolmer Sánchez2B2810425051.250.269.300.25558-0.2
Moisés SierraRF6617037293.230.265.342.27269-0.2
Andy Wilkins1B14456020.140.178.186.169-2-0.5
Paul KonerkoDH81224435220.207.254.317.25961-1.0
Leury García2B63155241611.166.192.207.1795-1.1

Pitching

26 pitchers, ranked by dbWAR.

Jose Quintana3232200.191101783.322.811.248.04.7
Chris Sale2626174.012402082.172.570.9710.84.6
Zach Putnam49054.2536461.983.081.087.60.8
Jake Petricka67073.01614552.963.601.376.80.6
Ronald Belisario62066.1488475.563.541.456.40.6
Chris Bassitt6529.2110213.943.331.586.40.5
Javy Guerra42046.1241382.913.951.327.40.2
Erik Johnson5523.2110186.464.321.776.80.1
Scott Downs55038.0041254.974.081.475.90.1
Adam Dunn101.000009.006.133.000.0-0.0
Matt Lindstrom35034.0226185.034.371.744.8-0.1
Leury García101.0010018.009.133.000.0-0.1
Donnie Veal706.000067.505.132.179.0-0.1
Charlie Leesman112.2010020.259.133.750.0-0.1
John Danks3232193.2111101294.744.761.446.0-0.2
Taylor Thompson505.1000410.136.882.446.8-0.2
Eric Surkamp35024.1200204.814.821.447.4-0.2
Scott Snodgress402.1000115.4311.704.713.9-0.2
Daniel Webb57067.2650583.994.521.497.7-0.2
Maikel Cleto28029.1010324.604.941.609.8-0.3
Frank Francisco403.2000512.279.952.7312.3-0.3
Scott Carroll2619129.15100644.804.771.484.5-0.3
Hector Noesí3327172.181201234.754.831.376.4-0.5
Felipe Paulino4418.10201411.297.992.566.9-0.7
André Rienzo181164.2450516.825.731.787.1-1.0
Nate Jones200.00000—————

Attendance

Announced gate at 79 home dates, 2014.

Average
20,896
79 home dates
Median
20,106
Total
1,650,821
Best
39,142
2014-05-25
Quietest
10,625
2014-04-02
On the road
28,519
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 home7920,89620,10610,62539,142
Night5020,00519,00311,11638,160
Day2922,43323,11310,62539,142
Weekend3924,55524,52713,60539,142
Weekday4017,32917,05810,62537,422
On the road8128,51927,81810,12047,594

Through the season

Average home crowd by month.
MonthGamesAverage
Mar137,422
Apr1515,504
May1422,929
Jun922,536
Jul1221,790
Aug1920,312
Sep1119,055

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, 2014.

Regulation
3:05
147 games
All games
3:09
Extra innings
3:43
14 of them
Longest
5:17
2014-04-16, 14 inn
Shortest
2:08
2014-06-01

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1613:093:052:085:17
Regulation1473:053:032:084:16
Extra innings143:433:372:505:17
Home803:123:072:085:17
Road813:053:042:304:16
Day573:083:032:084:38
Night1043:093:062:285:17

Through the season

Average completed game by month.
MonthGamesAverage
Mar12:35
Apr153:30
May143:10
Jun93:00
Jul123:10
Aug183:11
Sep113:06

By season

189.694.80.005060708091011121314151617181920212223242526

Regulation games only, in minutes. 185 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 73-89, a .451 win rate, while their -98 run differential implies .437. That is essentially in line — the record reflects the run scoring.