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American League Central · 2016

Cleveland Indians 2016

Team WAR
39.2
19.4 bat / 19.8 pitch
Win %
.584
pyth .563
Run diff
+101
4.83 / 4.20 per g
wRC+
99
ERA
3.88
FIP 3.94
Home runs
181

The Cleveland Indians went 94-67 in 2016, a .584 winning percentage — 4th of 30 record in baseball. They scored 777 runs and allowed 676, a run differential of +101. The offence ranked 5th of 30 in MLB for runs scored, while their 3.88 staff ERA was 8th of 30. Their 99 team wRC+ was 1% below league average — 14th of 30 in MLB. Francisco Lindor led the position players at 4.1 WAR, and Corey Kluber the rotation at a 3.14 ERA.

Where the offence comes from

Roster contribution by share of the team total.

1,398 team hits
Francisco Lindor182Francisco Lindor — 182 hits (13.0%)José Ramírez176José Ramírez — 176 hits (12.6%)Jason Kipnis168Jason Kipnis — 168 hits (12.0%)Carlos Santana151Carlos Santana — 151 hits (10.8%)Mike Napoli133Mike Napoli — 133 hits (9.5%)Rajai Davis113Rajai Davis — 113 hits (8.1%)Lonnie Chisenhall110Lonnie Chisenhall — 110 hits (7.9%)Tyler Naquin95Tyler Naquin — 95 hits (6.8%)Juan Uribe49Juan Uribe — 49 hits (3.5%)Abraham Almonte48Abraham Almonte — 48 hits (3.4%)Yan Gomes42Yan Gomes — 42 hits (3.0%)Marlon Byrd31Marlon Byrd — 31 hits (2.2%)Chris Gimenez30Chris Gimenez — 30 hits (2.1%)Roberto Pérez28Roberto Pérez — 28 hits (2.0%)Martinez24Michael Martinez — 24 hits (1.7%)Michael Brantley — 9 hits (0.6%)Erik González — 5 hits (0.4%)Josh Tomlin — 2 hits (0.1%)Corey Kluber — 1 hits (0.1%)Collin Cowgill — 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.

Francisco LindorSS158684182157819.301.358.435.3431084.1
José Ramírez3B149618176117622.312.363.462.3581184.0
Jason Kipnis2B156688168238215.275.343.469.3511133.7
Carlos SantanaDH15868815134875.259.366.498.3751283.1
Tyler NaquinCF1093659514436.296.372.514.3791312.9
Mike Napoli1B150645133341015.239.335.465.3471111.7
Rajai DavisCF132495113124843.249.306.388.305841.2
Lonnie ChisenhallRF1204181108576.286.328.439.3301001.2
Marlon ByrdRF34129315190.270.326.452.3321010.3
Josh TomlinP262000.400.400.600.4281630.1
Corey KluberP261000.250.250.500.316910.1
Abraham AlmonteLF65194481228.264.294.401.297790.1
Mike ClevingerP120000.000.000.000.000-111-0.0
Erik GonzálezSS13175000.313.353.313.29980-0.0
Roberto PérezC55184283170.183.285.294.26458-0.1
Danny SalazarP250000.000.000.000.000-111-0.1
Trevor BauerP360000.000.000.000.000-111-0.1
Adam MooreC350000.000.000.000.000-111-0.1
Jesús Aguilar1B460000.000.000.000.000-111-0.2
Collin CowgillRF6141000.083.214.083.162-7-0.2
Chris GimenezC55155304110.216.272.331.26760-0.2
Michael BrantleyLF11439071.231.279.282.24042-0.2
Michael Martinez2B4710624140.238.267.307.25351-0.3
Juan Uribe3B73259497250.206.259.332.25954-0.6
Yan GomesC68264429340.167.201.327.22935-1.0

Pitching

25 pitchers, ranked by dbWAR.

Corey Kluber3232215.018902273.143.261.069.55.2
Carlos Carrasco2525146.111801503.323.721.159.22.7
Trevor Bauer3528190.012801684.263.991.318.02.7
Danny Salazar2525137.111601613.873.741.3410.62.5
Dan Otero62070.2511571.532.330.917.32.0
Cody Allen67068.03532872.513.311.0011.51.2
Josh Tomlin3029174.013901184.404.881.196.10.9
Tommy Hunter33034.0220233.183.061.266.10.7
Bryan Shaw75066.2251693.243.941.269.30.7
Zach McAllister53252.1320543.444.011.459.30.5
Kyle Crockett29016.0000175.062.331.449.60.5
Ryan Merritt4111.010061.642.060.554.90.4
Joba Chamberlain20020.0000182.253.801.158.10.2
Perci Garner809.1000124.822.821.8211.60.2
Mike Clevinger171053.0330505.264.861.498.50.2
Cody Anderson19960.2250546.684.841.628.00.2
TJ House402.200023.382.772.256.80.1
Shawn Armstrong10010.200072.534.461.315.90.0
Adam Plutko203.200037.366.691.917.4-0.1
Chris Gimenez203.0000012.007.481.330.0-0.1
Joe Colón J11010.0130107.205.851.909.0-0.1
Jeff Manship53043.1210363.125.111.437.5-0.1
Tom Gorzelanny703.0100421.009.813.0012.0-0.2
Austin Adams19018.1000179.825.981.858.3-0.2
Shawn Morimando204.2000511.579.793.009.6-0.3

Attendance

Announced gate at 81 home dates, 2016.

Average
19,650
81 home dates
Median
17,803
Total
1,591,667
Best
34,493
2016-04-05
Quietest
8,766
2016-05-04
On the road
26,941
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 home8119,65017,8038,76634,493
Night5518,76115,3658,76634,163
Day2621,53020,63811,52534,493
Weekend3924,05124,41513,23634,045
Weekday4215,56313,8348,76634,493
On the road7926,94125,69210,11446,197

Through the season

Average home crowd by month.
MonthGamesAverage
Apr816,094
May1614,557
Jun1120,120
Jul1228,140
Aug1819,261
Sep1620,269

By season

26029.013014.50.0151617181920212223242526

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 160 completed games, 2016.

Regulation
2:58
148 games
All games
3:03
Extra innings
4:03
12 of them
Longest
4:18
2016-07-09, 11 inn
Shortest
2:19
2016-05-04

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1603:032:592:196:13
Regulation1482:582:562:193:44
Extra innings124:033:523:126:13
Home813:043:032:194:18
Road793:032:522:266:13
Day543:103:052:216:13
Night1063:002:572:194:21

Through the season

Average completed game by month.
MonthGamesAverage
Apr83:11
May162:57
Jun112:46
Jul123:10
Aug183:06
Sep163:13

By season

184.892.40.0151617181920212223242526

Regulation games only, in minutes. 178 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

Cleveland Indians are 94-67, a .584 win rate, while their +101 run differential implies .563. That is about 3 wins ahead of it, usually a mix of bullpen sequencing and one-run luck.