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American League Central · 2014

Minnesota Twins 2014

Team WAR
30.0
19.8 bat / 10.2 pitch
Win %
.432
pyth .462
Run diff
-62
4.41 / 4.80 per g
wRC+
103
ERA
4.59
FIP 3.98
Home runs
127

The Minnesota Twins went 70-92 in 2014, a .432 winning percentage — 27th of 30 record in baseball. They scored 715 runs and allowed 777, a run differential of -62. The offence ranked 7th of 30 in MLB for runs scored, while their 4.59 staff ERA was the second worst. Their 103 team wRC+ was 3% above league average — 9th of 30 in MLB. Brian Dozier led the position players at 4.6 WAR, and Phil Hughes the rotation at a 3.52 ERA.

The 2014 season

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

They finished 5th in the AL Central, 20 games back. They were as far as 21 games back on September 15. Their best month was March/April at 12-12, their worst August at 11-18. The longest runs were a 4-game winning streak from June 19 to June 22 and a 5-game losing streak from June 14 to June 18. They were 35-46 at home and 35-46 on the road, 21-24 in one-run games and 44-64 against clubs that finished .500 or better. The most lopsided win was 20-6 against the Tigers on August 22; the heaviest defeat, 14-4 against the Angels on September 7.

Record by month. March games count toward April, October’s toward September.
MonthWLPctRSRADiff
March/April1212.500131128+3
May1316.44892119-27
June1216.429113123-10
July1115.42399110-11
August1118.379159163-4
Sept/Oct1115.423121134-13
Splits. Extra innings are blank for a season whose games predate the innings count.
GamesW-LPct
Home35-46.432
Road35-46.432
One-run games21-24.467
Extra innings6-7.462
Within the division36-40.474
Against .500+ clubs44-64.407
Decided by 5+ runs21-26.447
Last 105-5.500

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 Minnesota Twins 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 9

Outfielders 8

Designated hitters 1

Starting pitchers 9

Relief pitchers 13

Where the offence comes from

Roster contribution by share of the team total.

1,311 team hits
Brian Dozier145Brian Dozier — 145 hits (11.1%)Trevor Plouffe134Trevor Plouffe — 134 hits (10.2%)Kurt Suzuki130Kurt Suzuki — 130 hits (9.9%)Danny Santana129Danny Santana — 129 hits (9.8%)Joe Mauer126Joe Mauer — 126 hits (9.6%)Eduardo Escobar119Eduardo Escobar — 119 hits (9.1%)Oswaldo Arcia86Oswaldo Arcia — 86 hits (6.6%)Josh Willingham64Josh Willingham — 64 hits (4.9%)Chris Parmelee64Chris Parmelee — 64 hits (4.9%)Kennys Vargas59Kennys Vargas — 59 hits (4.5%)Eduardo Núñez51Eduardo Núñez — 51 hits (3.9%)Chris Colabello47Chris Colabello — 47 hits (3.6%)Aaron Hicks40Aaron Hicks — 40 hits (3.1%)Pinto37Josmil Pinto — 37 hits (2.8%)Kubel35Jason Kubel — 35 hits (2.7%)Eric Fryer16Eric Fryer — 16 hits (1.2%)Herrmann16Chris Herrmann — 16 hits (1.2%)7Pedro Florimón — 7 hits (0.5%)Jorge Polanco — 2 hits (0.2%)Doug Bernier — 2 hits (0.2%)Kyle Gibson — 1 hits (0.1%)Samuel Deduno — 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.

Brian Dozier2B156707145237121.242.345.416.3441174.6
Danny SantanaCF10043012974020.319.353.472.3661323.8
Kurt SuzukiC1305031303610.288.345.383.3271062.7
Trevor Plouffe3B13658213414802.258.328.423.3351112.6
Eduardo EscobarSS1284651196371.275.315.406.3211022.1
Oswaldo ArciaRF1034108620571.231.300.452.3321091.2
Joe Mauer1B1205181264553.277.361.371.3261051.1
Josh WillinghamLF923646414402.215.346.397.3371131.0
Kennys VargasDH53234599380.274.316.456.3381130.6
Aaron HicksCF62225401184.215.341.274.295840.4
Josmil PintoC56197377180.219.315.391.3191010.4
Eduardo NúñezSS70213514249.250.271.382.291810.2
Jorge PolancoSS582030.333.500.833.5532600.2
Eric FryerC248116151.213.272.307.265630.1
Doug BernierSS792000.286.444.286.3581270.1
Kyle GibsonP241000.250.250.250.224360.1
Samuel DedunoP351000.200.200.400.259590.0
Chris ParmeleeRF79270647280.256.307.384.312950.0
Kris JohnsonP110000.000.000.000.000-118-0.0
Ricky NolascoP120000.000.000.000.000-118-0.0
Jason BartlettLF340000.000.250.000.1816-0.0
Phil HughesP260000.000.000.000.000-118-0.1
Chris Colabello1B59220476390.229.282.380.29685-0.2
Jason KubelLF45176351131.224.313.295.28275-0.2
Chris HerrmannRF307916041.213.253.253.23241-0.4
Pedro FlorimónSS29867016.092.179.132.156-11-0.6

Pitching

22 pitchers, ranked by dbWAR.

Phil Hughes3232209.2161001863.522.651.138.05.4
Kyle Gibson3131179.1131201074.473.801.315.42.1
Glen Perkins63061.24334663.653.101.189.60.9
Ricky Nolasco2727159.061201155.384.301.526.50.9
Casey Fien73063.1561513.983.431.177.20.7
Yohan Pino111160.1250505.073.941.337.50.6
Anthony Swarzak50486.0320474.603.771.494.90.6
Caleb Thielbar54047.2210353.403.551.416.60.4
Aaron Thompson707.100062.452.311.367.40.2
Matt Guerrier27028.0010123.863.921.433.90.1
Samuel Deduno359100.2260834.474.311.427.40.1
Michael Tonkin25019.0000164.744.081.537.60.0
Jared Burton68064.0353464.364.231.306.50.0
Kevin Correia3226154.07170795.444.671.504.6-0.0
Trevor May10945.2360447.884.771.778.7-0.0
Ryan Pressly25028.1200142.864.471.344.4-0.1
Kris Johnson3313.1010124.725.311.958.1-0.1
A.J. Achter7011.010053.275.401.554.1-0.2
Brian Duensing62054.1330333.314.511.335.5-0.2
Logan Darnell7424.0020227.135.131.638.3-0.2
Lester Oliveros706.101057.117.081.427.1-0.2
Mike Pelfrey5523.2030107.997.571.993.8-0.8

Attendance

Announced gate at 81 home dates, 2014.

Average
27,785
81 home dates
Median
28,033
Total
2,250,606
Best
36,952
2014-07-04
Quietest
19,700
2014-09-15
On the road
26,943
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 home8127,78528,03319,70036,952
Night4827,39527,41719,70036,117
Day3328,35328,12220,50736,952
Weekend3928,81128,40020,87836,952
Weekday4226,83226,41519,70035,837
On the road7926,94327,4469,03745,080

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1224,328
May1526,680
Jun1030,995
Jul1631,006
Aug1329,313
Sep1524,758

By season

39798.019899.00.005060708091011121314151617181920212223242526

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 162 completed games, 2014.

Regulation
3:03
149 games
All games
3:07
Extra innings
3:50
13 of them
Longest
5:11
2014-05-01, 12 inn
Shortest
2:26
2014-05-17

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1623:073:042:265:11
Regulation1493:033:022:264:10
Extra innings133:503:412:315:11
Home813:103:082:265:11
Road813:032:592:274:48
Day683:073:022:274:19
Night943:073:052:265:11

Through the season

Average completed game by month.
MonthGamesAverage
Apr123:12
May153:08
Jun103:10
Jul163:02
Aug133:15
Sep153:16

By season

189.394.70.005060708091011121314151617181920212223242526

Regulation games only, in minutes. 183 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

Minnesota Twins are 70-92, a .432 win rate, while their -62 run differential implies .462. That is about 5 wins behind it, which tends to regress upward.