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American League West · 2014

Seattle Mariners 2014

Team WAR
27.7
13.3 bat / 14.4 pitch
Win %
.537
pyth .561
Run diff
+80
3.91 / 3.42 per g
wRC+
99
ERA
3.16
FIP 3.60
Home runs
135

The Seattle Mariners went 87-75 in 2014, a .537 winning percentage — 11th of 30 record in baseball. They scored 634 runs and allowed 554, a run differential of +80. The offence ranked 18th of 30 in MLB for runs scored, while their 3.16 staff ERA was the second best. Their 99 team wRC+ was 1% below league average — 15th of 30 in MLB. Robinson Canó led the position players at 5.7 WAR, and Félix Hernández the rotation at a 2.14 ERA.

The 2014 season

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

They finished 3rd in the AL West, 11 games back. They spent 11 of 182 days in first place, led by as many as 2 games on April 5 and were as far as 14.5 games back on September 24. Their best month was June at 18-10, their worst March/April at 11-14. The longest runs were a 5-game winning streak from May 3 to May 7 and an 8-game losing streak from April 15 to April 22. They were 41-40 at home and 46-35 on the road, 18-27 in one-run games and 45-35 against clubs that finished .500 or better. The most lopsided win was 13-2 at the Astros on July 1; the heaviest defeat, 14-4 at the Blue Jays on September 22.

Record by month. March games count toward April, October’s toward September.
MonthWLPctRSRADiff
March/April1114.44097102-5
May1614.533127113+14
June1810.64311770+47
July1114.4407376-3
August1710.63012380+43
Sept/Oct1413.51997113-16
Splits. Extra innings are blank for a season whose games predate the innings count.
GamesW-LPct
Home41-40.506
Road46-35.568
One-run games18-27.400
Extra innings4-7.364
Within the division41-35.539
Against .500+ clubs45-35.563
Decided by 5+ runs22-17.564
Last 105-5.500

American League West standings, 2014

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

American League West, 2014. Games back of the best record in the division.
TeamWLPctGBRSRADiffWAR
Los Angeles Angels9864.605—773630+14339.0
Oakland Athletics8874.54310729572+15732.5
Seattle Mariners8775.53711634554+8027.7
Houston Astros7092.43228629723-9428.1
Texas Rangers6795.41431637773-13618.2

2014 Seattle Mariners 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 4

Infielders 8

Outfielders 6

Designated hitters 3

Starting pitchers 8

Relief pitchers 11

Where the offence comes from

Roster contribution by share of the team total.

1,284 team hits
Robinson Canó187Robinson Canó — 187 hits (14.6%)Kyle Seager158Kyle Seager — 158 hits (12.3%)Dustin Ackley123Dustin Ackley — 123 hits (9.6%)Logan Morrison88Logan Morrison — 88 hits (6.9%)Mike Zunino87Mike Zunino — 87 hits (6.8%)Brad Miller81Brad Miller — 81 hits (6.3%)Kendrys Morales80Kendrys Morales — 80 hits (6.2%)James Jones78James Jones — 78 hits (6.1%)Endy Chavez64Endy Chavez — 64 hits (5.0%)Saunders63Michael Saunders — 63 hits (4.9%)Justin Smoak50Justin Smoak — 50 hits (3.9%)Corey Hart47Corey Hart — 47 hits (3.7%)Chris Taylor39Chris Taylor — 39 hits (3.0%)Bloomquist37Willie Bloomquist — 37 hits (2.9%)Stefen Romero34Stefen Romero — 34 hits (2.6%)20John Buck — 20 hits (1.6%)18Cole Gillespie — 18 hits (1.4%)13Jesús Sucre — 13 hits (1.0%)13Nick Franklin — 13 hits (1.0%)Jesus Montero — 4 hits (0.3%)
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

28 players, ranked by dbWAR.

Robinson Canó2B157665187148210.314.382.454.3651435.7
Kyle Seager3B15965415825967.268.334.454.3511334.2
Brad MillerSS1214118110364.221.288.365.294901.4
Michael SaundersRF73263638344.273.341.450.3511331.3
Mike ZuninoC1274768722600.199.254.404.293901.2
Logan Morrison1B973658811385.262.315.420.3281161.0
Dustin AckleyLF14254212314658.245.293.398.3091021.0
Chris TaylorSS4515139095.287.347.346.3161070.7
James JonesCF96328780927.250.278.311.266700.6
Endy ChavezRF74258642235.276.317.371.3091020.4
Willie BloomquistSS45139371141.278.297.346.284840.1
Hisashi IwakumaP260000.000.200.000.141-230.0
Chris YoungP110000.000.000.000.000-128-0.0
John BuckC309720160.225.289.281.26469-0.0
James PaxtonP120000.000.000.000.000-128-0.0
Brandon MaurerP120000.000.000.000.000-128-0.0
Félix HernándezP130000.000.000.000.000-128-0.0
Erasmo RamírezP230000.000.000.000.000-128-0.0
Humberto QuinteroC220010.000.000.000.000-128-0.0
Roenis ElíasP240000.000.000.000.000-128-0.0
Jesus MonteroDH6174120.235.235.412.28685-0.1
Cole GillespieLF318118152.243.300.311.28181-0.2
Jesús SucreC196413050.213.213.246.20424-0.2
Nick Franklin2B269013162.160.222.247.21733-0.4
Justin Smoak1B72276507300.202.275.339.28080-0.5
Corey HartDH68255476212.203.271.319.26972-0.6
Stefen RomeroRF60190343110.192.234.299.24252-1.0
Kendrys MoralesDH98401808420.218.274.338.27476-1.2

Pitching

19 pitchers, ranked by dbWAR.

Félix Hernández3434236.015602482.142.560.929.55.9
Hisashi Iwakuma2828179.015901543.523.251.057.72.9
James Paxton131374.0640593.043.281.207.21.2
Roenis Elías2929163.2101201433.854.031.317.91.1
Danny Farquhar66071.0311812.662.861.1310.31.1
Fernando Rodney69066.11648762.852.831.3410.31.1
Dominic Leone57066.1820702.173.071.169.50.9
Charlie Furbush67042.1151513.612.801.1610.80.7
Brandon Maurer38769.2140554.653.491.337.10.6
Yoervis Medina66057.0530602.683.451.339.50.5
Tom Wilhelmsen57279.1321722.273.741.058.20.4
Taijuan Walker8538.0230342.613.681.298.10.3
Carson Smith908.1100100.001.810.6010.80.2
Stephen Pryor101.200010.005.531.805.4-0.0
Joe Beimel56045.0310252.204.181.185.0-0.0
Blake Beavan114.001014.509.131.502.3-0.2
Lucas Luetge1209.000075.007.581.227.0-0.4
Erasmo Ramírez171475.1160605.265.381.547.2-0.8
Chris Young3029165.012901083.655.021.235.9-0.9

Attendance

Announced gate at 81 home dates, 2014.

Average
25,486
81 home dates
Median
26,171
Total
2,064,334
Best
45,661
2014-04-08
Quietest
10,466
2014-04-22
On the road
28,159
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 home8125,48626,17110,46645,661
Night6024,58322,53710,46645,661
Day2128,06426,83913,73940,823
Weekend3929,97929,00020,85843,913
Weekday4221,31319,18110,46645,661
On the road8028,15927,46010,40044,152

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1124,734
May1720,644
Jun1527,111
Jul1425,567
Aug1528,699
Sep927,358

By season

35602.017801.00.005060708091011121314151617181920212223242526

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
2:55
151 games
All games
2:59
Extra innings
3:50
11 of them
Longest
3:54
2014-09-27, 11 inn
Shortest
2:17
2014-06-29

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1622:592:541:595:14
Regulation1512:552:531:594:07
Extra innings113:503:542:505:14
Home812:542:502:173:54
Road813:043:001:595:14
Day522:582:522:174:38
Night1102:592:551:595:14

Through the season

Average completed game by month.
MonthGamesAverage
Apr112:59
May172:53
Jun152:49
Jul142:53
Aug152:47
Sep93:08

By season

188.394.20.005060708091011121314151617181920212223242526

Regulation games only, in minutes. 175 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

Seattle Mariners are 87-75, a .537 win rate, while their +80 run differential implies .561. That is about 4 wins behind it, which tends to regress upward.