DataBaseball
2026
Toronto Blue Jays logo

American League East · 2015

Toronto Blue Jays 2015

Team WAR
44.0
36.4 bat / 7.6 pitch
Win %
.574
pyth .628
Run diff
+221
5.50 / 4.14 per g
wRC+
127
ERA
3.87
FIP 4.19
Home runs
238

The Toronto Blue Jays went 93-69 in 2015, a .574 winning percentage — 5th of 30 record in baseball. They scored 891 runs and allowed 670, a run differential of +221. The offence ranked the best in MLB for runs scored, while their 3.87 staff ERA was 12th of 30. Their 127 team wRC+ was 27% above league average — the best in MLB. Josh Donaldson led the position players at 7.7 WAR, and Liam Hendriks the rotation at a 2.92 ERA.

Where the offence comes from

Roster contribution by share of the team total.

1,459 team hits
Josh Donaldson184Josh Donaldson — 184 hits (12.6%)Kevin Pillar163Kevin Pillar — 163 hits (11.2%)Edwin Encarnación146Edwin Encarnación — 146 hits (10.0%)José Bautista136José Bautista — 136 hits (9.3%)José Reyes132José Reyes — 132 hits (9.0%)Chris Colabello107Chris Colabello — 107 hits (7.3%)Russell Martin106Russell Martin — 106 hits (7.3%)Danny Valencia100Danny Valencia — 100 hits (6.9%)Ryan Goins94Ryan Goins — 94 hits (6.4%)Justin Smoak67Justin Smoak — 67 hits (4.6%)Devon Travis66Devon Travis — 66 hits (4.5%)Carrera47Ezequiel Carrera — 47 hits (3.2%)Navarro42Dioner Navarro — 42 hits (2.9%)Pompey21Dalton Pompey — 21 hits (1.4%)11Steve Tolleson — 11 hits (0.8%)Josh Thole — 10 hits (0.7%)7Darwin Barney — 7 hits (0.5%)6Munenori Kawasaki — 6 hits (0.4%)6Michael Saunders — 6 hits (0.4%)Matt Hague — 3 hits (0.2%)Marco Estrada — 2 hits (0.1%)Jonathan Diaz — 2 hits (0.1%)Mark Buehrle — 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.

Josh Donaldson3B158711184411236.297.371.568.4031657.7
José BautistaRF153666136401148.250.377.536.3951595.3
Edwin EncarnaciónDH146624146391113.277.372.557.3971614.8
Russell MartinC12750710623774.240.329.458.3451233.1
Kevin PillarCF157628163125625.278.314.399.3121002.7
Danny Valencia3B10137810018662.290.345.519.3711422.6
Chris Colabello1B10036010715542.321.367.520.3851522.5
José ReyesSS11651913275324.274.310.378.303932.2
Devon Travis2B62239668353.304.361.498.3751452.1
Ryan Goins2B123428945452.250.318.354.301911.1
Justin Smoak1B1073286718590.226.299.470.3351160.9
Dioner NavarroC52192425200.246.307.374.299900.6
Steve Tolleson2B174511032.268.333.439.3391190.4
Ezequiel CarreraRF73192473262.273.321.372.307960.4
Dalton PompeyCF3210321265.223.291.372.296880.3
Darwin Barney2B12307240.259.286.519.3461240.2
Marco EstradaP262000.333.333.333.294860.1
Matt Hague1B9153000.250.400.333.3201050.1
Liam HendriksP110000—1.000—.7123890.0
Mark BuehrleP491000.143.250.143.199180.0
Munenori Kawasaki2B16346020.214.313.286.279750.0
Scott CopelandP110000.000.000.000.000-126-0.0
R.A. DickeyP240000.000.000.000.000-126-0.1
Jonathan DiazSS5162020.154.267.154.21428-0.1
Michael SaundersRF9366030.194.306.194.24651-0.2
Josh TholeC185210020.204.250.245.22637-0.2

Pitching

20 pitchers, ranked by dbWAR.

Liam Hendriks58064.2500712.922.141.089.91.7
Mark Buehrle3232198.21580913.814.261.244.11.5
Brett Cecil63054.1555702.482.340.9611.61.3
Roberto Osuna68069.21620752.583.020.929.71.2
R.A. Dickey3333214.1111101263.914.481.195.31.0
Marco Estrada3428181.013801313.134.401.046.50.8
Drew Hutchison3028150.113501295.574.421.487.70.8
Marcus Stroman4427.0400181.673.540.966.00.4
Aaron Loup60042.1250464.463.721.289.80.3
Scott Copeland5315.111066.463.591.703.50.2
Colt Hynes503.000046.002.473.3312.00.1
Jeff Francis14022.0120216.144.361.648.60.0
Aaron Sanchez411192.1760613.224.611.285.9-0.1
Steve Delabar31029.1201305.224.841.439.2-0.2
Chad Jenkins203.200024.918.041.644.9-0.2
Andrew Albers102.200013.389.511.133.4-0.2
Todd Redmond7116.0000137.315.451.507.3-0.2
Bo Schultz31043.0011313.564.851.076.5-0.2
Miguel Castro18017.2034186.115.741.759.2-0.3
Ryan Tepera32033.0021223.275.770.886.0-0.5

Attendance

Announced gate at 81 home dates, 2015.

Average
34,505
81 home dates
Median
35,571
Total
2,794,891
Best
48,414
2015-04-13
Quietest
14,184
2015-04-21
On the road
27,763
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 home8134,50535,57114,18448,414
Night4929,76727,72514,18448,414
Day3241,76045,09315,46347,415
Weekend3940,00142,91721,19547,696
Weekday4229,40127,65714,18448,414
On the road7927,76326,2469,79848,469

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1024,450
May1624,857
Jun1632,184
Jul934,261
Aug1642,233
Sep1446,690

By season

41878.020939.00.0151617181920212223242526

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
2:50
148 games
All games
2:53
Extra innings
3:28
14 of them
Longest
3:44
2015-06-21, 9 inn
Shortest
2:08
2015-06-10

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1622:532:501:544:32
Regulation1482:502:461:544:01
Extra innings143:283:262:414:32
Home812:482:412:083:44
Road812:582:591:544:32
Day632:582:572:084:32
Night992:502:451:544:01

Through the season

Average completed game by month.
MonthGamesAverage
Apr102:49
May162:44
Jun162:45
Jul92:44
Aug162:47
Sep143:00

By season

190.395.20.0151617181920212223242526

Regulation games only, in minutes. 170 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

Toronto Blue Jays are 93-69, a .574 win rate, while their +221 run differential implies .628. That is about 9 wins behind it, which tends to regress upward.