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American League East · 2016

Toronto Blue Jays 2016

Team WAR
37.3
19.6 bat / 17.7 pitch
Win %
.549
pyth .560
Run diff
+93
4.69 / 4.11 per g
wRC+
103
ERA
3.86
FIP 4.06
Home runs
216

The Toronto Blue Jays went 89-73 in 2016, a .549 winning percentage — 7th of 30 record in baseball. They scored 759 runs and allowed 666, a run differential of +93. The offence ranked 9th of 30 in MLB for runs scored, while their 3.86 staff ERA was 7th of 30. Their 103 team wRC+ was 3% above league average — 9th of 30 in MLB. Josh Donaldson led the position players at 6.9 WAR, and Aaron Sanchez the rotation at a 3.00 ERA.

Where the offence comes from

Roster contribution by share of the team total.

1,319 team hits
Josh Donaldson164Josh Donaldson — 164 hits (12.4%)Edwin Encarnación158Edwin Encarnación — 158 hits (12.0%)Kevin Pillar146Kevin Pillar — 146 hits (11.1%)Troy Tulowitzki125Troy Tulowitzki — 125 hits (9.5%)Michael Saunders124Michael Saunders — 124 hits (9.4%)Devon Travis123Devon Travis — 123 hits (9.3%)Russell Martin105Russell Martin — 105 hits (8.0%)José Bautista99José Bautista — 99 hits (7.5%)Darwin Barney75Darwin Barney — 75 hits (5.7%)Ezequiel Carrera67Ezequiel Carrera — 67 hits (5.1%)Justin Smoak65Justin Smoak — 65 hits (4.9%)Ryan Goins34Ryan Goins — 34 hits (2.6%)Josh Thole20Josh Thole — 20 hits (1.5%)Junior Lake — 7 hits (0.5%)Darrell Ceciliani — 3 hits (0.2%)J.A. Happ — 2 hits (0.2%)Chris Colabello — 2 hits (0.2%)
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.

Josh Donaldson3B15570016437997.284.404.549.4081526.9
Edwin EncarnaciónDH160702158421272.263.357.529.3791333.6
Troy TulowitzkiSS13154412524791.254.318.443.3301012.4
Devon Travis2B10143212311504.300.332.454.3401082.2
Russell MartinC13653510520742.231.335.398.325982.1
Michael SaundersLF13955812424571.253.338.478.3521162.0
José BautistaRF1165179922692.234.366.452.3591201.8
Kevin PillarCF14358414675314.266.303.376.297800.8
Darwin Barney2B93306754192.269.322.373.305850.5
J.A. HappP3102000.286.286.286.251500.1
Ezequiel CarreraRF88310676237.248.323.356.303840.1
Justin Smoak1B983416514341.217.314.391.313900.0
Junior LakeRF13397121.200.282.371.289750.0
Gavin FloydP110000.000.000.000.000-112-0.0
R.A. DickeyPH110000.000.000.000.000-112-0.0
Dalton PompeyLF620002.000.000.000.000-112-0.1
Marco EstradaP250000.000.000.000.000-112-0.1
Aaron SanchezP3100000.000.100.000.070-67-0.1
Marcus StromanP260000.000.000.000.000-112-0.1
Andy BurnsPH870000.000.143.000.104-45-0.1
Matt Dominguez3B5120000.000.083.000.058-75-0.2
Darrell CecilianiLF9293010.111.172.185.167-5-0.3
Chris Colabello1B10322010.069.156.069.121-34-0.5
Josh TholeC4313620170.169.254.220.22231-0.6
Ryan Goins2B63196343121.186.228.306.23540-0.8

Pitching

25 pitchers, ranked by dbWAR.

Aaron Sanchez3030192.015201613.003.551.177.53.9
Marcus Stroman3232204.091001664.373.711.297.33.8
J.A. Happ3232195.020401633.183.961.177.53.0
Marco Estrada2929176.09901653.484.151.128.42.4
Joe Biagini60067.2431623.062.951.308.21.4
Roberto Osuna72074.04336822.683.200.9310.01.4
R.A. Dickey3029169.2101501264.465.031.376.70.5
Brett Cecil54036.2170453.933.641.2811.00.5
Danny Barnes12013.2000143.952.201.399.20.4
Drew Storen57051.2433485.234.211.348.40.3
Jason Grilli67059.0764814.124.331.2912.40.3
Gavin Floyd28031.0240304.063.951.008.70.3
Jesse Chavez62067.0220634.434.491.338.50.2
Ryan Tepera20018.1010182.953.691.368.80.2
Aaron Loup21014.1000155.024.331.339.40.1
Matt Dermody503.0000512.005.152.0015.0-0.0
Bo Schultz16016.1010105.514.861.225.5-0.0
Ryan Goins101.000000.006.153.000.0-0.0
Scott Diamond101.0000027.009.154.000.0-0.1
Arnold Leon202.100027.718.291.717.7-0.1
Franklin Morales504.001029.006.901.254.5-0.1
Darwin Barney101.001019.0014.151.009.0-0.1
Dustin Antolin102.0000113.5010.152.504.5-0.1
Chad Girodo14010.100054.356.821.264.4-0.2
Pat Venditte15022.0000195.736.151.597.8-0.3

Attendance

Announced gate at 81 home dates, 2016.

Average
41,878
81 home dates
Median
45,825
Total
3,392,099
Best
48,871
2016-04-08
Quietest
23,726
2016-04-26
On the road
30,065
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 home8141,87845,82523,72648,871
Night5038,70941,46623,72648,871
Day3146,98847,30141,00148,154
Weekend3946,39947,13834,25148,871
Weekday4237,68039,74223,72647,791
On the road8130,06531,41512,60247,115

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1236,572
May1535,892
Jun1043,321
Jul1944,816
Aug1245,698
Sep1344,751

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, 2016.

Regulation
2:55
149 games
All games
3:00
Extra innings
3:51
13 of them
Longest
6:13
2016-07-01, 19 inn
Shortest
2:10
2016-07-04

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1623:002:562:106:13
Regulation1492:552:532:103:51
Extra innings133:513:472:546:13
Home812:592:542:106:13
Road813:012:582:194:28
Day613:042:562:196:13
Night1012:572:552:104:05

Through the season

Average completed game by month.
MonthGamesAverage
Apr122:52
May152:55
Jun102:55
Jul193:06
Aug123:00
Sep133:01

By season

190.395.20.0151617181920212223242526

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

Toronto Blue Jays are 89-73, a .549 win rate, while their +93 run differential implies .560. That is essentially in line — the record reflects the run scoring.