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American League East · 2016

Baltimore Orioles 2016

Team WAR
29.7
20.6 bat / 9.1 pitch
Win %
.549
pyth .518
Run diff
+29
4.59 / 4.41 per g
wRC+
107
ERA
4.19
FIP 4.37
Home runs
248

The Baltimore Orioles went 89-73 in 2016, a .549 winning percentage — 8th of 30 record in baseball. They scored 744 runs and allowed 715, a run differential of +29. The offence ranked 12th of 30 in MLB for runs scored, while their 4.19 staff ERA was 17th of 30. Their 107 team wRC+ was 7% above league average — 6th of 30 in MLB. Manny Machado led the position players at 5.1 WAR, and Kevin Gausman the rotation at a 3.61 ERA.

The 2016 season

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

They finished tied for 2nd in the AL East, 4 games back. They spent 112 of 182 days in first place, led by as many as 5.5 games on June 29 and were as far as 7 games back on September 22. Their best month was June at 19-9, their worst August at 13-16. The longest runs were a 7-game winning streak from April 4 to April 12 and a 5-game losing streak from June 30 to July 4. They were 50-31 at home and 39-42 on the road, 21-16 in one-run games and 53-54 against clubs that finished .500 or better. The most lopsided win was 11-2 at the Rays on September 6; the heaviest defeat, 10-0 against the Mariners on May 17.

Record by month. March games count toward April, October’s toward September.
MonthWLPctRSRADiff
March/April149.60910886+22
May1413.519110124-14
June199.679185140+45
July1214.46289115-26
August1316.448132152-20
Sept/Oct1712.58612098+22
Splits. Extra innings are blank for a season whose games predate the innings count.
GamesW-LPct
Home50-31.617
Road39-42.481
One-run games21-16.568
Extra innings6-2.750
Within the division40-36.526
Against .500+ clubs53-54.495
Decided by 5+ runs24-21.533
Last 107-3.700

American League East standings, 2016

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

American League East, 2016. Games back of the best record in the division.
TeamWLPctGBRSRADiffWAR
Boston Red Sox9369.574—878694+18450.6
Toronto Blue Jays8973.5494759666+9337.3
Baltimore Orioles8973.5494744715+2929.7
New York Yankees8478.5199680702-2231.9
Tampa Bay Rays6894.42025672713-4130.7

2016 Baltimore Orioles 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 6

Outfielders 7

Designated hitters 2

Starting pitchers 6

Relief pitchers 17

Where the offence comes from

Roster contribution by share of the team total.

1,383 team hits
Manny Machado188Manny Machado — 188 hits (13.6%)Adam Jones164Adam Jones — 164 hits (11.9%)Jonathan Schoop164Jonathan Schoop — 164 hits (11.9%)Mark Trumbo157Mark Trumbo — 157 hits (11.4%)Chris Davis125Chris Davis — 125 hits (9.0%)J.J. Hardy109J.J. Hardy — 109 hits (7.9%)Matt Wieters103Matt Wieters — 103 hits (7.4%)Hyun Soo Kim92Hyun Soo Kim — 92 hits (6.7%)Pedro Álvarez84Pedro Álvarez — 84 hits (6.1%)Joey Rickard69Joey Rickard — 69 hits (5.0%)Nolan Reimold45Nolan Reimold — 45 hits (3.3%)Flaherty34Ryan Flaherty — 34 hits (2.5%)23Caleb Joseph — 23 hits (1.7%)8Francisco Peña — 8 hits (0.6%)Paul Janish — 6 hits (0.4%)Trey Mancini — 5 hits (0.4%)Julio Borbon — 4 hits (0.3%)Yovani Gallardo — 2 hits (0.1%)Dariel Álvarez — 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.

Manny Machado3B15769618837960.294.343.533.3711355.1
Mark TrumboRF159667157471082.256.316.533.3641303.1
Adam JonesCF15067216429832.265.310.436.3221022.4
Chris Davis1B15766512538841.221.332.459.3451172.4
Jonathan Schoop2B16264716425821.267.298.454.3241032.3
Hyun Soo KimLF93346926221.302.382.420.3551241.7
Matt WietersC12446410317661.243.302.409.310941.6
Pedro ÁlvarezDH1073768422491.249.322.504.3541241.4
J.J. HardySS1154381099480.269.309.407.310931.2
Joey RickardRF74282695194.268.319.377.307910.5
Trey ManciniDH5155350.357.4001.071.6062960.4
Yovani GallardoP362000.500.600.500.4902170.2
Dariel ÁlvarezRF241000.333.500.667.4912170.1
Kevin GausmanP230000.000.333.000.232400.0
Oliver DrakeP110000.000.000.000.000-119-0.0
Donnie HartP110000.000.000.000.000-119-0.0
Ryan Flaherty3B60176343152.217.291.318.27267-0.0
Mychal GivensP220000.000.000.000.000-119-0.0
Dylan BundyP130000.000.000.000.000-119-0.0
Chris TillmanP130000.000.000.000.000-119-0.0
Ubaldo JiménezP240000.000.000.000.000-119-0.0
Julio BorbonCF4154000.308.308.308.27066-0.1
Paul Janish3B12356000.194.286.226.24247-0.1
Francisco PeñaC13438130.200.238.275.22938-0.2
Nolan ReimoldLF82227456151.222.300.365.29583-0.2
Caleb JosephC4414123000.174.216.197.18910-1.1

Pitching

23 pitchers, ranked by dbWAR.

Kevin Gausman3030179.291201743.614.101.288.72.2
Zack Britton69067.02147740.541.940.849.92.1
Chris Tillman3030172.016601403.774.231.287.31.9
Brad Brach71079.01042922.052.921.0410.51.6
Mychal Givens66074.2820963.133.311.2711.61.2
Ubaldo Jiménez3025142.181211255.444.431.567.91.1
Oliver Drake14018.0100214.003.421.0010.50.3
Donnie Hart22018.1000120.493.530.985.90.2
Dylan Bundy3614109.210601044.024.701.388.50.2
Yovani Gallardo2323118.0680855.425.041.586.50.2
Jayson Aquino302.100030.000.570.4311.60.1
Brian Duensing14013.1100104.054.271.206.80.1
Darren O'Day34031.0313383.774.571.2311.00.0
Tyler Wilson241394.0460555.274.941.435.30.0
Logan Ondrusek706.100049.955.361.895.7-0.1
Ashur Tolliver504.210055.795.721.719.6-0.1
Vance Worley35486.2221563.534.821.375.8-0.1
Odrisamer Despaigne19030.1020175.934.991.715.0-0.1
Ryan Flaherty101.0000018.0016.153.000.0-0.1
Parker Bridwell203.1000313.5010.051.808.1-0.2
Mike Wright Jr.181274.2340505.795.301.436.0-0.3
T.J. McFarland16024.222076.935.621.742.6-0.3
Brian Matusz819.0000314.0014.482.893.0-1.0

Attendance

Announced gate at 81 home dates, 2016.

Average
26,819
81 home dates
Median
26,160
Total
2,172,344
Best
45,785
2016-04-04
Quietest
11,142
2016-04-07
On the road
31,797
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 home8126,81926,16011,14245,785
Night6124,55523,67711,14244,956
Day2033,72633,98815,11045,785
Weekend3932,41631,94615,11044,956
Weekday4221,62220,30611,14245,785
On the road8131,79733,22210,40747,791

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1120,311
May1626,054
Jun1729,022
Jul932,562
Aug1425,548
Sep1427,712

By season

32405.016202.50.005060708091011121314151617181920212223242526

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 161 completed games, 2016.

Regulation
2:58
153 games
All games
3:00
Extra innings
3:43
8 of them
Longest
4:00
2016-09-23, 12 inn
Shortest
2:26
2016-08-03

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1613:002:582:245:26
Regulation1532:582:572:243:58
Extra innings83:433:352:505:26
Home802:592:562:264:00
Road813:012:592:245:26
Day453:053:022:325:26
Night1162:582:572:244:14

Through the season

Average completed game by month.
MonthGamesAverage
Apr112:59
May162:58
Jun173:05
Jul93:01
Aug132:48
Sep143:03

By season

184.892.40.005060708091011121314151617181920212223242526

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

Baltimore Orioles are 89-73, a .549 win rate, while their +29 run differential implies .518. That is about 5 wins ahead of it, usually a mix of bullpen sequencing and one-run luck.