DataBaseball
2026
Kansas City Royals logo

American League Central · 2017

Kansas City Royals 2017

Team WAR
25.0
13.4 bat / 11.7 pitch
Win %
.494
pyth .446
Run diff
-89
4.33 / 4.88 per g
wRC+
96
ERA
4.60
FIP 4.42
Home runs
189

The Kansas City Royals went 80-82 in 2017, a .494 winning percentage — 14th of 30 record in baseball. They scored 702 runs and allowed 791, a run differential of -89. The offence ranked 24th of 30 in MLB for runs scored, while their 4.60 staff ERA was 18th of 30. Their 96 team wRC+ was 4% below league average — 18th of 30 in MLB. Eric Hosmer led the position players at 4.3 WAR, and Danny Duffy the rotation at a 3.81 ERA.

Where the offence comes from

Roster contribution by share of the team total.

1,373 team hits
Eric Hosmer192Eric Hosmer — 192 hits (14.0%)Lorenzo Cain175Lorenzo Cain — 175 hits (12.7%)Whit Merrifield169Whit Merrifield — 169 hits (12.3%)Mike Moustakas151Mike Moustakas — 151 hits (11.0%)Alcides Escobar150Alcides Escobar — 150 hits (10.9%)Salvador Perez126Salvador Perez — 126 hits (9.2%)Alex Gordon99Alex Gordon — 99 hits (7.2%)Jorge Bonifacio98Jorge Bonifacio — 98 hits (7.1%)Brandon Moss75Brandon Moss — 75 hits (5.5%)Drew Butera37Drew Butera — 37 hits (2.7%)Cheslor Cuthbert33Cheslor Cuthbert — 33 hits (2.4%)18Ramón Torres — 18 hits (1.3%)17Paulo Orlando — 17 hits (1.2%)14Jorge Soler — 14 hits (1.0%)Adalberto Mondesi — 9 hits (0.7%)Cam Gallagher — 6 hits (0.4%)Ian Kennedy — 1 hits (0.1%)Danny Duffy — 1 hits (0.1%)Jason Vargas — 1 hits (0.1%)Billy Burns — 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

24 players, ranked by dbWAR.

Eric Hosmer1B16267119225946.318.385.498.3801414.3
Lorenzo CainCF155645175154926.300.363.440.3501204.0
Whit Merrifield2B144630169197834.288.324.460.3361103.1
Mike Moustakas3B14859815138850.272.314.521.3481182.8
Salvador PerezC12849912627801.268.297.495.3321072.0
Jorge BonifacioRF1114229817401.255.320.432.3261030.9
Cam GallagherC11276150.250.333.417.3291060.1
Drew ButeraC63177373140.227.284.319.269630.1
Ian KennedyP241000.333.500.333.3961520.1
Danny DuffyP121000.500.500.500.4371810.0
Jason VargasP141000.250.250.250.219280.0
Scott AlexanderP330000.000.000.000.000-125-0.0
Jakob JunisP130000.000.000.000.000-125-0.0
Ramón Torres2B307918041.243.291.284.25957-0.1
Terrance GorePH1050002.000.200.000.142-25-0.1
Jason HammelP390000.000.000.000.000-125-0.1
Alcides EscobarSS1626291506544.250.272.357.27265-0.1
Billy BurnsCF561000.167.167.167.146-23-0.1
Brandon MossDH1164017522502.207.279.428.30488-0.3
Cheslor Cuthbert3B51153332180.231.275.322.26359-0.4
Adalberto Mondesi2B22609135.170.214.245.20619-0.4
Paulo OrlandoRF309017261.198.225.302.23036-0.6
Jorge SolerRF3311014260.144.245.258.22936-0.8
Alex GordonLF146541999457.208.293.315.27366-1.1

Pitching

22 pitchers, ranked by dbWAR.

Danny Duffy2424146.191001303.813.461.268.03.2
Jason Hammel3232180.181301455.294.371.437.22.0
Mike Minor65077.2666882.552.621.0210.21.9
Joakim Soria59056.0431643.702.231.2310.31.7
Jason Vargas3232179.2181101344.164.671.336.71.4
Scott Alexander58069.0544592.483.231.307.71.3
Jakob Junis201698.1930804.304.551.287.30.8
Peter Moylan79059.1000463.494.001.107.00.6
Kevin McCarthy33045.0100273.203.981.405.40.4
Nate Karns9845.1220514.174.481.1910.10.4
Al Alburquerque21018.0020142.502.941.007.00.4
Kelvin Herrera64059.13326564.254.301.358.50.4
Brian Flynn102.100003.863.161.290.00.0
Eric Skoglund7518.0120149.505.052.337.00.0
Miguel Almonte202.0000013.506.163.500.0-0.0
Matt Strahm24334.2250375.455.441.509.6-0.2
Seth Maness809.210043.726.991.863.7-0.2
Onelki Garcia216.0010213.509.322.833.0-0.3
Andrés Machado203.2000122.0912.163.552.5-0.3
Ian Kennedy3030154.051301315.385.611.327.7-0.4
Chris Young14230.0000227.506.222.036.6-0.4
Travis Wood391494.0470656.805.901.736.2-0.9

Attendance

Announced gate at 80 home dates, 2017.

Average
27,755
80 home dates
Median
26,491
Total
2,220,370
Best
40,019
2017-04-10
Quietest
17,727
2017-09-12
On the road
28,458
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 home8027,75526,49117,72740,019
Night5727,36625,91618,60438,848
Day2328,71727,95017,72740,019
Weekend3829,91729,54023,16338,848
Weekday4225,79824,80317,72740,019
On the road8028,45830,0539,32048,017

Through the season

Average home crowd by month.
MonthGamesAverage
Apr1027,137
May1625,300
Jun1429,388
Jul1328,751
Aug1527,803
Sep1225,807
Oct132,277

By season

33439.016719.50.0151617181920212223242526

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, 2017.

Regulation
2:58
151 games
All games
3:02
Extra innings
3:52
11 of them
Longest
4:10
2017-07-21, 10 inn
Shortest
2:19
2017-06-02

By situation

Regulation and extra innings divide the season, and so do home and road. Day and night overlap both.
SplitGamesAvgMedFastestLongest
All1623:022:592:164:45
Regulation1512:582:572:163:44
Extra innings113:523:473:204:45
Home813:002:592:194:10
Road813:032:592:164:45
Day533:023:022:163:49
Night1093:022:572:194:45

Through the season

Average completed game by month.
MonthGamesAverage
Apr102:58
May162:57
Jun142:58
Jul133:17
Aug152:54
Sep122:57
Oct13:31

By season

185.692.80.0151617181920212223242526

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

Kansas City Royals are 80-82, a .494 win rate, while their -89 run differential implies .446. That is about 8 wins ahead of it, usually a mix of bullpen sequencing and one-run luck.