DataBaseball
2026

2018 season · rankings

2018 MLB Batting Leaders

140 players qualified at 502.4 plate appearances, ranked by dbWAR. Every column sorts across the full qualified set — not just the rows shown — and the whole table downloads as Parquet.

TableBattingPitching
PositionLeaguePool
Who
140 of 140 qualifiedDownload Parquet
#
1Mike TroutCF27140608397924.312.460.628.31620.1%20.4%.45281.4%91.816.1%49.5%1949.1
2Mookie BettsRF26136614328030.346.438.640.29413.2%14.8%.45584.5%92.913.0%53.8%1908.5
3Christian YelichLF271466513611022.326.402.598.27210.4%20.7%.42777.1%93.012.7%54.9%1757.5
4Alex Bregman3B241577053110310.286.394.532.24613.6%12.1%.40087.1%89.97.6%43.8%1587.5
5José Ramírez3B261576983910534.270.387.552.28215.2%11.5%.39786.4%89.77.5%38.6%1497.5
6Trevor StorySS261576563710827.291.348.567.2767.2%25.6%.38975.2%91.712.9%50.9%1387.1
7Manny MachadoSS261627093710714.297.367.538.2419.9%14.7%.38077.8%92.111.2%51.3%1447.0
8Francisco LindorSS25158745389225.277.352.519.2429.4%14.4%.37282.5%91.59.8%45.6%1336.8
9J.D. MartinezDH31150649431306.330.402.629.29910.6%22.5%.43271.8%93.314.5%54.3%1756.8
10Nolan Arenado3B27156673381102.297.374.561.26410.8%18.1%.39575.4%90.37.2%43.5%1426.7
11Charlie BlackmonCF32156696297012.291.358.502.2118.5%19.3%.37279.7%87.76.6%37.6%1275.7
12Anthony Rendon3B2813559724922.308.374.535.2279.2%13.7%.38786.1%91.38.5%47.9%1425.6
13Xander BogaertsSS26135580231038.288.360.522.2349.5%17.6%.37879.0%90.99.3%43.7%1385.6
14Javier Báez2B261596453411121.290.326.554.2644.5%25.9%.37166.1%90.912.8%50.0%1345.4
15Bryce HarperRF261596953410013.249.393.496.24718.7%24.3%.38068.6%91.511.5%49.7%1385.4
16Eugenio Suárez3B27142606341041.283.366.526.24310.6%23.4%.38074.3%91.29.5%45.7%1385.3
17Paul Goldschmidt1B3115869033837.290.389.533.24313.0%25.1%.39573.6%91.613.4%47.9%1515.1
18Matt Chapman3B2514561624681.278.356.508.2309.4%23.7%.37476.3%94.69.3%53.5%1465.1
19Trea TurnerSS25162740197343.271.344.416.1459.3%17.8%.33579.8%89.06.0%42.7%1084.9
20Whit Merrifield2B29158707126045.304.367.438.1348.6%16.1%.35381.0%87.24.5%34.0%1224.9
21Matt Carpenter1B3315667736814.257.374.523.26615.1%23.3%.38075.8%90.512.8%47.6%1464.9
22Lorenzo CainCF32140620103830.308.395.417.10911.5%15.2%.36282.2%89.52.9%42.7%1304.9
23Scooter Gennett2B2815463823924.310.357.490.1806.6%19.6%.36579.9%87.85.2%35.0%1284.7
24Jose Altuve2B28137599136117.316.386.451.1359.2%13.2%.36782.1%87.25.5%37.4%1344.7
25Freddie Freeman1B29162707239810.309.388.505.19610.7%18.7%.38275.7%89.39.0%41.1%1404.6
26Mitch HanigerRF2815768326938.285.366.493.20810.2%21.7%.37176.7%90.69.1%44.9%1434.6
27Brandon NimmoRF2513853517479.263.404.483.21915.0%26.2%.39173.5%90.06.7%45.8%1634.5
28Aaron HicksCF29137581277911.248.366.467.21915.5%19.1%.36476.9%90.59.3%48.2%1274.5
29Miguel Andujar3B2314960627922.297.328.527.2304.1%16.0%.36580.3%89.76.6%39.5%1284.4
30Yasmani GrandalC3014051824682.241.349.466.22513.9%23.9%.35672.0%89.611.0%43.6%1314.4
31Jed Lowrie2B3415768023990.267.353.448.18111.5%18.8%.35179.6%89.35.1%39.8%1294.3
32J.T. RealmutoC2712553121743.277.340.484.2087.2%19.6%.35777.5%89.49.2%44.4%1374.2
33Didi GregoriusSS28134569278610.268.335.494.2268.4%12.1%.35480.5%86.94.6%34.0%1214.2
34Andrew BenintendiLF24147661168721.290.366.465.17410.7%16.0%.36280.8%89.26.3%37.3%1284.2
35David PeraltaLF3114661430874.293.352.516.2237.8%20.2%.37276.3%91.98.0%49.1%1354.0
36Nick CastellanosRF2615767823892.298.354.500.2027.2%22.3%.36769.8%89.910.8%42.4%1364.0
37Eduardo Escobar3B2915063123842.272.334.489.2178.2%20.0%.35076.1%86.78.4%29.2%1224.0
38Tommy PhamCF30136570216315.275.367.464.18811.8%24.6%.36374.6%93.510.0%54.1%1343.9
39Rhys HoskinsLF2515366034965.246.354.496.25113.2%22.7%.36878.1%89.810.9%43.6%1333.9
40Travis Shaw3B2815058732865.241.345.480.23913.3%18.4%.35479.8%89.29.6%42.3%1253.8
41Jurickson ProfarSS25145594207710.254.335.458.2049.1%14.8%.34681.3%87.74.6%34.1%1083.8
42Joey Votto1B3514462312672.284.417.419.13517.3%16.2%.37482.1%88.26.6%35.8%1343.6
43Michael BrantleyLF31143631177612.309.364.468.1607.6%9.5%.36289.0%90.23.7%40.5%1263.6
44José PerazaSS24156683145823.288.326.416.1284.2%11.0%.32286.2%85.32.5%25.1%993.5
45Giancarlo StantonDH29158705381005.266.343.509.2439.9%29.9%.36365.6%94.815.1%55.2%1273.5
46Starling MarteCF30145606207233.277.327.460.1825.8%18.0%.34175.9%88.67.7%42.7%1203.5
47Chris TaylorSS2815160417639.254.331.444.1909.1%29.5%.34068.5%89.47.5%41.5%1193.4
48Jesús Aguilar1B28148566351080.274.352.539.26410.2%25.3%.37771.3%90.111.0%44.3%1403.4
49Jean SeguraSS28144632106320.304.341.415.1115.1%10.9%.32987.4%88.13.5%36.1%1133.4
50Andrelton SimmonsSS29146600117510.292.337.417.1255.8%7.3%.32986.3%88.23.3%38.9%1093.4
Reading this table

wOBA weights each offensive outcome by the runs it is actually worth, using weights measured from this season's own play-by-play. wRC+ indexes that against the league and adjusts for park, so 100 is average. dbWAR is our own open implementation, not fWAR or bWAR. See the full derivation →