DataBaseball
2026

2022 season · rankings

2022 MLB Batting Leaders

130 players qualified at 502.2 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
130 of 130 qualifiedDownload Parquet
#
1Aaron JudgeRF301576966213116.311.425.686.37515.9%25.1%.46170.2%95.923.1%62.1%20610.7
2Jose Altuve2B32141604285718.300.387.533.23310.9%14.4%.40083.7%84.86.8%29.9%1637.1
3Paul Goldschmidt1B35151651351157.317.404.578.26012.1%21.7%.42273.2%90.710.6%47.5%1826.9
4Austin Riley3B2515969338932.273.349.528.2558.2%24.2%.37972.4%92.514.0%50.9%1506.6
5Manny Machado3B30150644321029.298.366.531.2349.8%20.7%.38375.1%91.58.9%49.0%1606.3
6Yordan AlvarezDH2513556137971.306.406.613.30613.9%18.9%.42976.5%95.219.2%60.0%1846.2
7Trea TurnerSS291607082110027.298.343.466.1696.4%18.5%.35173.7%88.96.7%41.8%1266.1
8Freddie Freeman1B331597082110013.325.407.511.18611.9%14.4%.39580.5%91.39.1%48.1%1566.0
9Xander BogaertsSS3015063115738.307.377.456.1499.0%18.7%.36575.2%88.15.6%39.6%1345.9
10Nolan Arenado3B31148620301035.293.358.533.2418.4%11.6%.38380.9%88.87.8%39.0%1545.9
11Rafael Devers3B2614161427883.295.358.521.2258.1%18.6%.37571.8%93.010.6%51.1%1405.6
12J.T. RealmutoC31139562228421.276.342.478.2027.3%21.2%.35674.3%90.310.3%47.3%1295.5
13Bo BichetteSS24159697249313.290.333.469.1795.9%22.2%.34977.0%91.98.3%50.8%1285.4
14José Ramírez3B301576852912620.280.355.514.23510.1%12.0%.36584.7%87.76.1%37.0%1405.4
15Carlos CorreaSS2813659022640.291.366.467.17610.3%20.5%.36478.0%89.910.6%44.7%1415.3
16Francisco LindorSS291617062610716.270.339.449.1798.4%18.8%.34377.1%89.27.6%41.4%1275.3
17Juan SotoRF2415366427626.242.401.452.21020.3%14.5%.38080.7%90.911.2%47.4%1485.2
18Alex Bregman3B2815565623931.259.366.454.19513.3%11.7%.36185.1%88.95.8%37.9%1365.2
19Brandon NimmoCF2914967316643.274.367.433.15910.5%17.2%.35580.4%88.56.2%40.0%1365.0
20Andrés Giménez2B24144557176920.297.371.466.1696.1%20.1%.36673.6%85.55.7%37.8%1415.0
21Julio RodríguezCF22132560287525.284.345.509.2257.1%25.9%.36769.6%92.011.8%51.2%1445.0
22Mookie BettsRF30141639358212.269.340.533.2648.6%16.3%.37583.5%90.58.7%45.2%1435.0
23Dansby SwansonSS28162696259618.277.329.447.1707.0%26.1%.33969.3%90.29.8%46.4%1215.0
24Jeff McNeil2B301455899624.326.382.454.1286.8%10.4%.36784.1%86.72.5%30.3%1454.8
25Will SmithC2713757824871.260.343.465.2059.7%16.6%.35180.7%89.98.4%43.0%1254.6
26Yandy Díaz3B311355589573.296.401.423.12714.0%10.8%.36985.7%92.24.9%49.6%1444.4
27Corey SeagerSS2815166333833.245.317.455.2118.7%15.5%.33373.5%91.110.5%45.6%1144.3
28Bryan ReynoldsCF2714561427627.262.345.461.1999.1%23.0%.35172.2%90.27.2%42.9%1254.1
29Pete Alonso1B28160685401315.271.352.518.2469.8%18.7%.36775.8%89.811.9%44.8%1454.0
30Kyle SchwarberLF29155669469410.218.323.504.28612.9%29.9%.35770.7%92.919.6%54.5%1304.0
31Eugenio Suárez3B3115062931870.236.332.459.22311.6%31.2%.34766.9%89.814.0%43.6%1294.0
32Sean MurphyC2814861218661.250.332.426.1779.2%20.3%.33476.0%88.79.3%41.4%1173.9
33Nathaniel Lowe1B2715764527762.302.358.492.1917.4%22.8%.37075.1%90.19.7%44.9%1393.9
34Taylor WardRF2913556423655.281.360.473.19210.6%21.3%.36477.7%90.011.3%43.0%1343.7
35José Abreu1B3515767915750.304.378.446.1419.1%16.2%.36476.8%92.29.1%51.9%1323.7
36Willy AdamesSS2713961731988.238.298.458.2207.9%26.9%.32671.8%88.911.0%43.6%1123.7
37George SpringerCF33133583257614.267.342.472.2059.3%17.2%.35471.8%88.77.2%42.4%1313.7
38Tommy Edman2B27151630135732.265.324.400.1357.3%17.6%.31979.4%88.45.2%38.1%1083.6
39Alejandro KirkC2413954114630.285.372.415.13011.6%10.7%.34984.6%90.55.5%45.5%1283.6
40Kyle TuckerRF251506093010725.257.330.478.2219.7%15.6%.34980.0%89.88.2%42.4%1273.6
41Marcus Semien2B32161724268325.248.304.429.1817.3%16.6%.31979.4%87.35.9%34.9%1043.5
42Matt Chapman3B2915462127762.229.324.433.20411.0%27.4%.33371.3%92.211.6%51.3%1163.5
43Shohei OhtaniDH28157666349511.273.356.519.24610.8%24.2%.37171.9%92.715.5%49.9%1393.5
44Brandon Drury3B3013756828872.263.320.492.2306.7%22.2%.35178.5%89.19.7%42.5%1223.3
45Vladimir Guerrero Jr.1B2316070632978.274.339.480.2058.2%16.4%.35375.6%92.810.7%50.9%1313.3
46Amed RosarioSS27153670117118.283.312.403.1213.7%16.6%.31279.0%88.44.3%38.4%1023.2
47Steven KwanLF2514763865219.298.373.400.1019.7%9.4%.34391.0%84.71.4%20.9%1243.2
48Nico HoernerSS25133517105520.281.327.410.1295.4%11.0%.32085.8%87.12.2%33.9%1093.1
49Bobby Witt Jr.SS22150632208030.254.294.428.1744.7%21.4%.31274.8%89.78.5%38.8%1003.1
50Gio Urshela3B3114055113641.285.338.429.1447.4%17.4%.33478.6%88.96.6%38.0%1193.1
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 →