DataBaseball
2026

2015 season · rankings

2015 MLB Batting Leaders

142 players qualified at 502 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
142 of 142 qualifiedDownload Parquet
#
1Bryce HarperRF2315365442996.330.460.649.31919.0%20.0%.46873.1%91.612.0%51.1%2079.7
2Mike TroutCF24159682419011.299.402.590.29013.5%23.2%.42178.0%93.516.0%52.6%1808.5
3Josh Donaldson3B30158711411236.297.371.568.27110.3%18.7%.40374.7%93.013.2%52.2%1657.9
4Joey Votto1B32158695298011.314.459.541.22820.6%19.4%.43476.0%90.411.1%46.9%1767.8
5Paul Goldschmidt1B281586953311021.321.435.570.24917.0%21.7%.42374.8%92.913.2%52.4%1727.3
6Andrew McCutchenCF29157685239611.292.401.488.19614.3%19.4%.38673.9%91.09.2%47.0%1516.6
7AJ PollockCF28156673207639.315.367.498.1827.9%13.2%.37582.9%89.75.8%45.4%1386.4
8Manny Machado3B23162713358620.286.359.502.2169.8%15.6%.37582.4%92.38.9%48.7%1346.4
9Matt Carpenter3B3015466528844.272.365.505.23312.2%22.7%.37878.5%89.110.1%40.2%1465.9
10Kris Bryant3B23151650269913.275.369.488.21311.8%30.6%.37664.4%89.910.8%47.4%1445.8
11Nolan Arenado3B24157665421302.287.323.575.2875.1%16.5%.37578.8%91.58.3%46.8%1255.7
12José BautistaRF35153666401148.250.377.536.28516.5%15.9%.39579.6%93.412.7%53.1%1595.6
13Nelson CruzRF3515265544933.302.369.566.2649.0%25.0%.40069.3%93.914.3%55.9%1655.4
14Buster PoseyC2815062319952.318.379.470.1539.0%8.3%.36786.7%89.45.6%42.4%1425.3
15Anthony Rizzo1B261607013110117.278.387.512.23411.1%15.0%.38980.8%89.28.1%42.5%1535.2
16Chris Davis1B29159670471172.262.361.562.30012.5%31.0%.39564.4%92.216.9%49.9%1485.2
17Lorenzo CainCF29140604167228.307.361.477.1716.1%16.2%.36481.0%90.85.6%44.2%1325.0
18Miguel Cabrera1B3211951118761.338.440.534.19615.1%16.0%.41976.9%94.310.1%56.8%1774.9
19Jose Altuve2B25154689156638.313.353.459.1464.8%9.7%.35088.7%86.23.3%31.8%1264.9
20Mookie BettsCF23143654187721.291.341.479.1887.0%12.5%.35585.3%91.24.3%43.5%1214.8
21Charlie BlackmonCF29156682175843.287.347.450.1636.7%16.4%.34984.0%86.73.7%33.7%1094.7
22Edwin EncarnaciónDH32146624391113.277.372.557.28012.3%15.7%.39776.9%91.310.5%50.5%1614.6
23J.D. MartinezRF28158657381023.282.344.535.2538.1%27.1%.37769.2%91.716.0%52.0%1464.6
24Yoenis CespedesLF30158676351057.291.328.542.2514.9%20.9%.37176.4%92.612.0%49.5%1424.6
25Xander BogaertsSS2315465478110.320.355.421.1014.9%15.4%.34179.5%88.32.7%38.5%1114.6
26Adam EatonCF27153689145618.287.361.431.1448.4%19.0%.35081.4%87.73.9%36.0%1274.6
27Jason Kipnis2B2814164195212.303.372.451.1498.9%16.7%.35983.2%89.42.7%43.0%1214.5
28Mike Moustakas3B2714661422821.284.348.470.1867.0%12.4%.35783.3%89.86.9%43.7%1284.4
29Michael BrantleyLF28137596158415.310.379.480.17010.1%8.6%.37291.3%89.53.6%39.9%1294.3
30Shin-Soo ChooRF3314965322824.276.375.463.18711.6%22.5%.37073.1%91.38.3%49.4%1324.3
31Todd Frazier3B29157678358913.255.309.498.2426.5%20.2%.34675.1%90.59.9%45.5%1174.3
32Dee Strange-Gordon2B2714565344658.333.359.418.0853.8%13.9%.33986.0%84.41.1%20.4%1174.2
33Ryan BraunRF32140568258424.285.356.498.2139.5%20.2%.37077.0%93.212.8%53.6%1344.1
34Francisco CervelliC291295107431.295.370.401.1069.0%18.4%.34480.9%88.14.3%38.6%1224.0
35David PeraltaLF2814551717789.312.371.522.2108.5%20.7%.38475.6%92.58.0%50.0%1454.0
36Dexter FowlerCF29156690174620.250.346.411.16112.2%22.3%.33878.0%87.84.7%33.9%1164.0
37Curtis GrandersonRF34157682267011.259.364.457.19813.3%22.1%.36279.2%90.07.7%43.6%1374.0
38Logan Forsythe2B2815261517689.281.359.444.1638.9%18.0%.35481.4%89.23.7%36.2%1274.0
39Carlos GonzálezRF3015060840972.271.325.540.2697.6%21.9%.36869.4%90.810.9%44.8%1213.9
40Yunel Escobar3B331385919562.314.375.415.1017.6%11.8%.35182.3%90.13.3%41.4%1243.9
41Kyle Seager3B2816168626746.266.328.451.1857.9%14.3%.33882.4%89.46.7%37.4%1193.8
42Russell MartinC3212750723774.240.329.458.21810.5%20.9%.34576.5%90.69.4%47.8%1233.8
43Ian Kinsler2B33153675117310.296.342.428.1316.4%11.9%.33887.7%86.43.0%29.9%1183.8
44David OrtizDH40146614371080.273.360.553.28012.5%15.5%.38476.9%93.913.0%54.4%1393.7
45Adrian Beltré3B3614361918831.287.334.453.1666.6%10.5%.34183.2%90.15.4%43.8%1123.7
46Robinson Canó2B3315667421792.287.334.446.1596.4%15.9%.33880.9%91.97.6%51.1%1193.6
47Matt Duffy3B24149612127712.295.334.428.1334.9%15.7%.33481.9%88.23.5%35.9%1183.5
48Brandon CrawfordSS2814356121846.256.321.462.2057.0%21.2%.33672.0%90.69.9%49.7%1193.5
49Troy TulowitzkiSS3112853417701.280.337.440.1607.1%21.3%.33877.0%90.95.7%45.7%1023.5
50DJ LeMahieu2B2715062066123.301.358.388.0878.1%17.3%.33083.6%90.82.0%46.7%973.5
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 →