Tommy Edman2B Los Angeles Dodgers
INJURED · Injured 10-Day (D10)
Age 31 S/R 5'10" / 193 lbs MLB HR +15%K -3% Svc 7.000 · Ctrl thru 2030 peak 1.6 · 2027
wRC+†vL 131109vR 63
AVG/OBP/SLG.261 / .318 / .418
PA169
HR5
SB5
K%17
BB%7
xwOBA.321
Barrel%4.5%
MLB%100%
BAT: +1.8 runs (wOBA-derived runs vs avg)+2BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: +1.7 runs (Defensive runs vs avg)+2FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +1.00+1.0WAR
Scouting · nowfuture
HIT
5555
PWR
4040
SPD
6060
EYE
4250
trajectory · 10 yrs
1.3peak
2027
Barrel%
214.5
xwOBA
610.321
Avg EV
3988.3
Whiff%
820.077
Chase%
440.329
Speed
7328.4
Bat Spd
3970.2

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2030
First FA Year   2031
DEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$12M+1.0$8M-$4M
2027Ext / FA-deal$12M+1.6$13M+$1M
2028Ext / FA-deal$11M+1.2$10M-$1M
2029Ext / FA-deal$11M+0.7$3M-$8M
2030Ext / FA-deal$13M+0.2$0.9M-$12M
Totals $60M $35M -$24M
Underwater contract
Projected production over the remaining contract is worth -$24M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201722 AA3 teams 495456 1041974 26934 135 .228.276.327.602 .099.275 195 .261 58 -24 +1 +0 +2 +14 -0.7
201823 AA3 teams 625577 1542246 321235 356 .267.311.350.661 .083.325 205 .288 79 -15 +5 +0 +2 +18 1.0
201924 MLB2 teams 567528 14728818 261049 241 .278.323.464.787 .186.316 185 .340 118 +12 +4 +8 +2 +16 4.3
202025 MLBSt. Louis Cardinals 227204 53815 16485 24 .260.329.382.711 .123.314 217 .311 96 -1 -1 +3 +1 +6 0.8
202126 MLBSt. Louis Cardinals 691641 16539312 38956 305 .257.305.384.689 .126.284 145 .304 91 -7 +4 +10 +2 +20 3.0
202227 MLBSt. Louis Cardinals 630577 15332512 461115 323 .265.325.400.725 .135.310 187 .319 102 +1 +5 +16 +7 +18 4.9
202328 MLBSt. Louis Cardinals 528479 11827413 35847 274 .246.307.401.708 .154.272 167 .307 93 -4 +4 +8 +6 +15 2.9
202429 MLB3 teams 210188 44617 18451 70 .234.304.388.693 .154.266 219 .300 88 -3 +1 +1 +1 +6 0.7
202530 MLB2 teams 394361 8112111 21646 31 .224.278.355.633 .130.241 165 .279 72 -12 +0 +7 +1 +11 0.8
▸ 2026 Season
202631 MLBLAD 169154 40715 11282 51 .260.317.416.733 .156.290 177 .328 109 +2 +1 +2 +1 +5 1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBLAD 357327 8415210 23624 92 .257.314.407.720 .150.289 176 .323 106 +2 +1 -0 +1 +10 1.5
202833 MLBLAD 327299 761329 21594 71 .254.312.401.713 .147.287 186 .317 101 +0 +1 -1 +1 +9 1.1
202934 MLBLAD 283260 651127 18543 51 .250.306.388.695 .138.286 196 .311 96 -1 +1 -2 +1 +8 0.6
203035 MLBLAD 231211 52916 15463 40 .246.306.384.690 .137.284 206 .302 90 -3 +1 -3 +1 +7 0.2
203136 MLBLAD 175160 38614 11372 30 .237.295.362.657 .125.281 216 .293 82 -3 +1 -5 +1 +5 -0.2
▸ Career Totals (MLE all levels + projections)
Career 59095422 137425443129 357105366 20634 .253.307.387.695 .134.291 186 .305 92 -57 +28 +44 +29 +167 21.7
/ 162G 650596 15128514 391167 234 .253.307.388.694 .134.291 186 .305 92 -6 +3 +5 +3 +18 2.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201722 AASpringfield Cardinals 239219 541222 16341 52 .247.301.347.648 .100.281 147 .289 79 -6 +0 +7 0.1
201722 A+Palm Beach Cardinals 8270 18211 7182 01 .257.342.357.699 .100.327 229 .308 94 -1 -0 +2 0.1
201722 APeoria Chiefs 174155 44852 15191 82 .284.351.439.790 .155.309 119 .345 122 +4 +1 +5 1.0
201823 AAAMemphis Redbirds 7666 21011 8110 30 .318.392.394.786 .076.357 1411 .348 125 +2 +1 +2 0.5
201823 AASpringfield Cardinals 498452 1352336 35763 275 .299.353.403.756 .104.345 157 .335 114 +8 +3 +14 2.6
201823 INTLSurprise Saguaros 5139 9200 972 51 .231.400.282.682 .051.273 1418 .327 108 +0 +1 +1 0.3
201924 MLBSt. Louis Cardinals 349326 9917711 16617 151 .304.350.500.850 .196.346 175 .373 144 +17 +3 +8 +2 +10 4.1
201924 AAAMemphis Redbirds 218197 601247 15332 90 .305.360.513.873 .208.333 157 .375 145 +11 +2 +6 2.0
202025 MLBSt. Louis Cardinals 227204 51715 16485 24 .250.320.368.688 .118.301 217 .309 95 -1 -1 +3 +1 +6 0.8
202126 MLBSt. Louis Cardinals 691641 16841311 38956 305 .262.309.387.696 .125.291 145 .309 95 -4 +4 +10 +2 +20 3.3
202227 MLBSt. Louis Cardinals 630577 15331413 461115 323 .265.325.400.725 .135.308 187 .324 106 +4 +5 +16 +7 +18 5.2
202328 MLBSt. Louis Cardinals 528479 11925413 35847 274 .248.309.399.708 .150.275 167 .312 97 -2 +4 +8 +6 +15 3.1
202429 MLBLos Angeles Dodgers 153139 33516 11301 60 .237.298.417.715 .180.257 207 .313 98 -0 +1 +1 +1 +4 0.7
202429 AAAOklahoma City Baseball Club 2317 5001 620 10 .294.478.471.949 .176.286 926 .430 187 +2 +0 +1 0.3
202429 AASpringfield Cardinals 3429 6100 490 00 .207.303.241.544 .034.286 2612 .253 52 -2 +0 +1 -0.1
202530 MLBLos Angeles Dodgers 377346 7813113 19616 31 .225.278.382.659 .156.235 165 .290 80 -9 +0 +7 +1 +11 1.1
202530 AAAOklahoma City Comets 1714 4000 320 00 .286.412.286.697 .000.333 1218 .336 115 +0 +0 +0 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 29552712 7011392172 18149037 11518 .258.314.405.719 .146.290 176 .318 102 +5 +16 +54 +20 +84 18.2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Tommy Edman (OGILVIE) 31 55 40 60 50 .261/.318/.418 .157.290 55 17% 7% 109 +0.7
Jonathan Villar
2022 · MLB
31 51→58 50 54→65 49 .255/.323/.410 .155.320 1825 25% 9% 108 +2.3 .231/.288/.367 .136.299 1520 26% 7% 82 +0.5 .212/.258/.326.114.279112527%6%54-0.9
David Newhan
2005 · MLB
31 58→63 47→50 58→55 49 .284/.338/.425 .141.330 1315 18% 7% 118 +3.0 .253/.314/.385 .132.293 1317 18% 7% 98 +1.6 .256/.306/.403.147.301151620%6%96+0.6
Will Venable
2014 · MLB
31 51→56 52→55 61→60 47 .256/.313/.434 .178.304 1827 22% 7% 110 +2.4 .235/.296/.363 .128.294 1319 23% 8% 85 +0.7 .216/.282/.309.093.27791624%8%60-0.7
Dioner Navarro
2015 · MLB
31 54→61 47→50 46→45 50 .270/.320/.401 .131.293 164 14% 7% 104 +2.0 .240/.297/.367 .127.274 154 18% 7% 86 +0.8 .208/.275/.313.105.24512120%8%60-0.4
Kolten Wong
2023 · MLB
32 52→60 49→50 51→55 52 .260/.337/.419 .159.294 1516 17% 8% 117 +2.9 .224/.298/.352 .128.266 1312 20% 8% 83 +0.6 .183/.254/.261.078.2278822%7%41-0.7
Rene Reyes
2009 · AAA
31 54→64 50→55 53→50 47 .271/.316/.427 .156.300 1817 17% 6% 110 +2.4 .280/.331/.436 .156.314 1614 16% 7% 118 +3.0 .282/.337/.441.159.314171216%7%121+2.4
Jace Peterson
2021 · MLB
31 48→57 47→50 55 53 .236/.314/.383 .147.285 1419 22% 10% 98 +1.6 .235/.321/.376 .141.299 1518 24% 11% 98 +1.6 .224/.316/.346.123.287122025%11%82+0.3
Alejandro De Aza
2015 · MLB
31 53→61 46→50 52→55 48 .259/.322/.395 .136.316 1219 21% 8% 103 +1.9 .241/.311/.378 .137.301 1213 23% 8% 95 +1.4 .242/.306/.359.117.291101020%7%85+0.2
Eduardo Núñez
2019 · MLB
32 55→62 48→50 53→60 45 .274/.306/.413 .139.294 1522 14% 4% 102 +1.8 .242/.275/.362 .120.268 1313 15% 4% 75 -0.0 .212/.229/.289.077.23791615%2%33-0.9
Robbie Grossman
2022 · MLB
32 48→57 51→45 52→50 60 .243/.349/.412 .168.287 1816 21% 13% 120 +3.1 .224/.329/.359 .135.287 1310 24% 13% 98 +1.6 .212/.320/.319.107.2819525%13%80+0.2
Jose Castillo
2012 · AAA
31 55→59 46→50 51→50 47 .271/.307/.401 .130.283 1417 11% 5% 98 +1.6 .280/.307/.420 .140.298 1813 13% 4% 104 +2.0 .282/.308/.421.138.303181013%3%103+1.4
Ángel Pagán
2012 · MLB
31 56→63 44→55 59→60 52 .270/.325/.399 .129.302 1030 14% 8% 105 +2.1 .275/.328/.405 .130.311 924 14% 7% 108 +2.3 .286/.336/.412.127.32382313%7%108+1.8
Daniel Descalso
2018 · MLB
31 48→54 48→50 51→45 56 .237/.325/.382 .146.282 157 21% 11% 102 +1.9 .224/.326/.382 .158.287 165 25% 13% 103 +1.9 .202/.317/.357.155.26316227%14%88+0.5
Darnell McDonald
2011 · MLB
32 51→56 49→55 56→55 44 .255/.302/.417 .162.313 1515 24% 6% 101 +1.8 .231/.292/.375 .144.280 1511 22% 7% 86 +0.8 .205/.271/.320.115.24612921%8%61-0.4
Rafael Ortega
2022 · MLB
31 48→54 53→55 49→55 49 .246/.310/.423 .177.290 2116 23% 8% 106 +2.2 .231/.317/.368 .137.280 1520 22% 11% 95 +1.4 .216/.314/.341.125.264132422%12%84+0.4
Carlos Colmenares
2017 · AAA
31 53→54 47→40 60→50 44 .258/.301/.419 .161.318 1116 22% 6% 100 +1.7 .240/.282/.353 .113.289 915 19% 5% 76 +0.0 .251/.287/.330.079.29741716%5%68-0.1
Jose Guadalupe Chavez
2016 · AAA
31 49→57 44→45 49→55 50 .239/.301/.356 .117.283 129 20% 8% 85 +0.7 .267/.339/.377 .110.314 810 16% 9% 105 +2.1 .283/.360/.370.087.3304914%10%110+1.3
Kazuo Matsui
2007 · MLB
31 53→60 42→45 55→60 47 .254/.304/.365 .111.298 915 18% 6% 88 +0.9 .265/.318/.381 .116.307 826 16% 7% 98 +1.6 .266/.322/.379.113.30583015%7%96+1.1
Greg Dobbs
2009 · MLB
31 54→56 49→55 50 47 .271/.318/.427 .157.308 1610 18% 6% 110 +2.4 .249/.297/.397 .148.287 176 19% 6% 94 +1.3 .260/.307/.357.097.3049317%6%77+0.1
Jon Berti
2021 · MLB
31 55→59 45 58→60 52 .263/.346/.393 .130.330 1330 23% 9% 113 +2.6 .240/.325/.352 .112.306 1031 23% 10% 94 +1.3 .259/.328/.356.097.32383921%9%90+0.6