Christian YelichLF Milwaukee Brewers
INJURED · Injured 10-Day (D10)
Age 34 L/R 6'4" / 220 lbs MLB BB +10%HR +7% Svc 13.000 · Ctrl thru 2029 peak 2.0 · 2027
wRC+†vL 106136vR 144
AVG/OBP/SLG.279 / .361 / .470
PA254
HR11
SB10
K%24
BB%11
MLB%100%
BAT: +10.3 runs (wOBA-derived runs vs avg)+10BATRUN: +2.0 runs (SB/CS + UBR baserunning)+2RUNFLD: -2.2 runs (Defensive runs vs avg)-2FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.2 runs (Replacement-level credit)+7REPTotal WAR: +1.40+1.4WAR
Scouting · nowfuture
HIT
5858
PWR
4650
SPD
5858
FLD
5555
EYE
5858
trajectory · 10 yrs
2.7peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2013
Service   13.000 yrs.days
Team Control Through   2029
First FA Year   2030
NTCDEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$24M+1.4$11M-$13M
2027Ext / FA-deal$24M+2.0$16M-$7M
2028Ext / FA-deal$24M+1.3$11M-$13M
2029Ext / FA-deal$20M+0.5$2M-$18M
Totals $92M $41M -$51M
Underwater contract
Projected production over the remaining contract is worth -$51M 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
201018 ROK2 teams 5048 13210 2180 10 .271.300.354.654 .083.433 364 .267 62 -2 +0 +0 -1 +1 -0.1
201119 AGreensboro Grasshoppers 521488 12126111 281423 325 .248.293.373.666 .125.326 275 .289 79 -12 +4 +0 -6 +15 0.1
201220 A+2 teams 546500 13833313 441551 237 .276.336.432.768 .156.377 288 .332 112 +8 +2 +0 -6 +15 1.9
201321 MLB4 teams 543486 12723612 521502 155 .261.335.407.743 .146.352 2810 .324 106 +4 +1 -1 -6 +15 1.4
201422 MLBMiami Marlins 660582 1632739 701373 217 .280.360.383.743 .103.352 2111 .324 106 +5 +1 -0 -7 +19 1.8
201523 MLBMiami Marlins 525476 1443227 471012 165 .303.368.422.790 .120.372 199 .343 120 +12 +1 -8 -6 +15 1.5
201624 MLBMiami Marlins 659578 18235422 721384 94 .315.394.503.898 .189.378 2111 .385 153 +40 +0 +2 -7 +19 5.5
201725 MLBMiami Marlins 695603 17141218 801376 162 .284.373.448.821 .164.337 2012 .349 125 +20 +2 -3 +2 +20 4.3
201826 MLBMilwaukee Brewers 651574 18434533 681357 224 .321.399.570.969 .249.370 2110 .414 175 +55 +3 -2 -7 +18 6.9
201927 MLBMilwaukee Brewers 580489 16128443 801188 302 .329.432.6671.098 .337.356 2014 .438 194 +61 +5 -10 -6 +16 6.9
202028 MLBMilwaukee Brewers 247200 417112 46761 42 .205.356.430.786 .225.259 3119 .345 122 +6 +0 -4 -3 +7 0.7
202129 MLBMilwaukee Brewers 475399 1022029 701133 93 .256.371.383.754 .128.332 2415 .326 108 +4 +1 -2 -5 +13 1.2
202230 MLBMilwaukee Brewers 671575 14424513 881625 193 .250.355.377.732 .127.326 2413 .313 97 -2 +3 -7 -7 +19 0.5
202331 MLBMilwaukee Brewers 632550 14835118 781403 283 .269.363.435.797 .165.331 2212 .343 120 +15 +4 -3 -7 +18 2.7
202432 MLBMilwaukee Brewers 315271 8612310 40582 211 .317.409.494.903 .177.373 1813 .381 150 +18 +4 -3 -3 +9 2.5
202533 MLBMilwaukee Brewers 644573 15321027 641676 166 .267.347.445.792 .178.332 2610 .337 116 +12 +1 -3 -7 +18 2.2
▸ 2026 Season (actual · ROS · total)
202634 MLBMilwaukee Brewers 5651 16211 5140 30 .314.375.451.826 .137.417 259 .339 118 +1 +1 -0 -1 +2 0.3
ROS34 MLBMIL 198174 50718 21481 71 .287.367.477.844 .190.348 2411 .370 141 +9 +1 -2 -2 +6 1.2
TOT34 MLBMIL 254225 66929 26621 101 .293.369.471.840 .178.368 2410 .363 136 +10 +2 -2 -3 +7 1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202735 MLBMIL 495438 12318219 511093 183 .281.360.461.821 .180.329 2210 .361 134 +19 +2 -11 -5 +14 2.0
202836 MLBMIL 433383 10515216 441003 152 .274.353.449.803 .175.327 2310 .351 127 +13 +2 -11 -5 +12 1.2
202937 MLBMIL 367325 8512112 37882 122 .262.341.415.756 .154.323 2410 .340 119 +8 +2 -11 -4 +10 0.5
203038 MLBMIL 296263 67919 29732 91 .255.333.399.733 .144.318 2510 .329 110 +3 +1 -11 -3 +8 -0.1
203139 MLBMIL 221197 49616 21561 60 .249.324.381.705 .132.312 2510 .317 101 +0 +1 -11 -2 +6 -0.6
203240 MLBMIL 149133 32404 14381 40 .241.318.361.678 .120.310 269 .312 97 -0 +1 -11 -2 +4 -0.8
▸ Career Totals (MLE all levels + projections)
Career 105739305 258947151331 1146245969 35368 .278.362.447.808 .168.344 2311 .348 125 +295 +43 -110 -103 +300 43.3
/ 162G 650572 15929320 701514 224 .278.361.444.805 .166.344 2311 .348 125 +18 +3 -7 -6 +18 2.7

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
201018 AGreensboro Grasshoppers 2423 8200 160 00 .348.375.435.810 .087.471 254 .362 135 +1 +0 +1 0.2
201018 ROKGCL Marlins 2624 9110 270 10 .375.423.500.923 .125.529 278 .409 171 +2 +0 +1 0.3
201119 AGreensboro Grasshoppers 521461 14432115 551023 325 .312.389.484.873 .171.373 2011 .387 154 +32 +4 +15 5.2
201220 A+Jupiter Hammerheads 447397 13129512 49850 206 .330.404.519.922 .189.397 1911 .406 169 +35 +2 +13 5.0
201220 INTLPhoenix Desert Dogs 9993 28610 5171 31 .301.343.387.731 .086.368 175 .329 110 +1 +0 +3 0.4
201321 MLBMiami Marlins 273240 691214 31661 100 .287.371.396.767 .108.380 2411 .347 124 +7 +2 -1 -6 +8 1.1
201321 AAJacksonville Suns 222193 541367 26521 55 .280.368.518.886 .238.346 2312 .384 152 +13 -1 +6 1.9
201321 A+Jupiter Hammerheads 3026 6002 480 00 .231.333.462.795 .231.250 2713 .352 128 +1 +0 +1 0.2
201321 ROKGCL Marlins 1817 5010 150 00 .294.333.412.745 .118.417 286 .330 110 +0 +0 +1 0.1
201422 MLBMiami Marlins 660582 1653069 701373 217 .284.363.402.765 .119.356 2111 .343 121 +16 +1 -0 -7 +19 2.9
201523 MLBMiami Marlins 525476 1433027 471012 165 .300.366.416.782 .116.370 199 .352 127 +16 +1 -8 -6 +15 1.9
201624 MLBMiami Marlins 659578 17238321 721384 94 .298.379.483.862 .185.356 2111 .379 149 +36 +0 +2 -7 +19 5.1
201725 MLBMiami Marlins 695602 17036218 801376 162 .282.372.439.810 .156.336 2012 .360 134 +27 +2 -3 +2 +20 5.0
201826 MLBMilwaukee Brewers 651574 18734736 681357 224 .326.404.5981.001 .272.373 2110 .433 190 +66 +3 -2 -7 +18 8.0
201927 MLBMilwaukee Brewers 580489 16129344 801188 302 .329.432.6711.102 .342.355 2014 .469 217 +77 +5 -10 -6 +16 8.5
202028 MLBMilwaukee Brewers 247200 417112 46761 42 .205.356.430.786 .225.259 3119 .354 129 +8 +0 -4 -3 +7 0.8
202129 MLBMilwaukee Brewers 475399 991929 701133 93 .248.364.373.738 .125.321 2415 .337 116 +8 +1 -2 -5 +13 1.6
202230 MLBMilwaukee Brewers 671575 14525414 881625 193 .252.356.383.739 .130.327 2413 .335 115 +11 +3 -7 -7 +19 1.9
202331 MLBMilwaukee Brewers 632550 15334119 781403 283 .278.371.447.818 .169.342 2212 .366 138 +27 +4 -3 -7 +18 4.0
202432 MLBMilwaukee Brewers 315270 8512311 40582 211 .315.406.504.909 .189.366 1813 .400 164 +23 +4 -3 -3 +9 3.0
202533 MLBMilwaukee Brewers 644573 15121029 641676 166 .264.344.452.796 .188.323 2610 .354 129 +21 +1 -3 -7 +18 3.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 70276108 174132735233 834154851 22142 .285.375.464.840 .179.346 2212 .373 143 +343 +27 -42 -68 +199 46.8

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
Christian Yelich (OGILVIE) 34 58 46→50 58 58 .283/.363/.469 .186.331 1010 21% 10% 141 +1.9
Tommy Pham
2021 · MLB
33 53→58 53→60 54→55 58 .265/.357/.443 .177.312 2020 21% 12% 131 +3.9 .238/.329/.389 .151.294 1715 23% 11% 106 +2.2 .234/.323/.385.152.290171624%11%98+1.5
Johnny Damon
2009 · MLB
35 57→65 50→55 56→55 58 .285/.359/.444 .159.306 1624 13% 10% 131 +3.9 .277/.353/.443 .166.307 1616 15% 10% 129 +3.7 .269/.348/.435.166.298161315%10%121+3.3
Jayson Werth
2014 · MLB
35 55→60 55→60 52→55 57 .280/.366/.468 .188.324 2213 20% 11% 141 +4.6 .268/.358/.444 .176.312 208 20% 12% 131 +3.9 .248/.345/.410.162.29418521%12%112+2.4
Charlie Blackmon
2018 · MLB
32 58→62 56→60 51→55 51 .294/.359/.492 .197.325 2319 17% 8% 144 +4.8 .284/.347/.484 .200.317 249 18% 8% 137 +4.3 .279/.341/.472.193.31023618%7%127+3.2
Doug Clark
2012 · AAA
36 53→60 55 53→55 50 .273/.338/.461 .188.314 2322 21% 8% 128 +3.7 .281/.334/.451 .170.331 1919 20% 7% 124 +3.4 .285/.337/.440.155.337161620%6%124+1.7
Hunter Pence
2016 · MLB
33 54→63 55→60 52→50 49 .277/.332/.470 .193.309 2313 19% 8% 128 +3.6 .268/.325/.428 .160.316 196 21% 8% 114 +2.7 .263/.318/.401.139.31416421%7%99+1.3
Michael Cuddyer
2014 · MLB
35 57→65 54→60 50 51 .287/.347/.475 .188.324 2111 18% 8% 135 +4.2 .289/.342/.467 .178.334 208 19% 7% 131 +3.9 .292/.340/.458.166.33718519%6%126+1.9
Cliff Floyd
2007 · MLB
34 50→60 57→65 51→55 54 .260/.344/.460 .200.279 2512 17% 9% 131 +3.9 .263/.345/.430 .167.293 206 17% 10% 123 +3.3 .274/.361/.433.160.30920117%10%122+1.6
Starling Marte
2023 · MLB
34 60→65 51→60 58→60 47 .298/.359/.465 .167.346 1731 19% 6% 137 +4.3 .271/.330/.401 .130.326 1427 20% 6% 108 +2.3 .258/.318/.365.107.315122721%6%91+0.6
Bobby Abreu
2007 · MLB
33 59→64 53→60 55 70 .290/.412/.479 .189.339 1926 19% 17% 162 +6.0 .287/.382/.452 .165.336 1522 17% 13% 142 +4.6 .288/.377/.446.159.331152316%12%135+4.7
Mike Cameron
2008 · MLB
35 51→53 54→60 55 53 .256/.339/.453 .197.311 2019 24% 10% 126 +3.5 .247/.334/.450 .203.305 2314 25% 11% 123 +3.3 .245/.334/.449.204.302241126%11%120+2.3
Ryan Braun
2018 · MLB
34 54→62 59→70 52→55 52 .282/.349/.497 .215.309 2718 18% 9% 141 +4.6 .267/.327/.475 .208.298 2514 19% 8% 128 +3.6 .261/.320/.473.212.290261320%7%118+1.8
Torii Hunter
2009 · MLB
34 54→64 57→65 49→55 50 .279/.337/.482 .203.302 2416 17% 7% 133 +4.0 .281/.349/.477 .196.313 2314 18% 9% 136 +4.2 .285/.353/.459.174.32822719%9%131+4.0
Mark Canha
2022 · MLB
33 50→57 54→60 52→50 60 .252/.374/.438 .187.295 219 21% 13% 137 +4.3 .255/.359/.399 .144.299 159 19% 10% 121 +3.2 .255/.356/.383.128.30013818%10%112+2.2
Dustin Martin
2017 · AAA
33 56→63 50→55 56→55 46 .278/.333/.438 .160.341 1725 23% 7% 120 +3.1 .251/.317/.415 .164.319 1924 26% 8% 108 +2.3 .227/.306/.397.171.287212628%10%102+1.4
Chris Roberson
2015 · AAA
35 62→70 53→55 52→55 46 .314/.353/.492 .178.340 2022 15% 5% 142 +4.6 .287/.324/.441 .154.324 1621 16% 4% 117 +2.9 .287/.323/.436.150.327142217%4%114+1.9
Roberto Alomar
2002 · MLB
34 62→66 52→50 61→55 60 .310/.385/.490 .181.327 1727 11% 10% 154 +5.4 .274/.344/.404 .130.302 1116 13% 10% 115 +2.7 .256/.326/.359.102.28781213%9%91+0.9
David Peralta
2021 · MLB
33 56→59 54→60 50→45 49 .284/.341/.468 .185.328 224 20% 8% 131 +3.9 .260/.320/.406 .146.312 124 20% 8% 105 +2.1 .253/.313/.395.142.30211319%7%93+1.0
Roberto Mendez
2007 · AAA
34 56→59 52→50 45 59 .279/.363/.445 .165.317 208 18% 12% 133 +4.0 .263/.345/.399 .136.303 158 17% 11% 115 +2.7 .256/.341/.385.130.29214617%11%108+1.5
Shin-Soo Choo
2014 · MLB
32 58→62 50→55 49→55 60 .279/.388/.442 .164.337 1617 20% 13% 144 +4.8 .260/.366/.421 .161.321 179 22% 12% 129 +3.7 .254/.361/.419.165.312201023%13%118+3.2