Cherif NeymourSS FCL Marlins
Age 21 S/R 5'11" / 150 lbs ROK HR -4%BB +3% Svc 0.0 · Ctrl thru 2037 peak 1.7 · 2031
wRC+†60
AVG/OBP/SLG.205 / .273 / .303
PA75
HR1
K%30
BB%7
MLB%0%
BAT: -3.4 runs (wOBA-derived runs vs avg)-3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.7peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+1.7$16M+$15M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.5$15M+$14M
2035Ext / FA-deal$2M+1.2$13M+$10M
2036Ext / FA-deal$3M+1.0$11M+$7M
2037Ext / FA-deal$3M+0.6$3M+$0.3M
Totals $12M $74M +$62M

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
202217 ROKDSL Miami 172157 17710 9945 221 .108.181.166.347 .057.266 555 .158 -21 -23 +4 +0 +2 +5 -1.3
202318 ROKDSL Marlins 134115 28311 12345 181 .243.341.313.654 .070.333 259 .282 74 -4 +3 +0 +1 +4 0.5
202419 ROKFCL Marlins 113106 19220 5421 205 .179.223.236.459 .057.292 374 .210 19 -10 +2 +0 +1 +3 -0.4
202520 ROKFCL Marlins 8375 7100 7421 82 .093.181.107.287 .013.212 518 .135 -38 -13 +1 +0 +1 +2 -0.9
▸ 2026 Season
202621 MLBMIA 7568 14301 6221 10 .206.280.294.574 .088.288 298 .264 60 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%MIA 159143 31613 13452 31 .217.291.336.627 .119.290 288 .283 75 -5 +0 +0 +2 +5 0.2
202823 MLB 28%MIA 283254 571027 24783 61 .224.299.362.661 .138.291 288 .295 84 -5 +1 +0 +3 +8 0.7
202924 MLB 45%MIA 371332 7614210 321004 82 .229.304.373.678 .145.292 279 .302 90 -4 +1 +0 +4 +11 1.1
203025 MLB 60%MIA 424378 8816312 381135 92 .233.311.386.697 .153.293 279 .307 93 -3 +1 +0 +5 +12 1.5
203126 MLB 77%MIA 456407 9417313 411215 102 .231.309.383.692 .152.294 279 .309 95 -3 +1 +0 +5 +13 1.7
203227 MLB 92%MIA 471420 9617313 431265 102 .229.308.376.684 .148.294 279 .309 95 -3 +1 +0 +5 +13 1.7
203328 MLBMIA 476424 9717313 441285 91 .229.309.375.684 .146.293 279 .308 94 -3 +1 -1 +5 +13 1.6
203429 MLBMIA 472420 9617313 441285 81 .229.309.376.685 .148.293 279 .306 93 -4 +1 -1 +5 +13 1.5
203530 MLBMIA 466415 9417313 431285 71 .227.307.376.683 .149.291 279 .303 90 -5 +1 -2 +5 +13 1.2
203631 MLBMIA 454404 8916212 421275 50 .220.302.359.660 .139.290 289 .299 87 -7 +1 -3 +5 +13 1.0
203732 MLBMIA 437389 8515211 411254 30 .219.300.352.652 .134.288 299 .295 84 -8 +1 -4 +5 +12 0.6
203833 MLBMIA 409364 7914210 381194 10 .217.298.349.647 .132.287 299 .289 79 -9 +0 -4 +4 +12 0.3
203934 MLBMIA 365325 681228 331104 00 .209.290.332.622 .123.285 309 .283 75 -10 +0 -5 +4 +10 -0.1
204035 MLBMIA 311277 581027 28973 00 .209.289.336.625 .126.283 319 .275 69 -11 +0 -6 +3 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 61315473 119321437147 543177972 14822 .218.297.351.648 .133.293 299 .291 81 -135 +21 -25 +66 +174 10.2
/ 162G 650580 12723416 581898 162 .219.299.355.654 .136.294 299 .291 81 -14 +2 -3 +7 +18 1.1

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
202217 ROKDSL Miami 172153 301220 13635 221 .196.281.301.581 .105.330 378 .267 62 -7 +4 +5 0.2
202318 ROKDSL Marlins 134108 34421 19245 181 .315.439.417.856 .102.393 1814 .387 154 +8 +3 +4 1.5
202419 ROKFCL Marlins 113102 29430 8291 205 .284.339.382.722 .098.392 267 .320 103 +0 +2 +3 0.6
202520 ROKFCL Marlins 8370 10100 12281 82 .143.277.157.434 .014.238 3414 .223 29 -7 +1 +2 -0.4

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
Cherif Neymour (OGILVIE) 21 .205/.273/.303 .098.288 11 30% 7% 60 -0.1
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
C.J. Beatty
2010 · A
21 41 41→50 51→40 41 .201/.256/.299 .098.284 99 31% 7% 51 -1.7 .211/.273/.328 .117.294 105 29% 8% 66 -0.6 .207/.273/.340.134.28111229%8%65-0.4
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Max Moroff
2014 · A
21 41→51 40→50 43→50 46 .201/.264/.291 .090.263 88 26% 8% 52 -1.6 .217/.279/.307 .090.309 611 29% 8% 63 -0.9 .230/.309/.353.123.307121027%10%85+0.6
Isiah Gilliam
2017 · A
21 40→46 44→55 47→55 38 .200/.247/.314 .113.281 115 32% 5% 51 -1.7 .201/.252/.327 .126.299 136 36% 6% 57 -1.2 .217/.299/.399.182.339231940%10%92+0.7
Addison Barger
2021 · A
21 39→46 39→55 49→45 44 .191/.262/.281 .090.258 65 27% 7% 50 -1.8 .216/.278/.376 .160.319 197 36% 7% 81 +0.4 .220/.291/.385.165.27218625%8%84+0.5
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Jose Marquez
2019 · A
21 42 41→50 48→50 39 .208/.253/.311 .103.277 87 28% 5% 53 -1.5 .212/.261/.315 .103.306 98 32% 5% 57 -1.2 .133/.203/.225.093.206161243%7%8-0.8
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Jon Del Campo
2009 · A
21 45 38→45 48→55 42 .211/.269/.296 .085.311 56 32% 7% 56 -1.3 .203/.238/.284 .081.270 47 25% 4% 38 -2.6 .267/.300/.379.112.337121824%3%90+0.6
Miguel Gómez
2014 · A
21 44→54 39→50 49→40 39 .208/.259/.302 .093.293 55 30% 5% 53 -1.5 .237/.275/.349 .112.290 104 21% 4% 72 -0.2 .271/.288/.403.133.30514116%2%87+0.6
Henry Ramos
2013 · A
21 43→53 41→50 46→50 38 .211/.251/.308 .096.282 811 28% 5% 50 -1.7 .221/.265/.328 .107.293 98 26% 5% 62 -0.9 .251/.313/.394.142.31416724%7%96+0.9
Danny Santana
2012 · A
21 43→53 40→60 51→55 36 .211/.247/.304 .094.290 716 30% 4% 47 -1.9 .247/.281/.350 .103.319 617 24% 4% 73 -0.1 .244/.288/.452.208.303272229%5%102+1.2
Karexon Sanchez
2009 · A
21 41→47 43→45 48→50 40 .205/.262/.315 .110.281 1111 30% 6% 58 -1.2 .207/.274/.318 .111.295 1111 31% 7% 64 -0.8 .218/.295/.324.106.304101130%8%71-0.2
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5