Romtres CabreraCF FCL Cardinals
Age 22 R/R 6'0" / 182 lbs ROK HR -7%K -4% Svc 0.0 · Ctrl thru 2037 peak 0.7 · 2030
wRC+†53
AVG/OBP/SLG.195 / .264 / .290
PA102
HR1
K%33
BB%8
MLB%0%
BAT: -5.4 runs (wOBA-derived runs vs avg)-5BATRUN: +0.5 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
0.7peak
2030

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+0.6$3M+$2M
2033Ext / FA-deal$1.0M+0.4$2M+$1M
2034Ext / FA-deal$1.0M+0.3$2M+$0.5M
2035Ext / FA-deal$3M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $7M $1M -$6M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202117 ROKDSL Cardinals Red 198170 24333 1610211 118 .141.259.247.506 .106.318 528 .224 30 -16 -1 +0 +1 +6 -1.1
202218 ROKFCL Cardinals 7163 3000 7391 52 .048.155.048.203 .000.125 5510 .116 -53 -12 +0 +0 +0 +2 -1.0
202319 ROKFCL Cardinals 9479 12301 9405 50 .152.280.228.507 .076.282 4310 .220 27 -8 +1 +0 +0 +3 -0.4
202420 ROKFCL Cardinals 3633 3000 2220 21 .091.143.091.234 .000.250 616 .108 -59 -6 +0 +0 +0 +1 -0.5
202521 ROK2 teams 9985 9300 10472 130 .106.216.141.358 .035.225 4710 .189 3 -11 +3 +0 +0 +3 -0.5
▸ 2026 Season
202622 MLBSTL 10292 18311 8341 20 .196.267.283.550 .087.289 338 .255 53 -5 +0 +0 +0 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 190171 35614 15602 31 .205.277.322.598 .117.291 328 .273 67 -7 +0 +0 +1 +5 -0.1
202824 MLB 26%STL 299269 571027 25923 51 .212.286.342.628 .130.292 318 .284 76 -8 +1 +0 +1 +8 0.2
202925 MLB 43%STL 366328 711329 311104 71 .216.292.351.643 .134.294 308 .291 81 -8 +1 +0 +1 +10 0.5
203026 MLB 58%STL 408365 8014211 361224 71 .219.296.359.655 .140.295 309 .295 84 -7 +1 +0 +1 +12 0.7
203127 MLB 76%STL 428382 8315211 381295 71 .217.296.353.650 .136.295 309 .295 84 -8 +1 +0 +2 +12 0.7
203228 MLB 84%STL 437390 8515212 391325 71 .218.297.359.656 .141.294 309 .294 83 -8 +1 -1 +2 +12 0.6
203329 MLB 90%STL 436389 8315211 391335 61 .213.293.347.640 .134.293 319 .292 82 -9 +1 -1 +2 +12 0.4
203430 MLBSTL 431385 8215211 391334 50 .213.292.348.640 .135.292 319 .289 79 -10 +1 -2 +2 +12 0.3
203531 MLBSTL 420375 7814210 381314 30 .208.288.336.624 .128.290 319 .285 77 -11 +1 -3 +1 +12 0.0
203632 MLBSTL 404361 741329 361284 10 .205.284.327.611 .122.289 329 .281 73 -12 +0 -4 +1 +11 -0.3
203733 MLBSTL 375335 681228 331224 00 .203.282.322.605 .119.287 339 .275 69 -13 +0 -4 +1 +11 -0.6
203834 MLBSTL 331296 591027 291103 00 .199.277.318.595 .118.285 339 .269 64 -13 +0 -5 +1 +9 -0.8
▸ Career Totals (MLE all levels + projections)
Career 51254568 92416427115 450168667 8918 .202.283.326.609 .123.289 339 .277 70 -174 +11 -20 +18 +145 -2.0
/ 162G 650579 11721315 572148 112 .202.283.326.609 .124.288 339 .277 70 -22 +1 -2 +2 +18 -0.2

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
202117 ROKDSL Cardinals Red 198160 39755 267011 118 .244.386.444.830 .200.395 3513 .372 143 +10 -1 +6 1.4
202218 ROKFCL Cardinals 7160 6100 10281 52 .100.239.117.356 .017.188 3914 .190 4 -8 +0 +2 -0.6
202319 ROKFCL Cardinals 9473 15401 15285 50 .205.376.301.678 .096.311 3016 .323 106 +1 +1 +3 0.4
202420 ROKFCL Cardinals 3631 4000 4160 21 .129.229.129.358 .000.250 4411 .178 -5 -4 +0 +1 -0.3
202521 APalm Beach Cardinals 3630 5200 5140 40 .167.286.233.519 .067.294 3914 .244 45 -2 +1 +1 -0.0
202521 ROKFCL Cardinals 6349 9300 11192 90 .184.355.245.600 .061.290 3017 .292 82 -1 +2 +2 0.2

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
Romtres Cabrera (OGILVIE) 22 .195/.264/.290 .096.289 12 33% 8% 53 -0.3
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Felix Reyes
2023 · A
22 37→47 43→50 46→45 35 .188/.235/.293 .105.267 118 34% 4% 40 -2.4 .221/.258/.346 .125.263 157 22% 4% 64 -0.8 .241/.274/.386.144.27517819%4%81+0.2
Michael A. Taylor
2013 · A
22 38→48 41→55 48→60 36 .188/.234/.290 .102.278 814 34% 5% 39 -2.5 .212/.267/.337 .125.319 1225 35% 6% 66 -0.6 .236/.294/.379.143.303191428%7%86+0.6
Wynton Bernard
2013 · A
22 44→54 39→45 52→60 42 .208/.269/.296 .088.301 610 31% 7% 56 -1.3 .242/.293/.332 .090.318 519 24% 6% 75 -0.0 .270/.315/.362.092.32952819%6%86+0.7
Narciso Crook
2017 · A
22 38→43 42→55 52→50 34 .194/.230/.300 .106.280 1011 34% 4% 40 -2.4 .207/.256/.324 .117.303 1110 34% 5% 57 -1.2 .199/.278/.357.158.302191538%7%73-0.1
Ramon Mendoza
2023 · A
22 41→48 37→45 48→45 45 .193/.269/.270 .078.280 47 31% 8% 50 -1.8 .211/.284/.310 .099.294 85 29% 8% 66 -0.6 .219/.298/.332.113.29411327%9%76+0.0
Brandon Barnes
2008 · A
22 37→47 38→55 46→50 37 .181/.232/.260 .079.269 57 34% 5% 30 -3.1 .197/.236/.309 .112.291 116 35% 4% 45 -2.1 .244/.289/.369.125.331121629%5%80+0.3
Drew Stubbs
2007 · A
22 42→52 41→50 53→60 40 .201/.273/.298 .098.311 915 36% 8% 59 -1.1 .221/.290/.328 .107.321 920 31% 8% 73 -0.1 .241/.313/.367.126.326133728%9%90+1.1
Kevin Smith
2018 · A
22 39→45 44→55 53→50 35 .198/.236/.315 .117.289 118 35% 4% 46 -2.0 .207/.251/.356 .149.290 1713 34% 5% 64 -0.8 .202/.254/.373.170.272211733%5%68-0.4
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 Sibrian
2021 · A
22 42 37→50 48→30 39 .199/.255/.274 .075.282 55 30% 5% 44 -2.1 .205/.260/.284 .079.273 53 26% 5% 49 -1.8 .204/.263/.299.095.2589024%5%51-0.5
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Keon Broxton
2012 · A
22 40→50 40→55 54→60 38 .188/.249/.281 .093.309 615 39% 7% 43 -2.2 .206/.260/.322 .116.316 1215 36% 7% 59 -1.1 .225/.301/.390.165.341173836%9%92+1.0
Jonathan Ornelas
2022 · A
22 41→51 41→45 48→50 38 .204/.251/.304 .100.277 99 29% 5% 50 -1.7 .233/.286/.332 .099.320 1011 29% 6% 72 -0.2 .231/.292/.316.084.32291229%7%67-0.4
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Ryan McKenna
2018 · A
21 43→53 42→50 52→55 39 .210/.265/.317 .107.297 912 31% 6% 59 -1.1 .226/.289/.332 .106.311 912 28% 7% 73 -0.1 .218/.295/.357.140.319161334%9%80+0.2
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2