Yohairo CuevasOF Brooklyn Cyclones
Age 22 L/L 6'3" / 172 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2030
wRC+†43
AVG/OBP/SLG.187 / .286 / .271
PA320
HR3
SB8
K%33
BB%10
MLB%0%
BAT: -20.7 runs (wOBA-derived runs vs avg)-21BATRUN: +1.3 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -1.30-1.3WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
5050
EYE
5960
trajectory · 10 yrs
0.3peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.3$1M+$0.5M
2031Arb-3$0.9M+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.2$1.0M+$0.0M
2033Ext / FA-deal$3M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $7M $0.1M -$7M
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 Mets 1 133112 10300 14665 50 .089.221.116.337 .027.208 5011 .171 -11 -17 +1 +0 -1 +4 -1.3
202218 ROKDSL Mets 1 195176 35812 17610 73 .199.269.290.559 .091.287 319 .249 49 -11 +0 +0 -1 +6 -0.7
202319 A2 teams 181160 28524 17692 132 .175.263.306.569 .131.270 389 .252 51 -10 +2 +0 -1 +5 -0.4
202420 ASt. Lucie Mets 457403 692311 471705 205 .171.266.241.507 .069.291 3710 .234 37 -32 +2 +0 -3 +13 -2.1
202521 A2 teams 378321 701612 4410711 213 .218.332.293.625 .075.318 2812 .289 79 -9 +3 +0 -2 +11 0.3
▸ 2026 Season (actual · ROS · total)
202622 A+Brooklyn Cyclones 4844 5120 4240 10 .114.188.227.415 .114.250 508 .168 -13 -6 +0 +0 -0 +1 -0.5
ROS22 MLBNYM 272238 431122 28944 71 .181.278.269.547 .088.283 3510 .254 53 -15 +1 +0 -2 +8 -0.8
TOT22 MLBNYM 320282 481242 321184 81 .170.264.262.527 .092.282 3710 .241 43 -21 +1 +0 -2 +9 -1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%NYM 418364 721736 451186 102 .198.296.310.607 .113.267 2811 .275 69 -15 +1 +0 -3 +12 -0.4
202824 MLB 26%NYM 472411 831938 511307 112 .202.301.321.622 .119.270 2811 .285 76 -13 +1 +0 -3 +13 -0.1
202925 MLB 44%NYM 501434 892039 551367 122 .205.304.327.632 .122.272 2711 .291 81 -11 +2 +0 -3 +14 0.2
203026 MLB 59%NYM 517448 9321310 571397 122 .208.307.335.641 .127.273 2711 .293 83 -10 +2 +0 -3 +15 0.3
203127 MLB 76%NYM 523451 9321310 591418 112 .206.309.333.641 .126.273 2711 .294 83 -10 +1 +0 -3 +15 0.3
203228 MLB 84%NYM 522451 9321310 591427 101 .206.308.333.640 .126.273 2711 .292 82 -11 +2 -1 -3 +15 0.2
203329 MLBNYM 514444 9120310 581417 91 .205.306.331.638 .126.272 2711 .290 80 -11 +1 -1 -3 +15 0.0
203430 MLBNYM 505436 882039 571417 80 .202.304.323.627 .122.270 2811 .287 78 -13 +2 -2 -3 +14 -0.2
203531 MLBNYM 492426 851939 561397 60 .200.303.322.624 .122.269 2811 .283 75 -14 +1 -3 -3 +14 -0.5
203632 MLBNYM 474411 801828 541366 50 .195.297.307.604 .112.267 2911 .279 72 -15 +1 -4 -3 +13 -0.7
203733 MLBNYM 445386 731627 501316 40 .189.292.295.587 .106.265 2911 .273 67 -16 +1 -4 -3 +13 -1.0
203834 MLBNYM 399346 641426 451215 30 .185.288.289.577 .104.263 3011 .267 63 -17 +1 -5 -2 +11 -1.2
▸ Career Totals (MLE all levels + projections)
Career 73986418 125929240113 8132182107 17426 .196.297.307.604 .111.275 2911 .277 70 -250 +24 -20 -44 +210 -8.1
/ 162G 650564 11226410 711929 152 .199.298.312.610 .113.279 3011 .277 70 -22 +2 -2 -4 +18 -0.7

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
202117 ROKDSL Mets 1 133103 16600 23415 50 .155.336.214.549 .058.250 3117 .274 68 -5 +1 +4 -0.0
202218 ROKDSL Mets 1 195166 461212 27430 73 .277.378.398.776 .120.358 2214 .349 125 +6 +0 +6 1.2
202319 ASt. Lucie Mets 9179 17312 9242 61 .215.311.354.666 .139.278 2610 .300 88 -1 +1 +3 0.2
202319 ROKFCL Mets 9071 22324 18210 71 .310.449.5771.027 .268.383 2320 .441 196 +10 +1 +3 1.4
202420 ASt. Lucie Mets 457385 822711 651195 205 .213.334.296.630 .083.303 2614 .296 85 -8 +2 +13 0.7
202521 A+Brooklyn Cyclones 121107 22510 10313 101 .206.292.271.563 .065.286 268 .262 59 -6 +2 +3 -0.1
202521 ASt. Lucie Mets 257198 551202 50508 112 .278.441.369.810 .091.361 1919 .379 148 +14 +1 +7 2.3

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
Yohairo Cuevas (OGILVIE) 22 45 25 50 60 .187/.286/.271 .084.287 38 33% 10% 59 -0.6
Kier Meredith
2022 · A
22 43 37→30 51→60 45 .202/.271/.271 .070.286 411 29% 8% 50 -1.7 .211/.307/.281 .070.293 426 27% 8% 69 -0.4 .229/.340/.278.049.30533522%10%80+0.1
Carlos Rodríguez
2023 · A
22 46→56 38→40 51→50 44 .219/.278/.304 .084.299 516 27% 7% 61 -1.0 .248/.301/.330 .082.302 415 18% 7% 77 +0.1 .252/.303/.325.073.29441615%7%73-0.1
Exicardo Cayones
2014 · A
22 47 38→40 51→45 43 .215/.288/.296 .081.317 412 31% 7% 64 -0.8 .221/.299/.302 .081.320 49 29% 9% 70 -0.3 .230/.307/.309.078.3313728%10%72-0.1
LeVon Washington
2013 · A
22 46 38→45 47→50 46 .211/.286/.290 .079.315 511 32% 9% 62 -0.9 .243/.313/.354 .111.344 812 29% 9% 89 +1.0 .246/.314/.364.118.34181228%8%89+0.4
Tristan Peters
2022 · A
22 45→50 40→45 53→50 43 .211/.278/.307 .096.320 712 34% 8% 63 -0.9 .226/.293/.347 .121.288 913 23% 8% 79 +0.3 .223/.294/.351.128.277101222%8%77+0.1
Justin Jacobs
2018 · A
22 50 38→40 47→50 48 .231/.303/.312 .080.311 59 26% 8% 74 -0.1 .205/.268/.286 .081.315 65 34% 7% 53 -1.5 .174/.234/.246.072.2807138%6%25-1.7
Jeisson Rosario
2022 · AA
22 43→50 37→45 46→50 46 .202/.282/.275 .073.303 511 32% 9% 56 -1.3 .209/.293/.318 .109.303 1012 31% 10% 72 -0.2 .201/.294/.310.108.292111232%11%68-0.3
Juan Silva
2013 · A
22 45→47 42→45 48→55 46 .215/.287/.318 .103.305 912 30% 9% 69 -0.4 .227/.304/.329 .102.305 823 26% 10% 79 +0.3 .224/.305/.319.095.29372924%10%74-0.1
Elias Arias
2016 · A
22 45 36→30 46→55 47 .213/.277/.277 .064.278 413 23% 7% 54 -1.4 .199/.254/.280 .081.300 69 33% 6% 45 -2.1 .161/.210/.245.083.2547938%5%13-0.9
Jacob Robson
2017 · A
22 45→55 36→45 53→55 45 .212/.274/.283 .072.297 317 28% 8% 54 -1.4 .242/.299/.331 .089.355 616 31% 7% 77 +0.1 .246/.315/.366.120.374102234%8%89+0.8
Jake Thomas
2016 · A
23 44 39→30 49→50 47 .211/.289/.295 .084.283 78 26% 8% 65 -0.7 .207/.290/.274 .067.301 38 29% 10% 59 -1.1 .202/.298/.259.057.3021829%11%56-0.6
Corey Adamson
2014 · A
22 45→51 37→40 52→50 46 .210/.276/.284 .074.285 417 26% 8% 56 -1.3 .229/.293/.339 .110.302 915 25% 7% 76 +0.1 .233/.297/.368.135.301111525%6%83+0.3
David Martin
2023 · A
22 45 39→30 49→30 42 .213/.285/.304 .091.300 67 29% 6% 66 -0.6 .223/.305/.293 .070.278 54 20% 9% 71 -0.3 .243/.334/.302.059.2915116%10%83+0.3
Jason Denham
2008 · A
22 42→43 38→40 51→55 43 .203/.259/.275 .072.276 616 28% 7% 46 -2.0 .221/.279/.314 .093.282 918 24% 7% 65 -0.7 .227/.292/.316.089.272112720%8%69-0.2
Chris Pieters
2017 · A
22 48 39→45 54→55 49 .226/.307/.315 .088.296 617 24% 8% 77 +0.1 .211/.271/.300 .089.291 512 27% 7% 57 -1.2 .201/.259/.291.090.27751327%6%47-0.7
Chris Bisson
2012 · A
22 46→55 36→30 49→60 44 .217/.277/.281 .064.303 413 28% 8% 54 -1.4 .231/.277/.299 .068.318 421 27% 6% 59 -1.1 .240/.279/.300.061.32532926%5%57-0.6
Brent Keys
2012 · A
22 46→56 35→30 51→50 49 .215/.284/.270 .055.276 314 22% 8% 56 -1.3 .265/.319/.333 .068.300 412 12% 7% 85 +0.7 .276/.336/.332.056.30821210%8%89+0.7
Jean Ramirez
2022 · A
21 44→49 38→40 52→65 45 .209/.282/.287 .078.296 520 29% 8% 59 -1.1 .216/.277/.299 .083.307 827 30% 7% 59 -1.1 .212/.271/.279.067.29573129%7%48-0.9
Michael DeJesus
2006 · A
23 44→51 36→30 50→45 50 .202/.287/.271 .069.292 411 30% 10% 58 -1.2 .223/.299/.284 .061.276 47 19% 10% 66 -0.6 .229/.307/.287.058.2774517%10%67-0.4
Antonio DeJesus
2008 · A
22 49 38→40 49→50 48 .230/.303/.310 .080.304 614 25% 8% 74 -0.1 .226/.316/.294 .068.304 311 24% 9% 76 +0.1 .213/.313/.281.069.28821124%9%68-0.2