Moises MoleroCF DSL CLE Goryl
Age 21 L/L 5'9" / 145 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2031
wRC+†61
AVG/OBP/SLG.207 / .274 / .306
PA58
HR1
K%29
BB%7
MLB%0%
BAT: -2.5 runs (wOBA-derived runs vs avg)-3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.2 runs (Positional adjustment)+0POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.4peak
2032

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+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.3$13M+$12M
2034Ext / FA-deal$1.0M+1.1$11M+$10M
2035Ext / FA-deal$2M+0.9$5M+$3M
2036Ext / FA-deal$2M+0.6$3M+$0.9M
2037Ext / FA-deal$1M+0.3$2M+$0.2M
Totals $9M $47M +$38M

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 CLE Blue 195173 28211 14694 33 .162.241.202.443 .040.252 357 .201 12 -19 -1 +0 +1 +6 -1.4
202318 ROKDSL Guardians Red 180161 23520 14555 00 .143.233.199.432 .056.217 318 .195 7 -19 +0 +0 +1 +5 -1.3
202419 ROKDSL CLE Goryl 9885 14300 5315 10 .165.253.200.453 .035.250 325 .195 7 -10 +0 +0 +0 +3 -0.7
▸ 2026 Season
202621 MLBPIT 5853 11201 4171 10 .208.276.302.578 .094.285 297 .266 61 -3 +0 +0 +0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%PIT 115104 22412 9321 20 .212.281.327.608 .115.288 288 .285 76 -3 +0 +0 +0 +3 0.1
202823 MLB 28%PIT 250224 51926 21663 41 .228.302.366.668 .138.289 268 .296 85 -4 +0 +0 +1 +7 0.4
202924 MLB 45%PIT 349312 711329 30914 61 .228.303.369.672 .141.290 269 .304 91 -4 +1 +0 +1 +10 0.8
203025 MLB 60%PIT 409365 8415311 361065 71 .230.308.378.686 .148.291 269 .308 94 -3 +1 +0 +1 +12 1.2
203126 MLB 77%PIT 447399 9317313 401155 81 .233.311.388.699 .155.292 269 .311 96 -2 +1 +0 +2 +13 1.4
203227 MLB 92%PIT 466415 9617313 421216 81 .231.311.381.692 .149.292 269 .311 96 -2 +1 +0 +2 +13 1.4
203328 MLBPIT 473421 9617313 431236 71 .228.309.375.684 .147.291 269 .310 95 -3 +1 -1 +2 +13 1.3
203429 MLBPIT 471420 9617313 431245 61 .229.308.376.684 .148.290 269 .308 94 -3 +1 -1 +2 +13 1.1
203530 MLBPIT 465414 9517313 431245 50 .229.310.379.689 .150.289 279 .304 91 -5 +1 -2 +2 +13 0.9
203631 MLBPIT 454404 9016212 421235 30 .223.304.361.665 .139.288 279 .301 88 -6 +1 -3 +2 +13 0.6
203732 MLBPIT 438390 8515211 401215 10 .218.299.351.650 .133.286 289 .296 85 -8 +0 -4 +2 +12 0.3
203833 MLBPIT 409365 7914210 371164 00 .216.296.348.644 .132.284 289 .291 81 -9 +0 -4 +1 +12 -0.0
203934 MLBPIT 365325 691228 331074 00 .212.293.335.628 .123.283 299 .284 76 -10 +0 -5 +1 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 56425030 110319534136 496154173 6210 .219.299.353.651 .133.286 279 .293 82 -112 +8 -20 +20 +160 5.8
/ 162G 650579 12722416 571788 71 .219.297.354.651 .135.286 279 .293 82 -13 +1 -2 +2 +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
202217 ROKDSL CLE Blue 195163 35311 24454 33 .215.330.264.594 .049.281 2312 .279 72 -6 -1 +6 -0.1
202318 ROKDSL Guardians Red 180151 33720 24375 00 .219.344.291.636 .073.289 2113 .302 89 -2 +0 +5 0.3
202419 ROKDSL CLE Goryl 9882 18400 8195 10 .220.326.268.595 .049.277 198 .276 70 -3 +0 +3 -0.0

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
Moises Molero (OGILVIE) 21 .207/.274/.306 .099.285 11 29% 7% 61 -0.1
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
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
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
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
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
Tirso Ornelas
2021 · A
21 40→50 37→50 51→45 44 .192/.255/.266 .074.272 56 30% 8% 42 -2.3 .219/.280/.322 .103.296 86 27% 7% 67 -0.5 .245/.303/.373.128.30214723%7%87+0.8
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
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
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Nick Dunn
2019 · A
22 43→53 39→45 47→40 40 .208/.263/.294 .086.271 78 26% 5% 53 -1.5 .205/.250/.287 .082.254 65 21% 5% 45 -2.1 .263/.330/.370.108.2899312%8%97+1.2
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
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
LeVon Washington
2012 · A
21 44 39→45 51→50 46 .205/.280/.288 .083.305 613 32% 9% 59 -1.1 .234/.309/.335 .101.341 712 30% 9% 82 +0.5 .246/.314/.364.118.34181228%8%89+0.4
Josh Lowe
2019 · A
21 41→51 40→55 49→60 39 .197/.256/.291 .093.310 813 37% 7% 49 -1.8 .212/.275/.353 .141.307 1620 34% 8% 73 -0.1 .255/.314/.435.180.350203131%8%108+1.9
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
Ryan Kalish
2009 · A
21 48→51 39→50 50→55 45 .228/.286/.311 .083.303 612 26% 7% 66 -0.6 .241/.299/.373 .132.302 1419 24% 7% 89 +0.9 .245/.304/.385.141.300152423%7%91+0.8
Imanol Vargas
2019 · A
21 42→44 40→55 45 51 .201/.293/.296 .095.290 79 31% 11% 67 -0.5 .207/.286/.346 .139.312 157 36% 9% 76 +0.1 .200/.288/.364.164.31621240%10%79+0.2
TJ Friedl
2017 · A
21 48→53 42→50 51→55 42 .228/.286/.337 .109.309 810 28% 6% 73 -0.1 .226/.293/.326 .100.295 615 24% 7% 74 -0.1 .246/.337/.381.136.276151816%10%103+1.8
Enmanuel Valdez
2019 · A
20 38→46 43→60 50→45 45 .191/.257/.305 .115.247 97 26% 7% 53 -1.5 .193/.246/.310 .117.260 127 30% 6% 50 -1.7 .224/.290/.404.180.26824826%8%90+0.8