Antonio JimenezSS Brooklyn Cyclones
Age 22 R/R 6'1" / 200 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035 peak 1.1 · 2031
wRC+†14
AVG/OBP/SLG.221 / .282 / .350
PA110
HR3
K%27
BB%7
MLB%0%
BAT: -10.7 runs (wOBA-derived runs vs avg)-11BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.3 runs (Defensive runs vs avg)-0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +3.1 runs (Replacement-level credit)+3REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
3039
PWR
4052
SPD
4047
FLD
3051
EYE
3535
trajectory · 10 yrs
1.3peak
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+1.0$9M+$8M
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+1.0$10M+$9M
2033Ext / FA-deal$2M+0.8$4M+$2M
2034Ext / FA-deal$2M+0.6$3M+$0.7M
2035Ext / FA-deal$2M+0.4$2M+$0.1M
Totals $9M $38M +$29M

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
202521 ASt. Lucie Mets 11097 23100 10201 83 .237.315.247.562 .010.291 189 .261 58 -5 +0 +0 +1 +3 -0.1
▸ 2026 Season (actual · ROS · total)
202622 A+Brooklyn Cyclones 6359 7102 2241 11 .119.161.237.399 .119.147 383 .153 -25 -9 -0 +0 +1 +2 -0.7
ROS22 MLBNYM 4744 9201 3130 10 .205.255.318.574 .114.270 286 .271 65 -2 +0 -0 +1 +1 -0.0
TOT22 MLBNYM 110103 16303 5371 21 .155.202.272.474 .117.203 345 .203 14 -11 +0 -0 +1 +3 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%NYM 196178 40716 14452 41 .225.289.376.665 .152.258 237 .288 78 -5 +0 -1 +2 +6 0.2
202824 MLB 26%NYM 304275 621129 23683 52 .225.292.378.671 .153.261 228 .296 85 -5 +0 -2 +3 +9 0.5
202925 MLB 44%NYM 370334 7613212 29824 72 .228.297.386.683 .159.264 228 .301 89 -5 +1 -2 +4 +10 0.9
203026 MLB 59%NYM 412372 8515213 33924 72 .228.298.384.683 .156.265 228 .304 91 -4 +1 -2 +4 +12 1.0
203127 MLB 76%NYM 431388 8815214 35965 82 .227.299.384.683 .157.265 228 .304 91 -4 +1 -2 +5 +12 1.1
203228 MLB 84%NYM 440396 8915214 36995 72 .225.297.379.676 .154.264 228 .303 90 -5 +1 -3 +5 +12 1.0
203329 MLB 90%NYM 438394 8815214 361005 72 .223.297.378.675 .155.263 238 .301 88 -6 +1 -4 +5 +12 0.8
203430 MLBNYM 433389 8615213 361005 72 .221.295.370.666 .149.262 238 .298 86 -7 +1 -4 +5 +12 0.6
203531 MLBNYM 422380 8314213 351004 61 .218.291.368.660 .150.260 248 .294 83 -8 +1 -5 +5 +12 0.4
203632 MLBNYM 406366 7913212 33984 51 .216.288.361.648 .145.259 248 .289 79 -9 +1 -6 +4 +12 0.1
203733 MLBNYM 377339 7212210 31944 50 .212.286.348.634 .136.257 258 .284 75 -11 +1 -6 +4 +11 -0.1
203834 MLBNYM 334301 631029 27863 50 .209.281.346.626 .136.255 268 .277 70 -11 +1 -7 +4 +9 -0.4
203935 MLBNYM 281254 51817 22753 40 .201.272.323.595 .122.253 278 .269 64 -11 +1 -7 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 50014507 99416624147 403116852 8620 .221.292.366.658 .145.263 238 .293 82 -99 +9 -51 +54 +142 5.5
/ 162G 650586 12922319 521527 113 .220.291.365.657 .145.263 238 .293 82 -13 +1 -7 +7 +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
202521 ASt. Lucie Mets 11095 25100 12151 83 .263.352.274.626 .011.305 1411 .292 82 -2 +0 +3 0.1

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
Antonio Jimenez (OGILVIE) 22 30→39 40→52 40→47 35 .221/.282/.350 .129.286 32 27% 7% 76 +0.0
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Miguel Amaya
2021 · A
22 42 46→50 48→40 46 .212/.283/.341 .129.261 144 24% 7% 75 -0.0 .218/.306/.350 .132.298 146 29% 9% 87 +0.8 .233/.304/.378.146.27816122%7%91+0.5
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Eddys Leonard
2023 · A
22 45→46 49→50 45 42 .226/.293/.375 .150.293 165 28% 6% 88 +0.9 .220/.279/.369 .149.281 177 27% 6% 79 +0.3 .212/.267/.368.155.26219927%5%72-0.2
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Christian Villanueva
2013 · A
22 44→45 44→55 48→50 39 .218/.271/.331 .113.279 1113 26% 4% 66 -0.6 .211/.259/.351 .140.267 156 27% 5% 66 -0.6 .222/.280/.396.173.25523323%6%86+0.6
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Kendall Simmons
2022 · A
22 42 48→50 49→50 39 .210/.276/.360 .150.295 159 33% 6% 76 +0.1 .199/.265/.345 .146.286 169 35% 6% 68 -0.5 .199/.264/.350.151.29018736%6%66-0.2
Max Stassi
2013 · A
22 41→43 47→55 43→40 40 .210/.270/.343 .133.290 154 32% 6% 69 -0.4 .216/.264/.358 .142.286 173 30% 5% 70 -0.3 .208/.295/.359.151.27120030%10%81+0.2
José Caballero
2019 · A
22 48→45 43→45 48→70 45 .232/.292/.346 .114.280 109 21% 6% 79 +0.3 .220/.293/.329 .109.282 925 24% 7% 76 +0.0 .229/.321/.344.115.305106326%9%87+0.6
Jeferson Morales
2022 · A
23 41→46 47→45 48→50 48 .209/.291/.351 .142.259 149 25% 8% 81 +0.4 .205/.282/.337 .132.267 139 27% 7% 73 -0.1 .223/.298/.355.132.27712823%7%81+0.2
Yu Chang
2018 · AA
22 37→44 49→50 49→45 39 .195/.252/.345 .150.266 179 33% 6% 63 -0.9 .209/.268/.346 .137.291 147 32% 7% 69 -0.4 .213/.268/.374.161.27120629%6%75-0.0
Sicnarf Loopstok
2016 · A
23 41→37 49→50 53→50 39 .211/.272/.359 .148.288 179 32% 6% 75 -0.0 .211/.274/.346 .135.297 1411 32% 6% 72 -0.2 .206/.277/.356.150.28718933%7%76+0.0
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
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
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Deibinson Romero
2009 · A
22 46 43→50 46→40 41 .227/.280/.341 .113.296 117 26% 6% 72 -0.2 .204/.270/.299 .095.282 83 29% 7% 57 -1.2 .226/.295/.367.141.27217223%8%84+0.5
Jorge Alfaro
2015 · AA
22 41→51 47→50 48→50 33 .208/.259/.345 .136.300 148 35% 4% 65 -0.7 .219/.263/.345 .126.320 135 35% 4% 66 -0.6 .259/.315/.406.147.38019635%5%97+0.8
Chris Nelson
2008 · A
22 44→54 46→50 52→50 41 .222/.269/.358 .136.276 1312 24% 5% 72 -0.2 .225/.279/.355 .130.281 1212 24% 6% 76 +0.0 .257/.301/.387.130.31113721%5%87+0.6
Josh Phegley
2010 · A
22 39→48 49→60 46→40 39 .206/.248/.349 .143.247 186 26% 4% 61 -1.0 .218/.256/.334 .116.274 133 25% 4% 60 -1.0 .235/.277/.425.190.25624119%4%92+0.8