Luis CoroboC Wilson Warbirds
Age 19 R/R 5'10" / 183 lbs A BB +10%HR +7% Svc 0.0 · Ctrl thru 2036 peak 3.2 · 2032
wRC+†63
AVG/OBP/SLG.211 / .283 / .327
PA139
HR3
K%28
BB%8
MLB%0%
BAT: -5.8 runs (wOBA-derived runs vs avg)-6BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.5 runs (Positional adjustment)+2POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
3439
PWR
3439
SPD
5055
EYE
4752
trajectory · 10 yrs
3.2peak
2033

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+3.0$28M+$27M
2032Ext / FA-deal$0.9M+3.2$31M+$30M
2033Ext / FA-deal$1.0M+3.2$31M+$31M
2034Ext / FA-deal$6M+3.2$32M+$26M
2035Ext / FA-deal$10M+3.1$32M+$22M
2036Ext / FA-deal$14M+3.0$32M+$18M
Totals $34M $187M +$153M

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
202417 ROKDSL Brewers 1 127117 21303 7273 112 .179.244.282.526 .103.207 216 .225 30 -10 +1 +0 +2 +4 -0.3
202518 ROKACL Brewers 146130 21400 12553 10 .162.248.192.441 .031.276 388 .203 14 -14 +0 +0 +3 +4 -0.7
▸ 2026 Season (actual · ROS · total)
202619 AWilson Warbirds 2522 4000 3130 00 .182.280.182.462 .000.444 5212 .223 29 -2 +0 +0 +0 +1 -0.1
ROS19 MLBMIL 114103 22412 9321 21 .214.283.330.613 .117.285 288 .278 71 -4 +0 +0 +2 +3 0.2
TOT19 MLBMIL 139125 26412 12451 21 .208.283.304.587 .096.304 329 .268 63 -6 +0 +0 +2 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%MIL 238212 48916 21643 51 .226.305.363.668 .137.292 279 .298 86 -4 +1 +0 +4 +7 0.8
202821 MLB 28%MIL 362320 731329 34945 92 .228.312.366.678 .137.293 269 .308 94 -3 +1 +0 +6 +10 1.5
202922 MLB 48%MIL 450397 9317312 441146 112 .234.320.383.703 .149.294 2510 .315 99 -0 +1 +0 +8 +13 2.2
203023 MLB 65%MIL 508445 10619315 511267 122 .238.326.396.722 .157.294 2510 .321 104 +2 +2 +0 +9 +14 2.8
203124 MLB 82%MIL 520455 10919316 531287 122 .240.328.400.728 .160.294 2510 .325 107 +4 +2 +0 +9 +15 3.0
203225 MLBMIL 520453 10919316 551277 122 .241.332.402.734 .161.295 2411 .328 109 +5 +2 +0 +9 +15 3.2
203326 MLBMIL 520453 10919316 551277 122 .241.332.402.734 .161.296 2411 .330 110 +6 +2 +0 +9 +15 3.2
203427 MLBMIL 520452 10919316 561277 112 .241.334.403.737 .162.296 2411 .330 110 +6 +1 +0 +9 +15 3.2
203528 MLBMIL 520452 10819316 561287 112 .239.332.400.732 .162.295 2511 .329 110 +6 +1 -1 +9 +15 3.1
203629 MLBMIL 520451 10819316 571307 101 .239.334.401.735 .162.294 2511 .327 108 +5 +2 -1 +9 +15 3.0
203730 MLBMIL 520451 10719316 571327 101 .237.332.399.731 .162.293 2511 .323 106 +3 +2 -2 +9 +15 2.7
203831 MLBMIL 504438 10318315 551306 90 .235.329.393.721 .158.292 2611 .320 103 +2 +2 -3 +9 +14 2.4
203932 MLBMIL 489427 9717214 531286 80 .227.321.375.696 .148.290 2611 .315 99 -0 +2 -4 +9 +14 2.1
204033 MLBMIL 452395 8815212 491225 80 .223.316.362.678 .139.288 2711 .309 95 -3 +2 -4 +8 +13 1.6
204134 MLBMIL 396345 7613210 431105 70 .220.316.357.672 .136.287 2811 .303 90 -5 +1 -5 +7 +11 1.0
204235 MLBMIL 337294 631028 36974 60 .214.308.344.652 .129.284 2911 .295 84 -6 +1 -6 +6 +10 0.5
204336 MLBMIL 276242 49816 29823 50 .202.296.318.614 .116.281 3011 .286 77 -7 +1 -6 +5 +8 0.0
204437 MLBMIL 214188 37614 22662 40 .197.288.303.591 .106.277 3110 .276 70 -7 +1 -7 +4 +6 -0.4
204538 MLBMIL 154135 26413 16492 30 .193.288.304.591 .111.272 3210 .266 62 -7 +1 -8 +3 +4 -0.7
▸ Career Totals (MLE all levels + projections)
Career 84077355 168229345231 8702195110 17922 .229.319.375.694 .146.292 2610 .312 97 -31 +27 -46 +150 +238 34.6
/ 162G 650569 13023318 671709 142 .228.319.374.694 .146.292 2610 .312 97 -2 +2 -4 +12 +18 2.7

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
202417 ROKDSL Brewers 1 127112 27404 12183 112 .241.331.384.715 .143.256 149 .325 107 +1 +1 +4 0.6
202518 ROKACL Brewers 146122 30700 20373 10 .246.366.303.669 .057.349 2514 .315 99 -0 +0 +4 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
Luis Corobo (OGILVIE) 19 34→39 34→39 50→55 52 .211/.283/.327 .115.285 33 28% 8% 71 -0.1
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Ravel Santana
2011 · A
19 43 46→50 51→55 47 .214/.294/.340 .125.274 1415 26% 8% 79 +0.3 .220/.281/.362 .142.292 1613 29% 7% 79 +0.3 .205/.253/.387.182.264221531%6%72-0.1
Jett Williams
2023 · A
19 45 41→55 55 43 .216/.285/.315 .099.290 713 27% 7% 68 -0.5 .204/.313/.323 .119.295 1023 31% 12% 83 +0.6 .202/.308/.336.135.284112630%12%81+0.3
Bryan Rincon
2023 · A
19 43→42 45→40 53→65 45 .213/.281/.336 .123.279 1311 28% 8% 72 -0.2 .194/.288/.298 .104.270 921 29% 10% 66 -0.6 .165/.260/.259.093.23893032%10%44-1.1
Harry Ford
2022 · A
19 45→48 47→45 51→55 43 .223/.287/.361 .138.312 149 32% 8% 81 +0.4 .213/.318/.341 .128.297 1216 29% 11% 89 +1.0 .203/.315/.324.121.277122128%12%81+0.4
Jesus Rodriguez
2021 · A
19 46→56 42→45 49→50 46 .224/.285/.337 .113.288 99 25% 8% 72 -0.2 .233/.299/.337 .104.295 612 21% 8% 79 +0.3 .254/.316/.360.106.307101619%7%89+0.7
Jose Paez
2013 · A
19 47 39→45 51→50 42 .223/.278/.315 .092.300 513 26% 6% 64 -0.8 .211/.257/.296 .085.311 411 32% 5% 50 -1.8 .178/.220/.246.068.28331236%4%17-1.1
Hao-Yu Lee
2023 · A
20 48→44 45→50 48→55 46 .232/.304/.355 .124.309 1212 28% 8% 86 +0.8 .239/.303/.370 .131.306 1316 25% 7% 89 +1.0 .238/.303/.382.143.296141924%7%90+0.7
Luke Adams
2023 · A
19 49→37 40→45 54→55 45 .229/.303/.328 .098.328 717 30% 8% 79 +0.3 .197/.323/.323 .126.275 1220 30% 11% 89 +1.0 .179/.324/.312.133.244142229%12%86+0.5
Jonathan Galvez
2010 · A
19 44→48 42→45 50→55 49 .212/.298/.319 .107.288 912 28% 10% 75 -0.0 .219/.284/.338 .119.315 1116 32% 7% 73 -0.1 .225/.283/.349.124.320121932%6%72-0.1
Dilson Herrera
2013 · A
19 44→54 42→50 51→50 44 .214/.271/.330 .115.275 913 25% 6% 65 -0.7 .235/.285/.365 .130.305 1312 26% 6% 80 +0.4 .257/.307/.397.140.313151322%6%94+1.2
Daniel Robertson
2013 · A
19 46→54 45 52→40 48 .224/.296/.359 .134.268 116 21% 7% 84 +0.6 .237/.302/.349 .112.294 103 22% 7% 84 +0.6 .234/.338/.350.116.30512425%11%96+0.8
Miguel Palma
2021 · A
19 42 41→45 48→40 42 .201/.285/.303 .102.283 911 30% 7% 66 -0.6 .212/.287/.333 .121.279 135 27% 7% 74 -0.1 .211/.275/.332.121.26715226%6%67-0.2
Leo Balcazar
2023 · A
19 44→48 44→40 54→45 40 .212/.276/.331 .119.313 1114 34% 7% 69 -0.4 .220/.273/.310 .090.313 810 30% 6% 60 -1.0 .223/.267/.300.077.2818723%5%52-1.3
Eddys Leonard
2019 · A
18 42→46 41→50 48→45 47 .202/.283/.303 .101.271 913 27% 9% 65 -0.7 .209/.282/.326 .117.298 118 31% 8% 69 -0.4 .224/.290/.376.152.29017428%6%83+0.5
Bo Naylor
2019 · A
19 44→43 39→55 52→50 46 .211/.278/.300 .089.298 69 30% 8% 60 -1.0 .194/.251/.313 .119.273 117 31% 7% 53 -1.5 .216/.308/.399.183.269221228%11%97+1.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
Yu Chang
2015 · A
19 48→44 45→50 53→45 44 .235/.290/.363 .127.295 128 24% 6% 82 +0.5 .202/.254/.328 .126.277 127 31% 6% 58 -1.2 .213/.268/.374.161.27120629%6%75-0.0
Jesus Morelli
2009 · A
19 49 42→45 48→50 49 .233/.310/.344 .110.300 912 24% 8% 85 +0.7 .223/.286/.295 .072.303 410 26% 6% 63 -0.9 .219/.279/.260.041.28701422%6%47-0.5