Gilberto RojasC DSL Rojos
Age 21 R/R 6'1" / 165 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 1.9 · 2032
wRC+†56
AVG/OBP/SLG.203 / .268 / .296
PA36
HR0
K%30
BB%7
MLB%0%
BAT: -1.8 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.0 runs (Replacement-level credit)+1REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
1.9peak
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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+1.8$18M+$17M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.4$15M+$12M
2036Ext / FA-deal$3M+1.1$12M+$8M
2037Ext / FA-deal$3M+0.7$4M+$0.4M
Totals $13M $82M +$70M

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 Reds 5248 8100 4120 00 .167.231.188.418 .021.222 238 .190 4 -6 +0 +0 +1 +1 -0.3
202318 ROKDSL Reds 108100 18502 6371 00 .180.234.290.524 .110.258 346 .215 23 -9 +0 +0 +2 +3 -0.5
202419 ROKDSL Rojos 1715 2000 240 00 .133.235.133.369 .000.182 2412 .226 31 -1 +0 +0 +0 +0 -0.1
▸ 2026 Season
202621 MLBCIN 3633 6100 3110 10 .182.250.212.462 .030.289 318 .259 56 -2 +0 +0 +1 +1 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%CIN 113102 22412 9331 20 .216.286.333.619 .118.291 298 .279 72 -4 +0 +0 +2 +3 0.2
202823 MLB 28%CIN 247223 50926 20692 41 .224.294.363.657 .139.293 288 .292 81 -5 +0 +0 +4 +7 0.7
202924 MLB 45%CIN 347312 701229 29953 61 .224.297.362.659 .138.293 278 .299 87 -5 +1 +0 +6 +10 1.2
203025 MLB 60%CIN 407365 8314311 351104 71 .227.302.373.675 .145.294 279 .304 91 -4 +1 +0 +7 +12 1.6
203126 MLB 77%CIN 444397 9116312 391205 71 .229.306.375.681 .146.295 279 .307 93 -3 +1 +0 +8 +13 1.8
203227 MLB 92%CIN 463413 9516313 421265 71 .230.309.378.686 .148.295 279 .307 93 -4 +1 +0 +8 +13 1.9
203328 MLBCIN 470419 9516313 431295 71 .227.306.372.679 .146.295 279 .306 92 -4 +1 -1 +8 +13 1.8
203429 MLBCIN 468417 9516313 431295 61 .228.308.374.682 .146.294 289 .304 91 -5 +1 -1 +8 +13 1.6
203530 MLBCIN 462412 9216312 421295 50 .223.303.364.667 .141.292 289 .301 88 -6 +1 -2 +8 +13 1.4
203631 MLBCIN 437390 8715311 401244 20 .223.302.362.663 .138.291 289 .297 85 -7 +0 -3 +8 +12 1.1
203732 MLBCIN 409365 7913210 371184 10 .216.296.345.641 .129.289 299 .292 82 -8 +0 -4 +7 +12 0.7
203833 MLBCIN 369330 711229 331093 00 .215.292.345.638 .130.288 309 .287 78 -9 +0 -4 +7 +10 0.4
203934 MLBCIN 319284 601027 29973 00 .211.291.335.626 .123.286 309 .280 73 -10 +0 -5 +6 +9 0.0
204035 MLBCIN 263236 49826 23832 00 .208.284.335.618 .127.284 329 .273 67 -10 +0 -6 +5 +7 -0.3
204136 MLBCIN 207185 37614 18672 00 .200.278.308.586 .108.281 329 .264 60 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 56385046 111019035140 497160254 557 .220.297.355.652 .135.291 289 .293 82 -112 +8 -31 +101 +160 12.7
/ 162G 650582 12822416 571856 61 .220.296.354.650 .134.292 289 .293 82 -13 +1 -4 +12 +18 1.5

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 Reds 5245 10100 780 00 .222.327.244.571 .022.270 1513 .275 69 -2 +0 +1 -0.0
202318 ROKDSL Reds 10896 24702 10251 00 .250.327.385.713 .135.314 239 .319 102 +0 +0 +3 0.3
202419 ROKDSL Rojos 1713 3000 430 00 .231.412.231.643 .000.300 1824 .324 106 +0 +0 +0 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
Gilberto Rojas (OGILVIE) 21 .203/.268/.296 .093.289 01 30% 7% 56 -0.1
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
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
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
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
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
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
Dusty Ryan
2006 · A
21 38→47 40→50 44→40 39 .189/.242/.278 .089.268 86 32% 6% 40 -2.4 .202/.268/.307 .105.307 114 35% 7% 59 -1.1 .208/.285/.361.154.30817336%9%77+0.1
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6
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
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
Elias Díaz
2012 · A
21 38→48 38→50 46→45 40 .185/.232/.266 .080.243 55 26% 5% 32 -3.0 .201/.249/.282 .081.251 55 21% 5% 43 -2.2 .253/.312/.392.139.28017016%7%96+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
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Niko Vasquez
2010 · A
21 42→41 37→50 46→45 43 .198/.265/.271 .073.289 56 32% 8% 48 -1.9 .198/.273/.306 .108.273 103 29% 9% 61 -1.0 .227/.282/.376.149.29019628%6%81+0.2
Cutter Dykstra
2010 · A
21 41→51 40 47→55 43 .200/.262/.286 .086.275 811 29% 7% 50 -1.7 .221/.280/.298 .077.304 616 27% 7% 60 -1.0 .236/.303/.323.087.31361625%8%75-0.0
Wendell Rijo
2016 · A
20 42 41→55 49→50 40 .204/.258/.305 .100.281 813 29% 6% 53 -1.5 .196/.248/.278 .082.273 610 29% 6% 42 -2.3 .212/.269/.371.159.270201429%6%73-0.1
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Jhostynxon Garcia
2023 · A
20 37→42 41→50 46→50 45 .182/.264/.278 .096.277 88 35% 9% 50 -1.7 .199/.261/.332 .133.287 1410 34% 6% 63 -0.9 .207/.263/.362.155.281191033%6%68-0.4