Gabriel RosadoC FCL Tigers
Age 20 L/R 6'1" / 180 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 2.4 · 2033
wRC+†50
AVG/OBP/SLG.198 / .262 / .284
PA59
HR1
K%32
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.4peak
2033

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+2.3$22M+$21M
2033Ext / FA-deal$1.0M+2.4$24M+$23M
2034Ext / FA-deal$1.0M+2.3$23M+$22M
2035Ext / FA-deal$4M+2.1$22M+$18M
2036Ext / FA-deal$6M+1.8$19M+$13M
2037Ext / FA-deal$7M+1.4$16M+$9M
Totals $20M $126M +$106M

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
202519 ROKFCL Tigers 5650 9101 6320 31 .180.268.260.528 .080.471 5711 .219 26 -5 +0 +0 +1 +2 -0.2
▸ 2026 Season
202620 MLBDET 5954 11201 4191 10 .204.271.296.567 .093.291 327 .251 50 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 147133 29513 12451 21 .218.288.338.626 .120.294 318 .276 69 -5 +0 +0 +3 +4 0.2
202822 MLB 28%DET 284255 56927 24833 51 .220.294.353.647 .133.295 298 .291 81 -6 +1 +0 +5 +8 0.8
202923 MLB 48%DET 381340 7713310 341084 71 .226.304.371.675 .144.296 289 .301 88 -5 +1 +0 +7 +11 1.4
203024 MLB 62%DET 447398 9115313 411245 92 .229.309.379.688 .151.296 289 .306 93 -4 +1 +0 +8 +13 1.8
203125 MLB 80%DET 485432 9917314 451345 92 .229.309.380.689 .150.297 289 .310 95 -3 +1 +0 +9 +14 2.1
203226 MLB 94%DET 507449 10317315 481405 102 .229.311.381.692 .151.297 289 .312 97 -2 +1 +0 +9 +14 2.3
203327 MLBDET 517458 10618415 491435 102 .231.312.386.699 .155.297 289 .312 97 -2 +1 +0 +9 +15 2.4
203428 MLBDET 518458 10518315 501455 91 .229.312.380.692 .151.297 2810 .311 96 -2 +1 -1 +9 +15 2.3
203529 MLBDET 512452 10317315 501455 81 .228.312.378.690 .150.296 2810 .309 94 -3 +1 -1 +9 +15 2.1
203630 MLBDET 504445 10017314 491445 70 .225.309.371.679 .146.295 2910 .305 92 -5 +1 -2 +9 +14 1.8
203731 MLBDET 477423 9315313 461385 40 .220.304.362.665 .142.293 2910 .302 89 -6 +1 -3 +9 +14 1.4
203832 MLBDET 446396 8714312 431324 20 .220.302.361.664 .141.292 3010 .297 85 -7 +0 -4 +8 +13 1.0
203933 MLBDET 405359 7612210 391224 00 .212.296.340.636 .128.290 3010 .292 81 -9 +0 -4 +7 +11 0.6
204034 MLBDET 352312 641028 341093 00 .205.289.327.616 .122.288 3110 .285 76 -9 +0 -5 +6 +10 0.2
204135 MLBDET 294261 54827 28943 00 .207.291.333.624 .126.286 3210 .278 71 -10 +0 -6 +5 +8 -0.2
204236 MLBDET 236210 41615 22782 00 .195.278.305.583 .110.283 339 .269 64 -10 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 66275885 130421441178 624193565 8614 .222.303.363.666 .141.296 299 .299 87 -95 +12 -31 +118 +188 19.5
/ 162G 650577 12721417 611906 81 .220.301.359.660 .139.295 299 .299 87 -9 +1 -3 +12 +18 1.9

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
202519 ROKFCL Tigers 5646 12101 10220 31 .261.393.348.741 .087.478 3918 .346 123 +1 +0 +2 0.3

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
Gabriel Rosado (OGILVIE) 20 .198/.262/.284 .087.291 11 32% 7% 50 -0.2
Carlos Rodriguez
2023 · A
20 38 40→45 47→45 45 .183/.271/.272 .089.286 76 36% 10% 52 -1.6 .190/.265/.267 .077.298 56 35% 9% 47 -1.9 .182/.268/.267.085.2746333%10%48-0.6
Carter Jensen
2023 · A
20 38→47 43→50 46→50 46 .188/.269/.299 .110.273 107 33% 10% 58 -1.2 .198/.288/.331 .133.275 139 30% 11% 74 -0.1 .206/.294/.357.151.275171030%11%81+0.4
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
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
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
Hoy Park
2016 · A
20 41→50 41→45 47→55 46 .198/.271/.297 .099.267 810 28% 8% 57 -1.2 .198/.270/.283 .085.271 516 27% 8% 53 -1.5 .229/.318/.327.099.30091724%11%81+0.3
Oneil Cruz
2019 · A
20 43→51 43→60 47→55 36 .212/.251/.327 .115.305 118 34% 5% 55 -1.4 .228/.271/.373 .145.324 1613 33% 5% 76 +0.1 .241/.304/.442.201.317252231%8%103+1.7
Jordany Valdespin
2008 · A
20 43→53 37→50 49→55 48 .204/.279/.280 .076.269 410 24% 8% 56 -1.3 .220/.264/.318 .098.269 713 20% 5% 59 -1.1 .259/.298/.407.148.300172820%4%94+0.8
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Tyson Gillies
2009 · A
20 43→53 36→45 48→55 38 .203/.269/.275 .073.296 313 31% 5% 51 -1.7 .268/.327/.373 .105.334 821 21% 6% 99 +1.7 .286/.343/.399.113.36072121%5%109+1.3
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
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
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
Josh VanMeter
2015 · A
20 44→49 36→55 46→50 43 .208/.258/.271 .063.273 38 24% 6% 43 -2.2 .211/.263/.298 .087.266 78 22% 7% 53 -1.5 .233/.308/.416.182.283191224%9%101+1.3
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
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Eliezer Álvarez
2015 · A
20 42→52 40→45 52→55 45 .200/.258/.300 .100.254 512 23% 6% 52 -1.6 .245/.295/.353 .108.319 515 23% 6% 81 +0.4 .255/.310/.365.110.34061925%6%88+0.5
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Jack Suwinski
2018 · A
20 40→41 39→60 44→50 40 .192/.252/.274 .082.280 76 32% 6% 43 -2.2 .192/.252/.298 .106.277 105 33% 7% 50 -1.8 .210/.307/.421.211.281281034%11%102+1.6
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9