Samuell SanchezOF DSL Tigers 1
Age 20 L/L 5'11" / 165 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2032
wRC+†67
AVG/OBP/SLG.204 / .283 / .312
PA135
HR2
K%31
BB%9
MLB%0%
BAT: -5.0 runs (wOBA-derived runs vs avg)-5BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.8 runs (Positional adjustment)-1POSREP: +3.8 runs (Replacement-level credit)+4REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
4545
PWR
3535
SPD
5555
EYE
6060
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+1.4$14M+$13M
2034Ext / FA-deal$1.0M+1.3$13M+$12M
2035Ext / FA-deal$2M+1.1$11M+$9M
2036Ext / FA-deal$3M+0.9$5M+$2M
2037Ext / FA-deal$3M+0.6$3M+$0.3M
Totals $11M $60M +$49M

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 ROKDSL Tigers 1 162131 23211 196611 95 .176.329.229.558 .053.344 4112 .250 50 -9 -0 +0 -1 +5 -0.6
▸ 2026 Season
202620 MLBDET 135120 24412 12422 21 .200.284.300.584 .100.289 319 .273 67 -5 +0 +0 -1 +4 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 217192 41715 20643 51 .214.298.339.636 .125.291 299 .290 80 -5 +1 +0 -1 +6 0.1
202822 MLB 28%DET 339299 651128 33954 82 .217.304.348.651 .130.292 2810 .301 88 -5 +1 +0 -2 +10 0.4
202923 MLB 48%DET 421371 8314311 421155 102 .224.311.367.678 .143.292 2710 .307 93 -3 +1 +0 -3 +12 0.8
203024 MLB 62%DET 476418 9416313 491286 112 .225.315.371.686 .146.292 2710 .312 97 -2 +1 +0 -3 +13 1.1
203125 MLB 80%DET 508444 10318315 531366 112 .232.322.387.709 .155.293 2710 .315 99 -0 +1 +0 -3 +14 1.3
203226 MLB 94%DET 525457 10518315 561407 122 .230.323.381.704 .151.294 2711 .317 101 +0 +2 +0 -3 +15 1.4
203327 MLBDET 532463 10518315 571437 122 .227.321.376.696 .149.294 2711 .317 101 +0 +2 +0 -3 +15 1.4
203428 MLBDET 532462 10518315 581447 112 .227.323.377.699 .149.293 2711 .316 100 -0 +1 -1 -3 +15 1.3
203529 MLBDET 524455 10418315 571437 111 .229.324.380.704 .152.292 2711 .314 98 -1 +2 -1 -3 +15 1.1
203630 MLBDET 516449 10017314 561436 101 .223.317.367.685 .145.291 2811 .310 96 -2 +2 -2 -3 +15 0.9
203731 MLBDET 503437 9616313 551416 90 .220.315.359.675 .140.289 2811 .307 93 -4 +2 -3 -3 +14 0.6
203832 MLBDET 485423 9115312 531396 90 .215.311.350.661 .135.288 2911 .302 89 -6 +2 -4 -3 +14 0.3
203933 MLBDET 456399 8414211 491345 80 .211.305.338.643 .128.286 2911 .297 85 -8 +2 -4 -3 +13 -0.0
204034 MLBDET 410358 7412210 441245 70 .207.302.335.637 .128.284 3011 .290 80 -9 +1 -5 -2 +12 -0.4
▸ Career Totals (MLE all levels + projections)
Career 67415878 129721839175 713189793 14523 .221.315.360.675 .140.292 2811 .306 92 -58 +20 -20 -40 +191 9.4
/ 162G 650567 12521417 691839 142 .220.315.362.676 .141.292 2811 .306 92 -6 +2 -2 -4 +18 0.9

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 ROKDSL Tigers 1 162117 36314 334511 95 .308.497.453.950 .145.471 2820 .434 190 +16 -0 +5 2.1

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
Samuell Sanchez (OGILVIE) 20 45 35 55 60 .204/.283/.312 .109.289 22 31% 9% 67 -0.1
Forrest Wall
2016 · A
20 45→55 42→45 57→70 45 .220/.273/.329 .110.277 817 23% 7% 66 -0.6 .218/.270/.313 .095.291 818 26% 6% 59 -1.1 .260/.332/.371.111.35495027%9%98+1.0
Akil Baddoo
2019 · A
20 42→51 43→55 56→55 48 .206/.282/.325 .120.283 913 29% 9% 69 -0.4 .212/.283/.340 .128.306 1116 32% 9% 73 -0.1 .232/.314/.375.143.300152426%11%91+0.8
Iverson Leonardo
2022 · A
20 42 44→50 47→50 42 .203/.279/.327 .124.304 109 34% 8% 69 -0.4 .188/.266/.293 .105.307 98 39% 8% 55 -1.4 .155/.246/.249.095.2618840%9%34-0.7
Gavin Lux
2018 · A
20 46→56 39→50 53→50 46 .218/.277/.306 .088.285 612 25% 7% 61 -1.0 .245/.301/.388 .143.311 1511 25% 7% 93 +1.3 .260/.330/.404.144.32714823%9%106+1.8
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
Canaan Smith-Njigba
2019 · A
20 45→47 41→45 46→55 51 .216/.301/.314 .097.294 97 28% 10% 74 -0.1 .227/.294/.343 .116.313 1110 29% 8% 79 +0.3 .228/.299/.352.124.336112133%9%80+0.2
Ricardo Burgos
2007 · A
20 45 41→45 48→40 53 .213/.305/.314 .101.294 76 28% 11% 76 +0.1 .214/.289/.333 .119.306 125 31% 9% 75 -0.0 .191/.262/.333.141.26619234%8%63-0.2
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
Yeicok Calderon
2012 · A
20 43 43→45 49→45 41 .209/.272/.325 .115.304 107 33% 7% 65 -0.7 .192/.241/.314 .122.306 135 40% 6% 49 -1.8 .179/.225/.300.121.27915340%5%36-0.9
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
Victor Arias
2023 · A
19 46 38→45 49→50 43 .205/.282/.285 .080.335 411 37% 9% 59 -1.1 .215/.299/.323 .108.322 916 33% 9% 76 +0.1 .219/.297/.335.116.314101831%8%75+0.0
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
Ramón Flores
2012 · A
20 43→53 40→45 49→50 45 .210/.266/.300 .090.264 78 23% 7% 55 -1.4 .234/.290/.334 .100.294 710 22% 7% 74 -0.1 .247/.321/.343.096.2959818%9%86+0.5
Jose Roman
2011 · A
20 45 40 46→45 45 .215/.275/.308 .093.293 65 28% 8% 61 -1.0 .231/.290/.327 .096.288 76 21% 7% 72 -0.2 .249/.309/.344.095.2928617%8%81+0.2
Daniel Montesino
2023 · A
19 48 40 48→45 46 .220/.301/.315 .094.332 68 33% 9% 74 -0.1 .200/.267/.273 .073.315 39 34% 7% 49 -1.8 .172/.232/.221.049.2860837%6%18-1.1
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
Juan Silva
2011 · A
20 40→47 39→45 52→55 40 .191/.251/.286 .095.298 58 36% 7% 45 -2.1 .212/.282/.311 .099.309 813 31% 9% 65 -0.7 .231/.314/.336.105.31182926%10%84+0.4
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
Jake Fox
2023 · A
20 45→42 39→40 54→50 49 .212/.298/.304 .091.296 615 28% 9% 71 -0.3 .198/.270/.293 .095.273 711 28% 8% 56 -1.3 .181/.255/.273.092.24871028%9%42-1.5
Efrain Contreras
2007 · A
20 44 41→45 51→55 44 .212/.278/.308 .097.264 88 22% 6% 63 -0.8 .227/.291/.336 .109.276 1014 21% 6% 76 +0.0 .227/.291/.331.104.281101522%5%72-0.1