Jose Marcano2B DSL CLE Goryl
Age 20 L/R 5'10" / 155 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 2.7 · 2033
wRC+†76
AVG/OBP/SLG.226 / .291 / .337
PA91
HR1
K%25
BB%7
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.6 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
6166
PWR
2833
SPD
4550
EYE
4045
trajectory · 10 yrs
2.7peak
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
2032Pre-Arb$0.9M+2.6$25M+$24M
2033Pre-Arb$1.0M+2.7$27M+$26M
2034Pre-Arb$1.0M+2.5$25M+$24M
2035Arb-1$5M+2.4$25M+$20M
2036Arb-2$7M+2.1$23M+$16M
2037Arb-3$9M+1.9$21M+$12M
Totals $24M $145M +$121M

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
202317 ROKDSL Guardians Red 201185 23710 11621 31 .124.178.173.351 .049.181 315 .163 -17 -27 +0 +0 +1 +6 -2.0
202418 ROKDSL CLE Mendoza 107102 23310 4120 23 .225.255.275.529 .049.253 114 .230 34 -8 -1 +0 +0 +3 -0.5
202519 ROKDSL CLE Goryl 10696 19410 7231 11 .198.260.260.520 .063.257 227 .217 24 -9 -0 +0 +0 +3 -0.6
▸ 2026 Season
202620 MLBPIT 9183 19411 7221 20 .229.297.337.634 .108.293 248 .285 76 -2 +0 +0 +0 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%PIT 178159 38714 15412 31 .239.312.371.684 .132.297 238 .304 91 -2 +0 +0 +1 +5 0.4
202822 MLB 28%PIT 309276 691327 27683 62 .250.324.388.711 .138.300 229 .315 100 -0 +0 +0 +1 +9 1.0
202923 MLB 48%PIT 399356 8916210 36854 82 .250.326.390.716 .140.301 219 .323 106 +3 +1 +0 +1 +11 1.6
203024 MLB 62%PIT 460409 10519312 43965 92 .257.335.406.741 .149.302 219 .329 110 +5 +1 +0 +2 +13 2.1
203125 MLB 80%PIT 495440 11220313 471025 102 .255.333.402.736 .148.303 219 .332 112 +7 +1 +0 +2 +14 2.4
203226 MLB 94%PIT 515455 11721314 501065 102 .257.337.409.746 .152.304 2110 .334 114 +8 +1 +0 +2 +15 2.6
203327 MLBPIT 523462 11821314 511085 102 .255.336.405.741 .149.304 2110 .334 114 +8 +1 +0 +2 +15 2.7
203428 MLBPIT 524462 11821314 521095 92 .255.337.405.742 .149.304 2110 .333 113 +8 +1 -1 +2 +15 2.5
203529 MLBPIT 517456 11721314 511095 91 .257.338.408.746 .151.304 2110 .331 112 +7 +1 -1 +2 +15 2.4
203630 MLBPIT 509448 11320313 511095 81 .252.335.397.733 .145.303 2110 .329 110 +6 +1 -2 +2 +14 2.1
203731 MLBPIT 496439 11019313 491085 70 .251.333.396.729 .146.303 2210 .325 107 +4 +1 -3 +2 +14 1.9
203832 MLBPIT 479424 10518312 471075 70 .248.330.389.719 .142.302 2210 .321 104 +2 +1 -4 +2 +14 1.6
203933 MLBPIT 450399 9717210 441044 60 .243.324.371.695 .128.301 2310 .316 100 -0 +1 -4 +2 +13 1.2
204034 MLBPIT 404358 861529 39964 60 .240.322.369.690 .128.301 2410 .310 95 -2 +1 -5 +1 +11 0.7
204135 MLBPIT 349309 731227 34873 50 .236.318.356.674 .120.300 2510 .303 90 -4 +1 -6 +1 +10 0.3
204236 MLBPIT 291259 591015 28762 50 .228.308.332.640 .104.299 2610 .295 84 -5 +1 -6 +1 +8 -0.1
204337 MLBPIT 228203 45714 21612 40 .222.301.325.626 .103.297 279 .286 77 -6 +1 -7 +1 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 76316780 165529544176 714169172 13022 .244.323.378.701 .134.298 229 .315 99 -8 +17 -38 +27 +216 21.8
/ 162G 650578 14125415 611446 112 .244.323.379.702 .135.298 229 .315 99 -1 +1 -3 +2 +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
202317 ROKDSL Guardians Red 201176 331010 20421 31 .188.274.256.530 .068.239 2110 .244 45 -12 +0 +6 -0.7
202418 ROKDSL CLE Mendoza 10799 29510 780 23 .293.340.364.703 .071.315 77 .315 99 -0 -1 +3 0.2
202519 ROKDSL CLE Goryl 10692 24510 11171 11 .261.346.337.683 .076.316 1610 .309 95 -1 -0 +3 0.2

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
Jose Marcano (OGILVIE) 20 61→66 28→33 45→50 45 .226/.291/.337 .110.293 12 25% 7% 76 +0.0
J.P. Crawford
2015 · A
20 51→58 41→45 47→50 51 .245/.310/.342 .096.296 815 20% 8% 85 +0.7 .235/.303/.332 .097.280 811 18% 9% 79 +0.3 .263/.355/.386.123.30711217%11%113+2.8
Brandon Marsh
2018 · A
20 49→59 42→50 54→50 37 .235/.276/.347 .112.314 811 27% 4% 72 -0.2 .221/.280/.325 .104.331 812 33% 7% 68 -0.5 .262/.344/.424.163.366161630%11%115+2.2
Jackson Merrill
2023 · A
20 51→58 42→55 51→50 41 .244/.289/.355 .111.326 912 27% 6% 79 +0.3 .259/.300/.414 .155.299 1712 19% 5% 99 +1.7 .266/.310/.441.174.301191018%6%107+1.9
Adrian Cardenas
2008 · A
20 49→57 41→40 50 44 .239/.281/.337 .098.287 813 20% 5% 70 -0.3 .254/.300/.347 .093.306 610 18% 6% 81 +0.4 .269/.318/.358.090.3125815%6%90+0.9
Andrés Giménez
2018 · A
19 50→60 39→50 48→55 48 .235/.303/.327 .092.279 611 18% 6% 78 +0.2 .235/.290/.342 .107.303 722 24% 5% 77 +0.1 .262/.326/.420.159.312172521%5%108+2.1
Noah Mendlinger
2022 · A
21 48→58 39→40 45 51 .228/.304/.321 .093.288 57 22% 9% 77 +0.1 .241/.330/.319 .078.292 48 17% 9% 89 +0.9 .264/.349/.334.069.3122814%8%97+1.1
Alexi Amarista
2009 · A
20 53→60 39→45 50→55 50 .250/.302/.341 .091.281 617 14% 6% 80 +0.4 .259/.304/.359 .100.300 418 14% 5% 85 +0.7 .260/.301/.361.101.30241915%5%82+0.4
Jackson Holliday
2023 · A
19 50→59 41→50 50 56 .236/.325/.340 .104.299 810 22% 12% 91 +1.1 .251/.334/.388 .137.334 1214 26% 11% 107 +2.2 .247/.330/.386.139.319141525%10%103+1.9
Justin Yurchak
2018 · A
21 51→61 44→40 49→40 52 .249/.317/.367 .118.295 124 20% 9% 94 +1.3 .228/.288/.319 .091.284 72 21% 8% 69 -0.4 .273/.337/.381.107.33711221%8%103+1.1
Vaughn Grissom
2022 · A
21 52→62 42→50 53→55 48 .250/.318/.360 .110.306 911 21% 7% 93 +1.3 .269/.332/.397 .128.319 1217 19% 7% 108 +2.3 .268/.333/.391.123.317121819%7%103+1.6
Kolten Wong
2012 · A
21 51→60 45→50 48→55 48 .248/.300/.374 .126.278 1112 16% 6% 89 +0.9 .251/.296/.362 .111.291 918 17% 5% 84 +0.6 .270/.354/.410.140.305121615%9%112+2.0
Dee Strange-Gordon
2009 · A
21 51→61 37→40 52→65 44 .240/.277/.317 .077.285 414 17% 4% 63 -0.8 .258/.296/.329 .071.317 234 18% 4% 74 -0.1 .308/.341/.394.087.36435515%4%106+2.0
Steven Kwan
2019 · A
21 49→59 38→45 52→50 51 .228/.300/.311 .082.280 48 19% 8% 72 -0.2 .239/.294/.333 .094.272 68 14% 7% 76 +0.0 .283/.359/.393.109.30781610%10%115+2.9
Alex Verdugo
2016 · A
20 53→58 42→50 51→45 43 .257/.287/.364 .107.290 910 15% 4% 80 +0.4 .254/.298/.362 .108.290 107 16% 6% 85 +0.7 .289/.349/.442.153.32615716%8%121+2.1
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
Jorbit Vivas
2021 · A
20 46→56 37→45 49→50 46 .213/.285/.291 .079.271 312 22% 7% 62 -0.9 .249/.320/.374 .125.280 127 15% 7% 98 +1.6 .245/.326/.367.122.27212914%7%96+1.4
Cam Maron
2011 · A
20 47→55 40 50→40 47 .224/.290/.318 .093.286 76 23% 8% 70 -0.3 .241/.308/.323 .082.307 64 22% 8% 79 +0.3 .246/.316/.311.065.3164222%9%75+0.0
Richi Sanchez
2014 · A
20 51 40→45 50 56 .242/.330/.341 .100.294 69 19% 11% 93 +1.3 .219/.290/.298 .079.284 37 22% 8% 65 -0.7 .202/.252/.280.079.2550620%6%40-0.6
Thairo Estrada
2017 · A
21 51→61 41→50 47→55 44 .246/.290/.344 .098.294 912 20% 6% 76 +0.1 .254/.295/.350 .096.300 89 18% 5% 80 +0.4 .270/.326/.420.150.314172119%5%108+1.8
Colin Moran
2014 · A
21 48→57 43→55 50→30 45 .234/.283/.345 .110.286 106 22% 6% 74 -0.1 .246/.290/.349 .103.318 93 24% 6% 77 +0.1 .271/.332/.429.158.32419021%8%111+1.6