Alfredo AlcantaraSS Dayton Dragons
Age 20 R/R 5'9" / 165 lbs A+ HR +9%K -4% Svc 0.0 · Ctrl thru 2035 peak 2.0 · 2033
wRC+†55
AVG/OBP/SLG.186 / .292 / .302
PA320
HR7
SB7
K%37
BB%10
MLB%0%
BAT: -16.1 runs (wOBA-derived runs vs avg)-16BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -2.6 runs (Defensive runs vs avg)-3FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
2039
PWR
4045
SPD
6053
FLD
3042
EYE
5860
trajectory · 10 yrs
2.6peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.6$14M+$14M
2031Arb-3$0.9M+1.8$17M+$16M
2032Ext / FA-deal$0.9M+1.9$18M+$17M
2033Ext / FA-deal$4M+2.0$20M+$15M
2034Ext / FA-deal$7M+1.9$19M+$13M
2035Ext / FA-deal$8M+1.6$17M+$8M
Totals $22M $105M +$83M

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 Reds 152130 25704 14476 21 .192.300.338.638 .146.263 319 .282 74 -4 +0 +0 +2 +4 0.1
202418 ROKACL Reds 205181 20203 171085 42 .110.207.171.378 .061.236 538 .180 -4 -24 +0 +0 +2 +6 -1.6
202519 ROK2 teams 328269 601306 3910515 103 .223.353.338.691 .115.335 3212 .309 95 -2 +1 +0 +4 +9 1.2
▸ 2026 Season (actual · ROS · total)
202620 A+Dayton Dragons 6655 7101 8302 21 .127.262.200.462 .073.240 4512 .206 16 -6 +0 +0 +1 +2 -0.4
ROS20 MLBCIN 254218 39805 27967 52 .179.290.284.574 .106.286 3811 .271 66 -10 +0 -3 +3 +7 -0.2
TOT20 MLBCIN 320273 46906 351269 73 .168.284.267.551 .099.280 3911 .258 55 -16 +0 -3 +3 +9 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 7%CIN 383325 6412110 4411511 83 .197.313.332.645 .135.265 3011 .293 83 -8 +0 -4 +4 +11 0.4
202822 MLB 18%CIN 464394 8015113 5413413 103 .203.319.345.664 .142.268 2912 .303 90 -5 +1 -5 +5 +13 0.9
202923 MLB 27%CIN 517437 9117115 6114514 124 .208.324.355.679 .146.270 2812 .310 95 -3 +1 -5 +6 +15 1.3
203024 MLB 37%CIN 551466 9818117 6615214 124 .210.326.363.689 .152.271 2812 .314 99 -1 +1 -6 +6 +16 1.6
203125 MLB 45%CIN 571481 10219118 7015715 124 .212.330.368.698 .156.272 2712 .318 101 +1 +1 -6 +6 +16 1.8
203226 MLB 51%CIN 580488 10319118 7215915 124 .211.330.365.695 .154.272 2712 .319 103 +2 +1 -6 +6 +16 1.9
203327 MLB 60%CIN 582489 10319118 7316115 123 .211.331.364.695 .153.272 2813 .319 103 +2 +1 -6 +6 +16 2.0
203428 MLB 63%CIN 578485 10219118 7316115 123 .210.332.365.697 .155.272 2813 .318 102 +1 +1 -7 +6 +16 1.9
203529 MLB 66%CIN 568476 10019117 7215915 113 .210.332.361.693 .151.270 2813 .316 100 +0 +1 -7 +6 +16 1.6
203630 MLB 76%CIN 558467 9718117 7115915 102 .208.331.360.691 .152.269 2813 .313 98 -1 +1 -8 +6 +16 1.4
203731 MLB 87%CIN 544456 9317116 6915714 92 .204.327.351.677 .147.267 2913 .309 95 -3 +1 -8 +6 +15 1.1
203832 MLBCIN 526442 8816115 6615413 81 .199.321.342.662 .143.265 2913 .305 91 -5 +1 -9 +6 +15 0.8
203933 MLBCIN 496418 8215113 6214913 70 .196.318.330.649 .134.263 3012 .299 87 -7 +1 -9 +5 +14 0.4
204034 MLBCIN 450380 7313112 5613911 60 .192.313.326.640 .134.261 3112 .293 82 -9 +1 -10 +5 +13 0.0
204135 MLBCIN 395333 601109 4912610 60 .180.304.294.598 .114.258 3212 .285 76 -11 +1 -10 +4 +11 -0.4
204236 MLBCIN 335283 50907 411108 50 .177.298.283.581 .106.255 3312 .276 70 -12 +1 -10 +4 +9 -0.7
▸ Career Totals (MLE all levels + projections)
Career 90377618 153028614251 10962693244 17344 .201.320.341.661 .140.271 3012 .303 90 -99 +17 -118 +97 +256 15.6
/ 162G 650548 11021118 7919418 123 .201.321.341.663 .141.271 3012 .303 90 -7 +1 -9 +7 +18 1.1

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 Reds 152120 32905 24326 21 .267.413.467.880 .200.321 2116 .391 157 +10 +0 +4 1.4
202418 ROKACL Reds 205169 32405 29745 42 .189.325.302.627 .112.293 3614 .294 83 -4 +0 +6 0.2
202519 ADaytona Tortugas 139105 28406 213011 32 .267.438.476.914 .210.319 2215 .408 170 +11 -0 +4 1.5
202519 ROKACL Reds 189149 471302 33444 71 .315.452.443.895 .128.425 2317 .401 165 +14 +1 +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
Alfredo Alcantara (OGILVIE) 20 20→39 40→45 60→53 60 .186/.292/.302 .116.290 75 37% 10% 71 -0.2
Carlos Jimenez
2023 · A
20 38→41 46→50 53→55 45 .189/.278/.319 .129.289 1415 37% 10% 67 -0.5 .210/.289/.331 .121.326 1216 36% 9% 74 -0.1 .216/.296/.349.133.314151933%9%78+0.1
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
Max Muncy
2023 · A
20 38→46 48→45 50 41 .192/.267/.331 .138.299 1612 39% 8% 65 -0.7 .212/.277/.338 .126.320 1310 36% 7% 71 -0.3 .217/.280/.344.127.31614834%6%71-0.2
Robert Gonzalez
2021 · A
20 41 40→45 54→60 47 .189/.291/.289 .100.303 78 36% 10% 66 -0.6 .201/.301/.282 .081.273 617 26% 10% 68 -0.5 .180/.308/.228.048.22553019%12%56-0.5
Marcus Greene Jr.
2016 · A
21 42 46→50 52→40 44 .205/.283/.341 .136.298 138 34% 9% 74 -0.1 .199/.260/.324 .125.272 144 31% 7% 60 -1.0 .192/.251/.302.111.25513129%6%48-0.7
Rudy van Heydoorn
2009 · A
20 40 43→45 43→50 47 .193/.290/.298 .105.281 1110 32% 10% 67 -0.5 .182/.264/.285 .103.284 106 37% 8% 52 -1.6 .153/.236/.254.101.23711238%9%32-0.9
Kevin Padlo
2016 · A
20 39→40 46→55 50 46 .198/.273/.333 .136.268 138 30% 8% 68 -0.5 .186/.271/.313 .127.268 128 33% 10% 63 -0.9 .191/.263/.361.170.260211235%8%69-0.3
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
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
Francisco Murillo
2007 · A
20 42 47→50 49→50 43 .213/.279/.345 .133.294 158 32% 8% 73 -0.1 .199/.259/.322 .123.301 136 36% 7% 59 -1.1 .150/.210/.278.128.22914340%6%26-1.2
Max Stassi
2011 · A
20 39→43 45→55 43→40 38 .194/.254/.315 .121.302 135 39% 7% 55 -1.4 .211/.269/.347 .136.289 164 31% 6% 69 -0.4 .208/.295/.359.151.27120030%10%81+0.2
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
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Sean Coyle
2012 · A
20 38→36 49→50 53→50 42 .198/.271/.352 .155.274 1613 33% 7% 72 -0.2 .199/.257/.341 .142.284 1613 34% 6% 63 -0.8 .197/.258/.362.165.284221538%7%67-0.3
Jonathan Galvez
2011 · A
20 44→48 43→45 49→55 46 .210/.289/.319 .109.300 1012 32% 9% 71 -0.3 .227/.281/.348 .121.324 1119 31% 6% 74 -0.1 .232/.281/.348.116.327102331%5%71-0.2
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
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
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
Bryan Ramos
2022 · A
20 40 45→50 49→50 41 .203/.270/.328 .125.273 128 30% 6% 66 -0.6 .212/.271/.357 .145.264 195 27% 6% 73 -0.1 .206/.264/.348.141.25120526%6%65-0.5
Thomas Saggese
2022 · A
20 44→54 48→55 51→50 42 .211/.284/.355 .144.327 1612 38% 9% 78 +0.2 .229/.279/.381 .152.311 1710 31% 6% 82 +0.5 .235/.288/.373.139.31416829%5%82+0.4