Alver MedinaSS DSL Twins
Age 19 R/R 5'11" / 160 lbs ROK BB +3% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+†53
AVG/OBP/SLG.200 / .265 / .289
PA62
HR1
K%31
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
3.0peak
2034

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+2.8$27M+$26M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.8$29M+$23M
2036Ext / FA-deal$9M+2.6$28M+$19M
2037Ext / FA-deal$12M+2.3$25M+$14M
Totals $30M $169M +$140M

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
202417 ROKDSL Twins 11097 14110 8494 72 .144.239.175.414 .031.286 457 .188 2 -12 +1 +0 +1 +3 -0.7
▸ 2026 Season
202619 MLBMIN 6257 11201 4191 10 .193.258.281.539 .088.290 316 .254 53 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%MIN 120108 23412 10351 21 .213.286.324.610 .111.298 298 .284 75 -3 +0 +0 +1 +3 0.1
202821 MLB 28%MIN 271242 55927 24763 61 .227.305.368.673 .140.300 289 .301 89 -3 +1 +0 +3 +8 0.8
202922 MLB 48%MIN 385341 8013311 361055 92 .235.317.387.704 .152.300 279 .311 96 -2 +1 +0 +4 +11 1.5
203023 MLB 65%MIN 462409 9616314 441236 112 .235.318.391.709 .156.300 2710 .317 101 +1 +1 +0 +5 +13 2.0
203124 MLB 82%MIN 513452 10718316 501356 122 .237.321.396.717 .159.301 2610 .321 104 +2 +2 +0 +5 +15 2.5
203225 MLBMIN 544477 11519417 551427 132 .241.328.405.733 .164.301 2610 .325 107 +4 +2 +0 +6 +15 2.8
203326 MLBMIN 562493 11920418 571477 142 .241.329.408.736 .166.302 2610 .326 108 +5 +2 +0 +6 +16 3.0
203427 MLBMIN 568497 12020418 591497 132 .241.330.406.737 .165.302 2610 .326 108 +5 +2 +0 +6 +16 3.0
203528 MLBMIN 568497 11920418 591507 132 .239.329.404.733 .165.302 2610 .325 107 +5 +2 -1 +6 +16 2.8
203629 MLBMIN 561490 11619417 591507 111 .237.327.396.723 .159.301 2711 .323 105 +3 +2 -1 +6 +16 2.6
203730 MLBMIN 552482 11319317 581497 101 .234.325.392.718 .158.299 2711 .320 103 +2 +2 -2 +6 +16 2.3
203831 MLBMIN 539472 10918316 561486 70 .231.320.383.704 .153.298 2710 .316 100 +0 +1 -3 +6 +15 2.0
203932 MLBMIN 521456 10417315 541466 50 .228.318.377.695 .149.296 2810 .312 97 -2 +1 -4 +6 +15 1.6
204033 MLBMIN 492432 9616313 511416 30 .222.313.363.676 .141.295 2910 .306 92 -4 +1 -4 +5 +14 1.2
204134 MLBMIN 445391 8614312 461315 10 .220.310.363.673 .143.293 2910 .300 87 -6 +0 -5 +5 +13 0.6
204235 MLBMIN 391344 721129 401194 00 .209.299.331.630 .122.291 3010 .292 81 -8 +0 -6 +4 +11 0.2
204336 MLBMIN 331291 59927 331054 00 .203.293.320.612 .117.288 3210 .283 75 -9 +0 -6 +4 +9 -0.3
204437 MLBMIN 267236 46715 26873 00 .195.283.297.580 .102.284 3310 .273 67 -10 +0 -7 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 82647264 166027253233 8292306102 13820 .229.316.377.693 .148.299 2810 .311 96 -37 +20 -38 +89 +234 27.2
/ 162G 650571 13021418 651818 112 .228.315.373.688 .145.299 2810 .311 96 -3 +1 -3 +7 +18 2.1

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
202417 ROKDSL Twins 11092 21210 13344 72 .228.349.272.620 .043.356 3112 .295 84 -2 +1 +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
Alver Medina (OGILVIE) 19 .200/.265/.289 .089.290 11 31% 7% 53 -0.2
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
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
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Ezequiel Tovar
2021 · A
19 44→50 37→55 50 44 .206/.273/.280 .074.302 314 31% 8% 53 -1.5 .239/.275/.375 .136.286 1415 22% 4% 79 +0.3 .251/.287/.420.170.321191128%4%93+1.2
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3
Michael Chavis
2015 · A
19 44→47 38→60 48→45 39 .203/.258/.292 .090.318 48 36% 6% 50 -1.8 .193/.237/.327 .134.278 156 35% 4% 50 -1.7 .235/.292/.438.203.30429332%6%100+1.1
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Christian Vázquez
2010 · A
19 43→53 36→50 48→45 40 .200/.257/.272 .072.296 35 32% 6% 43 -2.2 .209/.259/.309 .100.278 103 27% 6% 55 -1.4 .263/.314/.411.148.30118819%7%101+1.2