Rafael MedinaC DSL Angels
Age 20 R/R 6'2" / 210 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2033
wRC+†55
AVG/OBP/SLG.201 / .267 / .295
PA53
HR1
K%31
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +1.5 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.5peak
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+2.4$23M+$22M
2033Ext / FA-deal$1.0M+2.5$25M+$24M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$4M+2.2$23M+$19M
2036Ext / FA-deal$6M+2.0$22M+$15M
2037Ext / FA-deal$7M+1.6$18M+$10M
Totals $21M $134M +$113M

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 Angels 5749 5101 4343 00 .102.214.184.398 .082.267 607 .170 -12 -7 +0 +0 +1 +2 -0.5
202418 ROKDSL Angels 8170 8101 7334 12 .114.235.171.406 .057.194 419 .197 9 -8 -1 +0 +1 +2 -0.5
▸ 2026 Season
202620 MLBLAA 5348 10201 4171 10 .208.283.312.596 .104.290 328 .258 55 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%LAA 117106 23412 9341 20 .217.284.330.615 .113.293 298 .281 73 -4 +0 +0 +2 +3 0.2
202822 MLB 28%LAA 262235 52926 22743 51 .221.296.353.649 .132.294 288 .295 84 -5 +1 +0 +5 +7 0.8
202923 MLB 48%LAA 366327 7413210 321014 71 .226.303.370.673 .144.294 289 .304 91 -4 +1 +0 +7 +10 1.4
203024 MLB 62%LAA 437389 9015313 401195 92 .231.311.386.697 .154.295 279 .309 95 -3 +1 +0 +8 +12 1.9
203125 MLB 80%LAA 479425 9817314 451296 92 .231.313.384.697 .153.296 279 .313 97 -1 +1 +0 +9 +14 2.2
203226 MLB 94%LAA 504445 10418315 481366 102 .234.317.389.705 .155.296 2710 .314 99 -1 +1 +0 +9 +14 2.4
203327 MLBLAA 515455 10518315 491396 102 .231.314.382.696 .152.296 2710 .314 99 -1 +1 +0 +9 +15 2.5
203428 MLBLAA 518457 10518315 501416 91 .230.314.381.695 .151.296 2710 .313 98 -1 +1 -1 +9 +15 2.4
203529 MLBLAA 513452 10418315 501416 81 .230.315.383.698 .153.295 2710 .311 96 -2 +1 -1 +9 +15 2.2
203630 MLBLAA 505445 10017314 491416 70 .225.310.371.681 .146.294 2810 .308 94 -3 +1 -2 +9 +14 2.0
203731 MLBLAA 478424 9416313 461355 40 .222.305.366.671 .144.292 2810 .304 91 -5 +1 -3 +9 +14 1.6
203832 MLBLAA 447396 8815312 431295 20 .222.306.366.672 .144.291 2910 .300 87 -6 +0 -4 +8 +13 1.1
203933 MLBLAA 407361 7713210 391204 00 .213.297.343.641 .130.289 2910 .294 83 -8 +0 -4 +7 +12 0.7
204034 MLBLAA 354313 671129 341074 00 .214.299.348.647 .134.287 3010 .288 78 -9 +0 -5 +6 +10 0.3
204135 MLBLAA 296263 55927 28933 00 .209.293.338.631 .129.285 319 .280 72 -9 +0 -6 +5 +8 -0.1
204236 MLBLAA 238212 42715 22772 00 .198.280.311.591 .113.282 329 .271 66 -9 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 66275872 130122239178 621190080 8414 .222.305.364.668 .142.293 299 .301 88 -89 +11 -31 +118 +188 20.1
/ 162G 650576 12822417 611868 81 .222.305.363.668 .141.295 299 .301 88 -9 +1 -3 +12 +18 2.0

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 Angels 5747 8201 6243 00 .170.304.277.580 .106.304 4211 .273 67 -2 +0 +2 -0.1
202418 ROKDSL Angels 8165 12202 12244 12 .185.346.308.653 .123.256 3015 .312 97 -0 -1 +2 0.1

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
Rafael Medina (OGILVIE) 20 .201/.267/.295 .093.290 11 31% 7% 55 -0.1
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
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
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
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
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
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
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
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
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
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
Brandon Barnes
2006 · A
20 38→48 38→55 47→50 37 .187/.241/.269 .081.271 67 32% 5% 37 -2.7 .181/.227/.256 .075.277 57 34% 5% 27 -3.3 .244/.289/.369.125.331121629%5%80+0.3
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
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
Wendell Rijo
2016 · A
20 42 41→55 49→50 40 .204/.258/.305 .100.281 813 29% 6% 53 -1.5 .196/.248/.278 .082.273 610 29% 6% 42 -2.3 .212/.269/.371.159.270201429%6%73-0.1
Jorge Alfaro
2013 · A
20 41→51 40→50 48→50 31 .196/.241/.295 .099.310 67 38% 3% 43 -2.2 .207/.258/.343 .136.301 149 35% 4% 64 -0.8 .259/.315/.406.147.38019635%5%97+0.8