Alexander RamirezOF Tri-City Dust Devils
Age 23 R/R 6'2" / 237 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035
wRC+†18
AVG/OBP/SLG.148 / .206 / .249
PA231
HR5
SB5
K%52
BB%6
MLB%0%
BAT: -21.5 runs (wOBA-derived runs vs avg)-21BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.4 runs (Positional adjustment)-1POSREP: +6.5 runs (Replacement-level credit)+7REPTotal WAR: -1.60-1.6WAR
Scouting · nowfuture
HIT
2025
PWR
4853
SPD
4853
EYE
4651
trajectory · 10 yrs
-1.4peak
2029

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
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $-11M $-51M -$40M
Underwater contract
Projected production over the remaining contract is worth -$40M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
201916 ROKDSL Angels 177160 22433 10856 60 .138.216.256.472 .119.260 486 .203 14 -17 +1 +0 -1 +5 -1.2
202118 ROK2 teams 235208 26432 201186 44 .125.222.202.424 .077.270 509 .197 9 -24 -1 +0 -1 +7 -2.0
202219 AInland Empire 66ers 520484 811737 2221611 218 .167.221.258.479 .091.280 424 .212 20 -47 +1 +0 -3 +15 -3.5
202320 A+Tri-City Dust Devils 466438 821733 142258 237 .187.226.260.486 .073.371 483 .210 19 -43 +2 +0 -3 +13 -3.1
202421 A2 teams 228203 38429 181115 62 .187.270.360.630 .172.341 498 .270 65 -9 +0 +0 -1 +6 -0.4
202522 A+2 teams 158150 13202 81130 33 .087.133.140.273 .053.314 725 .133 -40 -25 -1 +0 -1 +4 -2.2
▸ 2026 Season
202623 MLBLAA 231214 33615 131212 52 .154.210.262.471 .107.304 526 .209 18 -21 +0 +0 -1 +7 -1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%LAA 340313 50918 211673 73 .160.220.272.491 .112.304 496 .229 33 -26 +0 +0 -2 +10 -1.8
202825 MLB 25%LAA 390357 6211211 261834 83 .174.238.308.546 .134.305 477 .243 44 -25 +0 +0 -2 +11 -1.6
202926 MLB 43%LAA 421385 6812212 291934 93 .177.242.312.553 .135.306 467 .251 50 -24 +1 +0 -3 +12 -1.4
203027 MLB 58%LAA 430392 7012213 301955 93 .179.246.319.565 .140.306 457 .252 51 -24 +1 +0 -3 +12 -1.4
203128 MLB 68%LAA 433394 7012213 311975 83 .178.247.317.564 .140.305 457 .251 51 -24 +0 -1 -3 +12 -1.5
203229 MLB 77%LAA 427389 6912212 311954 83 .177.245.311.556 .134.304 467 .249 49 -25 +0 -1 -3 +12 -1.6
203330 MLB 94%LAA 421384 6711212 301944 72 .174.242.307.549 .133.302 467 .246 47 -25 +1 -2 -3 +12 -1.8
203431 MLBLAA 407371 6311111 291894 52 .170.238.294.531 .124.300 467 .242 44 -26 +0 -3 -2 +12 -2.0
203532 MLBLAA 389354 5910110 281834 31 .167.236.285.521 .119.298 477 .238 40 -26 +0 -4 -2 +11 -2.1
203633 MLBLAA 360328 53919 261723 20 .162.230.277.507 .116.296 487 .232 36 -26 +0 -4 -2 +10 -2.2
203734 MLBLAA 316288 46817 221533 10 .160.227.267.494 .108.294 487 .226 31 -25 +0 -5 -2 +9 -2.3
▸ Career Totals (MLE all levels + projections)
Career 63495812 97217132149 408301081 13549 .167.232.285.516 .117.306 476 .232 36 -461 +7 -20 -38 +180 -33.8
/ 162G 650595 9918315 423088 145 .166.231.282.513 .116.305 476 .232 36 -47 +1 -2 -4 +18 -3.5

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
201916 ROKDSL Angels 177154 36854 16596 60 .234.330.429.758 .195.348 339 .336 115 +3 +1 +5 0.9
202118 AInland Empire 66ers 8172 6010 7342 11 .083.185.111.296 .028.158 429 .154 -24 -11 -0 +2 -0.9
202118 ROKACL Angels 154127 35745 22504 33 .276.399.512.911 .236.411 3214 .398 163 +11 -1 +4 1.5
202219 AInland Empire 66ers 520475 1092458 3116011 218 .229.292.352.644 .122.326 316 .289 80 -12 +1 +15 0.4
202320 A+Tri-City Dust Devils 466429 1062354 231708 237 .247.298.352.650 .105.395 365 .289 80 -11 +2 +13 0.4
202421 AInland Empire 66ers 176146 40529 25603 51 .274.391.521.911 .247.392 3414 .396 161 +12 +1 +5 1.8
202421 ROKACL Angels 5247 9021 3202 11 .191.269.340.610 .149.308 386 .275 69 -2 -0 +1 -0.1
202522 AAASalt Lake Bees 1716 3100 1100 01 .188.235.250.485 .062.500 596 .223 29 -1 -0 +0 -0.1
202522 A+Tri-City Dust Devils 141130 25405 11730 32 .192.255.338.594 .146.385 528 .267 63 -6 -0 +4 -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
Alexander Ramirez (OGILVIE) 23 20→25 48→53 48→53 51 .148/.206/.249 .100.304 55 52% 6% 18 -1.5
DJ Gladney
2023 · AA
22 34→42 43→55 51→50 30 .164/.220/.268 .104.319 126 50% 6% 28 -3.2 .188/.233/.332 .144.299 189 42% 5% 50 -1.7 .194/.233/.350.156.285211039%4%52-1.1
Taylor Snyder
2018 · A
23 36→32 44→55 47→50 33 .188/.230/.306 .119.276 1212 36% 4% 42 -2.3 .190/.235/.310 .120.293 1212 38% 5% 45 -2.1 .185/.235/.340.155.265191237%5%52-1.1
Jefrey Ramos
2022 · AA
23 37 45 49→40 36 .193/.235/.310 .117.264 135 32% 4% 45 -2.1 .198/.256/.310 .112.277 118 31% 6% 54 -1.4 .147/.223/.199.051.1946026%6%10-0.8
Gerrion Grim
2017 · A
23 34 41→55 45→40 31 .170/.217/.262 .092.293 97 44% 5% 24 -3.5 .195/.232/.344 .149.278 215 37% 4% 53 -1.5 .185/.216/.361.176.22928234%3%47-1.3
Izzy Wilson
2021 · A
23 39→32 41→50 52→55 38 .182/.249/.280 .098.312 915 42% 8% 44 -2.1 .202/.266/.350 .148.304 1921 38% 8% 69 -0.4 .188/.253/.344.156.267222537%8%59-0.6
David Christensen
2011 · A
23 34→30 46→50 54→50 30 .171/.222/.296 .125.303 1417 46% 5% 37 -2.7 .194/.249/.319 .125.360 1313 46% 6% 53 -1.5 .188/.240/.335.147.36615650%5%51-0.6
Carlos Dominguez
2023 · A
23 38→27 48→45 47→50 27 .168/.240/.300 .132.358 1714 54% 6% 46 -2.0 .175/.248/.287 .112.355 1311 50% 6% 46 -2.0 .119/.206/.199.080.2449851%7%6-1.4
Moisés Gómez
2022 · AA
23 33→42 45→60 44→45 32 .165/.225/.286 .121.300 147 48% 6% 36 -2.7 .198/.252/.381 .183.307 268 42% 6% 72 -0.2 .191/.245/.379.188.27728641%6%65-0.5
Courtney Hawkins
2016 · AA
22 34→33 46→50 44→50 31 .176/.227/.303 .127.293 157 44% 5% 40 -2.4 .182/.226/.307 .125.288 143 40% 5% 40 -2.4 .171/.214/.316.146.24221239%5%36-1.4
Bubba Starling
2017 · AAA
24 36→46 43→45 50 34 .184/.231/.296 .112.282 1110 38% 5% 40 -2.4 .202/.246/.314 .112.283 1210 32% 5% 50 -1.7 .216/.256/.333.117.281141028%5%56-0.6
Jonathan Willems
2022 · AAA
23 40 40→45 49→55 31 .192/.238/.283 .091.316 812 40% 4% 39 -2.5 .185/.239/.282 .097.298 911 39% 5% 40 -2.4 .121/.174/.205.084.1859739%3%-11-1.5
Scott Krieger
2011 · AA
24 38 48→50 51→45 29 .187/.229/.321 .134.324 168 46% 5% 46 -2.0 .209/.256/.328 .119.352 129 42% 5% 59 -1.1 .212/.260/.326.114.35210940%4%57-0.5
Ariel Sandoval
2019 · A
23 36→35 45 46→50 33 .186/.234/.307 .121.295 149 41% 5% 44 -2.1 .191/.237/.305 .114.306 1211 39% 5% 44 -2.1 .173/.212/.282.109.268101338%4%24-2.2
Jeremy Eierman
2021 · A
24 34→26 42→55 50→45 32 .174/.221/.277 .103.286 109 42% 5% 30 -3.1 .182/.238/.330 .148.297 1910 44% 5% 53 -1.5 .158/.218/.314.156.244221044%5%37-1.0
Taylor Sparks
2017 · AA
24 34→38 44→45 49→50 32 .176/.227/.289 .113.286 1310 42% 5% 37 -2.7 .173/.229/.296 .123.290 146 43% 5% 40 -2.4 .148/.212/.279.131.25816347%6%25-2.0
Korey Holland
2023 · A
23 40 44→45 49→50 30 .187/.232/.299 .111.339 1110 46% 5% 40 -2.4 .192/.245/.309 .117.340 1113 44% 6% 49 -1.8 .176/.231/.285.109.303111643%6%34-1.5
Jordyn Adams
2023 · AA
23 40→41 38→45 57→60 36 .188/.243/.264 .076.303 623 38% 6% 36 -2.7 .199/.258/.305 .106.306 1030 36% 7% 53 -1.5 .194/.256/.310.116.294123236%7%52-1.3
Stefan Sabol
2015 · A
23 32→41 44→45 50 41 .170/.234/.285 .115.250 1112 36% 8% 39 -2.5 .192/.260/.290 .098.304 99 37% 8% 50 -1.7 .191/.263/.277.086.3088738%8%46-1.2
Kalian Sams
2010 · A
23 38→28 46→55 48→55 30 .175/.233/.304 .129.343 145 50% 6% 43 -2.2 .173/.225/.332 .159.293 2112 47% 5% 48 -1.9 .184/.235/.363.180.250262038%6%58-0.6
Kieron Pope
2010 · A
23 40→34 43→45 46→45 29 .193/.245/.300 .107.323 117 42% 4% 47 -1.9 .199/.245/.304 .105.313 105 38% 4% 48 -1.9 .183/.227/.281.098.2879138%3%33-1.2