Ramiro AltagraciaOF FCL Yankees
Age 22 R/R 5'11" / 180 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 0.5 · 2030
wRC+†62
AVG/OBP/SLG.206 / .272 / .310
PA44
HR1
K%30
BB%7
MLB%0%
BAT: -1.9 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.3 runs (Positional adjustment)-0POSREP: +1.2 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
0.5peak
2030

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+0.4$2M+$1.0M
2033Ext / FA-deal$1.0M+0.2$1.0M+$0.0M
2034Ext / FA-deal$1.0M+0.1$0.5M-$0.5M
2035Ext / FA-deal$0.2M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $4M $-4M -$8M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202117 ROKDSL Yankees 2 159141 12100 151042 52 .085.184.092.276 .007.316 659 .152 -25 -23 +0 +0 -1 +5 -1.9
202218 ROKDSL NYY Yankees 198172 19401 20923 162 .110.215.151.367 .041.220 4610 .173 -9 -24 +2 +0 -1 +6 -1.8
202319 ROKDSL NYY Bombers 187172 33412 11743 83 .192.253.262.514 .070.320 406 .229 33 -14 +0 +0 -1 +5 -1.0
202420 ROKFCL Yankees 4643 11101 1141 01 .256.289.349.638 .093.345 302 .249 49 -3 -0 +0 -0 +1 -0.2
▸ 2026 Season
202622 MLBNYY 4441 8101 3130 10 .195.250.293.543 .098.287 307 .266 62 -2 +0 +0 -0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%NYY 10696 21412 8311 20 .219.286.344.629 .125.289 298 .282 74 -3 +0 +0 -1 +3 -0.0
202824 MLB 26%NYY 236213 47816 19662 41 .221.291.352.643 .131.291 288 .292 82 -5 +0 +0 -1 +7 0.1
202925 MLB 43%NYY 322289 651129 27893 51 .225.298.370.668 .145.292 288 .298 86 -5 +1 +0 -2 +9 0.3
203026 MLB 58%NYY 379340 7613210 321044 61 .224.298.362.660 .138.293 278 .302 89 -5 +1 +0 -2 +11 0.5
203127 MLB 76%NYY 410367 8315211 361134 61 .226.302.368.670 .142.293 289 .302 89 -5 +1 +0 -2 +12 0.5
203228 MLB 84%NYY 425381 8715312 371184 61 .228.303.378.681 .150.292 289 .301 88 -6 +1 -1 -3 +12 0.4
203329 MLB 90%NYY 427382 8515211 381204 51 .223.300.359.658 .136.291 289 .299 87 -6 +1 -1 -3 +12 0.2
203430 MLBNYY 425381 8415211 371214 40 .220.296.357.653 .136.290 289 .295 84 -8 +1 -2 -3 +12 0.1
203531 MLBNYY 416372 8114211 371204 20 .218.295.355.650 .137.288 299 .292 81 -9 +0 -3 -2 +12 -0.2
203632 MLBNYY 401359 7713210 351184 00 .214.291.345.637 .131.287 299 .287 78 -10 +0 -4 -2 +11 -0.5
203733 MLBNYY 373333 711229 331124 00 .213.292.342.634 .129.285 309 .282 74 -11 +0 -4 -2 +11 -0.7
203834 MLBNYY 330295 611027 291023 00 .207.284.325.610 .119.284 319 .275 69 -12 +0 -5 -2 +9 -0.9
▸ Career Totals (MLE all levels + projections)
Career 48844377 92115624114 418151150 7014 .210.287.335.622 .125.290 319 .281 73 -150 +8 -20 -29 +138 -5.3
/ 162G 650583 12221315 562017 92 .209.287.333.620 .123.288 319 .281 73 -20 +1 -3 -4 +18 -0.7

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
202117 ROKDSL Yankees 2 159131 26311 25682 52 .198.335.260.595 .061.397 4316 .286 77 -4 +0 +5 0.1
202218 ROKDSL NYY Yankees 198160 28801 32623 162 .175.323.244.567 .069.270 3116 .273 67 -7 +2 +6 0.1
202319 ROKDSL NYY Bombers 187165 45624 18513 83 .273.355.406.761 .133.369 2710 .342 120 +4 +0 +5 1.0
202420 ROKFCL Yankees 4642 14101 291 01 .333.378.429.806 .095.394 204 .356 130 +2 -0 +1 0.3

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
Ramiro Altagracia (OGILVIE) 22 .206/.272/.310 .105.287 11 30% 7% 62 -0.1
Felix Reyes
2023 · A
22 37→47 43→50 46→45 35 .188/.235/.293 .105.267 118 34% 4% 40 -2.4 .221/.258/.346 .125.263 157 22% 4% 64 -0.8 .241/.274/.386.144.27517819%4%81+0.2
Jabari Henry
2013 · A
22 42→41 46→55 49→45 44 .212/.273/.344 .133.277 137 28% 7% 70 -0.3 .209/.287/.363 .154.271 176 28% 9% 82 +0.5 .193/.280/.360.167.25120630%10%75-0.0
Michael A. Taylor
2013 · A
22 38→48 41→55 48→60 36 .188/.234/.290 .102.278 814 34% 5% 39 -2.5 .212/.267/.337 .125.319 1225 35% 6% 66 -0.6 .236/.294/.379.143.303191428%7%86+0.6
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Daniel Paolini
2012 · A
22 44→50 41→50 50→40 42 .208/.275/.314 .106.293 76 30% 7% 63 -0.8 .229/.297/.374 .145.272 154 21% 8% 89 +0.9 .226/.299/.383.157.25917320%8%88+0.7
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Rainel Rosario
2011 · A
22 42→51 45→50 46→50 44 .207/.283/.342 .135.296 119 32% 8% 74 -0.1 .210/.267/.310 .100.310 89 33% 7% 59 -1.1 .253/.308/.402.150.28519618%7%96+1.1
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Adam Abraham
2009 · A
22 39→47 44→50 49→40 43 .199/.261/.312 .112.263 115 28% 7% 57 -1.2 .215/.270/.328 .113.270 104 23% 6% 65 -0.7 .222/.283/.344.122.28112224%7%72-0.1
Christopher Morel
2021 · A
22 43→46 43→60 45→50 37 .214/.254/.324 .110.290 109 29% 4% 56 -1.3 .215/.273/.390 .175.301 2214 35% 7% 82 +0.5 .224/.302/.431.208.280281030%9%102+1.8
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Narciso Crook
2017 · A
22 38→43 42→55 52→50 34 .194/.230/.300 .106.280 1011 34% 4% 40 -2.4 .207/.256/.324 .117.303 1110 34% 5% 57 -1.2 .199/.278/.357.158.302191538%7%73-0.1
Jordy Lara
2013 · A
22 35→45 45→55 45→40 39 .184/.241/.305 .121.252 133 32% 6% 47 -1.9 .228/.273/.372 .144.286 152 25% 5% 77 +0.1 .238/.285/.390.152.29415124%5%85+0.6
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Koby Clemens
2009 · A
22 41→51 43→55 43→45 43 .205/.268/.319 .114.278 114 29% 7% 62 -0.9 .221/.289/.389 .168.303 195 32% 8% 89 +1.0 .210/.283/.393.182.28522533%8%86+0.7
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Curtis Terry
2019 · A
22 44→40 42→55 49→30 39 .215/.265/.326 .111.295 95 29% 5% 62 -0.9 .217/.274/.375 .158.284 183 30% 5% 79 +0.3 .211/.274/.378.167.25820127%6%77+0.1
Christian Villanueva
2013 · A
22 44→45 44→55 48→50 39 .218/.271/.331 .113.279 1113 26% 4% 66 -0.6 .211/.259/.351 .140.267 156 27% 5% 66 -0.6 .222/.280/.396.173.25523323%6%86+0.6