Aneudi EscanioSS FCL Blue Jays
Age 21 S/R 5'9" / 150 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2031
wRC+†59
AVG/OBP/SLG.204 / .271 / .301
PA61
HR1
K%30
BB%8
MLB%0%
BAT: -2.8 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: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.7peak
2032

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+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.4$14M+$13M
2035Ext / FA-deal$2M+1.2$13M+$10M
2036Ext / FA-deal$3M+0.9$5M+$2M
2037Ext / FA-deal$3M+0.6$3M+$0.3M
Totals $11M $66M +$55M

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
202217 ROKDSL Blue Jays 7467 9100 4301 24 .134.194.149.344 .015.231 415 .164 -16 -10 -1 +0 +1 +2 -0.8
202318 ROKDSL Blue Jays 125112 21651 8283 22 .188.260.357.617 .170.238 226 .264 60 -6 -0 +0 +1 +4 -0.1
202419 ROKFCL Blue Jays 10894 6110 13530 34 .064.178.096.273 .032.143 4912 .142 -33 -16 -1 +0 +1 +3 -1.3
▸ 2026 Season
202621 MLBTOR 6155 11201 5181 10 .200.279.291.570 .091.288 308 .262 59 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%TOR 116105 22412 9331 20 .210.278.324.602 .114.290 288 .282 74 -3 +0 +0 +1 +3 0.2
202823 MLB 28%TOR 251225 50926 21693 41 .222.297.360.657 .138.291 278 .294 83 -5 +0 +0 +3 +7 0.6
202924 MLB 45%TOR 349312 711329 30944 61 .228.303.369.672 .141.292 279 .302 89 -4 +1 +0 +4 +10 1.0
203025 MLB 60%TOR 410366 8415311 371104 72 .230.307.377.684 .148.293 279 .306 93 -3 +1 +0 +4 +12 1.4
203126 MLB 77%TOR 448399 9216313 411205 82 .231.310.383.694 .153.294 279 .309 95 -3 +1 +0 +5 +13 1.6
203227 MLB 92%TOR 466415 9517313 431255 82 .229.309.378.687 .149.294 279 .309 95 -3 +1 +0 +5 +13 1.6
203328 MLBTOR 474422 9617313 441285 71 .227.308.374.682 .147.293 279 .308 94 -3 +1 -1 +5 +13 1.6
203429 MLBTOR 472420 9517313 441295 61 .226.307.374.681 .148.293 279 .306 92 -4 +1 -1 +5 +13 1.4
203530 MLBTOR 466414 9316313 441295 50 .225.307.372.679 .147.291 289 .303 90 -5 +1 -2 +5 +13 1.2
203631 MLBTOR 455405 9016312 431284 30 .222.303.365.669 .143.290 289 .299 87 -7 +1 -3 +5 +13 0.9
203732 MLBTOR 439391 8615311 411264 10 .220.300.358.659 .138.288 299 .294 83 -8 +0 -4 +5 +12 0.6
203833 MLBTOR 410365 7814210 381204 00 .214.295.345.640 .132.287 299 .289 79 -10 +0 -4 +4 +12 0.2
203934 MLBTOR 366326 681228 341103 00 .209.289.331.621 .123.285 309 .282 74 -11 +0 -5 +4 +10 -0.1
204035 MLBTOR 313278 581027 29983 00 .209.290.335.625 .126.283 319 .275 68 -11 +0 -6 +3 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 58035171 112520141143 528164860 6520 .218.297.355.653 .138.288 289 .293 82 -116 +5 -25 +62 +164 9.3
/ 162G 650579 12723516 591857 72 .219.299.359.658 .140.291 289 .293 82 -13 +1 -3 +7 +18 1.0

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
202217 ROKDSL Blue Jays 7464 12200 7211 24 .188.278.219.497 .031.267 289 .233 36 -5 -1 +2 -0.5
202318 ROKDSL Blue Jays 125107 28962 13203 22 .262.358.514.872 .252.302 1610 .373 144 +6 -0 +4 1.0
202419 ROKFCL Blue Jays 10885 10220 22370 34 .118.299.188.487 .071.204 3420 .246 47 -7 -1 +3 -0.5

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
Aneudi Escanio (OGILVIE) 21 .204/.271/.301 .097.288 11 30% 8% 59 -0.1
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
Zoilo Almonte
2010 · A
21 40→50 41→50 48→50 39 .200/.240/.294 .093.258 85 26% 4% 42 -2.3 .229/.273/.365 .136.318 1511 31% 5% 76 +0.0 .256/.295/.398.142.31418324%5%91+0.9
Jose Guadalupe Chavez
2006 · A
21 40→50 37→45 49→55 38 .193/.242/.265 .073.287 46 33% 6% 36 -2.7 .206/.261/.273 .067.265 59 22% 7% 46 -2.0 .270/.349/.375.105.3186816%10%105+1.3
Niko Goodrum
2012 · A
20 41→51 36→55 50→55 37 .192/.244/.259 .067.299 39 35% 6% 35 -2.8 .207/.272/.294 .087.306 512 31% 8% 56 -1.3 .231/.306/.406.174.310181630%9%97+1.0
Abraham Toro
2018 · A
21 39→49 43→50 51→45 45 .198/.258/.308 .109.244 116 24% 7% 54 -1.4 .218/.285/.365 .147.272 156 25% 7% 82 +0.5 .233/.307/.387.155.27716622%8%93+1.1
Tirso Ornelas
2021 · A
21 40→50 37→50 51→45 44 .192/.255/.266 .074.272 56 30% 8% 42 -2.3 .219/.280/.322 .103.296 86 27% 7% 67 -0.5 .245/.303/.373.128.30214723%7%87+0.8
Brooks Baldwin
2023 · A
22 41→51 36→55 50 39 .195/.246/.261 .066.291 48 33% 6% 36 -2.7 .229/.280/.365 .136.299 1616 28% 6% 79 +0.3 .243/.294/.398.155.302191726%6%89+0.7
Wenceel Pérez
2021 · A
21 44→49 38→50 49→55 45 .212/.260/.293 .081.262 512 21% 6% 50 -1.7 .226/.282/.345 .119.284 916 23% 7% 73 -0.1 .234/.298/.385.151.281141921%8%89+0.8
Rosell Herrera
2013 · A
20 40→50 37→45 48→55 42 .193/.244/.266 .073.258 59 26% 6% 37 -2.7 .230/.275/.318 .088.304 810 26% 6% 63 -0.8 .248/.303/.338.090.31552421%7%77+0.1
Jon Del Campo
2010 · A
22 42 37→45 49→55 40 .200/.239/.280 .080.266 45 26% 5% 37 -2.6 .217/.249/.311 .094.285 79 25% 4% 50 -1.7 .267/.300/.379.112.337121824%3%90+0.6
Blake Perkins
2017 · A
20 40→50 36→50 43→55 41 .191/.242/.257 .066.264 47 28% 6% 33 -2.9 .204/.267/.288 .084.286 716 29% 7% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Travis Swaggerty
2019 · A
21 39→45 41→45 50→55 40 .195/.252/.295 .100.280 98 32% 6% 48 -1.9 .208/.273/.306 .098.298 915 31% 8% 60 -1.0 .207/.275/.308.100.30381932%8%58-0.7
Michael A. Taylor
2012 · A
21 37→47 44→55 49→60 36 .192/.234/.309 .117.264 1112 32% 4% 44 -2.1 .200/.251/.314 .114.303 1021 35% 6% 53 -1.5 .236/.294/.379.143.303191428%7%86+0.6
Drew Stankiewicz
2015 · A
22 40→50 38→45 51→45 38 .193/.239/.268 .074.280 610 32% 5% 35 -2.8 .220/.274/.301 .081.284 47 22% 7% 59 -1.1 .214/.275/.315.101.2918328%7%60-0.4
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1
Anderson Feliz
2012 · A
20 37→47 39→40 49→50 39 .185/.236/.273 .088.270 611 33% 6% 35 -2.8 .200/.257/.290 .090.310 613 35% 7% 49 -1.8 .202/.263/.288.086.32461637%8%48-0.4
Danny Santana
2011 · A
20 42→52 39→60 55 37 .205/.240/.297 .092.277 615 28% 4% 43 -2.2 .226/.262/.322 .096.301 616 26% 4% 58 -1.2 .244/.288/.452.208.303272229%5%102+1.2
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
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