Jarold MontealtoSS DSL Blue Jays
Age 20 S/R 5'9" / 170 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 2.2 · 2033
wRC+†56
AVG/OBP/SLG.202 / .269 / .295
PA66
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: +1.9 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.2peak
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
2032Pre-Arb$0.9M+2.1$20M+$19M
2033Pre-Arb$1.0M+2.2$22M+$21M
2034Pre-Arb$1.0M+2.1$21M+$20M
2035Arb-1$4M+1.9$20M+$16M
2036Arb-2$6M+1.6$17M+$11M
2037Arb-3$7M+1.4$16M+$9M
Totals $19M $116M +$96M

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 Blue Jays 8272 14121 8312 10 .194.293.306.598 .111.325 3810 .251 50 -5 +0 +0 +1 +2 -0.1
202418 ROKDSL Blue Jays 124108 15100 11501 11 .139.225.148.373 .009.242 409 .181 -3 -14 -0 +0 +1 +4 -1.0
▸ 2026 Season
202620 MLBTOR 6660 12201 5201 10 .200.273.283.556 .083.289 308 .259 56 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%TOR 120108 23412 10351 20 .213.286.324.610 .111.292 298 .282 74 -3 +0 +0 +1 +3 0.2
202822 MLB 28%TOR 265237 54927 23743 51 .228.304.371.675 .143.293 289 .297 85 -4 +1 +0 +3 +8 0.7
202923 MLB 48%TOR 369329 7513210 331004 72 .228.306.371.677 .143.294 279 .306 92 -3 +1 +0 +4 +10 1.2
203024 MLB 62%TOR 440391 9116313 411175 92 .233.314.389.702 .156.294 279 .311 96 -2 +1 +0 +5 +12 1.7
203125 MLB 80%TOR 482428 9917314 461285 102 .231.313.383.696 .152.295 2710 .314 99 -1 +1 +0 +5 +14 2.0
203226 MLB 94%TOR 507447 10418315 491346 102 .233.317.387.704 .154.296 2610 .316 100 +0 +1 +0 +5 +14 2.1
203327 MLBTOR 518456 10718316 511376 102 .235.320.393.712 .158.296 2610 .316 100 +0 +1 +0 +6 +15 2.2
203428 MLBTOR 521459 10618315 511396 91 .231.316.381.697 .150.295 2710 .315 99 -0 +1 -1 +6 +15 2.1
203529 MLBTOR 516454 10518315 511396 81 .231.317.383.700 .152.294 2710 .313 98 -1 +1 -1 +6 +15 1.9
203630 MLBTOR 508448 10318315 501395 71 .230.314.384.698 .154.293 2710 .310 95 -3 +1 -2 +5 +14 1.6
203731 MLBTOR 496439 9917314 491385 50 .226.310.374.684 .148.292 2810 .306 92 -4 +1 -3 +5 +14 1.4
203832 MLBTOR 479424 9416313 471365 20 .222.307.366.672 .144.290 2810 .301 89 -6 +0 -4 +5 +14 1.0
203933 MLBTOR 450398 8614212 441305 10 .216.302.352.654 .136.288 2910 .296 85 -8 +0 -4 +5 +13 0.6
204034 MLBTOR 405358 7613210 401214 00 .212.299.344.642 .131.287 3010 .289 80 -9 +0 -5 +4 +11 0.2
204135 MLBTOR 350310 641028 341083 00 .206.291.329.620 .123.284 3110 .282 74 -10 +0 -6 +4 +10 -0.2
204236 MLBTOR 292259 52826 28933 00 .201.286.317.603 .116.281 3210 .273 67 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 69906185 137923142187 671196976 8815 .223.307.365.671 .142.293 2810 .301 89 -89 +12 -31 +75 +198 16.7
/ 162G 650575 12721417 621837 81 .221.304.360.664 .139.290 2810 .301 89 -8 +1 -3 +7 +18 1.6

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 Blue Jays 8268 19221 12222 10 .279.402.412.814 .132.400 2715 .371 142 +4 +0 +2 0.7
202418 ROKDSL Blue Jays 124101 18100 18331 11 .178.308.188.496 .010.250 2715 .242 43 -8 -0 +4 -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
Jarold Montealto (OGILVIE) 20 .202/.269/.295 .093.289 11 31% 7% 56 -0.1
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
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
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
Juan Brito
2022 · A
20 45→48 42→50 49→45 46 .222/.285/.324 .103.281 1012 24% 7% 70 -0.3 .230/.313/.368 .138.279 139 21% 10% 94 +1.3 .226/.311/.371.145.26615920%10%91+1.0
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
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
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
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
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Anthony Santander
2015 · A
20 39→49 40→65 47→45 40 .192/.246/.287 .095.263 88 29% 6% 44 -2.1 .220/.272/.355 .135.289 156 28% 5% 72 -0.2 .242/.317/.473.231.25731220%9%120+3.4
Willi Castro
2016 · A
19 42→52 38→50 50→55 37 .203/.246/.286 .083.279 610 29% 4% 43 -2.2 .226/.255/.320 .094.288 711 23% 3% 55 -1.4 .240/.326/.383.143.305132324%8%98+1.3
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