Daniel MontesinoOF ACL Padres
Age 22 L/L 6'0" / 180 lbs ROK HR +13%BB +8% Svc 0.0 · Ctrl thru 2037 peak 0.5 · 2030
wRC+†61
AVG/OBP/SLG.206 / .273 / .307
PA39
HR1
K%30
BB%7
MLB%0%
BAT: -1.7 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.2 runs (Positional adjustment)-0POSREP: +1.1 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+0.3$1M+$0.5M
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 Padres 243208 461022 25795 84 .221.319.317.637 .096.333 3310 .286 77 -6 +0 +0 -1 +7 -0.1
202319 ROKACL Padres 165150 27610 10613 51 .180.245.233.479 .053.300 376 .209 18 -15 +1 +0 -1 +5 -1.1
202420 ROKACL Padres 2519 3200 361 20 .158.304.263.568 .105.200 2412 .240 42 -2 +0 +0 -0 +1 -0.1
▸ 2026 Season
202622 MLBSD 3936 7101 3120 10 .194.256.306.562 .111.288 318 .265 61 -2 +0 +0 -0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SD 10696 21412 8301 20 .219.286.344.629 .125.290 288 .281 74 -3 +0 +0 -1 +3 -0.0
202824 MLB 26%SD 235212 48826 19662 41 .226.296.368.664 .142.291 288 .292 82 -5 +0 +0 -1 +7 0.1
202925 MLB 43%SD 321288 641128 27883 51 .222.296.358.653 .135.293 278 .299 87 -5 +1 +0 -2 +9 0.3
203026 MLB 58%SD 379339 7714210 331044 61 .227.303.369.672 .142.294 279 .302 89 -5 +1 +0 -2 +11 0.5
203127 MLB 76%SD 409366 8415311 361124 61 .230.305.377.682 .148.294 279 .302 90 -5 +1 +0 -2 +12 0.5
203228 MLB 84%SD 424380 8615311 371174 61 .226.302.368.670 .142.293 289 .301 89 -5 +1 -1 -3 +12 0.4
203329 MLB 90%SD 427382 8615311 381194 51 .225.302.366.668 .141.292 289 .299 87 -6 +1 -1 -3 +12 0.3
203430 MLBSD 424379 8415211 381204 40 .222.299.359.658 .137.291 289 .296 85 -7 +1 -2 -3 +12 0.1
203531 MLBSD 415371 8014210 371194 20 .216.294.345.639 .129.289 299 .292 82 -9 +0 -3 -2 +12 -0.2
203632 MLBSD 400358 7713210 351174 00 .215.292.346.639 .131.288 299 .288 78 -10 +0 -4 -2 +11 -0.5
203733 MLBSD 372333 701228 331113 00 .210.287.330.618 .120.286 309 .282 74 -11 +0 -4 -2 +11 -0.7
203834 MLBSD 329294 611027 291013 00 .207.285.327.612 .119.285 319 .276 69 -11 +0 -5 -2 +9 -0.9
▸ Career Totals (MLE all levels + projections)
Career 47134211 92116529108 411136249 5611 .219.296.349.644 .130.293 299 .290 80 -107 +7 -20 -28 +134 -1.5
/ 162G 650581 12723415 571887 82 .219.297.349.646 .131.293 299 .290 80 -15 +1 -3 -4 +18 -0.2

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 Padres 243190 601344 43535 84 .316.454.489.943 .174.406 2218 .413 174 +20 +0 +7 2.8
202319 ROKACL Padres 165145 36910 15413 51 .248.331.324.655 .076.343 259 .299 87 -2 +1 +5 0.3
202420 ROKACL Padres 2517 3200 541 20 .176.391.294.685 .118.200 1620 .308 94 -0 +0 +1 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
Daniel Montesino (OGILVIE) 22 .206/.273/.307 .101.288 11 30% 7% 61 -0.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
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
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
Nick Maton
2019 · A
22 41 43→50 47→45 40 .205/.254/.316 .111.280 106 30% 6% 54 -1.4 .206/.270/.307 .101.282 98 28% 7% 59 -1.1 .214/.305/.368.154.26418425%10%88+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
Tirso Ornelas
2022 · A
22 40→50 38→50 48→45 44 .191/.257/.275 .084.274 55 31% 8% 46 -2.0 .236/.295/.354 .118.303 116 25% 7% 82 +0.5 .245/.303/.373.128.30214723%7%87+0.8
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
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
Mike Daniel
2007 · A
22 39→49 42→45 48→50 42 .193/.256/.293 .100.274 1011 32% 7% 50 -1.8 .232/.283/.346 .114.314 1114 28% 6% 74 -0.1 .239/.288/.351.112.317111527%6%75+0.0
Mike Papi
2015 · A
22 39→47 41→45 50→45 50 .193/.270/.290 .097.251 97 26% 9% 56 -1.3 .198/.278/.306 .108.280 96 30% 9% 63 -0.8 .211/.294/.337.126.28014428%10%76+0.1
Luis Liberato
2018 · A
22 43→51 44→50 50 40 .209/.260/.333 .124.300 107 33% 6% 61 -1.0 .216/.262/.350 .134.285 157 29% 6% 67 -0.5 .210/.278/.360.150.29016932%8%75+0.0
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Roman Pena
2009 · A
22 42→52 43→50 45 38 .208/.259/.316 .108.298 106 33% 6% 57 -1.2 .196/.258/.303 .107.276 108 31% 7% 53 -1.5 .233/.303/.392.159.31216729%9%92+0.8
Juan Silva
2013 · A
22 45→47 42→45 48→55 46 .215/.287/.318 .103.305 912 30% 9% 69 -0.4 .227/.304/.329 .102.305 823 26% 10% 79 +0.3 .224/.305/.319.095.29372924%10%74-0.1
Conner Capel
2019 · A
22 41→45 44→45 47→55 44 .208/.266/.330 .122.270 1111 27% 7% 63 -0.8 .210/.262/.328 .118.279 1211 28% 6% 61 -1.0 .216/.288/.339.123.271131924%8%71-0.2
Joe Mahoney
2009 · A
22 38→48 42→50 49→50 35 .192/.232/.295 .103.271 95 32% 4% 40 -2.4 .227/.263/.349 .122.307 1212 29% 4% 66 -0.6 .249/.287/.387.137.31514825%4%86+0.6