Jesus Premoli3B DSL White Sox
Age 19 L/R 6'4" / 225 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2034
wRC+†57
AVG/OBP/SLG.203 / .269 / .300
PA77
HR1
K%31
BB%7
MLB%0%
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.7peak
2033

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+2.5$24M+$23M
2033Ext / FA-deal$1.0M+2.7$27M+$26M
2034Ext / FA-deal$1.0M+2.8$28M+$27M
2035Ext / FA-deal$5M+2.6$27M+$22M
2036Ext / FA-deal$8M+2.4$26M+$18M
2037Ext / FA-deal$10M+2.1$23M+$13M
Totals $27M $155M +$128M

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
202417 ROKDSL White Sox 165155 23401 6654 10 .148.200.194.394 .045.247 394 .170 -12 -21 +0 +0 +1 +5 -1.6
▸ 2026 Season
202619 MLBCWS 7770 15311 6241 10 .214.286.329.614 .114.289 318 .260 57 -4 +0 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%CWS 125113 25413 10361 21 .221.290.354.644 .133.297 298 .288 79 -3 +0 +0 +0 +4 0.1
202821 MLB 28%CWS 276246 571027 25763 61 .232.310.374.684 .142.298 289 .305 92 -3 +1 +0 +1 +8 0.7
202922 MLB 48%CWS 390346 8114311 361045 92 .234.315.387.703 .153.299 279 .314 99 -1 +1 +0 +1 +11 1.3
203023 MLB 65%CWS 468414 9817314 451226 112 .237.320.394.714 .157.299 2610 .321 103 +2 +1 +0 +2 +13 1.9
203124 MLB 82%CWS 519457 10919316 511346 132 .239.323.398.721 .160.299 2610 .325 107 +4 +2 +0 +2 +15 2.3
203225 MLBCWS 551483 11720418 561417 133 .242.330.412.742 .170.300 2610 .328 109 +6 +1 +0 +2 +16 2.5
203326 MLBCWS 568497 12020419 591457 143 .241.330.412.743 .171.300 2610 .329 110 +7 +2 +0 +2 +16 2.7
203427 MLBCWS 575503 12221419 601487 142 .243.332.414.745 .171.300 2610 .330 110 +7 +2 +0 +2 +16 2.8
203528 MLBCWS 575503 12120419 601497 132 .241.330.410.739 .169.300 2610 .328 110 +6 +2 -1 +2 +16 2.6
203629 MLBCWS 567495 11720318 601487 111 .236.327.398.725 .162.299 2611 .326 108 +5 +2 -1 +2 +16 2.4
203730 MLBCWS 559488 11519318 591487 101 .236.327.398.724 .162.298 2611 .323 106 +3 +2 -2 +2 +16 2.1
203831 MLBCWS 546476 11119317 581477 70 .233.325.393.718 .160.296 2711 .319 103 +2 +1 -3 +2 +15 1.8
203932 MLBCWS 528461 10618316 561456 50 .230.321.386.707 .156.295 2711 .315 99 -1 +1 -4 +2 +15 1.4
204033 MLBCWS 499438 9816314 521406 30 .224.315.370.684 .146.293 2810 .309 95 -3 +1 -4 +2 +14 1.0
204134 MLBCWS 452397 8614212 471315 10 .217.307.353.660 .136.291 2910 .303 90 -5 +0 -5 +2 +13 0.5
204235 MLBCWS 397349 7412210 411194 00 .212.302.344.646 .132.289 3010 .295 84 -7 +0 -6 +1 +11 -0.0
204336 MLBCWS 337296 621028 341054 00 .209.299.338.637 .128.286 3110 .286 77 -9 +0 -6 +1 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 81747187 165728050241 8212227100 13420 .231.318.384.702 .153.297 2710 .314 98 -14 +19 -31 +29 +232 23.8
/ 162G 650572 13122419 651778 112 .229.316.381.697 .152.296 2710 .314 98 -1 +1 -3 +2 +18 1.9

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
202417 ROKDSL White Sox 165151 33602 10434 10 .219.285.298.583 .079.292 266 .269 64 -7 +0 +5 -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
Jesus Premoli (OGILVIE) 19 .203/.269/.300 .097.289 11 31% 7% 57 -0.2
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
Nomar Mazara
2014 · A
19 37→47 43→55 44→40 38 .186/.243/.298 .111.278 114 36% 6% 46 -2.0 .220/.278/.352 .132.287 153 28% 7% 75 -0.0 .249/.312/.421.172.29021322%8%99+1.5
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Jazz Chisholm Jr.
2017 · A
19 42→51 43→60 49→60 34 .206/.248/.311 .105.320 1111 38% 5% 50 -1.7 .204/.255/.341 .137.318 1611 39% 6% 62 -0.9 .248/.322/.446.198.304273627%9%113+2.3
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Josh Lowe
2017 · A
19 43→53 42→55 46→60 44 .201/.278/.303 .102.324 95 38% 10% 62 -0.9 .202/.260/.303 .101.318 914 37% 7% 53 -1.5 .255/.314/.435.180.350203131%8%108+1.9
Rowdy Tellez
2014 · A
19 41→50 39→60 51→45 43 .199/.255/.290 .091.270 65 28% 6% 48 -1.9 .229/.281/.344 .115.286 124 23% 6% 73 -0.1 .249/.317/.464.215.28629124%8%114+1.6
Tirso Ornelas
2019 · A
19 43→53 41→50 50→45 46 .210/.278/.308 .098.289 85 29% 8% 63 -0.9 .192/.256/.270 .078.279 55 30% 8% 43 -2.2 .245/.303/.373.128.30214723%7%87+0.8
Bo Naylor
2019 · A
19 44→43 39→55 52→50 46 .211/.278/.300 .089.298 69 30% 8% 60 -1.0 .194/.251/.313 .119.273 117 31% 7% 53 -1.5 .216/.308/.399.183.269221228%11%97+1.2
Oscar Taveras
2011 · A
19 44→54 42→55 49→45 42 .216/.260/.323 .108.269 89 23% 5% 58 -1.2 .270/.309/.419 .149.313 137 18% 5% 104 +2.0 .293/.330/.463.170.32616715%4%124+2.0
Angel Ortiz
2022 · A
19 42→40 41→50 46→40 44 .207/.262/.297 .091.272 99 27% 7% 53 -1.5 .205/.256/.301 .096.278 87 27% 6% 51 -1.7 .210/.263/.325.115.27610327%6%59-0.6
Max Kepler
2013 · A
20 44→54 42→60 53→50 44 .216/.275/.328 .112.278 96 25% 6% 67 -0.5 .222/.279/.348 .126.273 107 22% 7% 73 -0.1 .234/.319/.433.200.24824417%10%108+2.2
Austin Meadows
2014 · A
19 45→55 43→65 49→55 43 .214/.282/.336 .122.308 106 32% 8% 72 -0.2 .242/.292/.362 .120.310 910 24% 6% 82 +0.5 .255/.336/.495.240.28930823%10%129+2.7
Justin Crawford
2023 · A
19 46→56 37→45 51→60 41 .213/.274/.288 .076.314 517 32% 7% 56 -1.3 .272/.317/.374 .102.360 633 25% 6% 95 +1.4 .294/.339/.402.108.38074123%6%107+1.7
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
Mickey Moniak
2017 · A
19 45→54 37→60 51→50 39 .212/.260/.295 .083.290 411 27% 5% 51 -1.7 .207/.242/.300 .093.288 58 29% 4% 44 -2.1 .246/.285/.451.204.307261128%4%101+1.4
Wilyer Abreu
2018 · A
19 46→48 36→60 47→50 41 .213/.276/.278 .065.313 310 31% 7% 54 -1.4 .197/.257/.262 .065.283 210 29% 7% 41 -2.3 .240/.318/.444.204.286271126%10%110+1.8
Jesús Sánchez
2017 · A
19 48→53 43→60 50 39 .235/.267/.357 .122.293 106 23% 4% 69 -0.4 .243/.276/.369 .126.311 135 25% 4% 77 +0.1 .247/.314/.450.203.30625427%8%110+1.8