Ismael Del RosarioOF DSL Rays
Age 19 L/R 6'1" / 185 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2033
wRC+†57
AVG/OBP/SLG.199 / .267 / .299
PA57
HR1
K%32
BB%7
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: -0.3 runs (Positional adjustment)-0POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.1peak
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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.1$21M+$20M
2035Ext / FA-deal$4M+2.0$21M+$17M
2036Ext / FA-deal$6M+1.8$19M+$14M
2037Ext / FA-deal$7M+1.5$17M+$9M
Totals $20M $117M +$97M

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 Tampa Bay 144125 11110 15831 83 .088.191.112.303 .024.256 5810 .150 -27 -21 +0 +0 -1 +4 -1.7
202518 ROKDSL Rays 5247 5100 2242 11 .106.176.128.304 .021.217 464 .142 -33 -8 -0 +0 -0 +1 -0.7
▸ 2026 Season
202619 MLBTB 5752 10201 4181 10 .192.263.288.552 .096.289 327 .259 57 -3 +0 +0 -0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TB 147132 28513 12442 31 .212.288.333.621 .121.298 308 .287 78 -4 +0 +0 -1 +4 -0.0
202821 MLB 28%TB 291258 591028 27844 61 .229.311.376.687 .147.299 299 .304 90 -3 +1 +0 -2 +8 0.4
202922 MLB 48%TB 398352 8214312 381105 102 .233.316.392.709 .159.299 2810 .314 98 -1 +1 +0 -2 +11 0.9
203023 MLB 65%TB 471416 9817315 461286 122 .236.321.399.720 .163.299 2710 .320 103 +1 +2 +0 -3 +13 1.4
203124 MLB 82%TB 518455 10718317 521396 133 .235.322.400.722 .165.300 2710 .324 106 +3 +1 +0 -3 +15 1.7
203225 MLBTB 546478 11319318 561467 143 .236.325.402.727 .165.300 2710 .327 108 +5 +2 +0 -3 +15 1.9
203326 MLBTB 562491 11720319 591507 143 .238.329.407.736 .169.301 2710 .329 110 +6 +2 +0 -3 +16 2.1
203427 MLBTB 567495 11720319 601527 143 .236.327.404.731 .168.301 2711 .329 110 +6 +2 +0 -3 +16 2.1
203528 MLBTB 566493 11720319 611537 132 .237.330.406.735 .168.301 2711 .327 109 +6 +2 -1 -3 +16 2.0
203629 MLBTB 558486 11419318 601527 122 .235.327.397.724 .163.300 2711 .325 107 +5 +2 -1 -3 +16 1.8
203730 MLBTB 549478 11219318 591517 101 .234.327.400.727 .165.298 2811 .322 105 +3 +2 -2 -3 +16 1.5
203831 MLBTB 536467 10818317 581506 70 .231.324.392.716 .161.297 2811 .318 102 +1 +1 -3 -3 +15 1.2
203932 MLBTB 518451 10317316 561486 50 .228.322.386.707 .157.295 2911 .314 98 -1 +1 -4 -3 +15 0.8
204033 MLBTB 489428 9516314 521436 30 .222.315.371.686 .150.294 2911 .308 94 -3 +1 -4 -3 +14 0.4
204134 MLBTB 442387 8414212 471335 10 .217.310.357.666 .140.292 3011 .302 89 -5 +0 -5 -3 +13 -0.0
204235 MLBTB 388340 7212210 411204 00 .212.304.347.651 .135.290 3111 .294 83 -7 +0 -6 -2 +11 -0.4
▸ Career Totals (MLE all levels + projections)
Career 77996831 155226244236 805222896 14727 .227.317.382.699 .155.299 2910 .313 98 -20 +19 -25 -47 +221 15.1
/ 162G 650569 13022420 671868 122 .228.318.387.704 .158.301 2910 .313 98 -2 +2 -2 -4 +18 1.3

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 Tampa Bay 144116 17210 24551 83 .147.298.181.479 .034.274 3817 .238 41 -10 +0 +4 -0.5
202518 ROKDSL Rays 5245 7200 4172 11 .156.255.200.455 .044.250 338 .218 25 -4 -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
Ismael Del Rosario (OGILVIE) 19 .199/.267/.299 .099.289 11 32% 7% 57 -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
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
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
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
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
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
Estevan Florial
2017 · A
19 41→51 44→55 52→60 39 .200/.260/.315 .115.307 1111 37% 7% 57 -1.2 .214/.270/.332 .118.357 1113 40% 7% 66 -0.6 .215/.284/.387.172.311202936%8%83+0.5
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
Nick Pratto
2018 · A
19 39→43 40→55 49→50 39 .190/.250/.289 .099.293 710 36% 7% 46 -2.0 .186/.234/.291 .105.304 1012 40% 6% 40 -2.4 .196/.288/.385.190.28124737%10%87+0.7
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
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
Heliot Ramos
2019 · A
19 41→51 43→55 47→50 33 .202/.246/.317 .115.301 118 36% 4% 52 -1.6 .215/.268/.348 .133.317 159 35% 6% 69 -0.4 .256/.322/.432.177.31922826%7%112+2.4
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
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
Riley Greene
2021 · A
20 44→54 44→60 53→50 39 .215/.271/.330 .115.305 119 32% 6% 66 -0.6 .252/.315/.404 .152.357 1510 31% 8% 103 +1.9 .263/.332/.466.203.33825528%9%124+3.1
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
Nick Weglarz
2007 · A
19 42→47 39→50 47→45 39 .199/.254/.284 .085.305 66 35% 6% 46 -2.0 .219/.296/.368 .149.290 174 29% 9% 87 +0.8 .225/.314/.383.158.27517524%10%97+1.0
Will Benson
2018 · A
20 41→51 43→55 52→55 36 .187/.255/.300 .112.333 1011 44% 7% 52 -1.6 .171/.257/.309 .138.261 1711 39% 10% 56 -1.3 .221/.322/.401.180.313182632%12%102+1.4
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