Jesus RodriguezC Sacramento River Cats
Age 24 R/R 5'10" / 201 lbs AAA BB -3% Svc 0.0 · Ctrl thru 2033 peak 2.2 · 2029
wRC+†94
AVG/OBP/SLG.252 / .316 / .356
PA320
HR5
SB7
K%19
BB%7
MLB%30%
BAT: -2.3 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.1 runs (Defensive runs vs avg)+0FLDPOS: +5.7 runs (Positional adjustment)+6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +1.30+1.3WAR
Scouting · nowfuture
HIT
5555
PWR
4040
SPD
4040
FLD
4545
EYE
4747
trajectory · 10 yrs
2.2peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+2.1$18M+$17M
2029Arb-1$0.8M+2.2$19M+$18M
2030Arb-2$0.9M+2.1$19M+$18M
2031Arb-3$4M+2.0$19M+$15M
2032Ext / FA-deal$6M+1.7$16M+$11M
2033Ext / FA-deal$7M+1.4$14M+$7M
Totals $19M $105M +$86M

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
201917 ROKDSL Yankees 7263 16322 6140 32 .254.319.460.779 .206.280 198 .318 102 +0 -0 +0 +1 +2 0.3
202119 ROKDSL Yankees 1 151134 291100 14351 83 .216.295.299.594 .082.287 239 .269 64 -6 +0 +0 +3 +4 0.1
202220 ROKFCL Yankees 152138 37823 9215 83 .268.336.420.756 .152.298 146 .323 105 +1 +0 +0 +3 +4 0.9
202321 A3 teams 535479 1252149 421158 254 .261.331.378.709 .117.321 218 .310 95 -3 +3 +0 +10 +15 2.6
202422 A+2 teams 333310 741148 18663 94 .239.287.377.664 .139.277 205 .291 81 -7 +0 +0 +6 +9 0.8
202523 AAA3 teams 613552 1461936 491087 249 .264.332.342.675 .078.316 188 .301 88 -8 +1 +0 +11 +17 2.2
▸ 2026 Season (actual · ROS · total)
202624 AAASacramento River Cats 8072 20202 690 10 .278.333.389.722 .111.286 118 .310 95 -0 +0 +0 +1 +2 0.4
ROS24 MLBSF 240218 56814 18422 62 .257.319.358.677 .101.299 188 .307 93 -2 +0 +0 +4 +7 1.0
TOT24 MLBSF 320290 761016 24512 72 .262.323.366.688 .103.297 168 .308 94 -2 +1 +0 +6 +9 1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 39%SF 370334 881327 30623 93 .263.330.377.707 .114.302 178 .318 101 +1 +1 +0 +7 +10 1.9
202826 MLB 47%SF 407366 951428 34704 93 .260.329.374.704 .115.302 178 .320 103 +1 +1 +0 +7 +12 2.1
202927 MLB 53%SF 420378 991529 35744 93 .262.331.384.715 .122.301 188 .320 103 +2 +1 +0 +8 +12 2.2
203028 MLB 57%SF 425382 991529 36764 83 .259.329.380.709 .120.301 188 .319 102 +1 +0 -1 +8 +12 2.1
203129 MLB 61%SF 420377 981529 36764 72 .260.331.382.713 .122.301 189 .317 101 +0 +1 -1 +8 +12 2.0
203230 MLB 64%SF 414372 951428 35764 62 .255.326.368.694 .113.300 188 .314 99 -1 +0 -2 +7 +12 1.7
203331 MLB 66%SF 389350 881327 33733 41 .251.321.360.681 .109.299 198 .311 96 -2 +0 -3 +7 +11 1.4
203432 MLB 68%SF 361324 821227 31703 21 .253.324.367.691 .114.298 199 .306 93 -3 +0 -3 +6 +10 1.0
203533 MLB 70%SF 323290 711016 27653 10 .245.316.348.664 .103.297 208 .301 89 -4 +0 -4 +6 +9 0.7
203634 MLB 71%SF 274247 60914 23572 00 .243.312.336.649 .093.296 218 .295 84 -5 +0 -5 +5 +8 0.3
203735 MLB 73%SF 220198 47713 18482 00 .237.307.328.636 .091.295 228 .288 79 -5 +0 -6 +4 +6 -0.1
203836 MLB 83%SF 166150 35512 14381 00 .233.303.320.623 .087.293 238 .280 73 -5 +0 -6 +3 +5 -0.4
▸ Career Totals (MLE all levels + projections)
Career 62855662 144022336111 508118663 13845 .254.323.365.688 .111.302 198 .308 94 -45 +10 -30 +112 +178 22.9
/ 162G 650586 14923411 531237 145 .254.324.363.688 .109.303 198 .308 94 -5 +1 -3 +12 +18 2.3

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
201917 ROKDSL Yankees 7258 18422 11100 32 .310.420.552.972 .241.327 1415 .406 169 +6 -0 +2 0.8
202119 ROKDSL Yankees 1 151126 371500 22241 83 .294.403.413.815 .119.356 1615 .366 138 +7 +0 +4 1.1
202220 ROKFCL Yankees 152132 461044 15145 83 .348.434.5761.010 .227.368 910 .441 196 +16 +0 +4 2.2
202321 A+Hudson Valley Renegades 11290 32513 17183 61 .356.473.5331.006 .178.408 1615 .439 194 +12 +1 +3 1.6
202321 ATampa Tarpons 348303 901536 38523 153 .297.380.426.805 .129.339 1511 .359 133 +13 +2 +10 2.5
202321 INTLTigres de Aragua 7569 25302 362 40 .362.405.493.898 .130.371 84 .396 161 +5 +1 +2 0.8
202422 AASomerset Patriots 9084 19105 4192 21 .226.278.417.694 .190.233 214 .308 94 -1 +0 +3 0.2
202422 A+Hudson Valley Renegades 243211 701445 29301 73 .332.415.507.922 .175.365 1212 .405 168 +19 +0 +7 2.6
202523 AAASacramento River Cats 535461 1472037 64726 208 .319.409.421.829 .102.363 1312 .374 144 +27 +1 +15 4.4
202523 AASomerset Patriots 3028 3000 260 11 .107.167.107.274 .000.136 207 .137 -37 -5 -0 +1 -0.4
202523 INTLTigres de Aragua 4837 9001 941 30 .243.404.324.729 .081.242 819 .340 119 +1 +1 +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
Jesus Rodriguez (OGILVIE) 24 55 40 40 47 .252/.316/.356 .104.301 58 19% 7% 91 +0.6
Lou Marson
2010 · MLB
24 55→54 39→40 45→50 51 .259/.330/.351 .091.335 65 23% 9% 95 +1.4 .218/.296/.307 .089.276 611 21% 10% 70 -0.3 .200/.290/.281.081.25251321%11%58-0.6
Lastings Milledge
2009 · MLB
24 52→58 48→50 50→55 47 .257/.325/.401 .144.300 1519 19% 7% 107 +2.2 .263/.318/.377 .114.306 1118 17% 6% 98 +1.6 .264/.316/.363.099.30581916%6%88+0.7
Michael Garciaparra
2007 · AAA
24 54 40 43→45 46 .255/.322/.344 .089.320 79 22% 7% 91 +1.1 .239/.303/.317 .078.309 78 23% 7% 76 +0.0 .228/.292/.290.062.3006524%6%61-0.4
Tyler Pastornicky
2014 · MLB
24 54→61 41→45 50→60 46 .258/.298/.356 .098.296 815 16% 5% 82 +0.5 .244/.286/.321 .077.287 511 16% 5% 69 -0.4 .248/.288/.306.058.2892914%5%61-0.6
Jose Aguilar
2014 · AAA
24 57→60 40→45 50→55 47 .272/.325/.361 .088.313 716 15% 5% 95 +1.4 .269/.323/.372 .103.307 816 14% 6% 98 +1.6 .265/.324/.366.101.30081914%6%94+0.8
Rafael Lantigua
2023 · AAA
25 50→56 44→45 48→55 46 .242/.302/.361 .119.316 1017 26% 8% 86 +0.8 .246/.322/.354 .108.316 918 23% 10% 93 +1.3 .240/.324/.336.096.30282021%10%87+0.8
Ramón Urías
2018 · AAA
24 55→61 47→50 46→50 44 .268/.337/.403 .135.316 1414 19% 5% 113 +2.6 .241/.307/.391 .150.296 168 23% 6% 97 +1.5 .254/.322/.393.139.32414325%7%101+1.2
Johnny Giavotella
2012 · MLB
25 55→59 41→45 49→50 48 .262/.308/.368 .106.300 712 16% 6% 90 +1.0 .259/.308/.363 .104.297 811 15% 6% 89 +0.9 .254/.307/.354.100.28781214%6%85+0.6
Kevin Frandsen
2006 · AAA
24 59→64 41→45 46→50 47 .281/.331/.386 .106.305 614 11% 4% 105 +2.1 .267/.324/.375 .108.293 711 11% 5% 99 +1.7 .272/.316/.368.096.2965510%3%91+0.7
Eric Campbell
2011 · AA
24 49→57 43→45 40→50 48 .241/.298/.358 .117.283 105 19% 7% 84 +0.6 .245/.315/.354 .109.302 88 20% 8% 90 +1.0 .268/.347/.386.117.333101121%9%108+1.6
Bryson Smith
2013 · AA
24 55→59 42→45 48→50 41 .264/.313/.371 .107.315 911 19% 4% 93 +1.3 .245/.300/.343 .098.295 88 19% 5% 81 +0.4 .236/.294/.325.089.2858419%5%70-0.1
Luis Urías
2021 · MLB
24 48→58 46→55 46→45 48 .234/.311/.367 .133.298 137 25% 8% 92 +1.2 .237/.328/.399 .162.282 195 22% 10% 108 +2.3 .228/.330/.386.157.27019322%11%99+1.3
A.J. Jimenez
2014 · AAA
24 52→58 41→45 43→50 43 .250/.289/.351 .101.302 77 20% 5% 77 +0.1 .224/.262/.318 .094.274 65 20% 4% 57 -1.2 .213/.249/.304.091.2584419%4%46-0.8
Jose Castillo
2005 · MLB
24 50→59 45→50 46→50 45 .248/.295/.370 .122.301 137 22% 6% 85 +0.7 .255/.300/.391 .136.293 155 18% 6% 93 +1.3 .295/.322/.445.150.307201311%3%115+1.9
Elias Díaz
2015 · AAA
24 48→58 40→50 41→45 46 .233/.282/.326 .093.280 85 20% 6% 69 -0.4 .244/.286/.336 .092.292 75 18% 5% 72 -0.2 .253/.312/.392.139.28017016%7%96+0.8
Andy Ibáñez
2017 · AA
24 47→55 45→50 45 47 .231/.281/.359 .128.265 1210 18% 6% 77 +0.1 .230/.278/.348 .118.269 127 19% 6% 73 -0.1 .252/.306/.406.155.28416517%7%97+1.1
Jose Tabata
2014 · MLB
25 54→61 42→45 46→55 51 .260/.325/.373 .113.298 713 15% 8% 98 +1.6 .253/.307/.340 .087.292 57 14% 6% 82 +0.5 .256/.311/.317.061.2982514%6%76+0.0
Diory Hernandez
2008 · AA
24 51→59 41→45 44→50 40 .246/.289/.346 .101.301 914 21% 4% 77 +0.1 .254/.292/.346 .092.309 612 19% 4% 78 +0.2 .257/.305/.389.132.27916614%6%94+0.6
Thairo Estrada
2019 · AAA
23 53→61 40→50 43→55 44 .256/.296/.343 .087.299 79 17% 5% 79 +0.3 .235/.279/.366 .131.284 1410 22% 4% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Roberto Valenzuela
2019 · AAA
24 49→57 41→40 47→45 50 .237/.292/.338 .101.261 98 13% 6% 76 +0.1 .260/.306/.366 .106.297 119 16% 5% 89 +0.9 .276/.322/.372.096.31410815%5%92+1.0