Justin RodriguezSS DSL Tigers 1
Age 22 R/R 5'10" / 155 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.2 · 2031
wRC+†58
AVG/OBP/SLG.202 / .270 / .298
PA58
HR1
K%31
BB%8
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: +0.6 runs (Positional adjustment)+1POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.1peak
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+1.1$11M+$10M
2033Ext / FA-deal$1.0M+0.9$4M+$3M
2034Ext / FA-deal$1.0M+0.7$4M+$3M
2035Ext / FA-deal$1M+0.5$3M+$2M
2036Ext / FA-deal$0.7M+0.2$1M+$0.4M
2037Ext / FA-deal$0.6M
Totals $5M $22M +$16M

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 Tigers 133128 20221 3611 73 .156.182.227.408 .070.284 462 .170 -12 -17 +0 +0 +1 +4 -1.2
202218 ROKDSL Tigers 2 190174 26811 10975 51 .149.217.224.441 .075.325 515 .203 14 -19 +1 +0 +2 +5 -1.1
202319 ROKDSL Tigers 1 174152 20301 15711 72 .132.214.171.385 .039.221 419 .183 -2 -20 +1 +0 +2 +5 -1.3
202420 ROKDSL Tigers 1 9884 10000 9425 52 .119.245.119.364 .000.238 439 .180 -4 -12 +0 +0 +1 +3 -0.8
▸ 2026 Season
202622 MLBDET 5853 11201 4181 10 .208.276.302.578 .094.287 317 .261 58 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 10897 21412 9321 20 .216.290.340.630 .124.289 308 .278 71 -4 +0 +0 +1 +3 0.1
202824 MLB 26%DET 238213 46815 20683 41 .216.292.333.626 .117.291 298 .289 79 -6 +0 +0 +3 +7 0.4
202925 MLB 43%DET 324289 651228 28914 51 .225.302.363.666 .138.292 289 .296 85 -6 +1 +0 +3 +9 0.8
203026 MLB 58%DET 381341 7714210 331064 61 .226.302.367.668 .141.293 289 .300 88 -5 +1 +0 +4 +11 1.1
203127 MLB 76%DET 410367 8215211 361154 71 .223.300.365.665 .142.293 289 .300 88 -6 +1 +0 +4 +12 1.2
203228 MLB 84%DET 426380 8415211 381205 61 .221.300.358.658 .137.293 289 .299 87 -6 +1 -1 +5 +12 1.1
203329 MLB 90%DET 428382 8415211 381225 51 .220.299.356.655 .136.292 299 .297 85 -7 +1 -1 +5 +12 0.9
203430 MLBDET 426380 8415211 381235 40 .221.300.358.658 .137.290 299 .294 83 -8 +1 -2 +5 +12 0.7
203531 MLBDET 417373 8014210 371224 20 .214.292.343.635 .129.289 299 .290 80 -9 +0 -3 +4 +12 0.5
203632 MLBDET 402359 761329 361204 10 .212.291.334.625 .123.287 309 .285 77 -11 +0 -4 +4 +11 0.2
203733 MLBDET 374334 701228 331144 00 .210.288.329.618 .120.286 309 .280 72 -12 +0 -4 +4 +11 -0.1
203834 MLBDET 331296 611027 291043 00 .206.284.324.608 .118.284 319 .274 68 -12 +0 -5 +4 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 49184402 91716225107 416152659 6714 .208.285.329.615 .121.289 318 .278 71 -161 +8 -20 +53 +139 2.0
/ 162G 650582 12021314 552028 92 .206.284.325.608 .119.286 318 .278 71 -21 +1 -3 +7 +18 0.3

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
202117 ROKDSL Tigers 133126 30331 5431 73 .238.273.333.606 .095.349 324 .269 64 -5 +0 +4 -0.1
202218 ROKDSL Tigers 2 190168 441532 16665 51 .262.344.423.767 .161.416 358 .341 119 +4 +1 +5 1.0
202319 ROKDSL Tigers 1 174142 29401 25491 72 .204.327.254.581 .049.286 2814 .271 65 -7 +1 +5 -0.1
202420 ROKDSL Tigers 1 9879 15010 14295 52 .190.347.215.562 .025.300 3014 .283 75 -3 +0 +3 0.0

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
Justin Rodriguez (OGILVIE) 22 .202/.270/.298 .096.287 11 31% 8% 58 -0.1
Jerar Encarnacion
2019 · A
21 37→45 40→55 46→45 31 .178/.222/.266 .088.301 85 42% 5% 27 -3.3 .202/.249/.313 .111.311 125 37% 5% 52 -1.6 .223/.287/.396.173.32726638%8%87+0.6
Jose Siri
2017 · A
22 37→47 42→60 56→55 28 .184/.210/.289 .105.297 915 41% 3% 27 -3.3 .204/.240/.339 .135.303 1421 36% 4% 55 -1.4 .227/.276/.431.204.317272536%5%92+0.8
Melky Mesa
2009 · A
22 37→44 40→55 46→55 31 .177/.224/.266 .089.305 77 42% 5% 28 -3.2 .192/.248/.333 .141.292 1514 38% 6% 57 -1.2 .209/.267/.364.155.298182135%6%69-0.3
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
Jose Paniagua
2015 · A
21 38 40→50 49→55 41 .186/.244/.281 .095.265 711 31% 7% 41 -2.3 .197/.248/.296 .099.285 88 32% 6% 46 -2.0 .179/.215/.276.097.25610233%3%23-1.0
Nick Pratto
2021 · A
22 37→43 43→55 49→50 33 .182/.230/.286 .104.302 1113 42% 6% 37 -2.7 .201/.287/.393 .192.294 249 38% 9% 90 +1.0 .196/.288/.385.190.28124737%10%87+0.7
Michael A. Taylor
2011 · A
20 38→48 37→55 46→60 41 .186/.242/.263 .077.262 45 29% 6% 36 -2.7 .191/.237/.300 .109.280 916 34% 5% 43 -2.2 .236/.294/.379.143.303191428%7%86+0.6
Juan Lagares
2010 · A
21 42→52 37→45 47→50 36 .204/.234/.277 .072.272 411 26% 3% 34 -2.8 .250/.275/.351 .101.313 715 22% 3% 71 -0.3 .270/.305/.380.110.34261322%4%87+0.7
Eric Wagaman
2021 · A
23 38→48 42→50 41→45 36 .193/.236/.291 .098.285 106 35% 5% 40 -2.4 .203/.263/.331 .128.273 157 30% 7% 63 -0.8 .241/.289/.388.147.287151122%6%85+0.5
Edgar Corcino
2012 · A
20 35→45 39→45 45 37 .173/.232/.256 .082.272 86 38% 6% 30 -3.1 .196/.250/.291 .095.293 96 34% 6% 46 -2.0 .234/.279/.349.116.29611424%5%72-0.1
Mark Dolenc
2007 · A
22 39→49 36→40 49→55 39 .188/.235/.250 .062.266 310 30% 5% 28 -3.2 .215/.269/.288 .073.318 516 31% 6% 53 -1.5 .228/.281/.305.076.33652131%6%58-0.7
Mickey Hall
2007 · A
22 36→43 39→50 48→45 35 .169/.230/.254 .085.307 59 44% 7% 28 -3.2 .191/.265/.316 .125.300 117 37% 9% 60 -1.0 .188/.271/.325.137.27414634%10%63-0.5
Carlos De La Cruz
2021 · A
21 36→44 41→50 43→45 29 .177/.218/.272 .094.314 106 45% 4% 27 -3.3 .193/.249/.318 .125.320 156 42% 6% 53 -1.5 .211/.266/.351.140.31917538%5%66-0.5
Argenis Aldazoro
2014 · A
21 36 40→55 47→50 38 .182/.229/.272 .090.246 78 28% 5% 32 -3.0 .212/.245/.323 .111.278 118 27% 4% 52 -1.6 .223/.251/.348.125.28112925%4%58-0.4
Andrew Ray
2013 · A
22 36 42→55 50 33 .183/.218/.288 .105.277 94 37% 4% 31 -3.0 .189/.222/.315 .126.299 134 40% 4% 40 -2.4 .165/.197/.299.134.26016343%4%23-1.3
Aaron Altherr
2012 · A
21 41→51 37→55 54→50 36 .197/.237/.266 .069.285 517 32% 4% 33 -2.9 .204/.249/.316 .112.296 916 33% 5% 53 -1.5 .244/.318/.420.176.303171424%8%104+1.5
Isaac Galloway
2012 · A
22 37→42 42→45 47→55 30 .188/.213/.293 .105.270 1012 34% 2% 30 -3.1 .186/.212/.286 .100.284 914 37% 3% 28 -3.2 .208/.256/.349.142.276182531%5%61-0.4
Rymer Liriano
2011 · A
20 37→47 42→45 48→55 33 .184/.230/.282 .098.296 1014 40% 5% 35 -2.8 .234/.283/.354 .120.318 1026 28% 6% 76 +0.1 .241/.294/.367.126.331112729%6%82+0.5
DJ Gladney
2023 · AA
22 34→42 43→55 51→50 30 .164/.220/.268 .104.319 126 50% 6% 28 -3.2 .188/.233/.332 .144.299 189 42% 5% 50 -1.7 .194/.233/.350.156.285211039%4%52-1.1
Jhon Goncalves
2010 · A
21 39→49 36→40 49→50 41 .188/.248/.253 .065.275 412 32% 6% 36 -2.7 .198/.268/.258 .060.300 39 32% 8% 46 -2.0 .204/.277/.276.072.28121226%8%52-1.2