José AzocarLF Gwinnett Stripers
Age 30 R/R 5'11" / 181 lbs AAA BB -5% Svc 4.000 · Ctrl thru 2027 peak 0.6 · 2027
wRC+†70
AVG/OBP/SLG.245 / .290 / .355
PA350
HR6
SB27
K%23
BB%5
MLB%10%
BAT: -12.0 runs (wOBA-derived runs vs avg)-12BATRUN: +5.2 runs (SB/CS + UBR baserunning)+5RUNFLD: +0.6 runs (Defensive runs vs avg)+1FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
6060
EYE
3840
trajectory · 10 yrs
0.0peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$0.4M+0.4$2M+$1M
2027Arb-3$3M+0.6$2M+$0.0M (cut)
Totals $3M $4M +$1M

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
201317 ROKVSL Tigers 212206 35710 2622 52 .170.186.214.399 .044.241 291 .175 -8 -26 +0 +0 +1 +6 -1.9
201418 ROKVSL Tigers 269255 65541 6694 135 .255.283.318.601 .063.340 262 .259 56 -13 +1 +0 +1 +8 -0.4
201519 ROKGCL Tigers 211197 50740 4452 64 .254.276.330.606 .076.323 212 .254 53 -11 -0 +0 +1 +6 -0.5
201620 AWest Michigan Whitecaps 532509 122960 171541 145 .240.266.281.547 .041.341 293 .241 43 -34 +1 +0 +2 +15 -1.7
201721 A+Lakeland Flying Tigers 456436 781041 91742 126 .179.199.227.426 .048.291 382 .186 1 -51 +0 +0 +2 +13 -3.7
201822 A+2 teams 428408 1051561 101203 114 .257.280.331.611 .074.354 282 .270 65 -17 +1 +0 +2 +12 -0.3
201923 AA2 teams 606578 1371737 151915 156 .237.263.313.576 .076.336 322 .252 51 -34 +1 +0 +2 +17 -1.4
202125 AA2 teams 544504 12017119 281576 3214 .238.286.369.655 .131.324 295 .280 72 -17 +1 +0 +2 +15 0.1
202226 MLB3 teams 452420 1061955 241074 108 .252.299.357.656 .105.325 245 .279 72 -14 -1 +4 +2 +13 0.3
202327 AAA3 teams 438410 911808 151156 289 .222.260.324.584 .102.287 263 .250 50 -25 +2 -2 -5 +12 -1.7
202428 AAA2 teams 360336 861335 11715 357 .256.290.357.647 .101.305 203 .283 75 -10 +4 +1 -4 +10 0.1
202529 AAA2 teams 312287 631123 19734 186 .220.277.303.581 .084.283 236 .255 53 -17 +1 -1 -3 +9 -1.1
▸ 2026 Season (actual · ROS · total)
202630 AAAGwinnett Stripers 8780 17501 6160 81 .212.267.312.580 .100.254 187 .251 50 -5 +1 +0 +0 +2 -0.1
ROS30 MLBATL 263244 581114 14583 193 .238.287.340.628 .102.294 225 .285 76 -7 +3 +1 +1 +7 0.5
TOT30 MLBATL 350324 751615 20743 274 .231.282.333.616 .102.285 216 .276 70 -12 +4 +1 +1 +10 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 20%ATL 347321 781426 20663 244 .243.294.355.649 .112.287 196 .289 80 -8 +3 -2 +1 +10 0.4
202832 MLB 33%ATL 328303 731325 19643 213 .241.292.347.639 .106.286 206 .285 76 -9 +3 -3 +1 +9 0.2
202933 MLB 43%ATL 298276 651214 17603 182 .236.287.330.617 .094.285 206 .279 72 -10 +3 -4 +1 +8 -0.1
203034 MLB 52%ATL 255237 541013 14542 152 .228.277.316.593 .089.283 215 .273 67 -10 +2 -4 +1 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 63115927 13862085662 244164058 29690 .234.271.319.590 .085.310 264 .259 56 -313 +23 -10 +7 +179 -11.6
/ 162G 650610 1422166 251696 309 .233.269.316.586 .084.309 264 .259 56 -32 +2 -1 +1 +18 -1.2

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
201317 ROKVSL Tigers 212205 481120 3432 52 .234.252.307.560 .073.294 201 .248 48 -12 +0 +6 -0.6
201418 ROKVSL Tigers 269250 85761 11484 135 .340.377.428.805 .088.412 184 .355 130 +9 +1 +8 1.8
201519 ROKGCL Tigers 211194 631050 7312 64 .325.355.428.783 .103.380 153 .335 115 +3 -0 +6 0.9
201620 AWest Michigan Whitecaps 532501 1411180 251191 145 .281.317.335.652 .054.366 225 .293 82 -11 +1 +15 0.5
201721 A+Lakeland Flying Tigers 456431 951063 141222 126 .220.248.292.541 .072.297 273 .239 41 -31 +0 +13 -1.8
201822 A+Lakeland Flying Tigers 318300 871431 9642 52 .290.315.367.682 .077.355 203 .299 87 -5 +0 +9 0.5
201822 AWest Michigan Whitecaps 110104 33361 5211 62 .317.355.490.845 .173.390 195 .370 141 +5 +0 +3 0.9
201923 AAErie SeaWolves 538504 14421310 211325 103 .286.321.399.720 .113.363 254 .317 101 +0 +1 +15 1.7
201923 INTLMesa Solar Sox 6861 17100 7170 53 .279.353.295.648 .016.386 2510 .304 91 -1 -0 +2 0.1
202125 AAAEl Paso Chihuahuas 201190 551480 6451 173 .289.315.447.762 .158.369 223 .327 108 +2 +2 +6 1.0
202125 AASan Antonio Missions 343301 83869 35715 1511 .276.361.432.793 .156.333 2110 .353 128 +11 -1 +10 2.0
202226 MLBSan Diego Padres 216202 52930 12440 56 .257.299.332.631 .074.327 206 .282 74 -6 -1 +4 +2 +6 0.5
202226 AAAEl Paso Chihuahuas 10598 30605 7240 31 .306.352.520.873 .214.362 237 .383 151 +6 +0 +3 0.9
202226 INTLCaribes de Anzoategui 131119 35611 6234 21 .294.349.387.735 .092.351 185 .328 109 +1 +0 +4 0.5
202327 MLBSan Diego Padres 10291 21602 4242 82 .231.278.363.641 .132.292 244 .273 67 -4 +1 -2 -5 +3 -0.6
202327 AAAEl Paso Chihuahuas 212201 54905 9452 185 .269.307.388.695 .119.325 214 .311 96 -1 +2 +6 0.7
202327 INTLCaribes de Anzoategui 124113 31811 7252 22 .274.328.389.717 .115.337 206 .317 101 +0 -0 +4 0.3
202428 MLBSan Diego Padres 7973 16200 5190 51 .219.269.247.516 .027.296 246 .237 40 -5 +1 +1 -4 +2 -0.6
202428 AAASyracuse Mets 281260 771336 9425 306 .296.332.438.771 .142.326 153 .334 113 +4 +4 +8 1.6
202529 MLBAtlanta Braves 2119 5000 210 10 .263.333.263.596 .000.278 510 .282 74 -1 +0 -1 -3 +1 -0.5
202529 AAASyracuse Mets 291261 631324 24594 176 .241.315.352.667 .111.296 208 .302 89 -4 +1 +8 0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career 418385 941732 23882 199 .244.290.319.610 .075.311 216 .272 66 -16 +0 +2 -10 +12 -1.2

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
José Azocar (OGILVIE) 30 50 40 60 40 .245/.290/.355 .110.305 624 23% 5% 80 +0.2
Darren Ford
2016 · AAA
30 45→53 40→45 58→65 43 .221/.273/.310 .089.287 940 26% 6% 60 -1.0 .221/.273/.300 .079.289 625 24% 6% 58 -1.2 .219/.271/.264.046.29212324%6%44-1.5
Tyler Graham
2014 · AAA
30 48→54 38→40 61→65 44 .228/.289/.309 .080.290 538 22% 6% 67 -0.5 .233/.279/.310 .077.290 628 21% 5% 63 -0.9 .240/.280/.291.051.29843820%4%54-1.1
Todd Donovan
2008 · AAA
29 50→53 40 62→65 46 .238/.295/.330 .091.292 640 20% 6% 75 -0.0 .233/.305/.310 .077.303 436 22% 9% 74 -0.1 .234/.315/.302.068.30834223%10%74-0.1
Justin Christian
2009 · MLB
29 52→57 41→45 64→65 45 .249/.290/.350 .101.289 741 16% 5% 78 +0.2 .251/.295/.361 .110.288 831 15% 5% 83 +0.6 .263/.319/.389.125.293103014%6%97+1.3
Eury Pérez
2019 · AAA
29 54→64 39→40 61→65 41 .255/.291/.347 .092.311 535 19% 4% 77 +0.1 .256/.298/.360 .104.310 817 19% 5% 84 +0.6 .310/.351/.408.098.3744717%5%112+0.6
Jason Bourgeois
2012 · MLB
30 57→58 38→45 63→65 47 .270/.308/.350 .080.300 543 12% 5% 85 +0.7 .249/.291/.326 .077.278 528 12% 5% 72 -0.2 .253/.288/.335.082.28751414%4%69-0.2
Trent Durrington
2006 · MLB
30 51→45 42→40 58→60 47 .245/.306/.350 .104.307 935 22% 7% 85 +0.7 .224/.280/.304 .080.289 632 23% 6% 62 -0.9 .211/.267/.271.060.27533623%6%45-1.2
Quintin Berry
2014 · MLB
29 47→57 38→40 62→65 47 .222/.294/.298 .076.302 538 27% 8% 67 -0.5 .225/.294/.291 .066.305 433 25% 8% 65 -0.7 .228/.296/.280.052.31133726%8%60-0.7
Eric Young Jr.
2015 · MLB
30 53→60 39→45 65 50 .248/.311/.343 .095.297 543 18% 8% 85 +0.7 .229/.293/.312 .083.282 537 19% 7% 69 -0.4 .242/.299/.354.111.30392422%6%80+0.2
Dairon Blanco
2023 · AAA
30 49→52 48→50 62→70 41 .242/.296/.383 .141.312 1641 27% 6% 90 +1.0 .254/.315/.388 .134.326 1469 25% 6% 99 +1.7 .253/.319/.379.126.320139524%6%96+0.6
Matt Lipka
2022 · AAA
30 49→53 45 57→60 38 .239/.285/.360 .121.329 1230 30% 5% 79 +0.3 .225/.283/.336 .111.326 1035 32% 7% 72 -0.2 .194/.263/.274.079.29845934%8%43-0.8
Jon Berti
2019 · MLB
29 50→59 43→45 63→60 45 .242/.303/.360 .118.303 935 22% 6% 86 +0.8 .252/.332/.377 .125.321 1229 23% 9% 103 +1.9 .242/.340/.358.116.311122924%11%100+0.7
Lane Adams
2019 · MLB
29 43→45 45→50 60 39 .210/.268/.331 .122.310 1333 35% 7% 65 -0.7 .200/.264/.338 .138.318 1518 39% 7% 66 -0.6 .178/.247/.326.148.282181441%7%51-1.0
Emilio Bonifácio
2015 · MLB
30 51→61 38→40 60→65 47 .243/.296/.329 .086.304 536 21% 7% 75 -0.0 .249/.293/.326 .077.311 429 20% 6% 72 -0.2 .246/.288/.332.086.30653320%5%68-0.2
Billy Hamilton
2021 · MLB
30 47→57 38→40 59→70 49 .223/.289/.303 .080.290 534 24% 8% 66 -0.6 .197/.252/.293 .096.291 834 33% 7% 47 -1.9 .159/.211/.231.072.25544737%6%12-1.0
Ezequiel Carrera
2015 · MLB
28 53→63 40→45 63→60 45 .255/.302/.355 .100.310 739 20% 6% 84 +0.6 .254/.312/.354 .100.315 1024 21% 7% 89 +0.9 .257/.324/.357.100.321111522%8%91+0.6
Darin Mastroianni
2015 · MLB
29 47→57 39→40 57→60 45 .224/.281/.305 .081.288 729 24% 6% 63 -0.8 .221/.268/.295 .074.280 522 22% 5% 54 -1.4 .218/.263/.278.060.27622421%5%44-1.4
Elliot Johnson
2014 · MLB
30 45→54 42→50 58→60 45 .222/.278/.326 .104.286 1031 25% 7% 67 -0.5 .208/.267/.316 .108.276 918 26% 7% 60 -1.0 .189/.251/.297.108.25571227%7%47-0.9
Wynton Bernard
2021 · AAA
30 45→55 42→45 57→60 42 .218/.265/.326 .108.278 827 24% 6% 61 -1.0 .229/.279/.352 .123.291 1229 24% 6% 74 -0.1 .251/.299/.377.127.306123721%6%85+0.5
Freddy Guzman
2012 · AAA
31 47→57 41→45 62→70 45 .226/.268/.325 .099.265 838 18% 6% 62 -0.9 .266/.317/.386 .120.313 1064 17% 7% 98 +1.6 .268/.322/.363.096.32377418%7%91+0.8