Robert Perez Jr.LF San Antonio Missions
Age 26 R/R 6'1" / 170 lbs AA HR +13%BB +8% Svc 0.0 · Ctrl thru 2034
wRC+†60
AVG/OBP/SLG.188 / .264 / .313
PA250
HR6
K%39
BB%7
MLB%2%
BAT: -11.2 runs (wOBA-derived runs vs avg)-11BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
2020
PWR
3939
SPD
5151
EYE
4848
trajectory · 10 yrs
-0.7peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $-13M $-36M -$23M
Underwater contract
Projected production over the remaining contract is worth -$23M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
201717 ROKDSL Mariners 277257 411003 11985 62 .160.209.233.442 .074.237 354 .192 5 -30 +0 +0 -3 +8 -2.5
201818 ROKDSL Mariners 127112 19404 11494 13 .170.268.312.580 .143.254 399 .246 46 -8 -1 +0 -1 +4 -0.7
201919 AAATacoma Rainiers 6965 12212 3311 00 .185.232.338.570 .154.312 454 .234 37 -5 +0 +0 -1 +2 -0.4
202121 AModesto Nuts 457413 10017215 2214917 00 .242.308.402.709 .160.335 335 .301 89 -6 +0 +0 -5 +13 0.2
202222 A3 teams 645555 12520227 5422124 61 .225.321.414.735 .189.307 348 .314 99 -1 +1 +0 -7 +18 1.1
202323 AA2 teams 534488 9919317 2620316 22 .203.266.359.625 .156.301 385 .272 66 -20 -0 +0 -6 +15 -1.2
202424 AA2 teams 548485 861909 4222518 149 .177.268.272.540 .095.303 418 .245 46 -34 -1 +0 -6 +16 -2.5
▸ 2026 Season
202626 MLBSD 250224 43916 17977 42 .192.270.321.592 .129.296 397 .264 60 -11 +0 +0 -3 +7 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 11%SD 336301 581218 241258 53 .193.270.319.589 .126.296 377 .270 65 -13 -0 +0 -4 +10 -0.8
202828 MLB 22%SD 364326 641319 261329 53 .196.274.325.599 .129.295 367 .273 67 -13 -0 -1 -4 +10 -0.8
202929 MLB 34%SD 373334 651319 271349 42 .195.273.320.593 .126.294 367 .274 68 -14 +0 -1 -4 +11 -0.9
203030 MLB 44%SD 378339 661319 281368 32 .195.272.319.591 .124.292 367 .272 66 -14 -0 -2 -4 +11 -1.0
203131 MLB 58%SD 369331 651319 271348 11 .196.273.323.596 .127.291 367 .268 63 -15 -0 -3 -4 +10 -1.2
203232 MLB 76%SD 354317 601218 261318 01 .189.268.309.577 .120.289 377 .263 60 -16 -0 -4 -4 +10 -1.4
203333 MLB 93%SD 326292 551117 241237 00 .188.266.305.571 .116.287 387 .258 56 -16 +0 -4 -3 +9 -1.5
203434 MLBSD 284255 47916 211096 00 .184.262.298.560 .114.285 387 .252 51 -16 +0 -5 -3 +8 -1.6
▸ Career Totals (MLE all levels + projections)
Career 56915094 100519617148 3892097155 5131 .197.275.330.604 .132.296 377 .269 64 -233 -2 -20 -61 +161 -15.8
/ 162G 650582 11522217 4424018 64 .198.275.330.605 .132.297 377 .269 64 -27 -0 -2 -7 +18 -1.8

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
201717 ROKDSL Mariners 277249 541404 19685 62 .217.286.321.607 .104.276 257 .274 68 -10 +0 +8 -0.2
201818 ROKDSL Mariners 127105 26605 18344 13 .248.378.448.826 .200.318 2714 .372 142 +6 -1 +4 0.9
201919 AAATacoma Rainiers 6964 16313 4241 00 .250.304.469.773 .219.351 356 .339 117 +1 +0 +2 0.3
202121 AModesto Nuts 457401 11321215 3411417 00 .282.363.456.819 .175.354 257 .362 135 +18 +0 +13 3.2
202222 A+Everett AquaSox 153120 41617 23349 11 .342.480.5831.064 .242.425 2215 .464 213 +20 -0 +4 2.4
202222 AModesto Nuts 415345 9318120 4810812 50 .270.378.501.879 .232.322 2612 .380 149 +23 +1 +12 3.6
202222 INTLPeoria Javelinas 7765 15113 8223 00 .231.342.415.757 .185.293 2910 .337 116 +1 +0 +2 0.4
202323 AAArkansas Travelers 508450 10922416 3815516 22 .242.323.416.739 .173.329 317 .329 110 +6 -0 +14 2.0
202323 INTLCardenales de Lara 2622 5100 430 00 .227.346.273.619 .045.263 1215 .296 85 -0 +0 +1 0.0
202424 AASan Antonio Missions 476405 912109 5214816 149 .225.336.343.679 .119.327 3111 .313 98 -1 -1 +13 1.2
202424 INTLCardenales de Lara 7268 9401 2282 00 .132.181.235.416 .103.205 393 .190 4 -8 +0 +2 -0.6

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
Robert Perez Jr. (OGILVIE) 26 20 39 51 48 .188/.264/.313 .125.296 64 39% 7% 60 -0.4
Daniel Amaral
2023 · AA
26 41 47→40 48→55 41 .209/.268/.341 .133.288 1514 32% 7% 68 -0.5 .231/.302/.338 .107.302 928 25% 8% 81 +0.4 .241/.322/.332.091.31264822%9%85+0.3
Chase Pinder
2022 · AA
26 38 42→45 43→45 44 .190/.273/.285 .095.272 105 32% 8% 56 -1.3 .226/.321/.370 .144.293 1510 26% 11% 98 +1.6 .221/.324/.370.149.286161127%12%97+0.8
Cory Vaughn
2015 · AAA
26 38→40 45 54→50 42 .196/.270/.318 .122.273 1315 32% 7% 63 -0.8 .193/.258/.302 .109.284 1112 34% 7% 53 -1.5 .153/.220/.254.100.2339936%7%22-1.3
Davis Wendzel
2023 · AAA
26 35→28 49→50 43→40 41 .191/.255/.331 .140.253 185 32% 7% 60 -1.0 .195/.273/.341 .146.245 195 28% 8% 71 -0.3 .191/.275/.335.144.22919426%8%68-0.4
Chris Sharpe
2022 · AAA
26 38→39 45 45→50 39 .191/.258/.315 .124.278 1211 34% 6% 57 -1.2 .189/.266/.294 .105.293 813 36% 8% 56 -1.3 .164/.257/.268.103.25871636%9%46-1.0
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Sean Coyle
2017 · AAA
25 36 45→50 48→50 37 .186/.248/.306 .120.290 1412 39% 7% 50 -1.7 .185/.245/.287 .102.286 910 36% 7% 43 -2.2 .153/.212/.244.092.2243632%7%14-1.0
Dylan Rosa
2022 · AAA
26 40→31 46→45 47→45 33 .199/.248/.328 .129.302 148 38% 4% 56 -1.3 .193/.253/.332 .139.376 179 49% 6% 59 -1.1 .132/.204/.261.129.285221058%8%20-1.2
Jayson Langfels
2014 · AA
25 42→32 43→40 46→50 37 .201/.264/.310 .109.312 1111 37% 6% 58 -1.2 .206/.279/.294 .088.335 714 38% 7% 60 -1.0 .202/.285/.272.070.34141738%8%54-0.8
Jacob Heyward
2022 · AA
26 38→40 50 42→50 44 .192/.286/.345 .153.293 188 38% 10% 78 +0.2 .193/.266/.328 .135.309 175 40% 8% 64 -0.8 .160/.236/.267.107.26515143%8%34-1.7
Tyler Marincov
2018 · AA
26 40→41 45→50 44→50 38 .204/.257/.326 .122.289 139 33% 6% 59 -1.1 .196/.253/.340 .144.300 1910 39% 6% 62 -0.9 .165/.222/.300.135.246201441%7%37-1.6
Jake Means
2023 · AA
27 35→30 47→45 50→45 43 .183/.260/.318 .135.266 159 36% 9% 59 -1.1 .181/.252/.301 .120.260 1410 34% 8% 51 -1.7 .130/.207/.227.097.17215834%8%11-2.0
McCarthy Tatum
2022 · AA
26 34→25 42→55 45→50 35 .173/.235/.271 .098.281 106 40% 6% 36 -2.7 .198/.254/.317 .119.290 1210 34% 5% 56 -1.3 .201/.254/.332.131.279121131%4%55-0.5
Victor Roache
2018 · AA
26 39 46→50 47→45 33 .189/.243/.317 .129.319 136 43% 6% 50 -1.7 .187/.240/.307 .120.297 146 40% 6% 46 -2.0 .170/.223/.286.116.25416439%6%33-2.3
Caleb Hamilton
2022 · AAA
27 36 44→45 46→45 43 .181/.257/.295 .114.275 129 37% 9% 52 -1.6 .181/.267/.319 .138.277 186 38% 10% 63 -0.9 .145/.237/.274.129.20919339%10%37-0.8
Mark Contreras
2021 · AA
26 36→38 44→50 47→55 38 .183/.247/.298 .115.269 1113 35% 6% 48 -1.9 .201/.262/.346 .145.292 1719 36% 6% 66 -0.6 .199/.260/.339.140.286172435%6%61-0.7
Bryan Arias
2023 · AA
26 38 43→45 51→50 40 .188/.263/.297 .108.296 1213 38% 8% 55 -1.4 .201/.277/.307 .106.299 1014 34% 8% 63 -0.9 .196/.298/.302.106.259112426%10%67-0.1
Jordan Betts
2018 · AA
26 36→29 43→45 46→40 35 .184/.232/.292 .108.283 115 38% 6% 39 -2.5 .203/.251/.317 .114.300 134 35% 6% 54 -1.4 .191/.237/.292.101.27313034%5%38-1.6
Neil Medchill
2013 · AA
26 38→27 48→50 46→45 35 .190/.246/.323 .134.309 167 42% 7% 54 -1.4 .212/.267/.327 .115.349 127 40% 6% 63 -0.9 .206/.263/.291.085.34410540%6%50-0.7
Brock Kjeldgaard
2012 · AA
26 41→43 50 48→45 35 .203/.267/.357 .153.322 188 41% 6% 72 -0.2 .192/.268/.344 .152.297 195 40% 8% 69 -0.4 .166/.251/.314.148.24621140%9%53-1.1