Jose AstudilloSS ACL Giants
Age 22 R/R 5'9" / 172 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2031
wRC+†83
AVG/OBP/SLG.236 / .300 / .351
PA187
HR3
K%23
BB%7
MLB%0%
BAT: -3.5 runs (wOBA-derived runs vs avg)-3BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.0 runs (Positional adjustment)+2POSREP: +5.3 runs (Replacement-level credit)+5REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
6873
PWR
3035
SPD
5257
EYE
3843
trajectory · 10 yrs
2.1peak
2031

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+2.0$19M+$18M
2033Ext / FA-deal$1.0M+1.8$18M+$17M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.4$15M+$12M
2036Ext / FA-deal$4M+1.1$12M+$8M
2037Ext / FA-deal$4M+0.8$4M+$0.5M
Totals $13M $84M +$71M

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 Giants Black 6056 9200 271 30 .161.203.196.400 .036.180 123 .194 7 -6 +1 +0 +1 +2 -0.3
202218 ROKDSL Giants Orange 4033 7110 361 61 .212.297.303.600 .091.250 158 .254 53 -2 +1 +0 +0 +1 0.0
202319 ROKDSL Giants Orange 10294 30510 572 101 .319.366.394.760 .074.341 75 .325 107 +1 +2 +0 +1 +3 0.7
202420 ROKDSL Giants Black 1614 5000 001 00 .357.400.357.757 .000.333 00 .304 91 -0 +0 +0 +0 +0 0.0
202521 ROK2 teams 200183 54911 9265 107 .295.345.372.717 .077.333 134 .303 90 -2 -1 +0 +2 +6 0.5
▸ 2026 Season
202622 MLBSF 187170 40713 13432 41 .235.297.341.638 .106.297 237 .294 83 -3 +0 +0 +2 +5 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SF 252228 561025 19563 51 .246.312.373.685 .127.300 228 .306 92 -2 +1 +0 +3 +7 0.8
202824 MLB 26%SF 346311 781428 28744 82 .251.321.386.707 .135.301 218 .313 98 -1 +1 +0 +4 +10 1.4
202925 MLB 43%SF 400359 901639 33855 92 .251.322.387.710 .136.302 218 .318 101 +1 +1 +0 +4 +11 1.8
203026 MLB 58%SF 435390 9918310 37925 102 .254.326.392.719 .138.303 219 .320 103 +1 +1 +0 +5 +12 2.0
203127 MLB 76%SF 450404 10218311 38965 102 .252.324.394.718 .141.303 218 .320 103 +2 +1 +0 +5 +13 2.1
203228 MLB 84%SF 455408 10218311 39985 102 .250.323.390.713 .140.303 229 .319 103 +1 +1 -1 +5 +13 2.0
203329 MLB 90%SF 451404 10118310 39985 92 .250.324.384.707 .134.303 229 .318 101 +1 +1 -1 +5 +13 1.8
203430 MLBSF 444397 9817310 39985 92 .247.322.380.702 .134.302 229 .315 99 -0 +1 -2 +5 +13 1.6
203531 MLBSF 432386 941729 38975 81 .244.319.368.687 .124.302 229 .312 97 -2 +1 -3 +5 +12 1.4
203632 MLBSF 416373 911629 36964 70 .244.317.370.687 .126.301 239 .307 93 -3 +1 -4 +4 +12 1.1
203733 MLBSF 387347 831428 33924 70 .239.312.360.673 .121.301 249 .302 90 -5 +1 -4 +4 +11 0.8
203834 MLBSF 343308 721226 29843 60 .234.306.344.650 .110.301 248 .297 85 -6 +1 -5 +4 +10 0.4
203935 MLBSF 290261 611025 24743 50 .234.306.345.650 .111.300 268 .290 80 -6 +1 -6 +3 +8 0.0
204036 MLBSF 233210 48814 19622 50 .229.299.333.632 .105.299 278 .282 74 -7 +1 -6 +2 +7 -0.3
204137 MLBSF 171153 33512 14472 30 .216.290.301.591 .085.298 278 .274 68 -6 +1 -7 +2 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 61105489 135323538121 497133872 14426 .246.317.369.687 .123.303 228 .307 93 -46 +18 -38 +65 +173 17.6
/ 162G 650584 14425413 531428 153 .247.318.370.688 .123.303 228 .307 93 -5 +2 -4 +7 +18 1.9

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 Giants Black 6053 11300 551 30 .208.288.264.552 .057.224 88 .255 54 -3 +1 +2 -0.1
202218 ROKDSL Giants Orange 4032 9210 441 61 .281.378.406.785 .125.310 1010 .328 110 +0 +1 +1 0.2
202319 ROKDSL Giants Orange 10291 33620 852 101 .363.426.473.898 .110.379 58 .398 163 +7 +2 +3 1.2
202420 ROKDSL Giants Black 1614 5000 001 00 .357.400.357.757 .000.333 00 .329 110 +0 +0 +0 0.1
202521 ASan Jose Giants 7870 22600 5101 51 .314.368.400.768 .086.355 136 .339 117 +2 +1 +2 0.4
202521 ROKACL Giants 122107 43611 1094 56 .402.471.505.976 .103.429 78 .434 191 +12 -1 +3 1.5

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
Jose Astudillo (OGILVIE) 22 68→73 30→35 52→57 43 .236/.300/.351 .115.297 34 23% 7% 83 +0.2
Osleivis Basabe
2023 · AA
22 56→61 40→45 56→50 46 .264/.308/.367 .104.313 517 17% 6% 89 +1.0 .246/.291/.352 .106.299 713 19% 5% 79 +0.3 .230/.277/.338.108.28091121%5%67-0.4
Jonathan Jones
2012 · A
22 50→60 39→45 50→55 46 .236/.299/.322 .086.303 716 23% 7% 75 -0.0 .226/.290/.292 .066.287 221 21% 7% 63 -0.8 .258/.318/.391.133.307132519%6%97+0.8
Jon Jay
2007 · A
22 56→65 40→45 50 49 .267/.320/.367 .100.306 711 15% 7% 95 +1.4 .256/.306/.365 .109.302 1012 18% 6% 89 +0.9 .287/.347/.405.118.33291515%6%111+2.1
Vaughn Grissom
2022 · A
21 52→62 42→50 53→55 48 .250/.318/.360 .110.306 911 21% 7% 93 +1.3 .269/.332/.397 .128.319 1217 19% 7% 108 +2.3 .268/.333/.391.123.317121819%7%103+1.6
Otto Lopez
2021 · A
22 53→59 39→45 47→55 44 .252/.291/.338 .086.301 512 18% 5% 75 -0.0 .258/.307/.352 .094.325 517 21% 6% 85 +0.7 .266/.318/.393.127.299132016%7%97+1.0
Chin-Lung Hu
2006 · A
22 57→61 42→45 51→50 44 .273/.305/.381 .108.299 816 12% 4% 92 +1.2 .257/.295/.364 .107.290 811 14% 5% 83 +0.6 .266/.297/.377.110.29881113%4%82+0.4
Kelby Tomlinson
2012 · A
22 49→59 40 55→60 44 .234/.284/.337 .103.297 613 23% 6% 72 -0.2 .216/.269/.274 .058.292 221 25% 6% 49 -1.8 .274/.334/.339.065.33432417%7%89+0.7
Matt Duffy
2014 · A
23 50→60 45 53→50 49 .244/.301/.367 .122.280 1216 18% 7% 87 +0.8 .274/.320/.386 .112.326 915 18% 6% 100 +1.7 .285/.330/.394.109.33681417%5%104+1.6
Iván De Jesús Jr.
2010 · AA
23 57→64 40→45 50 51 .270/.334/.361 .091.326 711 19% 8% 99 +1.7 .245/.290/.327 .082.306 67 21% 6% 72 -0.2 .263/.316/.362.099.3455424%7%89+0.7
Nick Van Stratten
2007 · A
22 49→59 39→40 57→55 50 .228/.292/.324 .096.254 511 13% 6% 72 -0.2 .249/.307/.353 .104.286 512 14% 6% 86 +0.8 .304/.340/.384.080.34132311%4%103+0.8
Thairo Estrada
2018 · AA
22 55→61 40→50 43→55 45 .266/.308/.358 .092.306 810 16% 5% 87 +0.8 .237/.278/.344 .107.288 1010 21% 4% 72 -0.2 .270/.326/.420.150.314172119%5%108+1.8
Nick Senzel
2017 · A
22 48→56 44→50 51→50 47 .232/.297/.363 .132.298 1016 25% 8% 85 +0.7 .253/.307/.400 .147.331 1314 26% 7% 98 +1.6 .259/.313/.416.157.335151626%7%102+1.2
Ramon Rios
2010 · AAA
22 55→65 40 45→50 43 .262/.291/.358 .096.288 69 12% 3% 79 +0.3 .250/.282/.323 .073.278 48 11% 3% 66 -0.6 .317/.341/.393.076.342589%2%105+1.6
Johnny Giavotella
2009 · A
22 50→59 41→45 46→50 47 .242/.288/.342 .100.277 710 16% 6% 75 -0.0 .249/.300/.352 .103.287 713 15% 6% 82 +0.5 .273/.320/.378.104.31481015%6%94+1.4
Eliezer Álvarez
2017 · A
22 56→62 41→45 52→55 45 .262/.316/.376 .114.335 618 22% 6% 95 +1.4 .218/.274/.324 .106.320 918 32% 7% 65 -0.7 .180/.239/.278.099.282101938%7%36-1.7
Austin Jackson
2009 · AA
22 50→60 42→50 53→55 42 .237/.287/.345 .108.319 817 27% 6% 76 +0.0 .256/.307/.360 .104.346 620 26% 6% 87 +0.8 .262/.334/.398.135.335121323%9%106+2.3
L.J. Hoes
2012 · AA
22 52→62 38→40 47→50 45 .248/.295/.326 .078.308 613 21% 6% 73 -0.1 .264/.323/.355 .091.322 614 18% 8% 93 +1.3 .266/.330/.355.089.32451318%8%92+1.0
Harold Ramírez
2017 · AA
22 58→64 38→50 48→50 41 .272/.316/.360 .088.339 414 20% 4% 91 +1.1 .267/.307/.372 .105.326 89 20% 4% 90 +1.0 .293/.336/.419.126.34012517%4%112+1.8
Jose Aguilar
2013 · AAA
23 55→60 40→45 50→55 47 .261/.316/.351 .090.305 716 17% 6% 89 +1.0 .274/.327/.373 .099.314 816 15% 6% 99 +1.7 .282/.339/.384.102.31881613%6%103+1.3
Andrelton Simmons
2012 · A
22 55→61 36→45 49→50 45 .256/.291/.331 .075.283 216 11% 4% 72 -0.2 .253/.297/.362 .109.273 911 11% 5% 84 +0.6 .282/.331/.398.116.29810149%6%104+2.0