Jose GonzalezOF DSL LAD Mega
Age 21 L/R 6'2" / 180 lbs ROK HR +15%K -3% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2031
wRC+†82
AVG/OBP/SLG.212 / .297 / .344
PA148
HR4
K%29
BB%10
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +4.2 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
3535
PWR
4545
SPD
6060
EYE
6960
trajectory · 10 yrs
1.5peak
2032

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+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.4$14M+$13M
2034Ext / FA-deal$1.0M+1.2$12M+$11M
2035Ext / FA-deal$2M+1.0$10M+$9M
2036Ext / FA-deal$2M+0.7$4M+$1M
2037Ext / FA-deal$2M+0.5$3M+$0.8M
Totals $9M $56M +$47M

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
202318 ROKDSL LAD Bautista 11195 11200 13391 63 .116.229.137.366 .021.190 3512 .191 4 -12 +0 +0 -1 +3 -1.0
202419 ROKDSL LAD Bautista 149124 24422 19395 85 .194.324.306.631 .113.262 2613 .272 66 -6 -0 +0 -1 +4 -0.3
202520 ROKDSL LAD Mega 177141 22524 27646 152 .156.316.305.621 .149.237 3615 .276 69 -6 +2 +0 -1 +5 0.0
▸ 2026 Season
202621 MLBLAD 148131 28514 14432 31 .214.299.359.658 .145.285 299 .292 82 -3 +0 +0 -1 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%LAD 223196 43816 22623 51 .219.308.362.670 .143.286 2810 .304 91 -2 +1 +0 -1 +6 0.3
202823 MLB 28%LAD 331290 651229 34884 82 .224.314.372.686 .148.287 2710 .311 96 -1 +1 +0 -2 +9 0.7
202924 MLB 45%LAD 407357 8115212 421075 102 .227.317.381.698 .154.288 2610 .316 100 -0 +1 +0 -2 +12 1.0
203025 MLB 60%LAD 450394 9217314 471176 113 .234.324.398.723 .165.289 2610 .319 102 +1 +1 +0 -3 +13 1.3
203126 MLB 77%LAD 476416 9718315 511236 123 .233.326.399.725 .166.289 2611 .321 104 +2 +1 +0 -3 +13 1.4
203227 MLB 92%LAD 487425 9818315 531276 123 .231.324.393.717 .162.289 2611 .321 104 +2 +1 +0 -3 +14 1.4
203328 MLBLAD 489427 9818315 531286 122 .230.323.391.714 .162.289 2611 .320 103 +2 +2 -1 -3 +14 1.4
203429 MLBLAD 484422 9718315 531286 112 .230.324.393.718 .164.288 2611 .318 101 +1 +1 -1 -3 +14 1.2
203530 MLBLAD 477416 9317214 521286 112 .224.319.375.694 .151.286 2711 .315 99 -1 +1 -2 -3 +14 1.0
203631 MLBLAD 464404 8916213 511276 91 .220.317.366.683 .146.285 2711 .311 96 -2 +1 -3 -3 +13 0.7
203732 MLBLAD 447390 8415212 491245 90 .215.311.356.667 .141.283 2811 .306 92 -4 +2 -4 -3 +13 0.5
203833 MLBLAD 418365 7814211 451195 80 .214.308.353.662 .140.282 2811 .301 88 -6 +2 -4 -3 +12 0.1
203934 MLBLAD 373326 681229 401094 70 .209.303.340.643 .132.280 2911 .294 83 -7 +1 -5 -2 +11 -0.2
204035 MLBLAD 320279 571018 34974 70 .204.300.333.633 .129.277 3011 .286 77 -8 +1 -6 -2 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 64315598 122522436178 699176986 16432 .219.315.367.682 .148.284 2811 .307 93 -50 +20 -25 -39 +182 9.0
/ 162G 650566 12523418 711799 173 .221.317.371.688 .150.288 2811 .307 93 -5 +2 -3 -4 +18 0.9

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
202318 ROKDSL LAD Bautista 11188 16301 20271 63 .182.339.250.589 .068.242 2418 .284 75 -3 +0 +3 0.0
202419 ROKDSL LAD Bautista 149109 29532 34275 85 .266.459.422.881 .156.333 1823 .403 166 +11 -0 +4 1.5
202520 ROKDSL LAD Mega 177125 30835 43416 152 .240.454.472.926 .232.305 2324 .410 172 +14 +2 +5 2.2

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
Jose Gonzalez (OGILVIE) 21 35 45 60 60 .212/.297/.344 .132.285 43 29% 10% 82 +0.1
Carlos Jimenez
2023 · A
20 38→41 46→50 53→55 45 .189/.278/.319 .129.289 1415 37% 10% 67 -0.5 .210/.289/.331 .121.326 1216 36% 9% 74 -0.1 .216/.296/.349.133.314151933%9%78+0.1
Eddinson Paulino
2023 · A
21 44→41 46→45 56→50 44 .216/.282/.359 .144.289 1114 28% 8% 78 +0.2 .202/.260/.328 .126.278 1215 30% 6% 61 -1.0 .186/.241/.303.118.255131532%6%43-1.4
Wuilfredo Antunez
2023 · A
21 46→40 47→50 52→50 49 .229/.308/.368 .140.294 1415 26% 9% 92 +1.2 .217/.270/.351 .134.290 1213 28% 6% 70 -0.3 .212/.260/.365.153.277141428%5%67-0.4
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Loidel Chapelli
2023 · A
21 47→35 46→45 55 50 .231/.297/.368 .137.274 1211 20% 8% 86 +0.8 .196/.264/.300 .104.289 917 33% 8% 55 -1.4 .177/.247/.268.091.27182135%7%37-1.7
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
William Beckwith
2012 · A
21 43→42 48→50 51→50 44 .218/.293/.366 .147.275 169 26% 7% 85 +0.7 .215/.275/.359 .144.290 1711 31% 6% 76 +0.0 .205/.264/.350.145.276191232%5%67-0.3
Jakob Marsee
2023 · A
22 45→47 43→45 57→60 53 .214/.313/.328 .115.295 920 28% 11% 84 +0.6 .215/.314/.338 .123.272 1332 24% 11% 87 +0.8 .209/.308/.338.130.260144024%11%81+0.5
Joe Winker
2012 · A
22 49→34 44→55 55→45 42 .233/.288/.361 .128.321 96 29% 6% 80 +0.4 .201/.250/.319 .118.275 106 29% 6% 53 -1.5 .175/.221/.287.112.23410630%5%33-2.3
Jason Taylor
2009 · A
21 43→40 45 52→55 51 .212/.298/.333 .121.262 1319 24% 10% 79 +0.3 .213/.277/.328 .115.263 1118 22% 7% 67 -0.5 .203/.251/.303.099.24781821%6%48-0.6
Nicky Delmonico
2013 · A
21 41→47 48→55 50→45 45 .211/.274/.350 .139.253 178 24% 7% 72 -0.2 .206/.271/.344 .138.278 157 30% 7% 70 -0.3 .233/.301/.393.161.28418424%8%92+0.9
Akil Baddoo
2019 · A
20 42→51 43→55 56→55 48 .206/.282/.325 .120.283 913 29% 9% 69 -0.4 .212/.283/.340 .128.306 1116 32% 9% 73 -0.1 .232/.314/.375.143.300152426%11%91+0.8
Colt Keith
2023 · A
21 49→53 46→55 53→45 45 .236/.300/.372 .137.327 138 31% 8% 89 +0.9 .251/.308/.410 .159.313 185 25% 7% 102 +1.8 .253/.314/.408.154.30718423%8%102+1.6
Roger Bernadina
2006 · A
22 39→49 44→45 54→60 49 .200/.275/.314 .114.247 1319 24% 8% 64 -0.8 .233/.293/.330 .097.310 825 26% 7% 74 -0.1 .263/.320/.391.127.327123122%7%97+1.4
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
Marcelo Mayer
2023 · A
20 47→46 48→50 55→50 44 .224/.297/.372 .148.336 1513 36% 9% 88 +0.9 .223/.279/.372 .149.303 1612 30% 7% 80 +0.4 .225/.274/.376.152.287181028%6%77+0.1
Derek Fisher
2016 · A
22 43→51 49→55 54→55 43 .218/.283/.364 .146.302 1818 33% 8% 80 +0.4 .227/.297/.381 .154.320 1819 33% 9% 90 +1.0 .226/.302/.402.176.310231833%9%95+1.0
Trey Sweeney
2022 · A
22 44→43 50 53→55 45 .223/.291/.386 .164.299 179 31% 8% 89 +1.0 .208/.280/.352 .144.273 1619 29% 8% 76 +0.0 .213/.283/.350.137.276161728%8%73-0.1
Shed Long Jr.
2017 · A
21 46→48 44→50 50 43 .226/.283/.344 .118.302 1111 28% 7% 74 -0.1 .233/.292/.373 .140.317 1511 29% 7% 85 +0.7 .230/.292/.378.148.312161130%7%83+0.4