Cesar GonzalezC Stockton Ports
Age 21 R/R 6'2" / 165 lbs A HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 2.5 · 2032
wRC+†53
AVG/OBP/SLG.209 / .279 / .317
PA140
HR2
K%29
BB%8
MLB%0%
BAT: -7.4 runs (wOBA-derived runs vs avg)-7BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.5 runs (Positional adjustment)+2POSREP: +4.0 runs (Replacement-level credit)+4REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.5peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M+2.4$22M+$21M
2032Pre-Arb$0.9M+2.5$24M+$23M
2033Pre-Arb$1.0M+2.4$24M+$23M
2034Arb-1$4M+2.1$21M+$17M
2035Arb-2$6M+1.9$20M+$13M
2036Arb-3$7M+1.5$16M+$9M
Totals $21M $127M +$106M

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
202217 ROKDSL Athletics 7155 13100 9126 11 .236.400.255.655 .018.295 1713 .290 80 -2 -0 +0 +1 +2 0.2
202318 ROKDSL Athletics 180158 22302 16426 12 .139.244.196.441 .057.175 239 .211 20 -16 -1 +0 +3 +5 -0.9
202419 ROKACL Athletics 4642 7210 3201 00 .167.239.262.501 .095.318 437 .191 4 -5 +0 +0 +1 +1 -0.3
202520 ROK2 teams 147130 19710 13551 01 .146.229.215.445 .069.244 379 .209 18 -14 -0 +0 +3 +4 -0.7
▸ 2026 Season (actual · ROS · total)
202621 AStockton Ports 6251 8101 6284 10 .157.295.235.530 .078.304 4510 .235 38 -4 +0 +0 +1 +2 -0.1
ROS21 MLBOAK 7871 14301 6241 10 .197.269.282.551 .085.290 318 .271 66 -3 +0 +0 +1 +2 0.1
TOT21 MLBOAK 140122 22402 12525 20 .180.281.262.543 .082.290 379 .255 53 -7 +0 +0 +2 +4 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%OAK 230203 44815 21564 41 .217.303.340.643 .123.272 249 .295 84 -4 +0 +0 +4 +7 0.7
202823 MLB 28%OAK 335294 671229 32796 61 .228.316.374.690 .146.274 2410 .305 91 -3 +1 +0 +6 +9 1.3
202924 MLB 45%OAK 408359 8115211 39957 71 .226.314.370.684 .145.276 2310 .311 96 -2 +1 +0 +7 +12 1.9
203025 MLB 60%OAK 450395 9117213 441048 82 .230.320.382.702 .152.277 2310 .315 100 -0 +1 +0 +8 +13 2.2
203126 MLB 77%OAK 474415 9618214 481098 82 .231.323.386.708 .154.278 2310 .317 101 +1 +1 +0 +8 +13 2.4
203227 MLB 92%OAK 484424 9718214 491128 81 .229.320.380.700 .151.278 2310 .317 101 +1 +1 +0 +9 +14 2.5
203328 MLBOAK 486425 9718214 501138 81 .228.321.379.700 .151.277 2310 .316 100 +0 +1 -1 +9 +14 2.4
203429 MLBOAK 480420 9517214 491138 71 .226.319.376.695 .150.276 2410 .314 99 -1 +1 -1 +9 +14 2.1
203530 MLBOAK 472412 9317213 491138 60 .226.320.371.691 .146.275 2410 .311 96 -2 +1 -2 +8 +13 1.9
203631 MLBOAK 446390 8716212 461097 30 .223.316.367.683 .144.273 2410 .307 93 -3 +1 -3 +8 +13 1.5
203732 MLBOAK 415362 7914211 431037 10 .218.313.359.672 .141.272 2510 .303 90 -5 +0 -4 +7 +12 1.1
203833 MLBOAK 376329 711329 38966 00 .216.308.350.658 .134.270 2610 .297 86 -6 +0 -4 +7 +11 0.7
203934 MLBOAK 324283 601118 33865 00 .212.305.343.648 .131.268 2710 .291 81 -7 +0 -5 +6 +9 0.3
204035 MLBOAK 268235 47816 27734 00 .200.293.319.612 .119.266 2710 .283 75 -8 +0 -6 +5 +8 -0.1
204136 MLBOAK 212186 36614 21603 00 .194.286.301.587 .108.263 2810 .274 68 -8 +0 -6 +4 +6 -0.4
204237 MLBOAK 154136 26413 15452 00 .191.281.301.583 .110.259 2910 .265 61 -7 +0 -7 +3 +4 -0.7
▸ Career Totals (MLE all levels + projections)
Career 65365724 124222829163 6511619114 6914 .217.309.352.662 .135.272 2510 .299 87 -94 +8 -38 +117 +185 18.1
/ 162G 650569 12423316 6516111 71 .218.310.353.663 .135.273 2510 .299 87 -9 +1 -4 +12 +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
202217 ROKDSL Athletics 7150 14100 1486 11 .280.486.300.786 .020.326 1120 .383 152 +4 -0 +2 0.6
202318 ROKDSL Athletics 180147 32603 27296 12 .218.361.320.681 .102.252 1615 .322 105 +1 -1 +5 0.6
202419 ROKACL Athletics 4641 10310 4141 00 .244.326.366.692 .122.370 309 .314 98 -0 +0 +1 0.1
202520 AStockton Ports 4639 7200 5120 00 .179.273.231.503 .051.241 2611 .230 34 -3 +0 +1 -0.2
202520 ROKACL Athletics 10184 20910 15261 01 .238.360.369.729 .131.339 2615 .331 111 +1 -0 +3 0.4

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
Cesar Gonzalez (OGILVIE) 21 .209/.279/.317 .108.287 22 29% 8% 67 -0.1
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
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
Max Stassi
2012 · A
21 40→43 44→55 43→40 41 .198/.260/.309 .111.287 125 34% 7% 56 -1.3 .218/.270/.362 .144.290 174 30% 5% 74 -0.1 .208/.295/.359.151.27120030%10%81+0.2
Tyler Stephenson
2019 · A
22 43→53 42→50 46→30 44 .212/.280/.315 .103.285 103 28% 8% 66 -0.6 .232/.305/.347 .115.297 113 24% 8% 85 +0.7 .253/.327/.399.146.32316125%9%102+1.3
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Luis Torrens
2017 · A
21 43→49 41→55 46→30 47 .210/.281/.305 .094.262 96 23% 8% 64 -0.8 .214/.267/.307 .093.269 73 22% 6% 57 -1.2 .228/.285/.376.148.28819027%7%82+0.3
Hunter Goodman
2022 · A
22 46→47 42→65 50→40 43 .220/.291/.330 .111.304 97 29% 7% 75 -0.0 .215/.268/.415 .200.284 264 34% 6% 88 +0.9 .221/.275/.455.234.25932229%6%99+1.4
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Tyler Nevin
2018 · A
21 46→54 41→50 45 43 .225/.276/.329 .104.286 89 24% 6% 67 -0.5 .231/.283/.339 .108.294 106 24% 6% 72 -0.2 .240/.318/.386.146.29017422%8%98+1.1
Christian Vázquez
2012 · A
21 42→52 46→50 46→45 41 .215/.263/.344 .130.271 143 27% 5% 66 -0.6 .230/.286/.337 .107.289 104 23% 7% 74 -0.1 .263/.314/.411.148.30118819%7%101+1.2
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
Wilin Rosario
2010 · A
21 43→53 44→60 45 36 .215/.254/.330 .114.302 125 32% 5% 58 -1.2 .233/.268/.405 .172.290 234 28% 4% 85 +0.7 .265/.302/.457.192.30126421%5%107+1.6
Sam McWilliams
2019 · A
21 46→53 39→55 54→50 43 .215/.280/.307 .092.311 614 31% 7% 63 -0.8 .213/.273/.319 .106.326 810 35% 7% 63 -0.8 .244/.305/.407.163.380181038%7%98+1.1
Jorge Alfaro
2014 · A
21 40→50 46→50 51→50 33 .203/.255/.338 .135.299 1411 36% 4% 62 -0.9 .213/.261/.347 .134.308 147 34% 4% 66 -0.6 .259/.315/.406.147.38019635%5%97+0.8
Lou Marson
2007 · A
21 44→54 40 53→50 44 .211/.271/.304 .093.282 66 27% 7% 58 -1.2 .248/.316/.343 .095.329 74 24% 9% 88 +0.9 .265/.339/.354.089.3476423%9%97+1.1
Alonzo Harris
2010 · A
21 41→50 45→55 50→60 37 .209/.251/.325 .116.281 1412 31% 5% 56 -1.3 .210/.248/.305 .095.275 815 26% 4% 48 -1.9 .240/.296/.401.161.286193522%7%92+0.9
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Francisco Cervelli
2007 · A
21 43→53 39→45 50→45 43 .205/.271/.292 .086.286 67 29% 7% 56 -1.3 .237/.314/.327 .090.313 45 24% 7% 83 +0.6 .252/.365/.369.117.31210420%13%113+1.6