Fernando GonzalezC San Jose Giants
Age 24 R/R 5'10" / 205 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 1.0 · 2029
wRC+†60
AVG/OBP/SLG.213 / .277 / .328
PA101
HR2
K%29
BB%7
MLB%0%
BAT: -4.6 runs (wOBA-derived runs vs avg)-5BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.8 runs (Positional adjustment)+2POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
1.0peak
2029

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
2031Arb-3$0.9M+0.9$4M+$3M
2032Ext / FA-deal$0.9M+0.8$4M+$3M
2033Ext / FA-deal$1.0M+0.5$2M+$1M
2034Ext / FA-deal$0.2M+0.2$1M+$0.8M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $9M +$5M

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
202523 ASan Jose Giants 114101 16302 9314 00 .158.254.248.502 .089.206 278 .233 37 -8 +0 +0 +2 +3 -0.3
▸ 2026 Season (actual · ROS · total)
202624 ASan Jose Giants 2321 5100 011 00 .238.273.286.558 .048.238 40 .226 31 -2 +0 +0 +0 +1 -0.1
ROS24 MLBSF 7872 16311 5231 10 .222.282.333.615 .111.289 296 .275 68 -3 +0 +0 +1 +2 0.1
TOT24 MLBSF 10193 21411 5242 10 .226.280.323.603 .097.290 245 .264 60 -5 +0 +0 +2 +3 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%SF 174157 35614 13492 31 .223.291.350.641 .127.291 287 .286 77 -4 +0 +0 +3 +5 0.4
202826 MLB 25%SF 268242 551027 21743 41 .227.297.372.669 .145.292 288 .293 83 -5 +0 +0 +5 +8 0.8
202927 MLB 42%SF 321289 661228 25884 51 .228.299.367.666 .138.292 278 .295 84 -6 +1 +0 +6 +9 1.0
203028 MLB 52%SF 354319 721329 28984 51 .226.296.364.660 .138.292 288 .294 83 -7 +1 -1 +6 +10 1.0
203129 MLB 63%SF 368332 741329 291024 51 .223.293.355.649 .133.291 288 .292 82 -8 +1 -1 +7 +10 0.9
203230 MLB 72%SF 376339 741329 301064 40 .218.290.348.638 .130.290 288 .289 79 -9 +1 -2 +7 +11 0.8
203331 MLB 81%SF 359323 701228 291034 20 .217.289.341.630 .124.288 298 .285 77 -9 +0 -3 +6 +10 0.5
203432 MLB 87%SF 335302 641127 27983 10 .212.283.331.614 .119.287 298 .281 73 -10 +0 -4 +6 +9 0.2
203533 MLBSF 300270 571026 24893 00 .211.283.330.612 .119.285 308 .275 69 -11 +0 -4 +5 +8 -0.1
203634 MLBSF 253229 47815 20782 00 .205.275.314.589 .109.284 318 .269 64 -10 +0 -5 +5 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 33002975 6461141975 26093938 305 .217.288.344.632 .127.289 288 .284 76 -90 +4 -20 +59 +94 4.8
/ 162G 650586 12722415 511857 61 .217.287.345.632 .128.288 288 .284 76 -18 +1 -4 +12 +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
202523 ASan Jose Giants 11496 22503 14224 00 .229.351.375.726 .146.268 1912 .334 114 +2 +0 +3 0.5

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
Fernando Gonzalez (OGILVIE) 24 .213/.277/.328 .115.289 22 29% 7% 68 -0.1
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Jake Rogers
2019 · AA
24 38→40 47→55 48→45 41 .196/.261/.330 .133.269 159 32% 7% 62 -0.9 .203/.278/.366 .163.280 206 33% 8% 79 +0.3 .206/.283/.412.206.26529133%8%91+0.6
Sicnarf Loopstok
2017 · A
24 43→37 43→50 50 38 .211/.270/.324 .114.293 1012 30% 5% 64 -0.8 .213/.281/.365 .152.300 189 34% 7% 80 +0.4 .204/.280/.377.174.28122734%7%84+0.4
Carlos Narváez
2023 · A
24 36→45 47→50 47→45 43 .185/.270/.313 .127.285 156 38% 9% 63 -0.9 .206/.289/.337 .131.291 157 32% 9% 76 +0.1 .215/.298/.353.138.28816629%9%82+0.3
Luis Santana
2023 · A
24 44 45 48→50 42 .218/.280/.341 .124.281 1311 27% 6% 73 -0.1 .212/.267/.334 .122.269 147 26% 5% 66 -0.6 .195/.248/.310.116.24115525%5%48-1.0
Andrew Navigato
2022 · AA
24 41→40 44→60 46→50 44 .202/.279/.318 .116.282 1212 31% 8% 67 -0.5 .221/.280/.382 .161.276 1914 27% 6% 84 +0.6 .220/.279/.406.186.266231726%6%87+0.6
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4
John Hester
2008 · A
24 42 46→55 47→50 41 .214/.264/.343 .130.284 137 29% 6% 66 -0.6 .236/.277/.386 .150.310 149 28% 5% 82 +0.5 .249/.292/.416.167.322151027%5%94+0.7
Cody Cipriano
2009 · A
24 40→48 45 55→45 45 .200/.270/.330 .131.263 1211 28% 8% 66 -0.6 .219/.288/.332 .113.309 98 30% 8% 73 -0.1 .225/.299/.333.108.3198729%8%76+0.0
Carson Blair
2014 · A
24 38 44→50 45→30 40 .187/.254/.308 .121.292 116 38% 8% 53 -1.5 .202/.276/.338 .136.333 134 40% 9% 70 -0.3 .191/.269/.325.133.31814141%9%62-0.4
Xorge Carrillo
2013 · A
24 42 43→40 50→30 41 .211/.258/.321 .110.276 118 28% 6% 57 -1.2 .240/.292/.325 .085.299 74 21% 5% 72 -0.2 .242/.299/.328.086.2898118%5%74-0.0
Christian Koss
2022 · A
24 42→45 48→50 50 39 .219/.264/.360 .141.282 179 29% 5% 71 -0.3 .221/.265/.349 .128.298 1414 30% 4% 68 -0.5 .231/.280/.347.116.296101825%5%70-0.1
Brett Harris
2022 · A
24 45→50 45 49→50 43 .220/.290/.339 .119.296 1211 29% 7% 76 +0.1 .239/.311/.381 .142.289 1610 22% 8% 96 +1.5 .236/.316/.369.133.28415922%8%91+0.9
Vito Friscia
2021 · A
24 43 40→45 49→40 42 .208/.266/.303 .094.290 75 30% 7% 56 -1.3 .211/.293/.327 .116.322 124 35% 10% 75 -0.0 .200/.291/.320.120.30413235%10%71-0.2
Andre Lipcius
2022 · AA
24 43→50 44→50 48→45 46 .215/.274/.331 .116.276 117 26% 8% 67 -0.5 .231/.302/.363 .132.287 148 23% 9% 87 +0.8 .231/.303/.365.135.28616724%9%86+0.7
Jake Slaughter
2021 · A
24 46 40→55 49→55 42 .223/.274/.317 .094.292 87 26% 6% 63 -0.8 .217/.280/.339 .122.313 1419 33% 6% 72 -0.2 .220/.293/.382.162.298212532%7%86+0.6
Dusty Brown
2006 · A
24 43 45 45→30 45 .216/.279/.338 .121.284 135 28% 8% 71 -0.3 .216/.272/.333 .117.286 123 27% 7% 66 -0.6 .229/.292/.341.112.30912028%7%75-0.0
Tim Tawa
2023 · AA
24 42→43 46→50 49→50 46 .211/.275/.332 .121.266 1412 26% 8% 68 -0.5 .209/.273/.344 .135.272 1611 28% 8% 71 -0.3 .204/.271/.351.147.261181228%8%69-0.3
Miguel Amaya
2022 · AA
23 42 44→50 49→40 49 .210/.296/.330 .120.268 127 25% 9% 78 +0.2 .225/.309/.364 .139.303 155 29% 8% 92 +1.2 .233/.304/.378.146.27816122%7%91+0.5
Chase Strumpf
2022 · AA
24 42→35 44→50 48→45 44 .203/.282/.321 .118.296 117 33% 8% 69 -0.4 .196/.293/.355 .159.317 195 41% 10% 83 +0.6 .180/.284/.345.165.29321342%11%73-0.1