Anyelo GonzalezC DSL Giants Black
Age 21 L/R 5'11" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.3 · 2032
wRC+67
AVG/OBP/SLG.215 / .281 / .319
PA61
HR1
K%27
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: +0.10+0.1WAR
trajectory · 10 yrs
2.3peak
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+2.3$22M+$21M
2033Ext / FA-deal$1.0M+2.2$22M+$21M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$3M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.4$15M+$10M
2037Ext / FA-deal$5M+1.1$12M+$7M
Totals $16M $110M +$94M

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 Giants Black 173157 35312 9455 32 .223.287.293.580 .070.295 265 .260 57 -8 -0 +0 +3 +5 -0.1
202419 ROKDSL Giants Black 10894 15310 10180 01 .160.240.213.453 .053.190 179 .203 14 -11 -0 +0 +2 +3 -0.6
▸ 2026 Season
202621 MLB 6155 11201 5161 10 .200.279.291.570 .091.287 268 .273 67 -2 +0 +0 +1 +2 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11% 116105 23412 9301 20 .219.287.333.620 .114.289 268 .291 81 -2 +0 +0 +2 +3 0.3
202823 MLB 28% 251225 52926 21633 41 .231.305.369.674 .138.290 258 .302 89 -3 +0 +0 +4 +7 0.9
202924 MLB 45% 349312 731329 30864 61 .234.309.375.684 .141.291 259 .309 94 -2 +1 +0 +6 +10 1.5
203025 MLB 60% 410367 8715312 361004 72 .237.312.392.704 .155.292 249 .313 98 -1 +1 +0 +7 +12 1.9
203126 MLB 77% 448400 9517313 401095 82 .237.315.393.707 .155.293 249 .315 100 -0 +1 +0 +8 +13 2.2
203227 MLB 92% 466416 9918313 421145 81 .238.315.389.705 .151.293 249 .315 100 -0 +1 +0 +8 +13 2.3
203328 MLB 474422 10018313 441175 71 .237.316.386.703 .149.292 259 .314 99 -1 +1 -1 +8 +13 2.2
203429 MLB 472420 9817313 441185 61 .233.313.381.694 .148.291 259 .312 97 -2 +1 -1 +8 +13 2.0
203530 MLB 466415 9717313 431185 50 .234.313.383.696 .149.290 259 .309 95 -3 +1 -2 +8 +13 1.8
203631 MLB 441393 9016212 411134 30 .229.308.372.680 .142.289 269 .305 92 -4 +1 -3 +8 +12 1.4
203732 MLB 413368 8415211 381084 10 .228.307.370.677 .141.287 269 .301 88 -5 +0 -4 +7 +12 1.1
203833 MLB 373332 741329 341004 00 .223.303.355.658 .133.286 279 .295 84 -7 +0 -4 +7 +11 0.6
203934 MLB 322287 621127 29893 00 .216.295.341.636 .125.284 289 .289 79 -8 +0 -5 +6 +9 0.2
204035 MLB 266238 49816 24762 00 .206.284.324.608 .118.282 299 .281 73 -8 +0 -6 +5 +8 -0.1
204136 MLB 210187 38614 19632 00 .203.284.310.594 .107.279 309 .272 67 -8 +0 -6 +4 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 58195193 118220535146 518148362 6112 .228.305.365.670 .137.288 259 .301 89 -75 +7 -31 +104 +165 17.3
/ 162G 650580 13223416 581667 71 .228.305.364.669 .136.289 269 .301 89 -8 +1 -4 +12 +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
202318 ROKDSL Giants Black 173151 44523 15325 32 .291.374.411.785 .119.347 189 .351 127 +5 -0 +5 1.0
202419 ROKDSL Giants Black 10888 17410 16120 01 .193.317.261.579 .068.215 1115 .266 62 -5 -0 +3 -0.2

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
Anyelo Gonzalez (OGILVIE) 21 .215/.281/.319 .104.287 11 27% 7% 67 -0.1
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
Randy Florentino
2021 · A
21 43 41→50 42→45 48 .206/.286/.310 .104.297 86 31% 10% 67 -0.5 .180/.241/.263 .083.269 85 34% 7% 36 -2.7 .183/.230/.260.077.2388426%5%28-1.0
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
TJ Friedl
2017 · A
21 48→53 42→50 51→55 42 .228/.286/.337 .109.309 810 28% 6% 73 -0.1 .226/.293/.326 .100.295 615 24% 7% 74 -0.1 .246/.337/.381.136.276151816%10%103+1.8
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
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
Carter Jensen
2023 · A
20 38→47 43→50 46→50 46 .188/.269/.299 .110.273 107 33% 10% 58 -1.2 .198/.288/.331 .133.275 139 30% 11% 74 -0.1 .206/.294/.357.151.275171030%11%81+0.4
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
Drake Baldwin
2023 · A
22 48→53 38→50 50→30 47 .220/.298/.300 .081.318 58 30% 9% 69 -0.4 .236/.307/.376 .140.295 163 24% 9% 93 +1.3 .265/.334/.430.166.29822119%9%118+1.8
Alek Thomas
2021 · A
21 50→52 42→50 48→50 43 .241/.293/.352 .111.314 810 25% 6% 79 +0.3 .243/.298/.388 .145.306 1311 24% 7% 92 +1.2 .243/.296/.389.146.295141122%6%87+0.7
Greg Garcia
2011 · A
21 46→53 40 45→50 43 .222/.277/.317 .095.275 78 22% 5% 65 -0.7 .237/.310/.330 .093.300 59 21% 8% 82 +0.5 .241/.350/.334.093.3086321%13%99+0.8
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
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
Rio Ruiz
2014 · A
20 44→52 44→50 50→40 45 .216/.273/.341 .124.279 108 26% 7% 69 -0.4 .232/.297/.343 .111.298 94 23% 8% 79 +0.3 .223/.289/.369.145.26517322%8%81+0.2
Colin Moran
2014 · A
21 48→57 43→55 50→30 45 .234/.283/.345 .110.286 106 22% 6% 74 -0.1 .246/.290/.349 .103.318 93 24% 6% 77 +0.1 .271/.332/.429.158.32419021%8%111+1.6
Ryan Kalish
2009 · A
21 48→51 39→50 50→55 45 .228/.286/.311 .083.303 612 26% 7% 66 -0.6 .241/.299/.373 .132.302 1419 24% 7% 89 +0.9 .245/.304/.385.141.300152423%7%91+0.8
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Hoy Park
2016 · A
20 41→50 41→45 47→55 46 .198/.271/.297 .099.267 810 28% 8% 57 -1.2 .198/.270/.283 .085.271 516 27% 8% 53 -1.5 .229/.318/.327.099.30091724%11%81+0.3
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