Tres GonzalezOF Altoona Curve
Age 25 L/L 5'11" / 185 lbs AA BB +7% Svc 0.0 · Ctrl thru 2034
wRC+†62
AVG/OBP/SLG.217 / .289 / .284
PA280
HR3
SB5
K%25
BB%8
MLB%2%
BAT: -12.0 runs (wOBA-derived runs vs avg)-12BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.7 runs (Positional adjustment)-2POSREP: +7.9 runs (Replacement-level credit)+8REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
4040
EYE
4450
trajectory · 10 yrs
-0.3peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $-6M $-24M -$18M

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
202221 ABradenton Marauders 9282 25410 7173 71 .305.380.378.758 .073.385 188 .323 105 +1 +1 +0 -1 +3 0.4
202322 A+2 teams 531463 1141807 501257 288 .246.329.330.659 .084.319 249 .291 81 -12 +2 +0 -3 +15 0.3
202423 AAAltoona Curve 363331 72800 19997 108 .218.275.242.516 .024.309 275 .231 35 -27 -1 +0 -2 +10 -2.0
202524 AA2 teams 295261 57801 24756 23 .218.299.261.560 .042.299 258 .258 55 -15 -1 +0 -2 +8 -0.9
▸ 2026 Season
202625 MLBPIT 280252 55803 22714 53 .218.291.286.577 .067.291 258 .266 62 -12 -0 +0 -2 +8 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 11%PIT 320286 651014 26805 53 .227.303.311.614 .084.292 258 .277 70 -11 -0 +0 -2 +9 -0.4
202827 MLB 26%PIT 356319 721115 29895 63 .226.300.313.614 .088.292 258 .281 73 -11 +0 +0 -2 +10 -0.3
202928 MLB 38%PIT 378339 771216 31955 53 .227.301.322.623 .094.292 258 .282 74 -11 -0 -1 -2 +11 -0.4
203029 MLB 47%PIT 384344 771216 32975 53 .224.299.317.616 .093.291 258 .281 73 -12 -0 -1 -2 +11 -0.5
203130 MLB 56%PIT 387347 771216 32995 43 .222.297.314.611 .092.290 268 .278 71 -13 -0 -2 -2 +11 -0.7
203231 MLB 73%PIT 377338 741215 31985 32 .219.294.305.599 .086.289 268 .274 68 -14 -0 -3 -2 +11 -0.9
203332 MLB 91%PIT 361323 701115 30965 22 .217.293.303.597 .087.287 278 .269 64 -15 -0 -4 -2 +10 -1.1
203433 MLBPIT 333299 631004 27914 15 .211.285.284.569 .074.286 278 .264 60 -15 -2 -4 -2 +9 -1.4
203534 MLBPIT 290260 53803 24824 111 .204.281.269.550 .065.284 288 .258 56 -15 -4 -5 -2 +8 -1.7
▸ Career Totals (MLE all levels + projections)
Career 47474244 951144855 384121470 8458 .224.299.301.600 .077.299 268 .272 66 -180 -6 -20 -28 +134 -10.2
/ 162G 650581 1312018 5316610 128 .225.301.305.606 .079.300 268 .272 66 -25 -1 -3 -4 +18 -1.4

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
202221 ABradenton Marauders 9280 26410 9123 71 .325.413.400.813 .075.382 1310 .372 143 +4 +1 +3 0.8
202322 A+Greensboro Grasshoppers 449366 1051808 65847 228 .287.404.402.806 .115.349 1914 .360 134 +17 +1 +13 3.2
202322 ABradenton Marauders 8267 20401 15110 60 .299.427.403.830 .104.345 1318 .381 150 +5 +1 +2 0.8
202423 AAAltoona Curve 363322 77910 28757 108 .239.314.273.587 .034.310 218 .271 66 -14 -1 +10 -0.5
202524 AAAltoona Curve 270228 561001 32496 03 .246.353.303.656 .057.306 1812 .305 92 -3 -1 +8 0.4
202524 A+Greensboro Grasshoppers 2521 6000 470 20 .286.400.286.686 .000.429 2816 .329 110 +0 +0 +1 0.1

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
Tres Gonzalez (OGILVIE) 25 45 25 40 50 .217/.289/.284 .067.291 35 25% 8% 62 -0.4
Forrestt Allday
2016 · AA
25 48→47 36→30 40→50 48 .222/.302/.286 .064.298 49 25% 8% 68 -0.5 .230/.306/.288 .058.291 311 20% 8% 69 -0.4 .231/.309/.280.049.28721319%8%66-0.4
Chase Calabuig
2021 · AA
25 48→56 37→40 45 48 .223/.296/.294 .072.305 57 27% 9% 66 -0.6 .228/.293/.329 .101.281 95 21% 8% 75 -0.0 .238/.302/.350.112.28110318%8%80+0.2
Ernie De La Trinidad
2021 · AA
25 46→54 40 38→40 46 .224/.289/.313 .089.281 85 23% 7% 69 -0.4 .219/.282/.330 .111.309 117 31% 5% 71 -0.3 .213/.279/.324.111.30413532%5%65-0.4
Oscar Harper
2015 · AAA
24 50 36→30 45→50 46 .233/.298/.298 .065.308 414 24% 7% 68 -0.5 .211/.269/.294 .083.288 712 28% 7% 55 -1.4 .164/.223/.208.044.2304729%6%10-1.1
John Mora
2018 · AAA
25 47→48 39→40 47→50 46 .222/.281/.312 .089.287 510 24% 7% 64 -0.8 .214/.269/.308 .094.295 69 28% 6% 58 -1.2 .201/.256/.306.105.2786529%6%50-1.1
Adam Melker
2013 · AA
25 47 39→40 46→50 43 .227/.281/.311 .084.299 79 26% 6% 64 -0.8 .231/.277/.328 .097.296 1011 24% 5% 67 -0.5 .232/.276/.325.092.292101323%4%63-0.5
Ender Chavez
2006 · A
25 47→48 36→30 46→55 44 .223/.272/.290 .067.284 412 22% 6% 54 -1.4 .233/.303/.293 .060.297 316 20% 9% 69 -0.4 .242/.327/.288.045.30511919%10%75-0.0
Carlos Penuelas
2013 · AAA
25 46 41→30 45→50 41 .224/.264/.318 .094.285 89 24% 5% 58 -1.2 .246/.294/.326 .080.306 610 20% 6% 73 -0.1 .269/.316/.325.056.33131219%5%78+0.1
Josh Fellhauer
2013 · AA
25 52→53 38→40 41→45 47 .246/.301/.328 .083.305 57 20% 7% 77 +0.1 .241/.304/.323 .082.321 57 24% 8% 77 +0.1 .226/.293/.299.073.3114726%8%63-0.4
Francisco Ferreiro
2019 · AAA
25 46→53 41→40 46→45 42 .222/.264/.323 .101.277 711 22% 5% 60 -1.0 .239/.280/.334 .095.308 68 23% 5% 69 -0.4 .250/.289/.337.087.3234523%5%70-0.3
Nick Shaw
2014 · AA
25 47→55 36→40 44→45 51 .220/.290/.284 .064.275 37 20% 8% 61 -1.0 .221/.294/.278 .057.289 28 22% 9% 62 -0.9 .219/.297/.265.046.2940723%9%58-0.6
Jake Thomas
2017 · A
24 43 37→30 48→50 46 .203/.273/.276 .073.280 48 27% 8% 53 -1.5 .213/.304/.285 .072.317 39 30% 11% 69 -0.4 .212/.328/.269.058.32711030%14%72-0.1
Nolan Fontana
2017 · AAA
26 41→43 37→40 40→50 47 .193/.273/.270 .077.281 47 31% 9% 51 -1.7 .195/.282/.304 .109.273 911 29% 10% 65 -0.7 .184/.288/.306.123.253101229%12%68-0.2
Devyn Bolasky
2018 · AAA
25 46 37→30 46→45 45 .217/.266/.297 .080.265 48 19% 6% 54 -1.4 .245/.292/.320 .075.292 36 16% 5% 70 -0.3 .292/.338/.340.048.3310211%5%90+0.5
Wade Robinson
2006 · AA
25 46→47 36→30 41→50 41 .220/.260/.279 .059.287 412 24% 5% 46 -2.0 .227/.262/.280 .053.294 410 23% 5% 47 -1.9 .235/.264/.262.027.2991821%4%40-0.8
Cole Sturgeon
2017 · AA
25 47→49 38→45 43→50 40 .226/.258/.305 .079.273 59 20% 4% 52 -1.6 .233/.274/.329 .096.297 811 23% 5% 66 -0.6 .237/.283/.339.102.309101225%5%69-0.3
Dustin DeMuth
2016 · A
25 49→53 39→40 40 42 .231/.287/.314 .083.304 65 25% 5% 68 -0.5 .227/.285/.317 .090.339 65 33% 5% 68 -0.5 .221/.282/.312.090.3486435%5%63-0.7
Yoel Yanqui
2021 · A
25 47→53 40 49→50 43 .227/.280/.321 .094.304 712 27% 7% 66 -0.6 .211/.274/.327 .116.308 129 33% 8% 66 -0.6 .194/.262/.307.113.28113634%8%53-0.8
Cesar Del Angel
2015 · AAA
24 46 37→30 38→30 43 .221/.273/.295 .075.286 56 24% 6% 56 -1.3 .209/.255/.290 .081.279 69 26% 5% 48 -1.9 .166/.202/.200.034.23231029%3%1-0.9
Mitchell Tolman
2019 · A
25 44→47 40→45 45→50 48 .211/.286/.301 .089.282 79 26% 8% 65 -0.7 .212/.281/.308 .096.301 89 30% 8% 65 -0.7 .215/.285/.332.118.28411827%7%70-0.2