Anthony DonofrioOF Everett AquaSox
Age 26 L/R 6'3" / 195 lbs A+ HR +3% Svc 0.0 · Ctrl thru 2035
wRC+†42
AVG/OBP/SLG.189 / .264 / .307
PA136
HR3
SB7
K%36
BB%8
MLB%0%
BAT: -8.9 runs (wOBA-derived runs vs avg)-9BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.8 runs (Positional adjustment)-1POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
3535
PWR
4040
SPD
5050
EYE
5150
trajectory · 10 yrs
-0.2peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Extbeyond projection horizon · no WAR estimate
Totals $-6M $-26M -$20M

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
202424 AModesto Nuts 7969 15410 9200 50 .217.308.304.612 .087.300 2511 .273 67 -3 +1 +0 -0 +2 -0.0
202525 A+Everett AquaSox 330298 451504 251435 100 .151.229.242.470 .091.268 438 .214 22 -29 +2 +0 -2 +9 -2.0
▸ 2026 Season (actual · ROS · total)
202626 A+Everett AquaSox 3530 4000 5100 41 .133.257.133.390 .000.200 2914 .188 2 -4 +0 +0 -0 +1 -0.3
ROS26 MLBSEA 10190 16302 9361 31 .178.260.278.538 .100.281 369 .258 56 -5 +0 +0 -1 +3 -0.3
TOT26 MLBSEA 136120 20302 14461 72 .167.259.242.501 .075.247 3410 .240 42 -9 +1 +0 -1 +4 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%SEA 144128 25513 14461 31 .195.280.320.600 .125.275 3210 .269 64 -6 +0 +0 -1 +4 -0.2
202828 MLB 20%SEA 234208 41815 22742 51 .197.280.317.597 .120.276 329 .272 67 -9 +1 -1 -1 +7 -0.4
202929 MLB 33%SEA 288256 501016 27913 51 .195.280.312.592 .117.276 329 .273 67 -11 +1 -1 -2 +8 -0.5
203030 MLB 43%SEA 322285 561117 311023 61 .196.282.316.598 .119.275 3210 .271 66 -12 +1 -2 -2 +9 -0.7
203131 MLB 57%SEA 332294 571117 321063 50 .194.280.310.589 .116.273 3210 .267 63 -14 +1 -3 -2 +9 -0.9
203232 MLB 75%SEA 329292 551116 311073 50 .188.273.295.568 .106.272 339 .263 59 -15 +1 -4 -2 +9 -1.1
203333 MLB 92%SEA 309274 511016 291033 40 .186.271.296.567 .109.270 339 .257 55 -16 +1 -4 -2 +9 -1.2
203434 MLBSEA 271242 45915 25922 40 .186.268.293.561 .107.268 349 .251 50 -15 +1 -5 -2 +8 -1.4
▸ Career Totals (MLE all levels + projections)
Career 27392436 45697951 25492026 555 .187.271.297.568 .110.273 349 .259 56 -135 +9 -20 -16 +78 -8.6
/ 162G 650578 10823212 602186 131 .187.270.296.566 .109.273 349 .259 56 -32 +2 -5 -4 +18 -2.0

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
202424 AModesto Nuts 7965 17520 13150 50 .262.385.400.785 .138.333 1916 .352 127 +2 +1 +2 0.6
202525 A+Everett AquaSox 330283 652306 40975 100 .230.335.375.710 .145.324 2912 .322 104 +2 +2 +9 1.3

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
Anthony Donofrio (OGILVIE) 26 35 40 50 50 .189/.264/.307 .118.287 33 36% 8% 58 -0.3
Mark Contreras
2021 · AA
26 36→38 44→50 47→55 38 .183/.247/.298 .115.269 1113 35% 6% 48 -1.9 .201/.262/.346 .145.292 1719 36% 6% 66 -0.6 .199/.260/.339.140.286172435%6%61-0.7
Justin Toerner
2023 · AAA
26 39 43→45 48→50 44 .190/.284/.298 .108.293 1110 36% 9% 65 -0.7 .190/.283/.309 .119.284 1311 35% 10% 66 -0.6 .126/.240/.244.118.17215935%12%32-1.0
Shane Matheny
2022 · AA
26 38→42 43→45 47→50 39 .187/.250/.294 .107.292 116 38% 7% 48 -1.9 .201/.285/.328 .127.324 149 38% 10% 72 -0.2 .191/.281/.316.125.30014938%10%64-0.5
Ryan Aguilar
2021 · AA
26 40→41 42→45 49→50 41 .190/.265/.290 .099.310 98 39% 8% 53 -1.5 .191/.282/.312 .121.320 1413 41% 10% 67 -0.5 .176/.277/.309.133.286161441%11%61-0.5
Seth Fortenberry
2010 · AA
26 37→43 44→45 51→50 42 .188/.261/.308 .120.276 1210 35% 8% 56 -1.3 .189/.254/.290 .101.308 79 38% 7% 48 -1.9 .160/.216/.252.092.3000444%7%17-0.7
Jackson Cluff
2023 · AA
26 36→29 40→45 48→55 36 .179/.243/.270 .091.285 811 38% 6% 39 -2.5 .186/.268/.305 .119.285 1220 36% 9% 59 -1.1 .181/.273/.314.132.266142835%10%61-0.6
Drew Vettleson
2017 · AA
26 37→47 44→45 49→50 33 .189/.226/.300 .111.290 1210 38% 5% 38 -2.6 .193/.233/.301 .108.315 1213 41% 5% 42 -2.3 .136/.157/.214.079.232122147%2%-17-1.1
Devin Foyle
2022 · AA
25 40→37 46→45 48→45 44 .205/.275/.336 .132.274 1411 30% 8% 69 -0.4 .212/.284/.329 .117.274 127 26% 8% 71 -0.3 .192/.282/.265.072.2456022%10%51-0.6
Daniel Amaral
2023 · AA
26 41 47→40 48→55 41 .209/.268/.341 .133.288 1514 32% 7% 68 -0.5 .231/.302/.338 .107.302 928 25% 8% 81 +0.4 .241/.322/.332.091.31264822%9%85+0.3
Brenden Webb
2015 · A
25 36→37 44→45 48→50 39 .180/.250/.300 .120.295 129 41% 8% 50 -1.8 .191/.245/.294 .103.301 1012 38% 6% 45 -2.1 .184/.232/.281.097.278111637%5%33-1.8
Shayne Fontana
2023 · AAA
26 41 44→45 45→55 45 .202/.287/.319 .117.301 138 35% 9% 71 -0.3 .224/.301/.331 .107.295 1018 26% 8% 79 +0.3 .230/.306/.325.095.29092522%7%76+0.1
Will Toffey
2021 · AA
26 43 43→45 46→50 49 .208/.295/.324 .116.301 107 32% 10% 75 -0.0 .202/.286/.331 .129.342 1312 41% 9% 73 -0.1 .185/.274/.320.135.321131343%9%62-0.4
Gabe Snyder
2021 · A
26 41→37 47→50 45→40 42 .208/.270/.338 .131.276 155 30% 7% 68 -0.5 .211/.284/.355 .144.299 158 32% 8% 79 +0.3 .173/.267/.342.169.23518734%10%65-0.2
Greg Deichmann
2021 · AA
26 36→46 46→50 51→50 37 .185/.244/.308 .124.294 1415 40% 7% 49 -1.8 .209/.272/.330 .121.313 1214 34% 8% 66 -0.6 .199/.262/.329.130.294141535%7%58-0.7
Ross Adolph
2022 · AA
25 41→33 44→45 44→50 39 .192/.273/.308 .117.318 128 40% 8% 62 -0.9 .208/.312/.331 .123.364 1211 42% 10% 85 +0.7 .191/.333/.297.106.35891641%13%84+0.3
Connor Panas
2019 · AA
26 41→42 47→45 45→40 41 .208/.272/.337 .129.274 155 29% 6% 69 -0.4 .214/.278/.342 .128.278 138 27% 6% 72 -0.2 .177/.265/.331.155.21616626%8%60-0.2
Seth Gray
2023 · AA
25 38 44→45 47→50 38 .186/.263/.294 .108.300 138 40% 7% 54 -1.4 .205/.282/.312 .107.343 1213 40% 8% 66 -0.6 .202/.287/.300.098.353111941%9%62-0.5
Ian Bladergroen
2009 · A
26 43→41 44→45 49→30 40 .207/.281/.324 .118.297 115 32% 6% 69 -0.4 .216/.269/.349 .133.270 135 24% 6% 69 -0.4 .207/.258/.351.144.25114124%5%64-0.5
Chase Pinder
2022 · AA
26 38 42→45 43→45 44 .190/.273/.285 .095.272 105 32% 8% 56 -1.3 .226/.321/.370 .144.293 1510 26% 11% 98 +1.6 .221/.324/.370.149.286161127%12%97+0.8
Bobby Kingsbury
2007 · A
26 42 45→50 47→50 44 .210/.277/.340 .130.280 128 29% 7% 71 -0.3 .217/.273/.342 .125.275 1212 25% 6% 69 -0.4 .211/.266/.341.130.260121423%6%65-0.5