Matthew EllisC Everett AquaSox
Age 25 L/R 6'4" / 248 lbs A+ HR +3% Svc 0.0 · Ctrl thru 2035 peak 1.4 · 2028
wRC+†73
AVG/OBP/SLG.214 / .294 / .350
PA287
HR7
SB5
K%29
BB%9
MLB%0%
BAT: -8.6 runs (wOBA-derived runs vs avg)-9BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +5.1 runs (Positional adjustment)+5POSREP: +8.1 runs (Replacement-level credit)+8REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
4040
PWR
4545
SPD
4040
EYE
6160
trajectory · 10 yrs
1.4peak
2028

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+1.3$12M+$11M
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1M+0.6$3M+$2M
2034Ext / FA-deal$0.7M+0.3$2M+$0.9M
2035Ext / FA-deal$0.6M
Totals $5M $30M +$25M

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
202524 A2 teams 338291 5812111 391056 31 .199.307.361.667 .162.266 3112 .295 84 -6 +0 +0 +6 +10 1.0
▸ 2026 Season (actual · ROS · total)
202625 A+Everett AquaSox 4035 5001 5200 10 .143.250.229.479 .086.286 5012 .239 41 -3 +0 +0 +1 +1 -0.1
ROS25 MLBSEA 247219 45816 23773 41 .205.290.333.623 .128.288 319 .288 79 -6 +0 +0 +4 +7 0.6
TOT25 MLBSEA 287254 50817 28973 51 .197.284.319.603 .122.285 3410 .281 73 -9 +1 +0 +5 +8 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%SEA 314276 611119 32823 51 .221.309.366.675 .145.276 2610 .303 90 -4 +1 +0 +6 +9 1.2
202827 MLB 25%SEA 354311 6912210 36924 51 .222.311.370.680 .148.278 2610 .305 91 -3 +1 +0 +6 +10 1.4
202928 MLB 37%SEA 378333 7413211 38984 51 .222.309.372.682 .150.278 2610 .305 91 -4 +1 -1 +7 +11 1.4
203029 MLB 47%SEA 386340 7513211 391014 51 .221.308.368.676 .147.278 2610 .303 90 -4 +1 -1 +7 +11 1.3
203130 MLB 55%SEA 389342 7513211 401034 40 .219.308.365.674 .146.276 2610 .300 88 -5 +1 -2 +7 +11 1.1
203231 MLB 73%SEA 370325 7012210 381004 30 .215.305.357.662 .142.275 2710 .296 85 -6 +1 -3 +7 +10 0.9
203332 MLB 90%SEA 344303 641119 35943 30 .211.299.343.642 .132.273 2710 .291 81 -7 +1 -4 +6 +10 0.6
203433 MLBSEA 308271 561017 31873 30 .207.295.328.623 .122.271 2810 .286 77 -8 +1 -4 +6 +9 0.3
203534 MLBSEA 261231 47816 26762 20 .203.290.325.614 .121.269 2910 .279 72 -8 +0 -5 +5 +7 -0.1
203635 MLBSEA 209184 36614 21632 20 .196.285.304.589 .109.267 3010 .272 66 -8 +0 -6 +4 +6 -0.4
203736 MLBSEA 155138 26413 15481 20 .188.273.297.570 .109.264 3110 .263 60 -7 +0 -6 +3 +4 -0.6
▸ Career Totals (MLE all levels + projections)
Career 40533564 75613318108 413112643 466 .212.301.350.652 .138.276 2810 .294 83 -78 +7 -31 +72 +115 8.6
/ 162G 650572 12121317 661817 71 .212.301.348.649 .136.275 2810 .294 83 -12 +1 -5 +12 +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
202524 A+Everett AquaSox 7870 16501 6252 00 .229.308.343.651 .114.341 328 .298 86 -1 +0 +2 0.1
202524 AModesto Nuts 260202 481118 49544 31 .238.391.421.812 .183.282 2119 .365 137 +11 +0 +7 1.9

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
Matthew Ellis (OGILVIE) 25 40 45 40 60 .214/.294/.350 .137.286 74 29% 9% 82 +0.2
Hunter Feduccia
2022 · AA
25 44→47 45→50 45→40 48 .220/.287/.342 .122.280 134 26% 8% 76 +0.0 .217/.289/.360 .143.287 163 28% 9% 82 +0.5 .226/.315/.344.118.30411227%11%86+0.5
Chance Sisco
2020 · MLB
25 45→55 49→50 41→40 43 .224/.308/.369 .145.304 173 30% 8% 92 +1.2 .211/.305/.361 .150.284 174 30% 9% 89 +1.0 .177/.284/.310.133.24314031%10%65-0.2
Matt Lloyd
2021 · A
25 44→42 46→50 46→50 42 .218/.279/.349 .131.306 139 32% 7% 74 -0.1 .215/.282/.373 .158.319 207 37% 7% 82 +0.5 .214/.289/.352.138.288171230%9%78+0.1
Reese Havens
2012 · AA
25 46→40 49→45 43→40 46 .229/.301/.376 .147.301 165 28% 8% 91 +1.1 .210/.285/.326 .116.307 125 33% 9% 71 -0.3 .184/.269/.285.101.26812233%9%51-0.7
Greg Cullen
2022 · AA
25 45→42 42→40 42→40 50 .217/.304/.324 .107.280 104 25% 9% 79 +0.3 .236/.327/.346 .110.320 116 27% 11% 94 +1.3 .236/.337/.336.100.32111527%11%93+0.5
Zack Collins
2020 · MLB
25 39→42 50 47→40 49 .198/.295/.356 .158.297 183 37% 12% 84 +0.6 .205/.299/.358 .153.296 175 33% 11% 86 +0.8 .189/.282/.331.142.27816435%11%69-0.2
Terrin Vavra
2022 · AA
25 46 44→45 48→50 48 .227/.296/.347 .121.287 1112 24% 8% 81 +0.4 .250/.325/.358 .108.328 810 24% 9% 95 +1.4 .255/.330/.354.099.3347823%9%92+0.5
Ford Proctor
2022 · AA
25 46→50 44→45 43→45 48 .221/.301/.338 .117.304 127 29% 10% 81 +0.4 .204/.291/.311 .107.300 136 33% 10% 70 -0.3 .189/.283/.273.084.27411432%11%55-0.9
Emerson Frostad
2008 · AA
25 44→47 50 41→40 44 .225/.281/.377 .152.281 185 26% 7% 82 +0.5 .217/.273/.335 .118.282 115 26% 7% 68 -0.5 .213/.270/.312.099.2707223%7%58-0.7
Isan Díaz
2021 · MLB
25 41→40 50→55 45 43 .213/.280/.364 .151.286 188 31% 8% 79 +0.3 .209/.286/.369 .160.277 207 31% 9% 83 +0.6 .191/.269/.374.183.23328832%9%74-0.0
Sean Coughlin
2010 · AA
25 43→38 48→50 44→30 50 .221/.293/.364 .143.260 162 22% 8% 85 +0.7 .215/.278/.333 .118.269 134 24% 7% 69 -0.4 .180/.240/.267.087.2349226%6%34-1.3
Ian Rice
2019 · AA
25 41→40 50 43→30 49 .210/.297/.362 .152.281 193 31% 10% 86 +0.8 .197/.273/.304 .107.287 114 33% 8% 60 -1.0 .154/.226/.214.060.2315033%7%17-1.7
Travis Scott
2010 · A
25 44 51→55 47→40 44 .227/.282/.392 .165.287 194 28% 7% 87 +0.8 .216/.269/.354 .138.278 146 27% 6% 71 -0.3 .205/.261/.334.128.24017322%5%59-0.2
Frank Curreri
2007 · A
24 49 44→45 44→40 48 .235/.306/.356 .121.321 115 29% 9% 87 +0.8 .247/.320/.349 .102.319 86 23% 10% 91 +1.1 .252/.328/.346.094.3157521%10%91+0.7
Ryan Schimpf
2013 · AA
25 39 50→60 48→45 43 .204/.276/.365 .162.275 177 32% 8% 78 +0.2 .196/.274/.375 .179.254 224 31% 9% 80 +0.4 .201/.284/.419.218.23528228%9%91+0.9
Tyler Ogle
2016 · A
25 43→44 49→50 37→30 52 .219/.302/.365 .146.262 173 24% 10% 89 +0.9 .213/.280/.353 .140.273 164 27% 7% 76 +0.1 .174/.242/.295.122.21913027%6%44-0.5
Kenny Holmberg
2008 · A
25 45 48→50 41→40 49 .230/.296/.371 .141.270 174 22% 8% 87 +0.8 .209/.295/.296 .087.269 74 23% 9% 68 -0.5 .179/.291/.209.030.2450123%11%44-1.2
Peter Maris
2019 · AA
25 48→51 45 46→50 49 .236/.294/.363 .127.277 139 20% 8% 84 +0.6 .217/.275/.348 .131.281 149 27% 7% 72 -0.2 .200/.255/.326.126.26514630%6%55-0.6
Logan Johnson
2009 · A
25 45 46→50 45→30 43 .224/.295/.353 .129.279 144 25% 6% 82 +0.5 .227/.298/.368 .141.286 163 26% 6% 89 +0.9 .221/.300/.369.147.27918026%6%87+0.3
Devin Mann
2022 · AA
25 40→45 51→55 43→45 43 .211/.284/.372 .161.275 197 30% 7% 83 +0.6 .217/.298/.374 .157.285 175 29% 9% 89 +1.0 .215/.298/.370.155.28118329%9%85+0.5