Matthew ClaytonC Fort Myers Mighty Mussels
Age 27 R/R 5'11" / 185 lbs A BB +3% Svc 0.0 · Ctrl thru 2036 peak 0.2 · 2028
wRC+†69
AVG/OBP/SLG.211 / .279 / .325
PA76
HR1
K%30
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: +0.10+0.1WAR
trajectory · 10 yrs
0.3peak
2028

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
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $1M $-4M -$6M

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
202425 A2 teams 135111 22402 104213 02 .198.336.288.624 .090.294 317 .298 86 -2 -1 +0 +2 +4 0.3
▸ 2026 Season
202627 MLBMIN 7670 15311 5221 10 .214.276.329.605 .114.290 297 .275 69 -3 +0 +0 +1 +2 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 7%MIN 116105 22412 8342 20 .210.278.324.602 .114.290 297 .279 72 -4 +0 -1 +2 +3 0.1
202829 MLB 18%MIN 198178 38714 15573 31 .213.286.331.617 .118.290 298 .280 73 -6 +0 -1 +4 +6 0.2
202930 MLB 27%MIN 256231 50925 19744 31 .216.287.338.625 .121.288 297 .279 72 -8 +0 -2 +5 +7 0.2
203031 MLB 39%MIN 267241 51925 20784 20 .212.283.328.611 .116.287 297 .277 70 -9 +0 -3 +5 +8 0.1
203132 MLB 53%MIN 261235 49915 20774 10 .209.282.319.601 .111.286 308 .272 66 -10 +0 -4 +5 +7 -0.1
203233 MLB 70%MIN 239216 44814 18723 00 .204.274.306.580 .102.284 308 .267 62 -10 +0 -4 +4 +7 -0.3
203334 MLB 88%MIN 202182 36613 15633 00 .198.270.291.561 .093.282 317 .261 58 -10 +0 -5 +4 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 17501569 327591031 13051937 124 .208.285.318.603 .110.288 307 .275 69 -62 +1 -20 +31 +50 0.1
/ 162G 650583 12222412 4819314 41 .209.285.322.608 .113.289 307 .275 69 -23 +0 -7 +12 +18 0.0

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
202425 A+Cedar Rapids Kernels 1615 3001 160 01 .200.250.400.650 .200.250 386 .287 78 -0 -0 +0 -0.0
202425 AFort Myers Mighty Mussels 11993 26502 122413 01 .280.432.398.830 .118.353 2010 .384 152 +7 -0 +3 1.0

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 Clayton (OGILVIE) 27 .211/.279/.325 .114.290 11 30% 7% 69 -0.1
Stevie Berman
2022 · AA
27 42 43→50 49→40 48 .208/.284/.316 .108.260 117 24% 8% 69 -0.4 .206/.292/.328 .122.270 135 27% 9% 76 +0.0 .190/.289/.313.123.25014128%10%69-0.1
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Chuckie Robinson
2022 · AA
27 40→50 45 47→45 40 .204/.266/.319 .115.281 138 31% 6% 61 -1.0 .228/.277/.351 .123.290 147 26% 5% 74 -0.1 .227/.276/.326.099.30112427%5%64-0.4
Davis Stoneburner
2012 · AA
27 47→48 44→45 51→50 42 .230/.284/.355 .125.290 1113 24% 5% 77 +0.1 .206/.262/.297 .091.279 615 27% 6% 53 -1.5 .168/.224/.225.057.24101728%5%15-2.4
Sean Jamieson
2016 · AA
27 49→46 43→45 46→50 43 .235/.294/.348 .113.314 1010 27% 6% 80 +0.4 .217/.276/.307 .090.324 78 33% 7% 62 -0.9 .182/.236/.235.053.3022038%6%22-1.2
David Sheaffer
2022 · AAA
27 43 44→55 49→40 38 .216/.260/.334 .118.297 126 31% 5% 62 -0.9 .198/.249/.294 .096.291 86 33% 6% 46 -2.0 .142/.197/.220.078.2166036%5%4-1.2
Devin Ivany
2009 · AA
27 45→48 43→50 47→45 40 .225/.266/.334 .109.281 119 24% 4% 64 -0.8 .222/.276/.351 .129.287 149 27% 6% 73 -0.1 .213/.270/.335.122.27513826%7%65-0.3
Shawn McGill
2011 · AA
27 47 44→45 53→45 40 .227/.276/.344 .117.308 1014 29% 6% 71 -0.3 .232/.281/.338 .106.285 99 21% 5% 71 -0.3 .234/.285/.334.100.2837619%5%68-0.2
Alex De Goti
2022 · AAA
27 42→46 43→45 49→50 43 .206/.269/.317 .110.278 108 28% 7% 61 -1.0 .201/.276/.293 .092.275 79 27% 9% 59 -1.1 .191/.273/.268.077.25961026%9%48-1.1
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Steve Moss
2011 · A
27 44→49 44→45 48→50 43 .217/.275/.333 .117.283 118 27% 6% 69 -0.4 .239/.302/.392 .153.322 1910 30% 7% 95 +1.4 .238/.320/.440.202.28628826%9%112+0.6
Wynston Sawyer
2018 · AA
26 46 42→45 45 46 .223/.294/.332 .110.289 97 25% 8% 76 +0.1 .221/.292/.327 .106.299 95 27% 7% 74 -0.1 .206/.283/.301.095.2867028%6%61-0.2
Cody Clark
2009 · AA
27 43 42→45 47→40 41 .214/.262/.317 .103.260 106 22% 4% 59 -1.1 .222/.270/.348 .126.258 145 20% 5% 70 -0.3 .219/.268/.341.122.25112118%5%64-0.3
David Vidal
2017 · A
27 45→47 41→50 48→30 44 .215/.275/.318 .102.296 87 29% 7% 64 -0.8 .229/.283/.347 .118.285 124 23% 6% 75 -0.0 .230/.290/.356.126.27814222%7%78+0.2
Justin Knoedler
2007 · AAA
27 44 41→45 47→45 40 .215/.267/.316 .102.291 79 28% 6% 59 -1.1 .203/.251/.329 .126.277 129 30% 5% 56 -1.3 .183/.233/.321.137.24513830%5%46-1.0
Arturo Rodriguez
2019 · AAA
27 45→41 43→45 46→30 43 .223/.266/.329 .107.272 125 23% 5% 63 -0.9 .258/.294/.402 .144.289 196 18% 4% 94 +1.3 .282/.311/.427.146.30523216%3%103+1.0
Sharlon Schoop
2014 · AA
27 43→44 45→40 46→45 43 .219/.272/.337 .119.277 138 26% 6% 68 -0.5 .212/.259/.296 .084.278 74 25% 6% 51 -1.7 .204/.257/.319.115.25912026%6%52-0.5
Kramer Robertson
2022 · AAA
27 44→51 45 50→55 51 .216/.300/.340 .124.266 1213 23% 9% 82 +0.5 .209/.308/.306 .097.274 922 25% 10% 77 +0.1 .191/.305/.263.072.26072626%11%62-0.8
Jason Delay
2021 · AA
26 41 44→45 49→40 38 .208/.261/.320 .112.286 136 32% 5% 59 -1.1 .205/.252/.302 .097.293 85 31% 5% 50 -1.8 .226/.285/.301.075.2973223%6%61-0.4
Seth Bynum
2008 · AA
27 44 40→55 47→50 42 .212/.267/.305 .093.283 89 27% 6% 57 -1.2 .219/.263/.362 .143.298 177 31% 5% 71 -0.3 .212/.256/.369.157.28620833%5%67-0.4