Jason MatthewsSS Charlotte Knights
Age 29 R/R 5'11" / 187 lbs AAA BB +6%HR -6% Svc 0.0 · Ctrl thru 2033
wRC+†37
AVG/OBP/SLG.179 / .259 / .262
PA250
HR3
SB5
K%35
BB%8
MLB%10%
BAT: -17.8 runs (wOBA-derived runs vs avg)-18BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.7 runs (Positional adjustment)+3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.80-0.8WAR
Scouting · nowfuture
HIT
3030
PWR
3030
SPD
5050
EYE
4860
trajectory · 10 yrs
-0.6peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.2M
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-17M $-17M +$0.0M

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
202225 A+2 teams 480437 651412 2821010 62 .149.217.199.416 .050.276 446 .191 4 -52 +0 +0 +5 +14 -3.3
202326 A+3 teams 169146 17103 13818 62 .116.228.185.412 .068.219 488 .198 10 -17 +0 +0 +2 +5 -1.0
202427 AA2 teams 577519 82935 372159 144 .158.227.216.442 .058.255 376 .200 11 -58 +1 +0 +6 +16 -3.5
202528 AA2 teams 306267 49623 28966 83 .184.276.255.530 .071.272 319 .239 41 -20 +0 +0 +3 +9 -0.8
▸ 2026 Season (actual · ROS · total)
202629 AAACharlotte Knights 1714 0000 1101 11 .000.125.000.125 .000.000 596 .096 -68 -3 -0 +0 +0 +0 -0.3
ROS29 MLBCWS 233208 37513 19824 41 .178.260.255.515 .077.275 358 .243 44 -15 +0 +0 +2 +7 -0.5
TOT29 MLBCWS 250222 37513 20925 52 .167.251.239.490 .072.266 378 .233 37 -18 +0 +0 +3 +7 -0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 20%CWS 309276 52825 251055 51 .188.268.286.554 .098.276 348 .248 48 -18 +1 -2 +3 +9 -0.8
202831 MLB 33%CWS 314280 53825 261065 41 .189.270.286.556 .096.276 348 .250 50 -18 +0 -3 +3 +9 -0.8
202932 MLB 43%CWS 308276 51815 251044 31 .185.262.275.538 .091.275 348 .249 49 -18 +0 -4 +3 +9 -0.9
203033 MLB 52%CWS 287258 47714 23984 30 .182.260.264.523 .081.274 348 .246 47 -17 +1 -4 +3 +8 -1.0
203134 MLB 64%CWS 249224 40613 20873 20 .179.255.254.510 .076.273 358 .240 42 -16 +0 -5 +3 +7 -1.1
▸ Career Totals (MLE all levels + projections)
Career 32322891 493721438 244118458 5515 .171.249.245.494 .074.270 378 .227 32 -249 +5 -17 +35 +92 -13.8
/ 162G 650581 991438 4923812 113 .170.249.246.495 .076.268 378 .227 32 -50 +1 -4 +7 +18 -2.8

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
202225 A+Winston-Salem Dash 349301 631612 361109 61 .209.312.289.601 .080.319 3210 .280 73 -11 +1 +10 -0.0
202225 INTLAuckland Tuatara 131114 30605 14261 01 .263.349.447.796 .184.298 2011 .350 126 +4 -0 +4 0.7
202326 AAACharlotte Knights 1614 2001 250 00 .143.250.357.607 .214.125 3112 .274 68 -1 +0 +0 -0.0
202326 AABirmingham Barons 5043 9102 4183 10 .209.320.372.692 .163.304 368 .317 101 +0 +0 +1 0.2
202326 A+Winston-Salem Dash 10382 14101 14365 52 .171.327.220.546 .049.277 3514 .269 64 -4 +0 +3 -0.1
202427 AABirmingham Barons 418360 70834 431176 82 .194.291.267.558 .072.273 2810 .257 55 -21 +1 +12 -0.9
202427 INTLCanberra Cavalry 159137 401204 16363 62 .292.378.467.845 .175.371 2310 .370 141 +7 +0 +5 1.3
202528 AAACharlotte Knights 5243 15021 6172 10 .349.451.512.963 .163.560 3312 .420 179 +5 +0 +1 0.6
202528 AABirmingham Barons 254211 38702 35594 73 .180.308.242.550 .062.238 2314 .263 59 -12 +0 +7 -0.4

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
Jason Matthews (OGILVIE) 29 30 30 50 60 .179/.259/.262 .082.275 34 35% 8% 44 -0.9
Chris Rabago
2022 · AAA
29 40 40 47→55 44 .195/.262/.284 .089.273 913 30% 8% 50 -1.7 .197/.263/.291 .094.306 910 36% 7% 53 -1.5 .156/.228/.224.068.2655540%6%17-1.2
Roberto Baldoquin
2022 · AA
28 41 39→30 47→45 38 .200/.251/.285 .084.287 78 31% 5% 45 -2.1 .218/.292/.290 .072.281 57 22% 7% 65 -0.7 .204/.288/.235.031.2670221%7%45-0.8
Joe Hudson
2020 · AAA
29 38 44→45 47→40 40 .194/.247/.308 .114.270 124 32% 6% 50 -1.7 .198/.255/.324 .126.283 165 34% 7% 57 -1.2 .183/.287/.336.152.26122836%11%73-0.0
Gift Ngoepe
2019 · MLB
29 39→42 42→45 45→50 38 .187/.253/.295 .107.312 107 41% 8% 49 -1.8 .193/.261/.311 .118.350 1210 44% 8% 57 -1.2 .150/.222/.265.115.28714850%8%27-1.0
Erick Castillo
2022 · AAA
29 43 38→30 47→30 44 .207/.274/.279 .072.261 56 22% 6% 54 -1.4 .217/.277/.293 .076.275 67 22% 5% 59 -1.1 .220/.270/.235.015.2840021%3%37-0.6
Jason Delay
2023 · MLB
28 41 39→45 42→40 39 .202/.249/.290 .088.280 75 30% 5% 45 -2.1 .221/.277/.307 .086.290 55 24% 6% 62 -0.9 .215/.272/.281.066.2783222%6%49-0.6
Jake Wald
2010 · AAA
29 42→43 41→45 51→50 41 .203/.267/.304 .100.289 810 31% 7% 57 -1.2 .186/.250/.270 .084.313 68 39% 7% 41 -2.3 .127/.198/.171.044.2562247%8%-7-2.3
Pat Cantwell
2018 · AAA
28 40 37→30 44→40 38 .194/.249/.261 .067.271 58 29% 5% 38 -2.6 .228/.298/.336 .108.319 1010 30% 7% 79 +0.3 .258/.346/.397.139.33215625%8%112+0.7
Joseph Odom
2021 · MLB
29 41 41→45 45→30 37 .200/.249/.295 .095.302 94 36% 6% 46 -2.0 .200/.263/.319 .119.360 136 44% 7% 59 -1.1 .171/.242/.298.127.33515350%7%43-0.6
Pete Kozma
2017 · MLB
29 41→46 37→40 46→50 45 .196/.251/.265 .069.243 512 21% 6% 40 -2.4 .195/.244/.277 .082.246 610 22% 5% 40 -2.4 .191/.240/.281.091.2376622%5%37-1.7
Max McDowell
2023 · AAA
29 41→49 39→40 48→50 44 .195/.281/.280 .086.270 610 28% 8% 59 -1.1 .195/.278/.296 .101.279 126 32% 7% 61 -1.0 .172/.263/.263.091.25113135%7%45-0.8
Tyler Payne
2022 · AA
29 42 43→45 48→40 37 .209/.250/.322 .113.287 114 31% 4% 54 -1.4 .231/.271/.334 .103.320 85 29% 4% 66 -0.6 .238/.274/.333.095.3128225%4%62-0.3
Ali Solis
2018 · AAA
30 37 40→45 45→30 35 .188/.223/.275 .087.262 85 31% 4% 30 -3.1 .204/.240/.332 .128.284 156 33% 4% 53 -1.5 .196/.230/.353.157.24923332%4%51-1.0
Ryan Jorgensen
2008 · MLB
29 40 43→45 48→30 42 .203/.254/.306 .103.259 115 26% 6% 52 -1.6 .220/.268/.351 .131.283 156 27% 6% 69 -0.4 .214/.263/.359.146.27418029%6%67-0.2
Anderson Machado
2010 · AAA
29 39→43 39→40 53→45 50 .190/.270/.278 .088.256 614 27% 10% 52 -1.6 .205/.275/.294 .089.287 57 28% 9% 58 -1.2 .225/.294/.316.091.3262029%9%69-0.2
Dane Sardinha
2009 · MLB
30 34→32 42→45 49→30 36 .180/.219/.277 .098.240 114 30% 4% 30 -3.1 .181/.228/.286 .105.253 124 32% 5% 36 -2.7 .155/.214/.240.085.22210034%6%15-1.4
Brantley Bell
2023 · AAA
28 41→44 39→40 52→55 40 .201/.249/.287 .086.275 614 28% 5% 44 -2.1 .207/.256/.314 .107.324 916 37% 5% 55 -1.4 .164/.210/.247.083.29352544%5%16-0.7
Angelo Castellano
2023 · AAA
28 38→42 41→45 47→50 43 .193/.254/.284 .092.249 1012 26% 6% 46 -2.0 .221/.284/.356 .135.267 1614 23% 8% 78 +0.2 .228/.293/.382.154.263201522%8%85+0.3
Ryan Budde
2009 · MLB
29 41 43→45 47→40 40 .203/.257/.314 .110.269 108 28% 5% 56 -1.3 .196/.254/.290 .094.285 96 32% 7% 48 -1.9 .179/.247/.259.080.2718235%8%35-1.2
Eric Stamets
2022 · MLB
30 37→47 43→45 55→50 41 .189/.250/.298 .109.260 1114 31% 6% 49 -1.8 .188/.258/.305 .117.268 1313 33% 7% 55 -1.4 .146/.225/.246.100.213121636%6%24-1.3