Seaver KingSS Harrisburg Senators
Age 23 R/R 6'0" / 195 lbs AA HR -9% Svc 0.0 · Ctrl thru 2034 peak 0.6 · 2029
wRC+†82
AVG/OBP/SLG.217 / .264 / .321
PA320
HR5
SB11
K%27
BB%5
MLB%2%
BAT: -6.3 runs (wOBA-derived runs vs avg)-6BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: -1.6 runs (Defensive runs vs avg)-2FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
3046
PWR
4045
SPD
6066
FLD
3048
EYE
4030
trajectory · 10 yrs
1.0peak
2029

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+0.6$3M+$2M
2030Arb-2$0.9M+0.6$3M+$2M
2031Arb-3$0.9M+0.5$2M+$1M
2032Ext / FA-deal$0.8M+0.4$2M+$1M
2033Ext / FA-deal$0.7M+0.1$0.5M-$0.2M
2034Ext / FA-deal$0.6M
Totals $5M $10M +$5M

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
202421 AFredericksburg Nationals 9082 22120 5181 101 .268.318.329.647 .061.333 206 .284 76 -2 +2 +0 +1 +3 0.3
202522 AA3 teams 630587 1282056 251749 364 .218.261.300.561 .082.296 284 .243 44 -40 +6 +0 +7 +18 -1.0
▸ 2026 Season (actual · ROS · total)
202623 AAHarrisburg Senators 8369 17403 10241 34 .246.350.435.785 .188.311 2912 .343 121 +2 -1 +0 +1 +2 0.4
ROS23 MLBWSH 237218 48815 15652 83 .220.277.335.611 .115.290 276 .276 69 -8 +0 -2 +3 +7 -0.0
TOT23 MLBWSH 320287 651218 25893 117 .226.295.359.654 .132.294 288 .293 82 -6 -1 -2 +3 +9 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%WSH 480440 9817310 321155 156 .223.283.343.626 .120.276 247 .279 72 -15 +1 -3 +5 +14 0.1
202825 MLB 26%WSH 507461 10418311 361205 156 .226.289.349.638 .124.279 247 .287 77 -13 +1 -3 +5 +14 0.4
202926 MLB 44%WSH 522474 10819312 381235 156 .228.292.357.649 .129.280 247 .290 80 -12 +1 -3 +6 +15 0.6
203027 MLB 59%WSH 527478 10919312 391255 156 .228.293.356.649 .128.280 247 .291 81 -11 +1 -4 +6 +15 0.6
203128 MLB 69%WSH 525476 10819312 391255 145 .227.292.355.647 .128.280 247 .290 80 -12 +1 -4 +6 +15 0.5
203229 MLB 77%WSH 518469 10618312 391255 145 .226.292.354.646 .128.279 248 .288 79 -13 +1 -5 +6 +15 0.4
203330 MLB 85%WSH 508459 10318311 391245 135 .224.292.349.641 .124.277 248 .285 76 -14 +1 -5 +5 +14 0.1
203431 MLB 91%WSH 495450 9817310 371235 114 .218.285.336.620 .118.276 257 .281 73 -15 +1 -6 +5 +14 -0.1
203532 MLBWSH 477434 921629 361214 104 .212.278.320.599 .108.275 258 .276 70 -16 +0 -7 +5 +14 -0.4
203633 MLBWSH 448407 861528 341174 103 .211.279.317.596 .106.273 268 .271 66 -17 +1 -7 +5 +13 -0.6
203734 MLBWSH 402365 761327 301084 93 .208.276.312.588 .104.271 277 .265 61 -18 +1 -8 +4 +11 -0.9
▸ Career Totals (MLE all levels + projections)
Career 63665800 128621838125 444158364 19561 .222.284.337.621 .115.281 257 .278 71 -206 +15 -57 +68 +180 -0.0
/ 162G 650592 13122413 451627 206 .221.284.338.622 .117.280 257 .278 71 -21 +2 -6 +7 +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
202421 AFredericksburg Nationals 9078 23130 9131 101 .295.375.385.760 .090.343 1410 .337 116 +2 +2 +3 0.6
202522 AAHarrisburg Senators 357326 761323 23743 183 .233.290.313.603 .080.290 216 .271 66 -14 +2 +10 -0.1
202522 A+Wilmington Blue Rocks 194179 47633 9423 121 .263.309.380.689 .117.326 225 .304 91 -2 +2 +5 0.6
202522 INTLScottsdale Scorpions 7964 23512 11153 60 .359.474.5621.037 .203.438 1914 .451 203 +9 +1 +2 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
Seaver King (OGILVIE) 23 30→46 40→45 60→66 30 .217/.264/.321 .104.287 510 27% 5% 60 -0.5
Jorge Mateo
2019 · AAA
24 39→46 42→50 60→65 36 .194/.237/.305 .111.282 828 33% 5% 43 -2.2 .207/.246/.327 .120.299 1022 33% 4% 53 -1.5 .217/.264/.366.149.272144425%5%70-0.2
Adam Engel
2015 · A
23 45→48 40→50 57→60 39 .215/.266/.310 .095.290 724 28% 5% 58 -1.2 .203/.259/.302 .099.292 730 31% 6% 53 -1.5 .227/.287/.366.138.305132328%5%79+0.1
Christopher Bostick
2016 · AA
23 44→54 44→45 54→55 40 .218/.266/.339 .121.285 1118 27% 5% 66 -0.6 .227/.275/.333 .106.301 812 26% 5% 67 -0.5 .235/.286/.345.110.3069725%5%72-0.2
Noel Cuevas
2015 · AA
23 45→50 42→45 54→55 40 .219/.262/.326 .107.279 917 25% 5% 60 -1.0 .233/.267/.328 .095.304 718 25% 4% 62 -0.9 .249/.283/.353.103.31081222%3%72-0.1
Travis Witherspoon
2012 · A
23 41→47 43→45 56→55 37 .207/.252/.311 .104.290 1121 32% 5% 52 -1.6 .213/.268/.332 .119.287 1323 29% 7% 65 -0.7 .206/.266/.332.126.273142529%7%60-0.8
Tyler Goeddel
2016 · AA
23 47→49 43→45 56→55 43 .228/.282/.346 .118.301 919 26% 6% 74 -0.1 .220/.281/.327 .107.284 915 24% 7% 69 -0.4 .203/.270/.296.093.26271224%7%53-0.8
Jacob Young
2022 · A
23 43→53 38→40 57→60 43 .206/.257/.288 .083.264 520 24% 6% 48 -1.9 .238/.299/.313 .075.302 431 21% 6% 72 -0.2 .248/.310/.323.074.31133620%6%76+0.1
Josh Flores
2009 · AA
23 46→51 42→45 58→55 40 .227/.269/.334 .108.292 923 25% 5% 65 -0.7 .214/.269/.307 .093.292 620 27% 6% 58 -1.2 .192/.252/.265.073.26642527%7%36-0.6
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Kristopher Negrón
2009 · A
23 44→50 40→45 56→55 42 .211/.267/.303 .093.265 719 23% 5% 56 -1.3 .221/.280/.320 .099.285 820 24% 6% 66 -0.6 .225/.289/.349.123.323141432%7%74-0.0
Johan Rojas
2023 · AA
22 43→53 42→45 63→65 42 .213/.261/.318 .105.268 934 24% 5% 58 -1.2 .245/.287/.352 .107.309 837 22% 5% 77 +0.1 .258/.299/.360.102.32474122%5%80+0.3
Tito Polo
2018 · AA
23 47→53 42→45 56→60 39 .227/.279/.334 .107.301 929 27% 5% 69 -0.4 .225/.275/.329 .104.297 926 26% 5% 66 -0.6 .210/.258/.303.092.26783423%4%49-0.5
Sean Godfrey
2015 · A
23 50→46 41→45 57→55 38 .240/.274/.347 .106.307 717 24% 3% 70 -0.3 .226/.254/.323 .097.291 713 24% 3% 55 -1.4 .221/.244/.312.092.28271324%2%44-1.0
Bubba Thompson
2021 · A
23 40→50 42→50 56→65 33 .191/.240/.295 .104.318 920 41% 5% 43 -2.2 .233/.274/.364 .131.331 1334 32% 5% 76 +0.0 .241/.284/.369.129.334124630%4%77+0.1
Leo German
2016 · AAA
23 44→54 42→45 54→55 41 .218/.274/.316 .098.275 1020 24% 5% 63 -0.8 .254/.292/.345 .091.333 627 25% 4% 77 +0.1 .282/.316/.373.091.36372323%4%90+0.6
Liover Peguero
2023 · AA
22 46 43→50 55 37 .223/.263/.333 .110.306 1122 30% 5% 62 -0.9 .220/.266/.347 .127.291 1419 28% 6% 68 -0.5 .214/.264/.343.129.276161828%6%64-0.6
Corey Toups
2017 · AA
24 46→47 44→45 56→50 43 .224/.285/.348 .124.297 1016 27% 7% 76 +0.1 .204/.266/.311 .107.308 915 35% 7% 59 -1.1 .184/.250/.275.091.29681638%7%40-1.4
Yancarlo Angulo
2010 · AAA
23 42→52 44→45 54→55 42 .211/.268/.330 .119.265 1121 25% 6% 65 -0.7 .226/.281/.321 .095.283 719 22% 6% 67 -0.5 .246/.302/.357.110.30710722%4%84+0.5
Darin Mastroianni
2009 · A
23 43→53 38→40 59→60 42 .205/.259/.283 .078.276 521 27% 6% 48 -1.9 .248/.313/.322 .074.318 335 21% 8% 80 +0.4 .258/.326/.333.075.32423819%9%85+0.6
Franklin Rollin
2019 · AAA
23 44 40→45 52→55 41 .213/.256/.310 .096.262 819 22% 4% 53 -1.5 .197/.247/.280 .083.262 713 27% 5% 42 -2.3 .145/.193/.183.039.20431330%4%-9-1.4