Seaver King

SS Rochester Red Wings
Age 24 R/R 6'0" / 195 lbs AAA Svc 0.0 · Ctrl thru 2032
Overview
AAAPROSPECTPre-ArbFA 2033
OGV OFP35OGV rank#643ETA2028MLB%10%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202421AWSH90.295/.375/.38501088—.284/.341/.370
202522AA/A+/INTL2 orgs630.257/.319/.36283673—.223/.263/.303
202623AAA/AAWSH521.303/.383/.5162115114—.272/.337/.434
2027PROJ10% MLB24MLBWSH21.233/.290/.35901830.0
2028PROJ42% MLB25MLBWSH110.234/.293/.36533860.2
2029PROJ58% MLB26MLBWSH176.235/.294/.36845870.3
Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.0First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$2M2031Arb-2$2M2032Arb-3$3M
Skills · percentileMiLB Statcast 2026 AAA
Max EV80
Speed76
K%52
Z-Con%45
Whiff%42
BB%25
Career WAR0.0 WAR median (P10 -0.5 / P90 11, comp-based) · star 3% · didn't stick 72%
CompsCraig Stansberry (age 24) · Ryan Cordell (age 24) · Corey Toups (age 24)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†83
AVG/OBP/SLG.233 / .290 / .359
PA21
HR0
K%24
BB%5
BABIP297
ISO50
MLB%10%
Value2027 · WAR
BAT: -4.2 runs (wOBA-derived runs vs avg)-4BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.6 runs (Defensive runs vs avg)-1FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +0.40+0.4WAR
0.00.51.00.00.20.30.40.30.227282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$2M ctrl surplus
Contract
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2027
Service   0 yrs (est)
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.0$0.2M+$0.0M (cut)
2028Pre-Arb$0.8M+0.2$0.7M+$0.0M
2029Pre-Arb$0.8M+0.3$1M+$0.4M
2030Arb-1$2M+0.4$1M+$0.1M
2031Arb-2$2M+0.3$0.9M+$0.0M (cut)
2032Arb-3$3M+0.2$0.5M+$0.0M (cut)
Totals $3M $5M +$0.5M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
202421 AFredericksburg Nationals — 9078 23130 9131 101 295375385760 90343 1410 337 88 — — — — — —
202522 AAHarrisburg Senators — 357326 761323 23743 183 233290313603 80290 216 271 59 — — — — — —
202522 A+Wilmington Blue Rocks — 194179 47633 9423 121 263309380689 117326 225 304 49 — — — — — —
202522 INTLScottsdale Scorpions — 7964 23512 11153 60 3594745621.037 203438 1914 451 192 — — — — — —
202623 AAARochester Red Wings — 356318 9214216 28818 102 289361497857 208342 238 377 99 — — — — — —
202623 AAHarrisburg Senators — 165137 461035 22312 56 336432562994 226394 1913 426 147 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202421 A MLEFredericksburg Nationals — 9081 23130 6171 101 284341370711 86324 197 299 88 — — — — — —
202522 AA MLEHarrisburg Senators — 357333 761322 16913 183 228270297567 69301 254 256 59 — — — — — —
202522 A+ MLEWilmington Blue Rocks — 194182 39523 6573 121 214251313564 99288 293 241 49 — — — — — —
202623 AAA MLERochester Red Wings — 356327 8312211 20978 102 254313404716 150325 276 314 99 — — — — — —
202623 AA MLEHarrisburg Senators — 165144 45934 16382 56 312389500889 188383 2310 386 147 — — — — — —
202421 A MLEFredericksburg Nationals — 9081 23130 6171 101 284341370711 86348 197 299 88 — — — — — —
202421 A RAWFredericksburg Nationals — 9078 23130 9131 101 295375385760 90343 1410 337 88 — — — — — —
202522 AA MLE3 teams — 630587 1332156 251699 364 227269310579 83305 274 251 56 — — — — — —
202522 AA RAW3 teams — 630569 1462468 431319 364 257319362681 105317 217 304 56 — — — — — —
202623 AAA MLE2 teams — 521471 12921516 3613510 158 274338442780 168349 267 337 114 — — — — — —
202623 AAA RAW2 teams — 521455 13824521 5011210 158 303383516899 213359 2110 392 114 — — — — — —
202421 A MLEFredericksburg Nationals — 9083 23130 6171 101 277341361702 84324 197 299 88 — — — — — —
202522 AA MLE3 teams — 630591 1332156 251699 364 225269308577 83296 274 251 56 — — — — — —
202623 AAA MLE2 teams — 521470 12921516 3613510 158 274338443781 168343 267 337 114 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202421 A MLEFredericksburg Nationals — 9083 23130 6171 101 277341361702 84324 197 299 88 — — — — — —
202522 AA MLE3 teams — 630591 1332156 251699 364 225269308577 83296 274 251 56 — — — — — —
202623 AAA MLE2 teams — 521470 12921516 3613510 158 274338443781 168343 267 337 114 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202724 MLB MLEWSH 10% 380349 811438 23985 103 234291362653 128298 266 291 83 -8 +1 -1 +4 +8 0.4
▸ 2027 — real world (MLB)
202724 MLB CTXWSH 10% 2120 4100 150 10 233290359649 126297 245 290 83 -0 +0 -0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202825 MLB MLEWSH 42% 260238 571026 16674 72 235294368662 133298 266 295 86 -4 +1 -0 +3 +6 0.5
202926 MLB MLEWSH 58% 305279 651127 19784 83 236295370666 135297 266 297 87 -5 +0 -0 +3 +7 0.6
203027 MLB MLEWSH 62% 321293 691228 21824 83 235295370665 135297 267 297 87 -5 +0 -0 +3 +7 0.6
203128 MLB MLEWSH 65% 328300 701228 21844 73 234295367662 133296 266 296 86 -5 +0 -1 +4 +7 0.5
203229 MLB MLEWSH 65% 321293 681227 21824 62 233293364657 131294 267 294 85 -6 +0 -2 +3 +7 0.4
203330 MLB MLEWSH 65% 314287 661127 20814 42 230290356646 127293 266 289 82 -7 +0 -2 +3 +7 0.1
203431 MLB MLEWSH 64% 297272 621126 19784 21 226285347632 121290 266 283 78 -8 +0 -3 +3 +6 -0.1
202825 MLB CTXWSH 42% 110100 24413 7282 31 234293365658 131297 256 294 86 -2 +0 -0 +1 +2 0.2
202926 MLB CTXWSH 58% 176161 38714 11452 52 235294368662 133296 266 295 87 -3 +0 -0 +2 +4 0.3
203027 MLB CTXWSH 62% 201183 44815 13513 52 235295367662 133296 256 296 87 -3 +0 -0 +2 +4 0.4
203128 MLB CTXWSH 65% 214195 45815 14553 52 234294365659 131295 267 294 86 -4 +0 -1 +2 +5 0.3
203229 MLB CTXWSH 65% 208189 44815 14533 41 232293361654 129294 257 292 85 -4 +0 -1 +2 +5 0.2
203330 MLB CTXWSH 65% 203185 42715 13533 31 229289354644 125292 266 288 82 -4 +0 -1 +2 +4 0.1
203431 MLB CTXWSH 64% 191175 40714 12502 11 225285345630 120290 266 282 78 -5 -0 -2 +2 +4 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 13031188 27749731 8433518 2610 233294364658 131297 266 292 84 -24 +1 -5 +14 +28 1.4
/ 162G— A+C — 650593 13724315 421679 135 231292358649 126295 266 292 84 -12 +1 -3 +7 +14 0.7
Career— MLE — 35973294 7881302976 21692751 10931 239296366662 126308 266 292 84 -44 +2 -9 +25 +51 2.7
/ 162G— MLE — 650595 14223514 391689 206 239295365660 126307 266 292 84 -12 +1 -2 +7 +14 0.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAARochester Red Wings · 356 PAwOBA .368 → .314 (−54)K% 22.8% → 27.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.75%÷1.000×1.200——27.30%
BB% (unintentional) /PA7.87%÷1.000×0.690—×1.0505.70%
HBP% /PA2.25%—×0.940—×1.0502.22%
Singles /BIP25.32%÷1.000×0.930×1.011×1.05025.00%
Doubles /BIP5.91%÷1.000×0.830×1.011×1.0505.21%
Triples /BIP0.84%÷1.000×0.970×1.011×1.0500.87%
Home runs /BIP6.75%÷1.000×0.700—×1.0504.96%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .368 → .314; ISO .208 → .158; BABIP .342 → .325. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AAHarrisburg Senators · 165 PAwOBA .422 → .386 (−37)K% 18.8% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.79%÷1.000×1.220——22.92%
BB% (unintentional) /PA13.33%÷1.000×0.700—×1.0279.59%
HBP% /PA1.21%—×0.850—×1.0271.06%
Singles /BIP26.42%÷1.000×0.970×1.012×1.02726.64%
Doubles /BIP9.43%÷1.000×0.860×1.012×1.0278.43%
Triples /BIP2.83%÷1.000×0.950×1.012×1.0272.80%
Home runs /BIP4.72%÷1.000×0.780—×1.0273.78%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .422 → .386; ISO .226 → .203; BABIP .394 → .383. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAHarrisburg Senators · 357 PAwOBA .265 → .256 (−10)K% 20.7% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.73%÷0.997×1.220——25.38%
BB% (unintentional) /PA6.16%÷0.967×0.700—×1.0424.65%
HBP% /PA0.84%—×0.850—×1.0420.74%
Singles /BIP23.02%÷1.009×0.970×1.035×1.04223.86%
Doubles /BIP5.16%÷0.887×0.860×1.035×1.0425.39%
Triples /BIP0.79%÷0.913×0.950×1.035×1.0420.89%
Home runs /BIP1.19%÷0.963×0.780—×1.0421.00%

Factors used: league row EL. Park (home-season share, regressed): HR 93, 1B 102, 2B 77, 3B 83, K 99, BB 93 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .265 → .256; ISO .080 → .077; BABIP .290 → .301. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Wilmington Blue Rocks · 194 PAwOBA .297 → .241 (−57)K% 21.6% → 29.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.65%÷0.960×1.310——29.54%
BB% (unintentional) /PA4.64%÷0.986×0.600—×1.0122.86%
HBP% /PA1.55%—×0.770—×1.0121.21%
Singles /BIP25.55%÷1.004×0.870×1.020×1.01222.84%
Doubles /BIP4.38%÷0.948×0.780×1.020×1.0123.72%
Triples /BIP2.19%÷1.000×0.850×1.020×1.0121.92%
Home runs /BIP2.19%÷0.967×0.880—×1.0122.02%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 93, 1B 101, 2B 90, 3B 100, K 92, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .297 → .241; ISO .117 → .098; BABIP .326 → .288. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AFredericksburg Nationals · 90 PAwOBA .336 → .299 (−38)K% 14.4% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.44%÷1.038×1.360——18.92%
BB% (unintentional) /PA10.00%÷1.044×0.690—×1.0156.71%
HBP% /PA1.11%—×0.780—×1.0150.88%
Singles /BIP29.23%÷1.024×0.920×1.050×1.01527.98%
Doubles /BIP1.54%÷0.907×0.830×1.050×1.0151.50%
Triples /BIP4.62%÷1.150×0.910×1.050×1.0153.89%
Home runs /BIP0.00%÷1.078×0.800—×1.0150.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 105, 2B 81, 3B 130, K 108, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .336 → .299; ISO .090 → .079; BABIP .343 → .324. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .