Slater de Brun

OF Charleston RiverDogs
Age 20 L/L A HR -6%H +4% Svc 0.0 · Ctrl thru 2037
Overview
APROSPECTMiLBFA 2038
OGV OFP35OGV rank#1664ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202619A/ROKTB154.284/.461/.319023102—.258/.403/.282
2027PROJMLE20MLBTB264.223/.317/.31339830.0
2028PROJ34% MLB21MLBTB51.229/.322/.32412860.0
2029PROJ48% MLB22MLBTB118.232/.324/.33324890.0
Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2037Service0.0First FA2038
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3
Skills · percentileMiLB Statcast 2026 A
Z-Con%98
Whiff%97
K%91
wRC+80
Speed79
Chase%76
Career WAR0.0 WAR median (P10 -0.3 / P90 6.2, comp-based) · star 5% · didn't stick 86%
CompsForrest Wall (age 20) · Rudy Martin Jr. (age 20) · Hoy Park (age 21)
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 90 proj PA
wRC+†83
AVG/OBP/SLG.221 / .314 / .310
PA90
HR1
K%24
BB%9
ISO90
MLB%0%
Value2027 · WAR
BAT: -1.8 runs (wOBA-derived runs vs avg)-2BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.5 runs (Defensive runs vs avg)-1FLDPOS: -0.5 runs (Positional adjustment)-1POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
0.00.51.00.10.20.30.30.30.20.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus
Contract
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Pre-Arb$0.9M+0.3$0.8M+$0.3M
2033Pre-Arb$0.9M+0.3$0.8M+$0.3M
2034Pre-Arb$1.0M+0.3$0.7M+$0.2M
2035Arb-1$1M+0.2$0.4M+$0.0M (cut)
2036Arb-2$1M———
2037Arb-3$0.6M———
Totals $3M $3M +$0.8M

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)
202619 ACharleston RiverDogs — 133100 26200 201913 213 260444280724 20321 1415 359 97 — — — — — —
202619 ROKFCL Rays — 2116 7200 441 20 4385715621.134 125583 1919 506 134 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202619 A MLECharleston RiverDogs — 133106 27200 142613 213 255406274680 19322 2011 312 97 — — — — — —
202619 ROK MLEFCL Rays — 2118 5100 261 20 278381333714 56465 2910 366 134 — — — — — —
202619 A MLE2 teams — 154123 32300 173214 233 260409285694 24352 2111 319 102 — — — — — —
202619 A RAW2 teams — 154116 33400 242314 233 284461319780 34355 1516 379 102 — — — — — —
202619 A MLE2 teams — 154122 32300 173214 233 262409287696 25342 2111 319 102 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202619 A MLE2 teams — 154122 32300 173214 233 262409287696 25342 2111 319 102 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202720 MLB MLETB 0% 264230 51813 24658 91 223317313629 90292 259 290 83 -5 +1 -2 -2 +6 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202821 MLB MLETB 34% 149131 29412 13364 51 226320324643 97293 249 296 86 -2 +1 -1 -1 +3 -0.0
202922 MLB MLETB 48% 244213 48714 22587 71 229321332654 103293 249 300 89 -3 +1 -1 -1 +5 0.0
203023 MLB MLETB 54% 337294 691126 31809 101 231323340662 108294 249 303 91 -4 +2 -1 -2 +7 0.2
203124 MLB MLETB 55% 399349 811327 369411 122 233324346669 112295 249 305 93 -4 +2 -1 -2 +9 0.4
203225 MLB MLETB 56% 435382 881428 3910211 132 234324350673 116295 239 306 94 -3 +2 -0 -3 +9 0.5
203326 MLB MLETB 56% 453397 931529 4110612 132 234324349673 115294 239 306 93 -4 +2 -0 -3 +10 0.5
203427 MLB MLETB 55% 459402 941529 4210812 132 233323346669 114294 249 305 92 -4 +2 -0 -3 +10 0.5
203528 MLB MLETB 55% 458402 921528 4210911 122 231321341662 111293 249 302 91 -5 +2 -1 -3 +10 0.3
203629 MLB MLETB 53% 448393 901428 4110811 112 228318335653 107291 249 298 88 -6 +1 -1 -3 +10 0.1
203730 MLB MLETB 53% 438385 861327 3910711 112 225314327641 102289 249 294 85 -8 +1 -2 -3 +9 -0.2
202821 MLB CTXTB 34% 5145 10101 5121 20 229322324646 96297 2410 297 86 -1 +0 -0 -0 +1 0.0
202922 MLB CTXTB 48% 118103 25412 11283 41 232324333657 102297 249 301 89 -2 +0 -1 -1 +3 0.0
203023 MLB CTXTB 54% 183159 38613 17435 51 234325340665 106298 239 304 91 -2 +1 -1 -1 +4 0.1
203124 MLB CTXTB 55% 221193 45714 20526 71 235326346672 110299 249 306 93 -2 +1 -0 -1 +5 0.2
203225 MLB CTXTB 56% 244214 51815 22576 71 236326350676 113298 239 308 94 -2 +1 -0 -1 +5 0.3
203326 MLB CTXTB 56% 255224 52815 23606 71 236326349675 113298 249 307 93 -2 +1 -0 -2 +6 0.3
203427 MLB CTXTB 55% 254223 52815 23606 71 235325347671 112298 249 306 92 -2 +1 -0 -2 +6 0.3
203528 MLB CTXTB 55% 251220 52815 23606 71 233323342664 109296 249 303 91 -3 +1 -0 -2 +5 0.2
203629 MLB CTXTB 53% 239209 48714 22586 61 230320335655 105295 249 299 88 -3 +1 -1 -1 +5 0.0
203730 MLB CTXTB 53% 230201 46714 21566 61 227316327643 100293 249 295 85 -4 +1 -1 -1 +5 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 20461791 41964938 18748651 589 234324343667 109299 249 303 91 -23 +8 -4 -12 +44 1.3
/ 162G— A+C — 650569 13320312 5915416 183 234323343666 109298 249 303 91 -7 +3 -1 -4 +14 0.4
Career— MLE — 40643550 8191271869 371962116 13320 231324335658 104296 249 302 91 -45 +15 -9 -23 +85 2.3
/ 162G— MLE — 650568 13120311 5915419 213 231324335658 104296 249 302 91 -8 +3 -2 -4 +14 0.4

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 ACharleston RiverDogs · 133 PAwOBA .352 → .312 (−40)K% 14.3% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷1.000×1.360——19.43%
BB% (unintentional) /PA15.04%÷1.000×0.690—×1.04510.84%
HBP% /PA9.77%—×0.780—×1.0457.97%
Singles /BIP29.63%÷1.000×0.920×1.050×1.04529.91%
Doubles /BIP2.47%÷1.000×0.830×1.050×1.0452.25%
Triples /BIP0.00%÷1.000×0.910×1.050×1.0450.00%
Home runs /BIP0.00%÷1.000×0.800—×1.0450.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .352 → .312; ISO .020 → .018; BABIP .321 → .322. 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 ROKFCL Rays · 21 PAwOBA .494 → .366 (−127)K% 19.0% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.05%÷1.000×1.440——27.43%
BB% (unintentional) /PA19.05%÷1.000×0.620—×1.00811.90%
HBP% /PA4.76%—×0.720—×1.0083.45%
Singles /BIP41.67%÷1.000×0.820—×1.00834.42%
Doubles /BIP16.67%÷1.000×0.720—×1.00812.09%
Triples /BIP0.00%÷1.000×0.720—×1.0080.00%
Home runs /BIP0.00%÷1.000×0.780—×1.0080.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .494 → .366; ISO .125 → .091; BABIP .583 → .465. 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).