Braylon Payne

CF Wisconsin Timber Rattlers
Age 20 L/L 6'2" / 186 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2034
Overview
A+PROSPECTMiLBFA 2035
OGV OFP40OGV rank#189ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202417ACarolina Mudc…19.438/.526/.62504172—.353/.421/.529
202518ACarolina Mudc…342.240/.356/.38283163—.199/.288/.291
202619AA/A+/INTL2 orgs507.271/.352/.534282693—.228/.291/.441
2027PROJMLE20MLBMIL1.215/.283/.40200900.0
2028PROJ35% MLB21MLBMIL147.221/.291/.41765960.3
2029PROJ49% MLB22MLBMIL230.225/.297/.4271181010.7
Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2034Service0.0First FA2035
2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$6M2033Arb-2$9M2034Arb-3$13M
Skills · percentileMiLB Statcast 2026 AA
Speed93
ISO89
wRC+72
wOBA71
K%30
Whiff%23
Career WAR0.2 WAR median (P10 -1.0 / P90 38, comp-based) · star 11% · didn't stick 61%
CompsXavier Isaac (age 20) · Eddie Rosario (age 20) · Jo Adell (age 20)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†90
AVG/OBP/SLG.215 / .283 / .402
PA1
HR0
K%32
BB%8
BABIP276
ISO174
MLB%0%
Value2027 · WAR
BAT: -2.5 runs (wOBA-derived runs vs avg)-2BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.4 runs (Defensive runs vs avg)-0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +0.20+0.2WAR
0.01.12.20.00.30.71.01.21.31.31.227282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$25M ctrl surplus
Contract
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
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Pre-Arb$0.8M+0.7$2M+$2M
2030Pre-Arb$0.8M+1.0$6M+$6M
2031Pre-Arb$0.9M+1.2$7M+$7M
2032Arb-1$6M+1.3$7M+$4M
2033Arb-2$9M+1.3$7M+$2M
2034Arb-3$13M+1.2$6M+$0.0M (cut)
Totals $18M $35M +$19M

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)
202417 ACarolina Mudcats — 1916 7110 330 41 4385266251.151 188538 1616 501 172 — — — — — —
202518 ACarolina Mudcats — 342288 69948 521030 3110 240356382738 142341 3015 334 63 — — — — — —
202619 AABiloxi Shuckers — 110101 28625 7310 30 277321525846 248348 286 362 89 — — — — — —
202619 A+Wisconsin Timber Rattlers — 357310 8615223 421053 229 277369561930 284346 2912 402 98 — — — — — —
202619 INTLScottsdale Scorpions — 4035 7020 4160 10 200282314596 114350 4010 264 65 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202417 A MLECarolina Mudcats — 1917 6110 240 41 353421529950 176491 2111 422 172 — — — — — —
202518 A MLECarolina Mudcats — 342302 60735 381360 3110 199288291580 93331 4011 262 63 — — — — — —
202619 AA MLEBiloxi Shuckers — 110104 24524 5380 30 231266433699 202319 355 300 89 — — — — — —
202619 A+ MLEWisconsin Timber Rattlers — 357322 7312218 301343 229 227299444743 217313 388 313 98 — — — — — —
202417 A MLECarolina Mudcats — 1917 6110 240 41 353421529950 176462 2111 422 172 — — — — — —
202417 A RAWCarolina Mudcats — 1916 7110 330 41 4385266251.151 188538 1616 501 172 — — — — — —
202518 A MLECarolina Mudcats — 342302 60735 381360 3110 199288291580 93337 4011 262 63 — — — — — —
202518 A RAWCarolina Mudcats — 342288 69948 521030 3110 240356382738 142341 3015 334 63 — — — — — —
202619 A+ MLE3 teams — 507462 10518424 381863 269 227290439730 212319 377 310 96 — — — — — —
202619 A+ RAW3 teams — 507446 12121628 531523 269 271352534886 262347 3010 382 96 — — — — — —
202417 A MLECarolina Mudcats — 1917 6110 240 41 353421529950 176491 2111 422 172 — — — — — —
202518 A MLECarolina Mudcats — 342301 60735 381360 3110 199288292581 93331 4011 262 63 — — — — — —
202619 A+ MLE3 teams — 507461 10518424 381863 269 228290440731 213314 377 310 96 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202417 A MLECarolina Mudcats — 1917 6110 240 41 353421529950 176491 2111 422 172 — — — — — —
202518 A MLECarolina Mudcats — 342301 60735 381360 3110 199288292581 93331 4011 262 63 — — — — — —
202619 A+ MLE3 teams — 507461 10518424 381863 269 228290440731 213314 377 310 96 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202720 MLB MLEMIL 0% 571516 11219423 471833 196 215284399683 183281 328 301 90 -7 +1 -1 +2 +12 0.2
▸ 2027 — real world (MLB)
202720 MLB CTXMIL 0% 11 0000 000 00 215283402685 187276 00 302 90 -0 +0 -0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202821 MLB MLEMIL 35% 426384 8615318 361313 155 221292413705 192282 318 311 96 -2 +1 -1 +2 +9 1.0
202922 MLB MLEMIL 49% 474427 9616321 411413 165 226298424722 198283 309 318 101 +1 +1 -0 +2 +10 1.4
203023 MLB MLEMIL 54% 526472 10819323 461533 185 230302431733 201284 299 322 104 +3 +2 +1 +2 +11 1.8
203124 MLB MLEMIL 55% 578518 12221426 511654 196 232306435740 202285 299 325 106 +4 +1 +1 +2 +13 2.2
203225 MLB MLEMIL 56% 590529 12421426 521664 196 234307435743 202286 289 326 107 +5 +1 +1 +2 +13 2.3
203326 MLB MLEMIL 56% 599537 12622426 531694 186 233307435742 202285 289 326 107 +5 +1 +1 +2 +13 2.3
203427 MLB MLEMIL 55% 596534 12421426 531694 186 232306432738 200285 289 325 106 +4 +1 +1 +2 +13 2.2
203528 MLB MLEMIL 55% 585524 12021325 521674 165 230304428732 197283 299 322 104 +3 +1 +1 +2 +13 2.0
203629 MLB MLEMIL 53% 568510 11620324 501633 145 228301421722 193282 299 318 102 +1 +1 -0 +2 +12 1.6
203730 MLB MLEMIL 53% 552496 11219323 481613 135 225298413711 188280 299 314 98 -1 +1 -1 +2 +12 1.3
203831 MLB MLEMIL 52% 534480 10618321 461573 105 221293403696 183276 299 308 94 -4 +0 -2 +2 +12 0.8
203932 MLB MLEMIL 52% 511460 9816220 441532 86 215286390677 175272 309 300 89 -7 -1 -2 +2 +11 0.3
202821 MLB CTXMIL 35% 147133 29516 12451 52 221291417708 196278 318 312 96 -1 +0 -0 +1 +3 0.3
202922 MLB CTXMIL 49% 230207 467111 20691 82 225297427725 202279 309 318 101 +0 +1 -0 +1 +5 0.7
203023 MLB CTXMIL 54% 285256 589213 25832 103 229302434736 205280 299 323 104 +1 +1 +0 +1 +6 1.0
203124 MLB CTXMIL 55% 320287 6711215 28912 103 231305438743 207281 289 326 106 +2 +1 +1 +1 +7 1.2
203225 MLB CTXMIL 56% 330296 6811215 29932 103 233306439745 206281 289 327 107 +3 +1 +1 +1 +7 1.3
203326 MLB CTXMIL 56% 337302 7011216 30952 103 232306439745 206281 289 327 107 +3 +1 +1 +1 +7 1.3
203427 MLB CTXMIL 55% 330296 6811215 29932 103 231305436741 204280 289 326 106 +2 +1 +1 +1 +7 1.2
203528 MLB CTXMIL 55% 321288 6711215 28912 93 229303431734 201279 289 323 104 +2 +1 +0 +1 +7 1.1
203629 MLB CTXMIL 53% 303271 6210213 27872 83 227300424725 198278 299 319 102 +1 +0 -0 +1 +7 0.9
203730 MLB CTXMIL 53% 290261 589113 25842 73 224297416713 193275 299 314 98 -1 +0 -0 +1 +6 0.7
203831 MLB CTXMIL 52% 278251 559112 24821 53 220292406698 187272 299 308 94 -2 -0 -1 +1 +6 0.4
203932 MLB CTXMIL 52% 265239 518111 23791 43 214285393679 179268 309 300 89 -3 -0 -1 +1 +6 0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 34363087 69911219155 30099220 9634 226299426725 199278 299 319 99 +7 +6 +1 +12 +74 10.2
/ 162G— A+C — 650584 13221429 571884 186 226299425724 199278 299 319 99 +1 +1 +0 +2 +14 1.9
Career— MLE — 76176842 154926248316 667228844 25287 226299417716 191288 309 315 99 +10 +11 +0 +24 +146 19.5
/ 162G— MLE — 650584 13222427 571954 227 226299416715 190288 309 315 99 +1 +1 +0 +2 +14 1.9

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 A+Wisconsin Timber Rattlers · 357 PAwOBA .390 → .313 (−77)K% 29.4% → 37.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷1.000×1.270——37.35%
BB% (unintentional) /PA11.48%÷1.000×0.710—×1.0428.50%
HBP% /PA0.84%—×0.790—×1.0420.69%
Singles /BIP22.44%÷1.000×0.920×0.993×1.04221.37%
Doubles /BIP7.32%÷1.000×0.810×0.993×1.0426.13%
Triples /BIP0.98%÷1.000×0.850×0.993×1.0420.86%
Home runs /BIP11.22%÷1.000×0.800—×1.0429.35%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .390 → .313; ISO .284 → .221; BABIP .346 → .313. 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 AABiloxi Shuckers · 110 PAwOBA .355 → .300 (−55)K% 28.2% → 34.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.18%÷1.000×1.220——34.38%
BB% (unintentional) /PA6.36%÷1.000×0.680—×1.0504.54%
HBP% /PA0.00%—×0.840—×1.0500.00%
Singles /BIP21.43%÷1.000×0.920×0.966×1.05020.00%
Doubles /BIP8.57%÷1.000×0.910×0.966×1.0507.91%
Triples /BIP2.86%÷1.000×0.880×0.966×1.0502.55%
Home runs /BIP7.14%÷1.000×0.800—×1.0506.00%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .355 → .300; ISO .248 → .206; BABIP .348 → .319. 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 ACarolina Mudcats · 342 PAwOBA .328 → .262 (−66)K% 30.1% → 39.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.12%÷1.033×1.360——39.67%
BB% (unintentional) /PA15.20%÷0.981×0.690—×1.04511.17%
HBP% /PA0.00%—×0.780—×1.0450.00%
Singles /BIP25.95%÷0.948×0.920×1.007×1.04526.50%
Doubles /BIP4.86%÷1.002×0.830×1.007×1.0454.24%
Triples /BIP2.16%÷1.150×0.910×1.007×1.0451.80%
Home runs /BIP4.32%÷1.214×0.800—×1.0452.98%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — 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 ×1.007.

Result: wOBA .328 → .262; ISO .142 → .098; BABIP .341 → .331. 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 ACarolina Mudcats · 19 PAwOBA .489 → .422 (−67)K% 15.8% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷1.013×1.360——21.21%
BB% (unintentional) /PA15.79%÷0.980×0.690—×1.05011.67%
HBP% /PA0.00%—×0.780—×1.0500.00%
Singles /BIP38.46%÷1.066×0.920—×1.05034.86%
Doubles /BIP7.69%÷0.962×0.830—×1.0506.97%
Triples /BIP7.69%÷1.007×0.910—×1.0507.30%
Home runs /BIP0.00%÷1.101×0.800—×1.0500.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 113, 2B 92, 3B 101, K 103, BB 96 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .489 → .422; ISO .188 → .172; BABIP .538 → .491. 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 — .