Jett Williams

SS Nashville Sounds
Age 23 R/R 5'7" / 179 lbs AAA HR +10%K +6% Svc 0.0 · Ctrl thru 2033
Overview
AAAPROSPECTMiLBFA 2034
OGV OFP45OGV rank#81ETA2028MLB%14%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202420AAA/AA/A/INTL2 orgs249.219/.367/.33321289—.208/.318/.287
202521AAA/AANYM572.261/.366/.465173495—.230/.311/.388
202622AAA/INTL2 orgs410.231/.344/.380102773—.201/.287/.321
2027PROJ14% MLB23MLBMIL29.219/.303/.35611880.1
2028PROJ44% MLB24MLBMIL216.224/.307/.37059930.7
2029PROJ58% MLB25MLBMIL297.227/.310/.379812961.0
Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2033Service0.0First FA2034
2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$4M2032Arb-2$7M2033Arb-3$8M
Skills · percentileMiLB Statcast 2026 AAA
Speed98
Whiff%77
BB%75
Chase%69
Z-Con%66
Max EV57
Career WAR0.2 WAR median (P10 -0.8 / P90 20, comp-based) · star 5% · didn't stick 66%
CompsMasyn Winn (age 22) · Anthony Volpe (age 23) · Jakob Marsee (age 23)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†88
AVG/OBP/SLG.219 / .303 / .356
PA29
HR1
K%24
BB%10
BABIP280
ISO154
MLB%14%
Value2027 · WAR
BAT: -2.9 runs (wOBA-derived runs vs avg)-3BATRUN: +1.3 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.2 runs (Defensive runs vs avg)+0FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +0.60+0.6WAR
0.00.81.70.10.71.01.21.21.10.827282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$27M ctrl surplus
Contract
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
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+0.7$3M+$2M
2029Pre-Arb$0.8M+1.0$7M+$6M
2030Pre-Arb$0.8M+1.2$8M+$7M
2031Arb-1$4M+1.2$7M+$4M
2032Arb-2$7M+1.1$6M+$2M
2033Arb-3$8M+0.8$2M+$0.0M (cut)
Totals $14M $32M +$21M

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)
202218 ROKFCL Mets — 4132 8111 463 60 250385438822 188259 1510 354 71 — — — — — —
202319 AABinghamton Rumble Ponies — 2622 5100 2101 10 227320273593 45385 388 271 53 — — — — — —
202319 A+Brooklyn Cyclones — 162127 38927 33322 121 2994515671.018 268352 2020 444 117 — — — — — —
202319 ASt. Lucie Mets — 346261 651266 697612 326 249427410837 161322 2220 380 78 — — — — — —
202420 AAASyracuse Mets — 3022 8400 870 10 3645335451.079 182533 2327 478 162 — — — — — —
202420 AABinghamton Rumble Ponies — 10187 15410 10254 22 172287241529 69242 2510 255 33 — — — — — —
202420 ASt. Lucie Mets — 1712 3000 431 21 250471250721 333 1824 367 91 — — — — — —
202420 INTLScottsdale Scorpions — 10180 18322 17303 71 225380388768 163327 3017 349 122 — — — — — —
202521 AAASyracuse Mets — 151134 28527 14351 22 209289433721 224223 239 314 52 — — — — — —
202521 AABinghamton Rumble Ponies — 421352 9929510 62963 327 281393477871 196357 2315 383 111 — — — — — —
202622 AAANashville Sounds — 359305 71959 47794 214 233343384726 151282 2213 327 68 — — — — — —
202622 INTLScottsdale Scorpions — 5142 9111 9110 60 214353357710 143267 2218 327 108 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202218 ROK MLEFCL Mets — 4134 7111 293 60 206308382690 176200 225 273 71 — — — — — —
202319 AA MLEBinghamton Rumble Ponies — 2623 5100 1121 10 217280261541 43381 464 246 53 — — — — — —
202319 A+ MLEBrooklyn Cyclones — 162139 33726 21412 121 237346446792 209289 2513 341 117 — — — — — —
202319 A MLESt. Lucie Mets — 346280 51944 5010912 326 182330286616 104267 3214 284 78 — — — — — —
202420 AAA MLESyracuse Mets — 3024 8400 690 10 333467500967 167498 3020 408 162 — — — — — —
202420 AA MLEBinghamton Rumble Ponies — 10190 15410 7294 22 167257233491 67230 297 217 33 — — — — — —
202420 A MLESt. Lucie Mets — 1713 3000 341 21 231412231643 325 2418 302 91 — — — — — —
202521 AAA MLESyracuse Mets — 151138 23424 10431 22 167228312540 145207 287 245 52 — — — — — —
202521 AA MLEBinghamton Rumble Ponies — 421368 932658 461153 327 253341416756 163340 2711 332 111 — — — — — —
202622 AAA MLENashville Sounds — 359318 64757 34954 214 201287321607 119255 269 269 68 — — — — — —
202218 ROK MLEFCL Mets — 4134 7111 293 60 206308382690 176231 225 273 71 — — — — — —
202218 ROK RAWFCL Mets — 4132 8111 463 60 250385438822 188259 1510 354 71 — — — — — —
202319 A MLE3 teams — 534441 8917610 7316315 457 202335336670 134289 3114 299 89 — — — — — —
202319 A RAW3 teams — 534410 10822813 10411815 457 263429451880 188335 2219 394 89 — — — — — —
202420 AA MLE4 teams — 249213 411210 27718 124 192306258565 66287 2911 265 66 — — — — — —
202420 AA RAW4 teams — 249201 441132 39658 124 219367333700 114311 2616 328 66 — — — — — —
202521 AA MLE2 teams — 572506 11730713 561584 349 231313395708 164306 2810 309 95 — — — — — —
202521 AA RAW2 teams — 572486 12734717 761314 349 261366465831 204321 2313 365 95 — — — — — —
202622 AAA MLE2 teams — 410364 74968 391084 274 203287327614 124263 2610 269 68 — — — — — —
202622 AAA RAW2 teams — 410347 8010610 56904 274 231344380724 150280 2214 327 68 — — — — — —
202218 ROK MLEFCL Mets — 4136 7111 293 60 194308361669 167200 225 273 71 — — — — — —
202319 A MLE3 teams — 534441 8917610 7316315 457 202335336670 134279 3114 299 89 — — — — — —
202420 AA MLE4 teams — 249212 411210 27718 124 193306259566 66295 2911 265 66 — — — — — —
202521 AA MLE2 teams — 572507 11730713 561584 349 231313394707 164305 2810 309 95 — — — — — —
202622 AAA MLE2 teams — 410364 74968 391084 274 203287327614 124255 2610 269 68 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202420 AA MLE4 teams — 249212 411210 27718 124 193306259566 66295 2911 265 66 — — — — — —
202521 AA MLE2 teams — 572507 11730713 561584 349 231313394707 164305 2810 309 95 — — — — — —
202622 AAA MLE2 teams — 410364 74968 391084 274 203287327614 124255 2610 269 68 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202723 MLB MLEMIL 14% 469416 921959 451195 195 222305359664 137285 2510 299 88 -7 +2 +0 +5 +10 0.6
▸ 2027 — real world (MLB)
202723 MLB CTXMIL 14% 2926 6101 370 10 219303356659 136280 2410 296 88 -0 +0 +0 +0 +1 0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202824 MLB MLEMIL 44% 489434 9820511 471225 205 227310373682 146287 2510 306 93 -4 +2 +1 +5 +11 1.5
202925 MLB MLEMIL 58% 509450 10220512 491265 215 229312381693 152287 2510 310 96 -3 +2 +1 +5 +11 1.7
203026 MLB MLEMIL 65% 516456 10521513 501275 215 230313385698 154287 2510 312 97 -2 +2 +1 +6 +11 1.8
203127 MLB MLEMIL 66% 516456 10521513 501275 205 230313383696 153287 2510 311 97 -2 +2 +1 +6 +11 1.8
203228 MLB MLEMIL 67% 511452 10420513 491275 185 229311380691 151287 2510 309 95 -3 +2 -0 +5 +11 1.6
203329 MLB MLEMIL 66% 502444 10120512 481265 154 227308374683 147285 2510 306 93 -4 +1 -1 +5 +11 1.3
203430 MLB MLEMIL 65% 492438 9719411 471254 123 224305367672 143284 2510 301 90 -6 +1 -1 +5 +11 1.0
203531 MLB MLEMIL 65% 369328 721438 35953 62 220300357658 137281 269 296 86 -6 +0 -2 +4 +8 0.4
203632 MLB MLEMIL 70% 348310 671337 32913 32 215294345640 130277 269 288 81 -8 -0 -3 +4 +8 0.0
202824 MLB CTXMIL 44% 216191 42825 21542 92 224307370678 146282 2510 304 93 -2 +1 +0 +2 +5 0.7
202925 MLB CTXMIL 58% 297263 601138 29743 123 227310379689 152282 2510 308 96 -1 +1 +0 +3 +6 1.0
203026 MLB CTXMIL 65% 336297 681339 33833 133 228311383694 155282 2510 310 97 -1 +1 +0 +4 +7 1.2
203127 MLB CTXMIL 66% 343304 691339 33853 133 228310382692 154282 2510 309 97 -1 +1 +0 +4 +7 1.2
203228 MLB CTXMIL 67% 343304 691339 33853 123 227309379687 152282 2510 307 95 -2 +1 -0 +4 +7 1.1
203329 MLB CTXMIL 66% 331293 651238 32833 103 224306372679 148281 2510 304 93 -3 +1 -0 +4 +7 0.8
203430 MLB CTXMIL 65% 321285 641238 30813 82 222303365668 143279 259 299 90 -4 +1 -1 +3 +7 0.7
203531 MLB CTXMIL 65% 239213 47926 22622 41 218298355653 138276 269 294 86 -4 +0 -2 +3 +5 0.3
203632 MLB CTXMIL 70% 244217 45825 23642 21 213292343635 131273 269 286 81 -5 +0 -2 +3 +5 0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 26702367 529992467 25667124 8321 223306371676 147281 2510 303 90 -24 +8 -4 +29 +58 6.9
/ 162G— A+C — 650576 12924616 621636 205 224305370675 146282 2510 303 90 -6 +2 -1 +7 +14 1.7
Career— MLE — 62685512 121924563136 624162876 26962 221309362671 141286 2610 301 90 -40 +14 -5 +48 +97 11.5
/ 162G— MLE — 650572 12625714 651698 286 220309362671 142285 2610 301 90 -6 +2 -1 +7 +14 1.7

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 AAANashville Sounds · 359 PAwOBA .322 → .269 (−53)K% 22.0% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.01%÷1.000×1.200——26.41%
BB% (unintentional) /PA13.09%÷1.000×0.690—×1.0509.49%
HBP% /PA1.11%—×0.940—×1.0501.10%
Singles /BIP21.24%÷1.000×0.930×0.950×1.05019.70%
Doubles /BIP3.98%÷1.000×0.830×0.950×1.0503.30%
Triples /BIP2.21%÷1.000×0.970×0.950×1.0502.14%
Home runs /BIP3.98%÷1.000×0.700—×1.0502.93%

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 ×0.950.

Result: wOBA .322 → .269; ISO .151 → .121; BABIP .282 → .255. 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 AABinghamton Rumble Ponies · 421 PAwOBA .376 → .332 (−45)K% 22.8% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.80%÷1.015×1.220——27.40%
BB% (unintentional) /PA14.73%÷0.983×0.700—×1.04210.93%
HBP% /PA0.71%—×0.850—×1.0420.63%
Singles /BIP21.48%÷0.982×0.970×0.950×1.04221.02%
Doubles /BIP11.33%÷0.941×0.860×0.950×1.04210.25%
Triples /BIP1.95%÷0.911×0.950×0.950×1.0422.02%
Home runs /BIP3.91%÷0.990×0.780—×1.0423.21%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 96, 2B 88, 3B 82, K 103, BB 97 — 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 ×0.950.

Result: wOBA .376 → .332; ISO .196 → .174; BABIP .357 → .340. 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 AAASyracuse Mets · 151 PAwOBA .309 → .245 (−65)K% 23.2% → 28.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.18%÷0.981×1.200——28.36%
BB% (unintentional) /PA9.27%÷1.005×0.690—×1.0506.68%
HBP% /PA0.66%—×0.940—×1.0500.65%
Singles /BIP14.14%÷0.975×0.930×0.978×1.05013.85%
Doubles /BIP5.05%÷1.022×0.830×0.978×1.0504.21%
Triples /BIP2.02%÷0.959×0.970×0.978×1.0502.10%
Home runs /BIP7.07%÷1.167×0.700—×1.0504.45%

Factors used: league row International League. Park (home-season share, regressed): HR 133, 1B 95, 2B 104, 3B 92, K 96, BB 101 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .309 → .245; ISO .224 → .158; BABIP .223 → .207. 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 AABinghamton Rumble Ponies · 101 PAwOBA .249 → .217 (−32)K% 24.8% → 28.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.75%÷1.046×1.220——28.86%
BB% (unintentional) /PA9.90%÷0.996×0.700—×1.0507.30%
HBP% /PA3.96%—×0.850—×1.0503.53%
Singles /BIP16.13%÷0.992×0.970×0.950×1.05015.73%
Doubles /BIP6.45%÷0.954×0.860×0.950×1.0505.80%
Triples /BIP1.61%÷1.062×0.950×0.950×1.0501.44%
Home runs /BIP0.00%÷0.834×0.780—×1.0500.00%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 98, 2B 91, 3B 112, K 109, BB 99 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .249 → .217; ISO .069 → .061; BABIP .242 → .230. 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 AAASyracuse Mets · 30 PAwOBA .467 → .408 (−60)K% 23.3% → 28.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.33%÷0.968×1.200——28.94%
BB% (unintentional) /PA26.67%÷0.933×0.690—×1.05020.70%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP26.67%÷1.006×0.930—×1.05025.89%
Doubles /BIP26.67%÷0.972×0.830—×1.05023.91%
Triples /BIP0.00%÷0.900×0.970—×1.0500.00%
Home runs /BIP0.00%÷1.059×0.700—×1.0500.00%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average).

Result: wOBA .467 → .408; ISO .182 → .164; BABIP .533 → .498. 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 ASt. Lucie Mets · 17 PAwOBA .360 → .302 (−58)K% 17.6% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷0.990×1.360——24.24%
BB% (unintentional) /PA23.53%÷1.030×0.690—×1.01516.00%
HBP% /PA5.88%—×0.780—×1.0154.66%
Singles /BIP33.33%÷0.957×0.920—×1.01532.51%
Doubles /BIP0.00%÷0.954×0.830—×1.0150.00%
Triples /BIP0.00%÷1.150×0.910—×1.0150.00%
Home runs /BIP0.00%÷0.826×0.800—×1.0150.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 65, 1B 91, 2B 91, 3B 130, K 98, BB 106 — 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).

Result: wOBA .360 → .302; ISO .000 → .000; BABIP .333 → .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).

2023 ASt. Lucie Mets · 346 PAwOBA .376 → .284 (−92)K% 22.0% → 31.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.97%÷0.947×1.360——31.55%
BB% (unintentional) /PA19.94%÷0.977×0.690—×1.03014.50%
HBP% /PA3.47%—×0.780—×1.0302.79%
Singles /BIP22.16%÷1.054×0.920×0.950×1.03018.93%
Doubles /BIP6.49%÷0.987×0.830×0.950×1.0305.34%
Triples /BIP3.24%÷1.150×0.910×0.950×1.0302.51%
Home runs /BIP3.24%÷1.274×0.800—×1.0302.10%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .376 → .284; ISO .161 → .113; BABIP .322 → .267. 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).

2023 A+Brooklyn Cyclones · 162 PAwOBA .433 → .341 (−92)K% 19.8% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.75%÷1.018×1.310——25.42%
BB% (unintentional) /PA20.37%÷0.970×0.600—×1.04213.13%
HBP% /PA1.23%—×0.770—×1.0420.99%
Singles /BIP21.05%÷0.973×0.870×0.950×1.04218.63%
Doubles /BIP9.47%÷1.058×0.780×0.950×1.0426.91%
Triples /BIP2.11%÷1.150×0.850×0.950×1.0421.54%
Home runs /BIP7.37%÷1.054×0.880—×1.0426.41%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 111, 1B 95, 2B 112, 3B 130, K 104, BB 94 — 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 ×0.950.

Result: wOBA .433 → .341; ISO .268 → .225; BABIP .352 → .289. 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 — .