Tucker Flint

OF Rocket City Trash Pandas
Age 26 L/L 6'2" / 230 lbs AA K +5%HR +4% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202423AAA/AALAA562.244/.366/.417171575—.200/.297/.335
202524AAA/AALAA453.209/.317/.398171753—.169/.254/.306
202625AALAA537.234/.366/.383142072—.198/.295/.316
2027PROJMLE26MLBLAA3.187/.279/.3120070-0.0
2028PROJ27% MLB27MLBLAA60.189/.280/.3151270-0.1
Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2035Service0.0First FA2036
2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1
Skills · percentileMiLB Statcast 2026 AA
BB%86
Chase%82
wRC+63
wOBA57
Speed56
ISO51
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%
CompsBrian O'Grady (age 26) · Mark Contreras (age 27) · Jordan Qsar (age 27)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†70
AVG/OBP/SLG.187 / .279 / .312
PA3
HR0
K%33
BB%10
BABIP277
ISO124
MLB%2%
Value2027 · WAR
BAT: -5.6 runs (wOBA-derived runs vs avg)-6BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · projected WAR by year
-0.2-0.12728
Tools · ContractCON 30 / POW 55
Toolsscout grade
CONTACT30
scouting grade only
POWER55
scouting grade only
EYE55
scouting grade only
SPEED55
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$0.0M

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)
202221 AInland Empire 66ers — 131101 29803 23406 61 287446455902 168441 3118 407 98 — — — — — —
202322 AARocket City Trash Pandas — 519433 10123413 6715118 44 233359395754 162326 2913 343 92 — — — — — —
202423 AAASalt Lake Bees — 5646 10501 9131 00 217357391748 174281 2316 342 67 — — — — — —
202423 AARocket City Trash Pandas — 506422 10419316 711509 158 246367419786 173340 3014 353 76 — — — — — —
202524 AAASalt Lake Bees — 395340 7617215 471514 161 224325418742 194349 3812 329 58 — — — — — —
202524 AARocket City Trash Pandas — 5847 5102 9131 10 106263255518 14991 2216 246 16 — — — — — —
202625 AARocket City Trash Pandas — 537441 10322114 8014612 203 234366383749 150313 2715 341 72 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202221 A MLEInland Empire 66ers — 131108 23602 16556 61 213346324670 111400 4212 313 98 — — — — — —
202322 AA MLERocket City Trash Pandas — 519454 10225411 4617918 44 225320370691 145338 349 304 92 — — — — — —
202423 AAA MLESalt Lake Bees — 5648 9401 7161 00 188304333637 146237 2912 267 67 — — — — — —
202423 AA MLERocket City Trash Pandas — 506442 8916213 511889 158 201297335632 133305 3710 280 76 — — — — — —
202524 AAA MLESalt Lake Bees — 395352 6314210 351854 161 179261315576 136326 479 254 58 — — — — — —
202524 AA MLERocket City Trash Pandas — 5850 5102 6161 10 100211240451 14082 2810 192 16 — — — — — —
202625 AA MLERocket City Trash Pandas — 537469 9320111 5217812 203 198295316610 117285 3310 275 72 — — — — — —
202221 A MLEInland Empire 66ers — 131108 23602 16556 61 213346324670 111404 4212 313 98 — — — — — —
202221 A RAWInland Empire 66ers — 131101 29803 23406 61 287446455902 168441 3118 407 98 — — — — — —
202322 AA MLERocket City Trash Pandas — 519454 10225411 4617918 44 225320370691 145343 349 304 92 — — — — — —
202322 AA RAWRocket City Trash Pandas — 519433 10123413 6715118 44 233359395754 162326 2913 343 92 — — — — — —
202423 AA MLE2 teams — 562490 9719214 5820410 158 198296331626 133302 3610 279 75 — — — — — —
202423 AA RAW2 teams — 562468 11424317 8016310 158 244366417782 173333 2914 352 75 — — — — — —
202524 AAA MLE2 teams — 453402 6815212 412015 171 169254306560 137293 449 246 53 — — — — — —
202524 AAA RAW2 teams — 453387 8118217 561645 171 209317398715 189308 3612 319 53 — — — — — —
202625 AA MLERocket City Trash Pandas — 537469 9320111 5217812 203 198295316610 117290 3310 275 72 — — — — — —
202625 AA RAWRocket City Trash Pandas — 537441 10322114 8014612 203 234366383749 150313 2715 341 72 — — — — — —
202221 A MLEInland Empire 66ers — 131108 23602 16556 61 213346324670 111400 4212 313 98 — — — — — —
202322 AA MLERocket City Trash Pandas — 519450 10225411 4617918 44 227320373694 147338 349 304 92 — — — — — —
202423 AA MLE2 teams — 562489 9719214 5820410 158 198296331627 133298 3610 279 75 — — — — — —
202524 AAA MLE2 teams — 453404 6815212 412015 171 168254304559 136295 449 246 53 — — — — — —
202625 AA MLERocket City Trash Pandas — 537468 9320111 5217812 203 199295316611 118285 3310 275 72 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 AA MLE2 teams — 562489 9719214 5820410 158 198296331627 133298 3610 279 75 — — — — — —
202524 AAA MLE2 teams — 453404 6815212 412015 171 168254304559 136295 449 246 53 — — — — — —
202625 AA MLERocket City Trash Pandas — 537468 9320111 5217812 203 199295316611 118285 3310 275 72 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLELAA 2% 380334 631319 371356 102 188280314593 125279 3610 271 70 -14 +1 +0 -2 +8 -0.2
▸ 2027 — real world (MLB)
202726 MLB CTXLAA 2% 33 0000 010 00 187279312591 125277 330 270 70 -0 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLELAA 27% 225198 38815 22783 61 190281316597 125279 3510 272 70 -8 +1 +0 -1 +5 -0.4
202827 MLB CTXLAA 27% 6053 9201 6211 20 189280315594 125277 3510 271 70 -2 +0 +0 -0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 6053 9201 6211 20 170267264531 94258 3510 271 74 -2 +0 +0 -0 +1 -0.1
/ 162G— A+C — 650574 9822011 6522811 220 171268267534 96260 3510 271 74 -23 +4 +0 -4 +14 -0.9
Career— MLE — 25822258 446981059 25095056 7219 198293328621 131307 3710 278 74 -14 +1 +0 -2 +8 -0.6
/ 162G— MLE — 650568 11325315 6323914 185 199295333627 134309 3710 278 74 -23 +2 +0 -4 +14 -1.1

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 AARocket City Trash Pandas · 537 PAwOBA .333 → .275 (−58)K% 27.2% → 33.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.19%÷1.000×1.220——33.17%
BB% (unintentional) /PA14.34%÷1.000×0.680—×0.9989.73%
HBP% /PA2.23%—×0.840—×0.9981.87%
Singles /BIP22.37%÷1.000×0.920×1.004×0.99820.62%
Doubles /BIP7.46%÷1.000×0.910×1.004×0.9986.80%
Triples /BIP0.34%÷1.000×0.880×1.004×0.9980.30%
Home runs /BIP4.75%÷1.000×0.800—×0.9983.79%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .333 → .275; ISO .150 → .126; BABIP .313 → .285. 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 AAASalt Lake Bees · 395 PAwOBA .321 → .254 (−68)K% 38.2% → 46.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA38.23%÷0.978×1.200——46.90%
BB% (unintentional) /PA11.90%÷0.964×0.690—×1.0488.93%
HBP% /PA1.01%—×0.940—×1.0481.00%
Singles /BIP22.22%÷1.046×0.930×1.046×1.04821.67%
Doubles /BIP8.99%÷1.005×0.830×1.046×1.0488.14%
Triples /BIP1.06%÷1.079×0.970×1.046×1.0481.04%
Home runs /BIP7.94%÷0.989×0.700—×1.0485.89%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 109, 2B 101, 3B 116, K 96, BB 93 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .321 → .254; ISO .194 → .140; BABIP .349 → .326. 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 AARocket City Trash Pandas · 58 PAwOBA .245 → .192 (−52)K% 22.4% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.41%÷1.011×1.220——27.05%
BB% (unintentional) /PA15.52%÷1.020×0.680—×1.01210.47%
HBP% /PA1.72%—×0.840—×1.0121.47%
Singles /BIP5.88%÷1.048×0.920×0.987×1.0125.16%
Doubles /BIP2.94%÷0.929×0.910×0.987×1.0122.88%
Triples /BIP0.00%÷1.028×0.880×0.987×1.0120.00%
Home runs /BIP5.88%÷1.028×0.800—×1.0124.63%

Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 110, 2B 86, 3B 106, K 102, BB 104 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .245 → .192; ISO .149 → .126; BABIP .091 → .082. 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 AARocket City Trash Pandas · 506 PAwOBA .346 → .280 (−65)K% 29.6% → 37.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.64%÷0.974×1.220——37.14%
BB% (unintentional) /PA14.03%÷0.966×0.680—×1.02710.14%
HBP% /PA1.78%—×0.840—×1.0271.53%
Singles /BIP24.26%÷1.016×0.920×0.992×1.02722.38%
Doubles /BIP6.99%÷1.072×0.910×0.992×1.0276.04%
Triples /BIP1.10%÷1.045×0.880×0.992×1.0270.95%
Home runs /BIP5.88%÷0.976×0.800—×1.0274.95%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 103, 2B 114, 3B 109, K 95, BB 93 — 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 ×0.992.

Result: wOBA .346 → .280; ISO .173 → .140; BABIP .340 → .305. 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 AAASalt Lake Bees · 56 PAwOBA .334 → .267 (−67)K% 23.2% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.21%÷0.971×1.200——28.70%
BB% (unintentional) /PA16.07%÷0.944×0.690—×1.05012.34%
HBP% /PA1.79%—×0.940—×1.0501.76%
Singles /BIP12.12%÷1.030×0.930—×1.05011.49%
Doubles /BIP15.15%÷1.141×0.830—×1.05011.58%
Triples /BIP0.00%÷1.150×0.970—×1.0500.00%
Home runs /BIP3.03%÷0.886×0.700—×1.0502.51%

Factors used: league row International League. Park (home-season share, regressed): HR 77, 1B 106, 2B 128, 3B 130, K 94, BB 89 — 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).

Result: wOBA .334 → .267; ISO .174 → .133; BABIP .281 → .237. 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 AARocket City Trash Pandas · 519 PAwOBA .335 → .304 (−31)K% 29.1% → 34.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.09%÷1.032×1.220——34.41%
BB% (unintentional) /PA12.72%÷1.017×0.680—×1.0428.86%
HBP% /PA3.47%—×0.840—×1.0423.04%
Singles /BIP21.63%÷0.985×0.920×1.050×1.04222.11%
Doubles /BIP8.16%÷0.910×0.910×1.050×1.0428.92%
Triples /BIP1.42%÷0.900×0.880×1.050×1.0421.52%
Home runs /BIP4.61%÷0.970×0.800—×1.0423.96%

Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 97, 2B 82, 3B 80, K 106, BB 103 — 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 ×1.050.

Result: wOBA .335 → .304; ISO .162 → .153; BABIP .326 → .338. 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).

2022 AInland Empire 66ers · 131 PAwOBA .400 → .313 (−87)K% 30.5% → 41.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.53%÷0.991×1.360——41.90%
BB% (unintentional) /PA17.56%÷0.995×0.690—×1.01512.36%
HBP% /PA4.58%—×0.780—×1.0153.63%
Singles /BIP29.51%÷1.049×0.920×1.050×1.01527.58%
Doubles /BIP13.11%÷1.023×0.830×1.050×1.01511.34%
Triples /BIP0.00%÷1.006×0.910×1.050×1.0150.00%
Home runs /BIP4.92%÷0.889×0.800—×1.0154.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 110, 2B 105, 3B 101, K 98, BB 99 — 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 .400 → .313; ISO .168 → .136; BABIP .441 → .400. 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).