Liam Hicks

C Tampa Bay Rays
Age 28 L/R 5'9" / 185 lbs MLB HR -6%H +4% Svc 2.000 · Ctrl thru 2030
Overview
MLB40-MANPre-ArbFA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202425AADET494.264/.385/.3576384—.242/.331/.317
202526MLBMIA390.247/.349/.346621062.0
202627MLBTB554.284/.372/.4341831254.1
2027PROJ28MLBTB445.259/.346/.3971231122.3
2028PROJ29MLBTB445.256/.343/.3901221092.0
2029PROJ30MLBTB445.253/.339/.3811101061.7
Last 3 seasons WAR 6.1  ·  Next 3 projected WAR 5.9Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.000First FA2031
2027Pre-Arb$0.8M2028Arb-1$4M2029Arb-2$6M2030Arb-3$6M
Skills · percentileStatcast 2025-2026
xwOBA58
Bat Spd18
Barrel%14
Speed13
Avg EV10
Form.253/.334/.379 ▼ rolling true talent (60d window) · proj .257/.341/.397
CompsJ.P. Crawford (age 29) · Steve Clevenger (age 28) · Jason Phillips (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 92112vR 119
AVG/OBP/SLG.259 / .346 / .397
PA445
HR12
K%12
BB%10
BABIP270
ISO136
MLB%100%
Value2027 · WAR
BAT: +6.1 runs (wOBA-derived runs vs avg)+6BATRUN: -0.8 runs (SB/CS + UBR baserunning)-1RUNFLD: -1.6 runs (Defensive runs vs avg)-2FLDPOS: +7.9 runs (Positional adjustment)+8POSREP: +9.6 runs (Replacement-level credit)+10REPTotal WAR: +2.50+2.5WAR
0.01.53.02.52.01.71.327282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$44M ctrl surplus
Tools · Recent Form · Splits · ContractCON 55 / POW 40
Toolsscout grade · Statcast %ile · 2025-2026
CONTACT55
xAVG
530.254
POWER40
Barrel%
143.6
Avg EV
1084.6
Bat Spd
1867.9
EYE60
scouting grade only
SPEED40
Sprint
1325.7
Recent Formrolling true talent ⓘ
K%13%▼14% over 74 PA (60d) · proj 12%
BB%9%▼8% over 74 PA (60d) · proj 10%
ISO.126▼.090 over 67 AB (60d) · proj .141
HR/BB3.0%▼1.8% over 57 BBE (60d) · proj 3.7%
BABIP.271·.321 over 56 BIP (60d) · proj .267
SLASH.253/.334/.379▼proj .257/.341/.397
Platoon Splits2025-2026 · 463 PA
vs LHP
vs RHP
Edge
PA
66
397
—
wRC+
72
117
▶▶R
wOBA
275
342
▶▶R
ISO
039
142
▶▶R
BABIP
238
289
▶▶R
K%
15.2%
13.1%
▶R
BB%
12.1%
9.8%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   2.000 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+2.5$20M+$19M
2028Arb-1$4M+2.0$15M+$11M
2029Arb-2$6M+1.7$12M+$7M
2030Arb-3$6M+1.3$8M+$4M
Totals $16M $55M +$41M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
202122 ROKACL Rangers — 3224 3000 741 00 125344125469 150 1222 260 3 — — — — — —
202223 A+Hickory Crawdads — 2216 3000 352 00 188381188568 250 2314 285 41 — — — — — —
202223 ADown East Wood Ducks — 12088 24602 26112 51 273448409857 136278 922 383 107 — — — — — —
202223 ROKACL Rangers — 5746 22311 763 00 4785716521.224 174525 1112 527 151 — — — — — —
202324 AAFrisco RoughRiders — 316253 681413 495212 40 269411368778 99325 1616 361 91 — — — — — —
202324 A+Hickory Crawdads — 5645 14101 10111 30 311446400846 89394 2018 392 84 — — — — — —
202324 INTLSurprise Saguaros — 8569 31500 1680 20 4495535221.075 72508 919 484 213 — — — — — —
202425 AAErie SeaWolves — 494406 1072006 645816 31 264385357742 94289 1213 340 84 — — — — — —
202526 MLBMiami Marlins — 390332 821316 43569 20 247349346695 99278 1411 317 106 +3 +0 +1 +7 +8 2.0
202627 MLBTampa Bay Rays — 554479 13616118 565511 30 284372434806 150286 1010 358 125 +17 +1 +1 +10 +12 4.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 944811 21829224 9911120 50 269362398761 129283 1210 341 117 +19 +1 +2 +17 +20 6.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202122 ROK MLEACL Rangers — 3227 3000 461 00 111250111361 121 1912 172 3 — — — — — —
202223 A+ MLEHickory Crawdads — 2217 3000 272 00 176333176510 211 329 229 41 — — — — — —
202223 A MLEDown East Wood Ducks — 12097 23502 17152 51 237362351713 113243 1214 326 107 — — — — — —
202223 ROK MLEACL Rangers — 5749 18211 493 00 367446510957 143397 167 392 151 — — — — — —
202324 AA MLEFrisco RoughRiders — 316267 631413 356312 40 236350330680 94289 2011 303 91 — — — — — —
202324 A+ MLEHickory Crawdads — 5649 12101 6151 30 245339327666 82324 2711 293 84 — — — — — —
202425 AA MLEErie SeaWolves — 494429 1041705 417016 31 242331317648 75266 148 292 84 — — — — — —
202526 MLB MLEMiami Marlins — 390332 841416 43569 20 253354355710 102278 1411 325 106 +3 +0 +1 +7 +8 2.0
202627 MLB MLETampa Bay Rays — 554482 13516119 535511 30 280364436800 156286 1010 353 125 +17 +1 +1 +10 +12 4.1
202122 ROK MLEACL Rangers — 3227 3000 461 00 111250111361 143 1912 172 3 — — — — — —
202122 ROK RAWACL Rangers — 3224 3000 741 00 125344125469 150 1222 260 3 — — — — — —
202223 A MLE3 teams — 199163 44713 23307 51 270383380764 110301 1512 334 112 — — — — — —
202223 A RAW3 teams — 199150 49913 36227 51 327477460937 133351 1118 413 112 — — — — — —
202324 AA MLE3 teams — 457392 911814 509513 90 232338314652 82295 2111 301 90 — — — — — —
202324 AA RAW3 teams — 457367 1132014 757113 90 308442401842 93371 1616 388 90 — — — — — —
202425 AA MLEErie SeaWolves — 494429 1041705 417016 31 242331317648 75273 148 292 84 — — — — — —
202425 AA RAWErie SeaWolves — 494406 1072006 645816 31 264385357742 94289 1213 340 84 — — — — — —
202526 MLB MLEMiami Marlins — 390332 841416 43569 20 253354355710 102286 1411 325 106 +3 +0 +1 +7 +8 2.0
202526 MLB RAWMiami Marlins — 390332 821316 43569 20 247349346695 99278 1411 317 106 +3 +0 +1 +7 +8 2.0
202627 MLB MLETampa Bay Rays — 554482 13516119 535511 30 280364436800 156280 1010 353 125 +17 +1 +1 +10 +12 4.1
202627 MLB RAWTampa Bay Rays — 554479 13616118 565511 30 284372434806 150286 1010 358 125 +17 +1 +1 +10 +12 4.1
202122 ROK MLEACL Rangers — 3227 3000 461 00 111250111361 121 1912 172 3 — — — — — —
202223 A MLE3 teams — 199167 44713 23307 51 263383371755 108284 1512 334 112 — — — — — —
202324 AA MLE3 teams — 457391 911814 509513 90 233338315653 82294 2111 301 90 — — — — — —
202425 AA MLEErie SeaWolves — 494434 1041705 417016 31 240331313645 74266 148 292 84 — — — — — —
202526 MLB MLEMiami Marlins — 390335 841416 43569 20 251354352706 101278 1411 325 106 — — — — — —
202627 MLB MLETampa Bay Rays — 554485 13516119 535511 30 278364433797 155286 1010 353 125 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 AA MLEErie SeaWolves — 494434 1041705 417016 31 240331313645 74266 148 292 84 — — — — — —
202526 MLB MLEMiami Marlins — 390335 841416 43569 20 251354352706 101278 1411 325 106 — — — — — —
202627 MLB MLETampa Bay Rays — 554485 13516119 535511 30 278364433797 155286 1010 353 125 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202728 MLB MLETB 100% 496436 11217114 48599 31 257344398742 141267 1210 333 112 +7 +0 -2 +9 +11 2.5
▸ 2027 — real world (MLB)
202728 MLB CTXTB 100% 445391 10115112 43538 31 259346397743 138270 1210 334 112 +6 +0 -2 +8 +10 2.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202829 MLB MLETB 100% 445391 9915112 43548 21 254341391732 137266 1210 329 109 +5 +0 -3 +8 +10 2.0
202930 MLB MLETB 100% 445391 9814112 43568 01 251337382720 131264 1310 324 106 +3 -0 -4 +8 +10 1.7
203031 MLB MLETB 100% 416366 9013110 40547 00 246332371703 125260 1310 318 101 +1 +0 -4 +7 +9 1.3
203132 MLB MLETB 100% 374330 801119 35506 00 239325356680 116256 139 309 95 -2 +0 -5 +7 +8 0.8
203233 MLB MLETB 100% 321283 66907 30455 00 231316338653 106250 149 298 88 -5 +0 -5 +6 +7 0.3
203334 MLB MLETB 96% 255226 50605 23374 00 222305317622 95243 159 285 79 -6 +0 -6 +5 +6 -0.2
202829 MLB CTXTB 100% 445391 10014112 43548 21 256343390733 134269 1210 330 109 +5 +0 -3 +8 +10 2.0
202930 MLB CTXTB 100% 445391 9814111 43568 01 253339381721 128267 1310 325 106 +3 -0 -4 +8 +10 1.7
203031 MLB CTXTB 100% 416366 9113110 40547 00 248334370704 122264 1310 318 101 +1 +0 -4 +7 +9 1.3
203132 MLB CTXTB 100% 374330 811119 35506 00 241327355682 114259 139 310 95 -2 +0 -5 +7 +8 0.8
203233 MLB CTXTB 100% 321283 66807 30455 00 234318337655 104253 149 299 88 -5 +0 -5 +6 +7 0.3
203334 MLB CTXTB 96% 244216 49605 22364 00 224307317624 93246 159 286 79 -6 +0 -6 +4 +5 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 31892788 70395678 31240658 72 252340374714 122269 1310 322 101 +14 +1 -25 +57 +69 11.9
/ 162G— A+C — 650568 14319116 648312 10 252340373713 121268 1310 322 101 +3 +0 -5 +12 +14 2.4
Career— MLE — 48274203 10441559105 471661103 275 248339365703 116270 1410 317 101 +20 +1 -27 +65 +79 14.1
/ 162G— MLE — 650566 14021114 638914 41 247337362699 115269 1410 317 101 +4 +0 -5 +12 +14 2.5

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.

2024 AAErie SeaWolves · 494 PAwOBA .337 → .292 (−45)K% 11.7% → 14.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.74%÷1.009×1.220——14.20%
BB% (unintentional) /PA12.96%÷1.086×0.700—×0.9988.34%
HBP% /PA3.24%—×0.850—×0.9982.75%
Singles /BIP23.28%÷0.992×0.970×0.974×0.99822.13%
Doubles /BIP5.75%÷1.036×0.860×0.974×0.9984.64%
Triples /BIP0.00%÷0.945×0.950×0.974×0.9980.00%
Home runs /BIP1.72%÷0.941×0.780—×0.9981.43%

Factors used: league row EL. Park (home-season share, regressed): HR 88, 1B 98, 2B 107, 3B 89, K 102, BB 117 — 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 ×0.974.

Result: wOBA .337 → .292; ISO .094 → .081; BABIP .289 → .266. 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 AAFrisco RoughRiders · 316 PAwOBA .355 → .303 (−52)K% 16.5% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.46%÷1.009×1.220——19.89%
BB% (unintentional) /PA15.51%÷0.989×0.700—×1.01211.11%
HBP% /PA3.80%—×0.870—×1.0123.34%
Singles /BIP24.88%÷1.031×0.920×0.971×1.01221.81%
Doubles /BIP6.97%÷0.875×0.840×0.971×1.0126.57%
Triples /BIP0.50%÷1.074×0.940×0.971×1.0120.43%
Home runs /BIP1.49%÷0.974×0.800—×1.0121.24%

Factors used: league row TL. Park (home-season share, regressed): HR 95, 1B 106, 2B 75, 3B 115, K 102, BB 98 — 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 ×0.971.

Result: wOBA .355 → .303; ISO .099 → .091; BABIP .325 → .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).

2023 A+Hickory Crawdads · 56 PAwOBA .383 → .293 (−90)K% 19.6% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.64%÷0.974×1.310——26.41%
BB% (unintentional) /PA17.86%÷1.000×0.600—×0.98810.59%
HBP% /PA1.79%—×0.770—×0.9881.36%
Singles /BIP35.29%÷1.040×0.870—×0.98829.17%
Doubles /BIP2.94%÷0.960×0.780—×0.9882.36%
Triples /BIP0.00%÷1.150×0.850—×0.9880.00%
Home runs /BIP2.94%÷0.948×0.880—×0.9882.70%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 90, 1B 108, 2B 92, 3B 130, K 95, BB 100 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .383 → .293; ISO .089 → .080; BABIP .394 → .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).

2022 ADown East Wood Ducks · 120 PAwOBA .387 → .326 (−61)K% 9.2% → 12.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.17%÷1.014×1.360——12.30%
BB% (unintentional) /PA21.67%÷1.027×0.690—×0.99014.41%
HBP% /PA1.67%—×0.780—×0.9901.29%
Singles /BIP20.78%÷0.994×0.920×0.981×0.99018.68%
Doubles /BIP7.79%÷1.008×0.830×0.981×0.9906.23%
Triples /BIP0.00%÷1.150×0.910×0.981×0.9900.00%
Home runs /BIP2.60%÷0.912×0.800—×0.9902.26%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 99, 2B 102, 3B 130, K 103, BB 105 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .387 → .326; ISO .136 → .128; BABIP .278 → .243. 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 ROKACL Rangers · 57 PAwOBA .523 → .392 (−130)K% 10.5% → 15.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.53%÷0.990×1.440——15.31%
BB% (unintentional) /PA12.28%÷0.996×0.620—×0.9657.38%
HBP% /PA5.26%—×0.720—×0.9653.66%
Singles /BIP42.50%÷1.012×0.820—×0.96533.23%
Doubles /BIP7.50%÷1.039×0.720—×0.9655.01%
Triples /BIP2.50%÷1.045×0.720—×0.9651.66%
Home runs /BIP2.50%÷1.018×0.780—×0.9651.85%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 102, 2B 108, 3B 109, K 98, BB 99 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .523 → .392; ISO .174 → .127; BABIP .525 → .397. 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 A+Hickory Crawdads · 22 PAwOBA .293 → .229 (−64)K% 22.7% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.73%÷1.007×1.310——29.58%
BB% (unintentional) /PA13.64%÷0.985×0.600—×0.9988.29%
HBP% /PA9.09%—×0.770—×0.9986.99%
Singles /BIP27.27%÷1.039×0.870—×0.99822.80%
Doubles /BIP0.00%÷0.939×0.780—×0.9980.00%
Triples /BIP0.00%÷0.984×0.850—×0.9980.00%
Home runs /BIP0.00%÷1.123×0.880—×0.9980.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 125, 1B 108, 2B 88, 3B 97, K 101, BB 97 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .293 → .229; ISO .000 → .000; BABIP .250 → .211. 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).

2021 ROKACL Rangers · 32 PAwOBA .256 → .172 (−84)K% 12.5% → 18.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷0.988×1.440——18.21%
BB% (unintentional) /PA21.88%÷1.071×0.620—×0.97512.34%
HBP% /PA3.12%—×0.720—×0.9752.19%
Singles /BIP15.00%÷0.994×0.820—×0.97512.06%
Doubles /BIP0.00%÷1.015×0.720—×0.9750.00%
Triples /BIP0.00%÷1.064×0.720—×0.9750.00%
Home runs /BIP0.00%÷1.015×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 99, 2B 103, 3B 113, K 98, BB 114 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .256 → .172; ISO .000 → .000; BABIP .150 → .121. 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 — .