Chuckie Robinson

C Gwinnett Stripers
Age 32 R/R 6'0" / 215 lbs AAA Svc 0.423 · Ctrl thru 2032
Overview
AAAPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202429AAACWS216.246/.296/.3827042—.201/.235/.299
202429MLBCWS76.129/.197/.12900-4-0.1
202530AAALAD317.261/.331/.3635160—.228/.277/.299
202631AAA/INTL2 orgs225.260/.363/.4176083—.189/.265/.317
202631MLBLAD26.087/.087/.08700-66-0.0
2027PROJ10% MLB32MLBATL16.201/.255/.3220061-0.0
2028PROJ27% MLB33MLBATL35.197/.251/.3121057-0.2
Last 3 seasons WAR -0.1  ·  Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.423First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$0.8M2030Ext$0.2M2031Ext$0.4M2032Ext$0.6M
Skills · percentileMiLB Statcast 2026 AAA
K%69
Whiff%59
Max EV56
BB%54
Z-Con%48
Chase%40
CompsCarlos Maldonado (age 32) · Tuffy Gosewisch (age 32) · Jeff Mathis (age 32)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†61
AVG/OBP/SLG.201 / .255 / .322
PA16
HR0
K%25
BB%6
BABIP247
ISO126
MLB%10%
Value2027 · WAR
BAT: -7.1 runs (wOBA-derived runs vs avg)-7BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.8 runs (Positional adjustment)+3POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus
Tools · Splits · ContractCON 50 / POW 40
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
100.165
POWER40
Barrel%
101.5
Avg EV
1080.9
EYE40
scouting grade only
SPEED45
Sprint
1024.6
Platoon Splits2024 · 76 PA
vs LHP
vs RHP
Edge
PA
24
52
—
wRC+
-24
3
▶▶R
wOBA
133
173
▶▶R
ISO
—
—
—
BABIP
143
194
▶▶R
K%
33.3%
23.1%
▶▶R
BB%
4.2%
7.7%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2022
Service   0.423 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M———
2028Pre-Arb$0.8M———
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-0.8M +$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. 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)
201722 AQuad Cities River Bandits — 468430 11832215 31985 71 274330463793 188324 217 349 64 — — — — — —
201823 A+Buies Creek Astros — 284260 621017 21581 34 238298365663 127279 207 297 40 — — — — — —
201924 AACorpus Christi Hooks — 409374 811717 251187 91 217278324602 107294 296 272 24 — — — — — —
201924 INTLCanberra Cavalry — 11195 25405 12173 20 263364463827 200274 1511 366 134 — — — — — —
202126 AAChattanooga Lookouts — 244210 52808 28466 22 248352400752 152282 1911 342 76 — — — — — —
202227 MLBCincinnati Reds — 6059 8202 0170 00 136136271407 136150 280 172 0 -7 +0 +2 +5 +1 0.1
202227 AAALouisville Bats — 9387 22512 5191 00 253301402703 149303 205 313 53 — — — — — —
202227 AAChattanooga Lookouts — 126116 32503 9301 42 276333397730 121349 247 329 65 — — — — — —
202328 AAALouisville Bats — 413369 10716213 32778 72 290359450809 160332 198 358 89 — — — — — —
202328 INTLGigantes del Cibao — 5249 9400 3150 00 184231265496 82265 296 226 39 — — — — — —
202429 MLBChicago White Sox — 7670 9000 5201 00 129197129326 180 267 163 -4 -9 +0 +2 +5 +2 -0.1
202429 AAACharlotte Knights — 216199 49417 13561 02 246296382678 136302 266 299 42 — — — — — —
202530 AAAOklahoma City Comets — 317284 741025 25795 10 261331363694 102342 258 313 60 — — — — — —
202631 MLBLos Angeles Dodgers — 2623 2000 050 00 878787174 111 190 70 -66 -5 +0 +0 +4 +1 -0.0
202631 AAAGwinnett Stripers — 183157 36626 21353 00 229331408739 178254 1911 329 60 — — — — — —
202631 INTLAguilas de Mexicali — 4235 14200 760 00 400500457957 57483 1417 436 181 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 162152 19202 5421 00 125158178336 53157 263 151 -11 -21 +0 +3 +15 +4 0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201722 A MLEQuad Cities River Bandits — 468441 9526110 211265 71 215259347606 132277 274 263 64 — — — — — —
201823 A+ MLEBuies Creek Astros — 284268 51816 13841 34 190230295525 104244 305 227 40 — — — — — —
201924 AA MLECorpus Christi Hooks — 409382 641315 171517 91 168217246463 79250 374 203 24 — — — — — —
202126 AA MLEChattanooga Lookouts — 244218 47606 20546 22 216299326625 110256 228 281 76 — — — — — —
202227 MLB MLECincinnati Reds — 6059 8202 0170 00 136136271407 136150 280 168 0 -7 +0 +2 +5 +1 0.1
202227 AAA MLELouisville Bats — 9389 19411 3241 00 213247315562 101279 263 247 53 — — — — — —
202227 AA MLEChattanooga Lookouts — 126119 28402 6361 42 235278319597 84319 295 264 65 — — — — — —
202328 AAA MLELouisville Bats — 413380 991529 21928 72 261313382695 121311 225 300 89 — — — — — —
202429 MLB MLEChicago White Sox — 7670 9000 5201 00 129197129326 180 267 163 -4 -9 +0 +2 +5 +2 -0.1
202429 AAA MLECharlotte Knights — 216204 41315 8681 02 201235299534 98261 314 230 42 — — — — — —
202530 AAA MLEOklahoma City Comets — 317294 67823 15945 10 228277299576 71314 305 257 60 — — — — — —
202631 MLB MLELos Angeles Dodgers — 2623 2000 050 00 878787174 111 190 70 -66 -5 +0 +0 +4 +1 -0.0
202631 AAA MLEGwinnett Stripers — 183164 31524 14423 00 189265317582 128220 238 257 60 — — — — — —
201722 A MLEQuad Cities River Bandits — 468441 9526110 211265 71 215259347606 132278 274 263 64 — — — — — —
201722 A RAWQuad Cities River Bandits — 468430 11832215 31985 71 274330463793 188324 217 349 64 — — — — — —
201823 A+ MLEBuies Creek Astros — 284268 51816 13841 34 190230295525 104250 305 227 40 — — — — — —
201823 A+ RAWBuies Creek Astros — 284260 621017 21581 34 238298365663 127279 207 297 40 — — — — — —
201924 AA MLE2 teams — 520485 811716 2119110 111 167217243460 76258 374 203 24 — — — — — —
201924 AA RAW2 teams — 520469 10621112 3713510 111 226297352648 126289 267 292 24 — — — — — —
202126 AA MLEChattanooga Lookouts — 244218 47606 20546 22 216299326625 110259 228 281 76 — — — — — —
202126 AA RAWChattanooga Lookouts — 244210 52808 28466 22 248352400752 152282 1911 342 76 — — — — — —
202227 AA MLE3 teams — 279267 541015 9772 42 202234303537 101265 283 238 47 — — — — — —
202227 AA RAW3 teams — 279262 621217 14662 42 237281370651 134291 245 290 47 — — — — — —
202328 AAA MLE2 teams — 465430 11116210 231048 72 258308374682 116316 225 300 89 — — — — — —
202328 AAA RAW2 teams — 465418 11620213 35928 72 278345428773 151325 208 343 89 — — — — — —
202429 AAA MLE2 teams — 292274 50315 13882 02 182225255480 73245 304 212 30 — — — — — —
202429 AAA RAW2 teams — 292269 58417 18762 02 216270316586 100270 266 264 30 — — — — — —
202530 AAA MLEOklahoma City Comets — 317294 67823 15945 10 228277299576 71322 305 257 60 — — — — — —
202530 AAA RAWOklahoma City Comets — 317284 741025 25795 10 261331363694 102342 258 313 60 — — — — — —
202631 AAA MLE3 teams — 251227 40625 16573 00 176240286526 110210 236 234 44 — — — — — —
202631 AAA RAW3 teams — 251215 52826 28463 00 242337381719 140279 1811 320 44 — — — — — —
201722 A MLEQuad Cities River Bandits — 468439 9526110 211265 71 216259349608 132277 274 263 64 — — — — — —
201823 A+ MLEBuies Creek Astros — 284268 51816 13841 34 190230295525 104244 305 227 40 — — — — — —
201924 AA MLE2 teams — 520484 811716 2119110 111 167217244461 76250 374 203 24 — — — — — —
202126 AA MLEChattanooga Lookouts — 244216 47606 20546 22 218299329628 111256 228 281 76 — — — — — —
202227 AA MLE3 teams — 279266 541015 9772 42 203234305538 102269 283 238 47 — — — — — —
202328 AAA MLE2 teams — 465431 11116210 231048 72 258308374682 116311 225 300 89 — — — — — —
202429 AAA MLE2 teams — 292275 50315 13882 02 182225255479 73240 304 212 30 — — — — — —
202530 AAA MLEOklahoma City Comets — 317294 67823 15945 10 228277299576 71314 305 257 60 — — — — — —
202631 AAA MLE3 teams — 251230 40625 16573 00 174240283522 109206 236 234 44 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202429 AAA MLE2 teams — 292275 50315 13882 02 182225255479 73240 304 212 30 — — — — — —
202530 AAA MLEOklahoma City Comets — 317294 67823 15945 10 228277299576 71314 305 257 60 — — — — — —
202631 AAA MLE3 teams — 251230 40625 16573 00 174240283522 109206 236 234 44 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202732 MLB MLEATL 10% 259240 48726 14673 10 201255322578 122247 265 259 61 -12 +0 +0 +5 +6 -0.1
▸ 2027 — real world (MLB)
202732 MLB CTXATL 10% 1615 2000 140 00 201255322578 122247 256 259 61 -1 +0 +0 +0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202833 MLB MLEATL 27% 129120 24313 7341 00 197251312563 115245 265 253 57 -7 +0 -4 +2 +3 -0.6
202833 MLB CTXATL 27% 3533 6101 290 00 197251312563 115245 266 253 57 -2 +0 -1 +1 +1 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 197185 25303 7511 00 135171200371 65168 264 169 54 -23 +0 +2 +15 +4 -0.2
/ 162G— A+C — 650610 8310010 231683 00 136171202373 66169 264 169 54 -77 +0 +7 +50 +14 -0.5
Career— MLE — 34043167 6491071363 16794945 3614 205255307561 102270 285 247 54 -35 +0 -1 +20 +10 -0.7
/ 162G— MLE — 650605 12320212 321819 73 203254302557 99267 285 247 54 -51 +0 -1 +29 +14 -1.0

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 AAAGwinnett Stripers · 183 PAwOBA .324 → .257 (−67)K% 19.1% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.13%÷1.000×1.200——22.95%
BB% (unintentional) /PA11.48%÷1.000×0.690—×0.9527.54%
HBP% /PA1.64%—×0.940—×0.9521.47%
Singles /BIP18.03%÷1.000×0.930×1.014×0.95216.19%
Doubles /BIP4.92%÷1.000×0.830×1.014×0.9523.94%
Triples /BIP1.64%÷1.000×0.970×1.014×0.9521.54%
Home runs /BIP4.92%÷1.000×0.700—×0.9523.28%

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 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .324 → .257; ISO .178 → .134; BABIP .254 → .220. 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 AAAOklahoma City Comets · 317 PAwOBA .307 → .257 (−50)K% 24.9% → 29.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.92%÷1.015×1.200——29.46%
BB% (unintentional) /PA7.89%÷1.083×0.690—×0.9624.83%
HBP% /PA1.58%—×0.940—×0.9621.43%
Singles /BIP27.80%÷0.951×0.930×1.006×0.96226.30%
Doubles /BIP4.88%÷0.969×0.830×1.006×0.9624.04%
Triples /BIP0.98%÷1.150×0.970×1.006×0.9620.80%
Home runs /BIP2.44%÷0.956×0.700—×0.9621.72%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .307 → .257; ISO .102 → .077; BABIP .342 → .314. 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 AAACharlotte Knights · 216 PAwOBA .295 → .230 (−65)K% 25.9% → 31.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.93%÷0.991×1.200——31.39%
BB% (unintentional) /PA6.02%÷1.025×0.690—×0.9723.94%
HBP% /PA0.46%—×0.940—×0.9720.42%
Singles /BIP25.87%÷1.033×0.930×1.010×0.97222.88%
Doubles /BIP2.80%÷0.994×0.830×1.010×0.9722.29%
Triples /BIP0.70%÷1.049×0.970×1.010×0.9720.64%
Home runs /BIP4.90%÷1.016×0.700—×0.9723.28%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 107, 2B 99, 3B 110, K 98, BB 105 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .295 → .230; ISO .136 → .093; BABIP .302 → .261. 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 AAALouisville Bats · 413 PAwOBA .350 → .300 (−50)K% 18.6% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.64%÷1.004×1.200——22.28%
BB% (unintentional) /PA7.26%÷0.993×0.690—×0.9824.96%
HBP% /PA1.94%—×0.940—×0.9821.79%
Singles /BIP26.03%÷0.998×0.930×1.050×0.98225.01%
Doubles /BIP5.48%÷0.938×0.830×1.050×0.9825.00%
Triples /BIP0.68%÷1.042×0.970×1.050×0.9820.66%
Home runs /BIP4.45%÷1.054×0.700—×0.9822.90%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 100, 2B 88, 3B 108, K 101, BB 99 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .350 → .300; ISO .160 → .119; BABIP .332 → .311. 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 AAChattanooga Lookouts · 126 PAwOBA .320 → .264 (−55)K% 23.8% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.81%÷1.010×1.220——28.76%
BB% (unintentional) /PA7.14%÷1.019×0.680—×0.9684.61%
HBP% /PA0.79%—×0.840—×0.9680.65%
Singles /BIP27.91%÷1.002×0.920×1.050×0.96826.03%
Doubles /BIP5.81%÷1.084×0.910×1.050×0.9684.96%
Triples /BIP0.00%÷0.912×0.880×1.050×0.9680.00%
Home runs /BIP3.49%÷0.990×0.800—×0.9682.73%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 100, 2B 117, 3B 82, K 102, BB 104 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .320 → .264; ISO .121 → .094; BABIP .349 → .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).

2022 AAALouisville Bats · 93 PAwOBA .304 → .247 (−57)K% 20.4% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.43%÷0.958×1.200——25.60%
BB% (unintentional) /PA5.38%÷1.023×0.690—×0.9923.60%
HBP% /PA1.08%—×0.940—×0.9921.00%
Singles /BIP20.59%÷0.996×0.930×1.018×0.99219.43%
Doubles /BIP7.35%÷0.955×0.830×1.018×0.9926.46%
Triples /BIP1.47%÷0.900×0.970×1.018×0.9921.60%
Home runs /BIP2.94%÷1.282×0.700—×0.9921.59%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .304 → .247; ISO .149 → .108; BABIP .303 → .279. 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 AAChattanooga Lookouts · 244 PAwOBA .333 → .281 (−53)K% 18.9% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.85%÷1.040×1.220——22.11%
BB% (unintentional) /PA11.48%÷0.936×0.690—×0.9788.27%
HBP% /PA2.46%—×0.850—×0.9782.04%
Singles /BIP21.95%÷1.011×0.940×1.050×0.97820.95%
Doubles /BIP4.88%÷1.183×0.870×1.050×0.9783.68%
Triples /BIP0.00%÷0.912×0.920×1.050×0.9780.00%
Home runs /BIP4.88%÷0.950×0.780—×0.9783.92%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 102, 2B 137, 3B 82, K 108, BB 87 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .333 → .281; ISO .152 → .121; BABIP .282 → .256. 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).

2019 AACorpus Christi Hooks · 409 PAwOBA .267 → .203 (−64)K% 28.9% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.85%÷0.958×1.220——36.75%
BB% (unintentional) /PA6.11%÷1.043×0.700—×0.9984.10%
HBP% /PA1.71%—×0.870—×0.9981.49%
Singles /BIP21.88%÷1.011×0.920×0.950×0.99818.87%
Doubles /BIP6.64%÷0.949×0.840×0.950×0.9985.57%
Triples /BIP0.39%÷0.995×0.940×0.950×0.9980.35%
Home runs /BIP2.73%÷1.067×0.800—×0.9982.05%

Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 99, K 92, BB 109 — 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 ×0.950.

Result: wOBA .267 → .203; ISO .107 → .078; BABIP .294 → .250. 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 — .