Griffin Lockwood-Powell

C Tulsa Drillers
Age 29 R/R 6'2" / 195 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
OGV OFP35OGV rank#2104MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202426AALAD469.231/.305/.36914238—.175/.230/.272
202527AALAD334.226/.351/.3265051—.187/.270/.264
202628AAA/AALAD333.279/.388/.4509189—.231/.315/.361
2027PROJMLE29MLBLAD3.208/.285/.31700730.0
2028PROJ23% MLB30MLBLAD48.207/.283/.3141072-0.0
Next 2 projected WAR -0.0Projected 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 AAA
K%81
Chase%68
Whiff%64
BB%61
Speed36
Max EV21
Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%
CompsMichael Papierski (age 28) · Tony Cruz (age 30) · Bryan Holaday (age 29)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†73
AVG/OBP/SLG.208 / .285 / .317
PA3
HR0
K%33
BB%8
BABIP265
ISO108
MLB%2%
Value2027 · WAR
BAT: -4.9 runs (wOBA-derived runs vs avg)-5BATRUN: -0.0 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: +0.20+0.2WAR
trajectory · projected WAR by year
0.20.02728
Tools · ContractCON 40 / POW 35
Toolsscout grade
CONTACT40
scouting grade only
POWER35
scouting grade only
EYE60
scouting grade only
SPEED40
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. 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)
202224 ARancho Cucamonga Quakes — 135105 29407 23315 00 276429514943 238319 2317 413 88 — — — — — —
202224 ROKACL Dodgers — 1810 4101 840 00 4006678001.467 400600 2244 598 192 — — — — — —
202325 A+Great Lakes Loons — 395323 7723113 60877 11 238369437806 198281 2215 358 75 — — — — — —
202426 AATulsa Drillers — 469420 9716014 401085 21 231305369674 138275 239 303 38 — — — — — —
202527 AATulsa Drillers — 334279 631115 53671 00 226351326678 100279 2016 316 51 — — — — — —
202628 AAAOklahoma City Comets — 10389 24801 12172 10 270369393762 124324 1712 347 83 — — — — — —
202628 AATulsa Drillers — 230191 541308 31535 00 283396476873 194346 2313 385 91 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202224 A MLERancho Cucamonga Quakes — 135114 23304 14455 00 202316333649 132282 3310 298 88 — — — — — —
202224 ROK MLEACL Dodgers — 1813 4101 560 00 3085006151.115 308436 3328 452 192 — — — — — —
202325 A+ MLEGreat Lakes Loons — 395341 6517111 421107 11 191292343635 152232 2811 279 75 — — — — — —
202426 AA MLETulsa Drillers — 469434 7612010 261375 21 175230272502 97227 296 225 38 — — — — — —
202527 AA MLETulsa Drillers — 334299 56914 33831 00 187270264534 77241 2510 244 51 — — — — — —
202628 AAA MLEOklahoma City Comets — 10393 23701 8202 10 247320355675 108301 198 291 83 — — — — — —
202628 AA MLETulsa Drillers — 230201 451006 21655 00 224313363676 139287 289 302 91 — — — — — —
202224 A MLE2 teams — 153127 27405 19515 00 213338362700 150301 3312 316 100 — — — — — —
202224 A RAW2 teams — 153115 33508 31355 00 287457539996 252338 2320 434 100 — — — — — —
202325 A+ MLEGreat Lakes Loons — 395341 6517111 421107 11 191292343635 152240 2811 279 75 — — — — — —
202325 A+ RAWGreat Lakes Loons — 395323 7723113 60877 11 238369437806 198281 2215 358 75 — — — — — —
202426 AA MLETulsa Drillers — 469434 7612010 261375 21 175230272502 97227 296 225 38 — — — — — —
202426 AA RAWTulsa Drillers — 469420 9716014 401085 21 231305369674 138275 239 303 38 — — — — — —
202527 AA MLETulsa Drillers — 334299 56914 33831 00 187270264534 77244 2510 244 51 — — — — — —
202527 AA RAWTulsa Drillers — 334279 631115 53671 00 226351326678 100279 2016 316 51 — — — — — —
202628 AA MLE2 teams — 333294 681707 29857 10 231315361676 129298 269 299 88 — — — — — —
202628 AA RAW2 teams — 333280 782109 43707 10 279388450838 171338 2113 373 88 — — — — — —
202224 A MLE2 teams — 153128 27405 19515 00 211338359697 148300 3312 316 100 — — — — — —
202325 A+ MLEGreat Lakes Loons — 395343 6517111 421107 11 190292341633 152232 2811 279 75 — — — — — —
202426 AA MLETulsa Drillers — 469435 7612010 261375 21 175230271501 97227 296 225 38 — — — — — —
202527 AA MLETulsa Drillers — 334297 56914 33831 00 189270266536 77241 2510 244 51 — — — — — —
202628 AA MLE2 teams — 333294 681707 29857 10 231315361676 129291 269 299 88 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202426 AA MLETulsa Drillers — 469435 7612010 261375 21 175230271501 97227 296 225 38 — — — — — —
202527 AA MLETulsa Drillers — 334297 56914 33831 00 189270266536 77241 2510 244 51 — — — — — —
202628 AA MLE2 teams — 333294 681707 29857 10 231315361676 129291 269 299 88 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202729 MLB MLELAD 2% 380341 721517 32974 21 211288321609 110271 268 277 73 -12 +0 +0 +7 +8 0.2
▸ 2027 — real world (MLB)
202729 MLB CTXLAD 2% 33 0000 010 00 208285317602 109265 330 274 73 -0 +0 +0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202830 MLB MLELAD 23% 212190 39804 18542 10 210286317603 108270 258 274 72 -7 +0 -2 +4 +5 -0.1
202830 MLB CTXLAD 23% 4843 9201 4121 00 207283314597 107264 258 272 72 -2 +0 -0 +1 +1 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 4843 9201 4121 00 209292326617 116267 258 272 66 -2 +0 -0 +1 +1 -0.0
/ 162G— A+C — 650582 12227014 5416214 00 210292328620 119266 258 272 66 -22 +0 -6 +12 +14 -0.3
Career— MLE — 20511824 36073244 18056029 62 197280312592 115255 279 266 66 -12 +0 -2 +7 +8 0.1
/ 162G— MLE — 650578 11423114 571779 21 197279313592 116255 279 266 66 -21 +1 -4 +12 +14 0.1

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 AATulsa Drillers · 230 PAwOBA .380 → .302 (−78)K% 23.0% → 28.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.04%÷1.000×1.220——28.11%
BB% (unintentional) /PA13.48%÷1.000×0.700—×0.9689.13%
HBP% /PA2.17%—×0.870—×0.9681.83%
Singles /BIP23.91%÷1.000×0.920×0.969×0.96820.63%
Doubles /BIP9.42%÷1.000×0.840×0.969×0.9687.42%
Triples /BIP0.00%÷1.000×0.940×0.969×0.9680.00%
Home runs /BIP5.80%÷1.000×0.800—×0.9684.49%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.969.

Result: wOBA .380 → .302; ISO .194 → .153; BABIP .346 → .287. 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 AAAOklahoma City Comets · 103 PAwOBA .339 → .291 (−48)K% 16.5% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.50%÷1.000×1.200——19.81%
BB% (unintentional) /PA11.65%÷1.000×0.690—×0.9927.97%
HBP% /PA1.94%—×0.940—×0.9921.81%
Singles /BIP20.83%÷1.000×0.930×1.050×0.99220.18%
Doubles /BIP11.11%÷1.000×0.830×1.050×0.9929.61%
Triples /BIP0.00%÷1.000×0.970×1.050×0.9920.00%
Home runs /BIP1.39%÷1.000×0.700—×0.9920.96%

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 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 ×1.050.

Result: wOBA .339 → .291; ISO .124 → .102; BABIP .324 → .301. 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 AATulsa Drillers · 334 PAwOBA .308 → .244 (−64)K% 20.1% → 24.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.06%÷0.984×1.220——24.88%
BB% (unintentional) /PA15.57%÷1.061×0.700—×0.97810.04%
HBP% /PA0.30%—×0.870—×0.9780.25%
Singles /BIP21.70%÷0.968×0.920×0.961×0.97819.37%
Doubles /BIP5.19%÷1.014×0.840×0.961×0.9784.04%
Triples /BIP0.47%÷1.137×0.940×0.961×0.9780.37%
Home runs /BIP2.36%÷0.957×0.800—×0.9781.93%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 94, 2B 103, 3B 127, K 97, BB 112 — 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 ×0.961.

Result: wOBA .308 → .244; ISO .100 → .082; BABIP .279 → .241. 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 AATulsa Drillers · 469 PAwOBA .297 → .225 (−72)K% 23.0% → 29.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.03%÷0.959×1.220——29.28%
BB% (unintentional) /PA8.53%÷1.048×0.700—×0.9885.63%
HBP% /PA1.07%—×0.870—×0.9880.92%
Singles /BIP21.47%÷1.042×0.920×0.967×0.98818.10%
Doubles /BIP5.13%÷1.003×0.840×0.967×0.9884.10%
Triples /BIP0.00%÷1.142×0.940×0.967×0.9880.00%
Home runs /BIP4.49%÷1.063×0.800—×0.9883.34%

Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 108, 2B 101, 3B 128, K 92, BB 110 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .297 → .225; ISO .138 → .101; BABIP .275 → .227. 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+Great Lakes Loons · 395 PAwOBA .354 → .279 (−75)K% 22.0% → 27.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.03%÷1.004×1.270——27.86%
BB% (unintentional) /PA15.19%÷0.992×0.710—×0.97810.63%
HBP% /PA1.77%—×0.790—×0.9781.37%
Singles /BIP16.95%÷0.975×0.920×0.958×0.97814.99%
Doubles /BIP9.75%÷1.011×0.810×0.958×0.9787.32%
Triples /BIP0.42%÷0.997×0.850×0.958×0.9780.34%
Home runs /BIP5.51%÷0.951×0.800—×0.9784.53%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 95, 2B 102, 3B 99, K 101, BB 98 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .354 → .279; ISO .198 → .159; BABIP .281 → .232. 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 ARancho Cucamonga Quakes · 135 PAwOBA .408 → .298 (−110)K% 23.0% → 33.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.96%÷0.930×1.360——33.59%
BB% (unintentional) /PA17.04%÷1.072×0.690—×0.98010.74%
HBP% /PA3.70%—×0.780—×0.9802.83%
Singles /BIP24.32%÷0.981×0.920×1.007×0.98022.51%
Doubles /BIP5.41%÷0.923×0.830×1.007×0.9804.79%
Triples /BIP0.00%÷1.150×0.910×1.007×0.9800.00%
Home runs /BIP9.46%÷1.247×0.800—×0.9805.95%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 130, K 86, BB 114 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .408 → .298; ISO .238 → .154; BABIP .319 → .282. 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 Dodgers · 18 PAwOBA .585 → .452 (−133)K% 22.2% → 32.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.22%÷0.998×1.440——32.07%
BB% (unintentional) /PA44.44%÷0.973×0.620—×0.95527.04%
HBP% /PA0.00%—×0.720—×0.9550.00%
Singles /BIP33.33%÷1.029×0.820—×0.95525.37%
Doubles /BIP16.67%÷0.931×0.720—×0.95512.31%
Triples /BIP0.00%÷0.900×0.720—×0.9550.00%
Home runs /BIP16.67%÷0.912×0.780—×0.95513.62%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 106, 2B 86, 3B 80, K 100, BB 95 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .585 → .452; ISO .400 → .391; BABIP .600 → .436. 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).