Andrew Pinckney

OF Rochester Red Wings
Age 26 R/R 6'4" / 215 lbs AAA Svc 0.209 · Ctrl thru 2032
Overview
AAA40-MANROOKIEPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202423AAA/AAWSH580.258/.330/.36282768—.232/.288/.318
202524AAAWSH509.269/.350/.431203484—.242/.308/.366
202625AAAWSH414.270/.349/.437162077—.232/.290/.348
202625MLBWSH29.280/.333/.48011119-0.2
2027PROJ30% MLB26MLBWSH46.227/.289/.3431279-0.0
2028PROJ37% MLB27MLBWSH108.227/.289/.3443479-0.0
2029PROJ42% MLB28MLBWSH126.226/.289/.3423579-0.0
Last 3 seasons WAR -0.2  ·  Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.209First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$0.2M2031Ext$0.4M2032Ext$0.6M
Skills · percentileMiLB Statcast 2026 AAA
Max EV99
Speed76
Chase%55
BB%45
Z-Con%28
K%17
Career WAR0.0 WAR median (P10 -0.2 / P90 1.3, comp-based) · star 0% · didn't stick 92%
CompsBrewer Hicklen (age 27) · Tyler Tolbert (age 26) · J.P. Martínez (age 27)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†79
AVG/OBP/SLG.227 / .289 / .343
PA46
HR1
K%35
BB%7
BABIP328
ISO95
MLB%30%
Value2027 · WAR
BAT: -3.9 runs (wOBA-derived runs vs avg)-4BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.6 runs (Defensive runs vs avg)+1FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
0.00.51.00.00.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus
Tools · Contract
ToolsStatcast %ile · 2026
CONTACT
xAVG
350.239
POWER
Barrel%
7411.8
Avg EV
9094.8
SPEED
Sprint
9031.0
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.209 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.0$0.1M+$0.0M (cut)
2028Pre-Arb$0.8M———
2029Pre-Arb$0.8M———
2030Arb-1$0.2M———
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-0.2M +$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)
202322 AAHarrisburg Senators — 1717 4000 040 11 235235235471 308 240 213 15 — — — — — —
202322 A+Wilmington Blue Rocks — 8368 22111 13182 31 324446412858 88429 2216 394 95 — — — — — —
202322 AFredericksburg Nationals — 8273 24603 4165 61 329402534937 205389 205 414 106 — — — — — —
202423 AAARochester Red Wings — 9383 21211 7373 51 253333337671 84444 408 309 45 — — — — — —
202423 AAHarrisburg Senators — 487437 1132037 3613010 229 259329366695 108351 277 313 72 — — — — — —
202524 AAARochester Red Wings — 509450 1219220 4414812 345 269350431781 162356 299 348 84 — — — — — —
202625 MLBWashington Nationals — 2925 7011 1101 11 280333480813 200375 343 333 119 +1 -0 +0 -3 +1 -0.2
202625 AAARochester Red Wings — 414366 9911116 421272 207 270349437786 167369 3110 348 77 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 2925 7011 1101 11 280333480813 200375 343 333 111 +0 -0 +0 -3 +1 -0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202322 AA MLEHarrisburg Senators — 1717 4000 050 11 235235235471 303 290 190 15 — — — — — —
202322 A+ MLEWilmington Blue Rocks — 8373 20111 8242 31 274361356718 82380 2910 308 95 — — — — — —
202322 A MLEFredericksburg Nationals — 8275 20502 2225 61 267329413743 147349 272 325 106 — — — — — —
202423 AAA MLERochester Red Wings — 9385 17211 5463 51 200269282551 82415 495 235 45 — — — — — —
202423 AA MLEHarrisburg Senators — 487449 1071835 2415710 229 238292325617 87350 325 274 72 — — — — — —
202524 AAA MLERochester Red Wings — 509462 1128215 3217312 345 242308366674 123343 346 292 84 — — — — — —
202625 MLB MLEWashington Nationals — 2925 7011 1101 11 280333480813 200375 343 345 119 +1 -0 +0 -3 +1 -0.2
202625 AAA MLERochester Red Wings — 414379 889111 291522 207 232290348639 116351 377 282 77 — — — — — —
202322 A+ MLE3 teams — 182165 43513 10517 103 261330358687 97360 285 305 92 — — — — — —
202322 A+ RAW3 teams — 182158 50714 17387 103 316407449856 133397 219 386 92 — — — — — —
202423 AA MLE2 teams — 580533 1252046 3020413 2710 235292321612 86366 355 268 67 — — — — — —
202423 AA RAW2 teams — 580520 1342248 4316713 2710 258330362691 104363 297 313 67 — — — — — —
202524 AAA MLERochester Red Wings — 509462 1128215 3217312 345 242308366674 123351 346 292 84 — — — — — —
202524 AAA RAWRochester Red Wings — 509450 1219220 4414812 345 269350431781 162356 299 348 84 — — — — — —
202625 AAA MLE2 teams — 443404 959212 301623 218 235293356649 121355 377 286 80 — — — — — —
202625 AAA RAW2 teams — 443391 10611217 431373 218 271348440788 169369 3110 347 80 — — — — — —
202322 A+ MLE3 teams — 182163 43513 10517 103 264330362692 98359 285 305 92 — — — — — —
202423 AA MLE2 teams — 580532 1252046 3020413 2710 235292321613 86360 355 268 67 — — — — — —
202524 AAA MLERochester Red Wings — 509460 1128215 3217312 345 243308367676 124343 346 292 84 — — — — — —
202625 AAA MLE2 teams — 443407 959212 301623 218 233293354647 120353 377 286 80 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 AA MLE2 teams — 580532 1252046 3020413 2710 235292321613 86360 355 268 67 — — — — — —
202524 AAA MLERochester Red Wings — 509460 1128215 3217312 345 243308367676 124343 346 292 84 — — — — — —
202625 AAA MLE2 teams — 443407 959212 301623 218 233293354647 120353 377 286 80 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLEWSH 30% 380347 79929 241296 164 228289345634 117329 346 285 79 -9 +2 +1 -2 +8 0.1
▸ 2027 — real world (MLB)
202726 MLB CTXWSH 30% 4642 9101 3161 21 227289343632 116328 357 284 79 -1 +0 +0 -0 +1 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLEWSH 37% 290265 60717 19974 123 227290345635 118326 337 285 79 -7 +1 +1 -2 +6 -0.0
202928 MLB MLEWSH 42% 300273 62817 20994 113 227289344633 117323 337 285 79 -8 +1 +0 -2 +6 -0.2
203029 MLB MLEWSH 43% 294268 59717 20974 93 224287339626 115318 337 282 77 -8 +1 -0 -2 +6 -0.3
202827 MLB CTXWSH 37% 10898 23303 7362 41 227289344633 117326 336 285 79 -3 +0 +0 -1 +2 -0.0
202928 MLB CTXWSH 42% 126115 25303 8422 51 226289342631 116323 336 284 79 -3 +1 +0 -1 +3 -0.0
203029 MLB CTXWSH 43% 127116 25303 8422 41 224286338624 114317 336 281 77 -3 +0 -0 -1 +3 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 390354 809110 241307 144 226288342630 116320 336 287 78 -9 +1 +0 -5 +8 -0.4
/ 162G— A+C — 650590 13415217 4021712 237 227290346635 119321 336 287 78 -15 +2 +1 -8 +14 -0.6
Career— MLE — 27532512 589681361 17193649 13037 234296345641 110346 346 284 78 -26 +3 +2 -9 +23 -0.8
/ 162G— MLE — 650593 13916314 4022112 319 234296342638 108346 346 284 78 -16 +2 +1 -5 +14 -0.5

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.

2026 AAARochester Red Wings · 414 PAwOBA .340 → .282 (−59)K% 30.7% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.68%÷1.000×1.200——36.81%
BB% (unintentional) /PA10.14%÷1.000×0.690—×1.0187.13%
HBP% /PA0.48%—×0.940—×1.0180.46%
Singles /BIP29.71%÷1.000×0.930×1.039×1.01829.22%
Doubles /BIP4.60%÷1.000×0.830×1.039×1.0184.04%
Triples /BIP0.42%÷1.000×0.970×1.039×1.0180.43%
Home runs /BIP6.69%÷1.000×0.700—×1.0184.77%

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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .340 → .282; ISO .167 → .121; BABIP .369 → .351. 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 AAARochester Red Wings · 509 PAwOBA .341 → .292 (−48)K% 29.1% → 33.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.08%÷1.028×1.200——33.95%
BB% (unintentional) /PA8.64%÷0.978×0.690—×1.0336.30%
HBP% /PA2.36%—×0.940—×1.0332.29%
Singles /BIP29.80%÷0.987×0.930×1.021×1.03329.60%
Doubles /BIP2.98%÷1.000×0.830×1.021×1.0332.61%
Triples /BIP0.66%÷1.150×0.970×1.021×1.0330.59%
Home runs /BIP6.62%÷0.960×0.700—×1.0334.99%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 97, 2B 100, 3B 130, K 106, BB 96 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .341 → .292; ISO .162 → .122; BABIP .356 → .343. 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 AAHarrisburg Senators · 487 PAwOBA .307 → .274 (−33)K% 26.7% → 32.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.69%÷1.008×1.220——32.30%
BB% (unintentional) /PA7.39%÷1.051×0.700—×1.0124.98%
HBP% /PA2.05%—×0.850—×1.0121.77%
Singles /BIP27.04%÷1.010×0.970×1.042×1.01227.37%
Doubles /BIP6.51%÷0.964×0.860×1.042×1.0126.12%
Triples /BIP0.98%÷0.915×0.950×1.042×1.0121.07%
Home runs /BIP2.28%÷0.990×0.780—×1.0121.82%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 102, 2B 93, 3B 83, K 102, BB 110 — 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 ×1.042.

Result: wOBA .307 → .274; ISO .108 → .093; BABIP .351 → .350. 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 AAARochester Red Wings · 93 PAwOBA .301 → .235 (−66)K% 39.8% → 49.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA39.78%÷0.958×1.200——49.81%
BB% (unintentional) /PA7.53%÷0.969×0.690—×1.0485.61%
HBP% /PA3.23%—×0.940—×1.0483.18%
Singles /BIP36.96%÷1.029×0.930—×1.04835.00%
Doubles /BIP4.35%÷0.962×0.830—×1.0483.93%
Triples /BIP2.17%÷1.150×0.970—×1.0481.92%
Home runs /BIP2.17%÷0.986×0.700—×1.0481.62%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 106, 2B 92, 3B 130, K 92, BB 94 — 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).

Result: wOBA .301 → .235; ISO .084 → .059; BABIP .444 → .415. 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+Wilmington Blue Rocks · 83 PAwOBA .385 → .308 (−77)K% 21.7% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.69%÷0.973×1.310——29.21%
BB% (unintentional) /PA15.66%÷1.005×0.600—×0.9989.34%
HBP% /PA2.41%—×0.770—×0.9981.85%
Singles /BIP38.00%÷0.981×0.870—×0.99833.65%
Doubles /BIP2.00%÷0.894×0.780—×0.9981.74%
Triples /BIP2.00%÷0.913×0.850—×0.9981.86%
Home runs /BIP2.00%÷0.913×0.880—×0.9981.92%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 83, 1B 96, 2B 79, 3B 83, K 95, BB 101 — 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 .385 → .308; ISO .088 → .082; BABIP .429 → .380. 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 AFredericksburg Nationals · 82 PAwOBA .403 → .325 (−78)K% 19.5% → 27.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.51%÷0.978×1.360——27.15%
BB% (unintentional) /PA4.88%÷1.126×0.690—×0.9902.96%
HBP% /PA6.10%—×0.780—×0.9904.71%
Singles /BIP26.32%÷1.016×0.920×1.050×0.99024.78%
Doubles /BIP10.53%÷1.065×0.830×1.050×0.9908.53%
Triples /BIP0.00%÷1.150×0.910×1.050×0.9900.00%
Home runs /BIP5.26%÷0.917×0.800—×0.9904.55%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 103, 2B 113, 3B 130, K 96, BB 125 — 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 ×1.050.

Result: wOBA .403 → .325; ISO .205 → .162; BABIP .389 → .349. 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 AAHarrisburg Senators · 17 PAwOBA .207 → .190 (−17)K% 23.5% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.53%÷1.005×1.220——28.57%
BB% (unintentional) /PA0.00%÷1.016×0.700—×1.0270.00%
HBP% /PA0.00%—×0.850—×1.0270.00%
Singles /BIP30.77%÷1.013×0.970—×1.02730.26%
Doubles /BIP0.00%÷1.033×0.860—×1.0270.00%
Triples /BIP0.00%÷0.935×0.950—×1.0270.00%
Home runs /BIP0.00%÷1.115×0.780—×1.0270.00%

Factors used: league row EL. Park (home-season share, regressed): HR 123, 1B 103, 2B 107, 3B 87, K 101, BB 103 — 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).

Result: wOBA .207 → .190; ISO .000 → .000; BABIP .308 → .303. 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).