Gavin Sheets

1B San Diego Padres
Age 31 L/L 6'3" / 235 lbs MLB HR +5% Svc 5.442 · Ctrl thru 2027
Overview
MLB40-MANArb-3FA 2028
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202428MLBCWS501.233/.305/.35710285-1.6
202529MLBSD545.252/.320/.4291921121.1
202630MLBSD419.212/.314/.3971741030.1
2027PROJ31MLBSD372.234/.316/.4031331050.3
2028PROJ32MLBSD350.227/.309/.38811199-0.4
Last 3 seasons WAR -0.5  ·  Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2027Service5.442First FA2028
2027Arb-3$4M
Skills · percentileStatcast 2024-2026
Bat Spd83
xwOBA63
Barrel%45
Avg EV41
Speed32
CompsMasataka Yoshida (age 31) · Luis Jimenez (age 31) · Max Kepler (age 31)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 89105vR 111
AVG/OBP/SLG.234 / .316 / .403
PA372
HR13
K%20
BB%10
BABIP264
ISO176
MLB%100%
Value2027 · WAR
BAT: +2.2 runs (wOBA-derived runs vs avg)+2BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: -1.2 runs (Defensive runs vs avg)-1FLDPOS: -6.6 runs (Positional adjustment)-7POSREP: +8.1 runs (Replacement-level credit)+8REPTotal WAR: +0.70+0.7WAR
trajectory · projected WAR by year
0.7-0.42728
Tools · Splits · ContractCON 55 / POW 45
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT55
xAVG
460.248
POWER45
Barrel%
457.5
Avg EV
4188.5
Bat Spd
8374.8
EYE45
scouting grade only
SPEED50
Sprint
3226.6
Platoon Splits2024-2026 · 1119 PA
vs LHP
vs RHP
Edge
PA
245
874
—
wRC+
75
104
▶▶R
wOBA
279
322
▶R
ISO
116
171
▶▶R
BABIP
280
281
—
K%
20.8%
20.5%
—
BB%
6.1%
8.4%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.442 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2027Arb-3$4M+0.7$3M+$0.0M (cut)
Totals $0.0M $3M +$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)
201721 AKannapolis Intimidators — 218192 511003 20344 00 266347365712 99308 169 323 62 — — — — — —
201721 ROKACL White Sox — 1712 6201 301 00 5006259171.542 417455 018 600 218 — — — — — —
201822 A+Winston-Salem Dash — 497437 1282826 52813 10 293372407779 114344 1610 349 78 — — — — — —
201923 AABirmingham Barons — 527464 12418116 54994 31 267349414762 147305 1910 340 78 — — — — — —
201923 INTLGlendale Desert Dogs — 8172 18500 8230 00 250325319644 69360 2810 293 85 — — — — — —
202125 MLBChicago White Sox — 179160 408011 16402 00 250326506832 256264 229 362 129 +6 +0 -2 -5 +4 0.3
202125 AAACharlotte Knights — 254227 6715011 25550 11 295365507872 211344 2210 381 85 — — — — — —
202226 MLBChicago White Sox — 410377 9119015 27863 00 241297411708 170272 217 313 97 -2 +0 -6 -5 +9 -0.4
202226 AAACharlotte Knights — 3937 10402 260 00 270308541848 270276 155 367 62 — — — — — —
202327 MLBChicago White Sox — 344311 6310010 28661 10 203271331602 129222 198 270 65 -14 +0 -6 -4 +7 -1.7
202428 MLBChicago White Sox — 501451 10524110 431064 22 233305357662 124281 219 298 85 -9 -0 -8 -9 +11 -1.6
202529 MLBSan Diego Padres — 545492 12428119 441075 21 252320429749 177284 208 331 112 +8 +0 -3 -6 +12 1.1
202630 MLBSan Diego Padres — 419363 7716017 49855 40 212314397711 185228 2012 319 103 +2 +1 -4 -7 +9 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 23982154 500105282 20749020 93 232305397702 165261 209 312 98 -7 +1 -30 -35 +52 -2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201721 A MLEKannapolis Intimidators — 218199 44703 13474 00 221282302584 80269 226 260 62 — — — — — —
201721 ROK MLEACL White Sox — 1713 6201 201 00 4625628461.409 385342 012 490 218 — — — — — —
201822 A+ MLEWinston-Salem Dash — 497457 1142415 321243 10 249303339642 90323 256 284 78 — — — — — —
201923 AA MLEBirmingham Barons — 527477 11016113 411204 31 231297350647 119271 238 283 78 — — — — — —
202125 MLB MLEChicago White Sox — 179160 408011 16402 00 250326506832 256264 229 359 129 +6 +0 -2 -5 +4 0.3
202125 AAA MLECharlotte Knights — 254235 581107 17650 11 247298383681 136306 267 294 85 — — — — — —
202226 MLB MLEChicago White Sox — 410377 9119015 27863 00 241297411708 170272 217 311 97 -2 +0 -6 -5 +9 -0.4
202226 AAA MLECharlotte Knights — 3938 8301 170 00 211231368599 158236 183 260 62 — — — — — —
202327 MLB MLEChicago White Sox — 344313 6310010 26661 10 201265329594 128222 198 264 65 -14 +0 -6 -4 +7 -1.7
202428 MLB MLEChicago White Sox — 501453 10524110 411064 22 232301355657 124281 218 294 85 -9 -0 -8 -9 +11 -1.6
202529 MLB MLESan Diego Padres — 545493 12730119 431075 21 258323438762 181284 208 333 112 +8 +0 -3 -6 +12 1.1
202630 MLB MLESan Diego Padres — 419363 7817017 49855 40 215317402719 187228 2012 321 103 +2 +1 -4 -7 +9 0.1
201721 A MLE2 teams — 235212 50904 15475 00 236302335637 99284 206 277 73 — — — — — —
201721 A RAW2 teams — 235204 571204 23345 00 279366397763 118317 1410 343 73 — — — — — —
201822 A+ MLEWinston-Salem Dash — 497457 1142415 321243 10 249303339642 90327 256 284 78 — — — — — —
201822 A+ RAWWinston-Salem Dash — 497437 1282826 52813 10 293372407779 114344 1610 349 78 — — — — — —
201923 AA MLE2 teams — 608551 12618115 471394 31 229294347641 118275 238 283 78 — — — — — —
201923 AA RAW2 teams — 608536 14223116 621224 31 265346401747 136312 2010 334 78 — — — — — —
202125 AAA MLE2 teams — 433395 9719017 331052 11 246307423730 177290 248 321 103 — — — — — —
202125 AAA RAW2 teams — 433387 10723022 41952 11 276349506855 230311 229 373 103 — — — — — —
202226 MLB MLE2 teams — 449415 9922016 28933 00 239291407699 169269 216 306 94 -3 +0 -6 -5 +10 -0.5
202226 MLB RAW2 teams — 449414 10123017 29923 00 244298423721 179273 206 317 94 -3 +0 -6 -5 +10 -0.5
202327 MLB MLEChicago White Sox — 344313 6310010 26661 10 201265329594 128220 198 264 65 -14 +0 -6 -4 +7 -1.7
202327 MLB RAWChicago White Sox — 344311 6310010 28661 10 203271331602 129222 198 270 65 -14 +0 -6 -4 +7 -1.7
202428 MLB MLEChicago White Sox — 501453 10524110 411064 22 232301355657 124279 218 294 85 -9 -0 -8 -9 +11 -1.6
202428 MLB RAWChicago White Sox — 501451 10524110 431064 22 233305357662 124281 219 298 85 -9 -0 -8 -9 +11 -1.6
202529 MLB MLESan Diego Padres — 545493 12730119 431075 21 258323438762 181291 208 333 112 +8 +0 -3 -6 +12 1.1
202529 MLB RAWSan Diego Padres — 545492 12428119 441075 21 252320429749 177284 208 331 112 +8 +0 -3 -6 +12 1.1
202630 MLB MLESan Diego Padres — 419363 7817017 49855 40 215317402719 187232 2012 321 103 +2 +1 -4 -7 +9 0.1
202630 MLB RAWSan Diego Padres — 419363 7716017 49855 40 212314397711 185228 2012 319 103 +2 +1 -4 -7 +9 0.1
201721 A MLE2 teams — 235213 50904 15475 00 235302333635 99274 206 277 73 — — — — — —
201822 A+ MLEWinston-Salem Dash — 497459 1142415 321243 10 248303338641 89323 256 284 78 — — — — — —
201923 AA MLE2 teams — 608552 12618115 471394 31 228294346640 118271 238 283 78 — — — — — —
202125 AAA MLE2 teams — 433395 9719017 331052 11 246307423730 177288 248 321 103 — — — — — —
202226 MLB MLE2 teams — 449415 9922016 28933 00 239291407699 169269 216 306 94 — — — — — —
202327 MLB MLEChicago White Sox — 344314 6310010 26661 10 201265328593 127222 198 264 65 — — — — — —
202428 MLB MLEChicago White Sox — 501451 10524110 411064 22 233301357658 124281 218 294 85 — — — — — —
202529 MLB MLESan Diego Padres — 545492 12730119 431075 21 258323439762 181284 208 333 112 — — — — — —
202630 MLB MLESan Diego Padres — 419362 7817017 49855 40 215317403720 188228 2012 321 103 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 MLB MLEChicago White Sox — 501451 10524110 411064 22 233301357658 124281 218 294 85 — — — — — —
202529 MLB MLESan Diego Padres — 545492 12730119 431075 21 258323439762 181284 208 333 112 — — — — — —
202630 MLB MLESan Diego Padres — 419362 7817017 49855 40 215317403720 188228 2012 321 103 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLESD 100% 461409 9722115 44945 41 238319408727 170270 2010 323 105 +3 +0 -2 -8 +10 0.7
▸ 2027 — real world (MLB)
202731 MLB CTXSD 100% 372329 7817113 36754 31 234316403719 169264 2010 320 105 +2 +0 -1 -7 +8 0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLESD 100% 350311 7116011 33733 11 231312392704 161264 219 314 99 -1 -0 -5 -6 +8 -0.4
202832 MLB CTXSD 100% 350311 7015011 33733 11 227309388696 161258 219 311 99 -1 -0 -5 -6 +8 -0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 27482465 570120293 24056323 104 231305395700 163261 209 312 91 -7 +0 -34 -42 +60 -2.4
/ 162G— A+C — 650583 13428022 571335 21 230303391694 161259 209 312 91 -2 +0 -8 -10 +14 -0.6
Career— MLE — 47534292 10092075136 383102039 187 235304381684 146275 218 303 91 -5 +1 -35 -48 +68 -2.1
/ 162G— MLE — 650587 13828119 521395 21 235303383686 148274 218 303 91 -1 +0 -7 -10 +14 -0.4

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.

2022 AAACharlotte Knights · 39 PAwOBA .356 → .260 (−96)K% 15.4% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.38%÷0.975×1.200——18.94%
BB% (unintentional) /PA5.13%÷1.028×0.690—×1.0183.50%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP12.90%÷1.003×0.930—×1.01812.18%
Doubles /BIP12.90%÷1.028×0.830—×1.01810.61%
Triples /BIP0.00%÷0.900×0.970—×1.0180.00%
Home runs /BIP6.45%÷1.421×0.700—×1.0183.23%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — 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).

Result: wOBA .356 → .260; ISO .270 → .166; BABIP .276 → .236. 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 AAACharlotte Knights · 254 PAwOBA .373 → .294 (−79)K% 21.7% → 25.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.65%÷1.011×1.200——25.71%
BB% (unintentional) /PA9.84%÷1.053×0.690—×1.0336.66%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP23.84%÷0.986×0.930×0.997×1.03323.15%
Doubles /BIP8.72%÷1.128×0.830×0.997×1.0336.61%
Triples /BIP0.00%÷1.020×0.920×0.997×1.0330.00%
Home runs /BIP6.40%÷1.190×0.700—×1.0333.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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 ×0.997.

Result: wOBA .373 → .294; ISO .211 → .138; BABIP .344 → .306. 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 AABirmingham Barons · 527 PAwOBA .334 → .283 (−51)K% 18.8% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.79%÷1.007×1.220——22.75%
BB% (unintentional) /PA10.25%÷0.929×0.680—×1.0277.70%
HBP% /PA0.76%—×0.840—×1.0270.65%
Singles /BIP24.38%÷0.998×0.920×0.950×1.02721.92%
Doubles /BIP4.93%÷1.009×0.910×0.950×1.0274.34%
Triples /BIP0.27%÷1.150×0.880×0.950×1.0270.20%
Home runs /BIP4.38%÷0.993×0.800—×1.0273.63%

Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — 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 ×0.950.

Result: wOBA .334 → .283; ISO .147 → .122; BABIP .305 → .271. 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).

2018 A+Winston-Salem Dash · 497 PAwOBA .344 → .284 (−59)K% 16.3% → 24.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.30%÷0.928×1.420——24.93%
BB% (unintentional) /PA10.46%÷1.049×0.630—×1.0126.36%
HBP% /PA0.60%—×0.860—×1.0120.53%
Singles /BIP25.84%÷0.984×0.940×0.996×1.01224.89%
Doubles /BIP7.87%÷0.939×0.830×0.996×1.0127.00%
Triples /BIP0.56%÷1.150×0.800×0.996×1.0120.39%
Home runs /BIP1.69%÷1.014×0.900—×1.0121.51%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .344 → .284; ISO .114 → .096; BABIP .344 → .323. 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).

2017 AKannapolis Intimidators · 218 PAwOBA .314 → .260 (−54)K% 15.6% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.60%÷0.979×1.340——21.35%
BB% (unintentional) /PA8.72%÷0.975×0.660—×1.0155.99%
HBP% /PA1.83%—×0.770—×1.0151.43%
Singles /BIP24.05%÷1.001×0.920×0.970×1.01521.76%
Doubles /BIP6.33%÷1.070×0.820×0.970×1.0154.78%
Triples /BIP0.00%÷1.150×0.940×0.970×1.0150.00%
Home runs /BIP1.90%÷0.824×0.820—×1.0151.92%

Factors used: league row SAL. Park (home-season share, regressed): HR 65, 1B 100, 2B 114, 3B 130, K 96, BB 95 — 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 ×0.970.

Result: wOBA .314 → .260; ISO .099 → .085; BABIP .308 → .269. 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).

2017 ROKACL White Sox · 17 PAwOBA .584 → .490 (−94)K% 0.0% → 0.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA0.00%÷1.000×1.440——0.00%
BB% (unintentional) /PA17.65%÷1.000×0.620—×0.98510.78%
HBP% /PA5.88%—×0.720—×0.9854.17%
Singles /BIP25.00%÷1.000×0.820—×0.98520.19%
Doubles /BIP16.67%÷1.000×0.720—×0.98511.82%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP8.33%÷1.000×0.780—×0.9856.40%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .584 → .490; ISO .417 → .374; BABIP .455 → .342. 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 — .