Kyle Garlick

PosLF
B/TR/R
Born1992-01-26
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
INTL
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202331AAAMIN355.242/.352/.45014259—.182/.264/.309
202331MLBMIN30.179/.233/.4292081-0.5
202432AAAARI623.237/.332/.44428144—.166/.233/.289
202634INTLYaquis de Obr…33.241/.312/.3791091—
Last 3 seasons WAR -0.5
Contract
No contract data on file.
Skills · percentileStatcast 2021-2023
Barrel%82
xwOBA65
Avg EV59
Speed22

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)
201523 A+Rancho Cucamonga Quakes — 6154 21405 4201 00 3894417411.181 352516 337 491 147 — — — — — —
201523 AGreat Lakes Loons — 162147 481224 10354 22 327383517900 190407 226 395 91 — — — — — —
201523 ROKOgden Raptors — 3531 12520 240 00 3874246771.102 290414 116 445 116 — — — — — —
201624 AATulsa Drillers — 319292 832928 18836 10 284339479818 195368 266 357 90 — — — — — —
201624 A+Rancho Cucamonga Quakes — 215196 6013111 15574 00 306367551918 245383 277 401 88 — — — — — —
201725 AATulsa Drillers — 305268 649017 30784 10 239325463787 224267 2610 345 51 — — — — — —
201725 ROKAZL Dodgers — 2017 6301 241 00 3534507061.156 353417 2010 494 103 — — — — — —
201826 AAAOklahoma City Dodgers — 341324 8218217 141052 20 253288478767 225320 314 333 42 — — — — — —
201826 AATulsa Drillers — 8578 22405 6330 00 282333526859 244415 397 370 60 — — — — — —
201927 MLBLos Angeles Dodgers — 5348 12403 5190 00 250321521842 271346 369 366 127 +2 +0 -0 -4 +1 -0.1
201927 AAAOklahoma City Dodgers — 304271 8525223 25846 21 3143846751.059 362373 288 450 100 — — — — — —
202028 MLBPhiladelphia Phillies — 2322 3100 071 00 136174182356 45200 300 166 0 -3 +0 -1 -0 +0 -0.4
202129 MLBMinnesota Twins — 10799 23805 6321 10 232283465748 232286 306 324 105 +1 +0 -0 -1 +2 0.2
202230 MLBMinnesota Twins — 162150 35309 8483 00 233286433719 200277 305 316 100 -0 +0 -3 -2 +4 -0.2
202230 AAASt. Paul Saints — 4640 10113 6160 00 250348550898 300333 3513 388 76 — — — — — —
202331 MLBMinnesota Twins — 3028 5102 2110 00 179233429662 250200 377 288 81 -1 +0 -1 -4 +1 -0.5
202331 AAASt. Paul Saints — 355298 7218114 431108 21 242352450802 208322 3112 352 59 — — — — — —
202432 AAAReno Aces — 623540 12822328 711716 11 237332444777 207288 2711 342 44 — — — — — —
202634 INTLYaquis de Obregon — 3329 7101 380 00 241312379692 138286 249 303 91 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 375347 7817019 211175 10 225279438717 213277 316 314 99 -1 +0 -6 -12 +8 -1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201523 A+ MLERancho Cucamonga Quakes — 6155 16304 3281 00 291339564903 273429 465 385 147 — — — — — —
201523 A MLEGreat Lakes Loons — 162151 39923 7464 22 258309404713 146343 284 303 91 — — — — — —
201523 ROK MLEOgden Raptors — 3532 9410 160 00 281303469772 188305 173 339 116 — — — — — —
201624 AA MLETulsa Drillers — 319296 732526 141026 10 247294405700 159343 324 301 90 — — — — — —
201624 A+ MLERancho Cucamonga Quakes — 215202 471019 9784 00 233279426705 193325 364 298 88 — — — — — —
201725 AA MLETulsa Drillers — 305279 497010 191004 10 176238308547 133225 336 244 51 — — — — — —
201725 ROK MLEAZL Dodgers — 2018 4201 161 00 222300500800 278293 305 321 103 — — — — — —
201826 AAA MLEOklahoma City Dodgers — 341329 5812111 91402 20 176203319522 143264 413 230 42 — — — — — —
201826 AA MLETulsa Drillers — 8580 16303 4420 00 200238350588 150359 495 257 60 — — — — — —
201927 MLB MLELos Angeles Dodgers — 5349 12403 4190 00 245302510812 265346 368 357 127 +2 +0 -0 -4 +1 -0.1
201927 AAA MLEOklahoma City Dodgers — 304279 6218116 171076 21 222281466747 244285 356 316 100 — — — — — —
202028 MLB MLEPhiladelphia Phillies — 2322 3100 071 00 136174182356 45200 300 167 0 -3 +0 -1 -0 +0 -0.4
202129 MLB MLEMinnesota Twins — 10799 23805 6321 10 232283465748 232286 306 323 105 +1 +0 -0 -1 +2 0.2
202230 MLB MLEMinnesota Twins — 162150 35309 8483 00 233286433719 200277 305 315 100 -0 +0 -3 -2 +4 -0.2
202230 AAA MLESt. Paul Saints — 4642 8112 4200 00 190261405666 214281 439 280 76 — — — — — —
202331 MLB MLEMinnesota Twins — 3028 5102 2110 00 179233429662 250200 377 288 81 -1 +0 -1 -4 +1 -0.5
202331 AAA MLESt. Paul Saints — 355314 571119 271368 21 182264309573 127264 388 255 59 — — — — — —
202432 AAA MLEReno Aces — 623567 9416316 442136 11 166233289523 123222 347 233 44 — — — — — —
201523 A MLE3 teams — 258238 641538 11795 22 269315458773 189361 314 327 108 — — — — — —
201523 A RAW3 teams — 258232 812149 16595 22 349402591992 241429 236 425 108 — — — — — —
201624 AA MLE2 teams — 534498 11935315 2318010 10 239286412698 173340 344 300 89 — — — — — —
201624 AA RAW2 teams — 534488 14342319 3314010 10 293350508858 215373 266 375 89 — — — — — —
201725 AA MLE2 teams — 325297 549011 201055 10 182245323569 141234 326 249 54 — — — — — —
201725 AA RAW2 teams — 325285 7012018 32825 10 246332477809 232277 2510 354 54 — — — — — —
201826 AAA MLE2 teams — 426409 7515114 131822 20 183212328540 144284 433 235 45 — — — — — —
201826 AAA RAW2 teams — 426402 10422222 201382 20 259297488785 229336 325 341 45 — — — — — —
201927 AAA MLE2 teams — 357328 7322118 211266 21 223282460742 238296 356 322 104 — — — — — —
201927 AAA RAW2 teams — 357319 9729226 301036 21 3043756521.027 348370 298 437 104 — — — — — —
202028 MLB MLEPhiladelphia Phillies — 2322 3100 071 00 136174182356 45200 300 167 0 -3 +0 -1 -0 +0 -0.4
202028 MLB RAWPhiladelphia Phillies — 2322 3100 071 00 136174182356 45200 300 166 0 -3 +0 -1 -0 +0 -0.4
202129 MLB MLEMinnesota Twins — 10799 23805 6321 10 232283465748 232286 306 323 105 +1 +0 -0 -1 +2 0.2
202129 MLB RAWMinnesota Twins — 10799 23805 6321 10 232283465748 232286 306 324 105 +1 +0 -0 -1 +2 0.2
202230 MLB MLE2 teams — 208192 434111 12683 00 224280427707 203281 336 308 94 -1 +0 -3 -2 +5 -0.2
202230 MLB RAW2 teams — 208190 454112 14643 00 237300458757 221287 317 332 94 -1 +0 -3 -2 +5 -0.2
202331 AAA MLE2 teams — 385342 6212111 291478 21 181261319580 137268 388 258 60 — — — — — —
202331 AAA RAW2 teams — 385326 7719116 451218 21 236343448791 212313 3112 347 60 — — — — — —
202432 AAA MLEReno Aces — 623567 9416316 442136 11 166233289523 123227 347 233 44 — — — — — —
202432 AAA RAWReno Aces — 623540 12822328 711716 11 237332444777 207288 2711 342 44 — — — — — —
202634 INTL MLEYaquis de Obregon — 3329 7101 380 00 241312379692 138286 249 — — — — — — — —
202634 INTL RAWYaquis de Obregon — 3329 7101 380 00 241312379692 138286 249 303 91 — — — — — —
201523 A MLE3 teams — 258240 641538 11795 22 267315454769 188358 314 327 108 — — — — — —
201624 AA MLE2 teams — 534496 11935315 2318010 10 240286413700 173336 344 300 89 — — — — — —
201725 AA MLE2 teams — 325297 549011 201055 10 182245323569 141229 326 249 54 — — — — — —
201826 AAA MLE2 teams — 426408 7515114 131822 20 184212328541 145283 433 235 45 — — — — — —
201927 AAA MLE2 teams — 357327 7322118 211266 21 223282462743 239294 356 322 104 — — — — — —
202028 MLB MLEPhiladelphia Phillies — 2322 3100 071 00 136174182356 45200 300 167 0 — — — — — —
202129 MLB MLEMinnesota Twins — 10799 23805 6321 10 232283465748 232286 306 323 105 — — — — — —
202230 MLB MLE2 teams — 208191 434111 12683 00 225280429710 204278 336 308 94 — — — — — —
202331 AAA MLE2 teams — 385345 6212111 291478 21 180261316577 136259 388 258 60 — — — — — —
202432 AAA MLEReno Aces — 623568 9416316 442136 11 165233289522 123222 347 233 44 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202432 AAA MLEReno Aces — 623568 9416316 442136 11 165233289522 123222 347 233 44 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 375347 7817019 211175 10 225279438717 213277 316 314 69 -1 +0 -6 -12 +8 -1.0
/ 162G— A+C — 650601 13529033 362039 20 225278438716 213277 316 314 69 -1 +0 -10 -20 +14 -1.7
Career— MLE — 32793021 61713813110 182114747 125 204260368628 164283 356 271 69 -1 +0 -6 -12 +8 -1.0
/ 162G— MLE — 650599 12327322 362279 21 205261371631 165284 356 271 69 -1 +0 -10 -20 +14 -1.7

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 AAAReno Aces · 623 PAwOBA .335 → .233 (−102)K% 27.4% → 34.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.45%÷0.964×1.200——34.18%
BB% (unintentional) /PA10.91%÷1.012×0.690—×0.9527.08%
HBP% /PA0.96%—×0.940—×0.9520.86%
Singles /BIP20.33%÷1.076×0.930×0.976×0.95216.32%
Doubles /BIP5.96%÷1.025×0.830×0.976×0.9524.49%
Triples /BIP0.81%÷1.017×0.970×0.976×0.9520.72%
Home runs /BIP7.59%÷1.124×0.700—×0.9524.50%

Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 115, 2B 105, 3B 103, K 93, BB 102 — 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 ×0.976.

Result: wOBA .335 → .233; ISO .207 → .130; BABIP .288 → .222. 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 AAASt. Paul Saints · 355 PAwOBA .349 → .255 (−94)K% 31.0% → 38.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.99%÷0.973×1.200——38.20%
BB% (unintentional) /PA12.11%÷1.067×0.690—×0.9627.54%
HBP% /PA2.25%—×0.940—×0.9622.04%
Singles /BIP20.74%÷0.964×0.930×1.017×0.96219.58%
Doubles /BIP9.57%÷1.341×0.830×1.017×0.9625.80%
Triples /BIP0.53%÷0.977×0.970×1.017×0.9620.52%
Home runs /BIP7.45%÷1.009×0.700—×0.9624.97%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 93, 2B 168, 3B 95, K 95, BB 113 — 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 ×1.017.

Result: wOBA .349 → .255; ISO .208 → .135; BABIP .322 → .264. 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 AAASt. Paul Saints · 46 PAwOBA .378 → .280 (−97)K% 34.8% → 42.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.78%÷0.981×1.200——42.53%
BB% (unintentional) /PA13.04%÷1.012×0.690—×0.9728.65%
HBP% /PA0.00%—×0.940—×0.9720.00%
Singles /BIP20.83%÷1.000×0.930—×0.97218.83%
Doubles /BIP4.17%÷1.079×0.830—×0.9723.12%
Triples /BIP4.17%÷1.150×0.970—×0.9723.42%
Home runs /BIP12.50%÷0.881×0.700—×0.9729.65%

Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — 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).

Result: wOBA .378 → .280; ISO .300 → .218; BABIP .333 → .281. 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 AAAOklahoma City Dodgers · 304 PAwOBA .439 → .316 (−123)K% 27.6% → 35.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.63%÷1.014×1.290——35.15%
BB% (unintentional) /PA7.89%÷0.993×0.710—×1.0035.66%
HBP% /PA1.97%—×0.980—×1.0031.94%
Singles /BIP18.72%÷1.048×0.900×0.950×1.00315.32%
Doubles /BIP13.37%÷1.012×0.810×0.950×1.00310.20%
Triples /BIP1.07%÷1.045×0.810×0.950×1.0030.79%
Home runs /BIP12.30%÷1.073×0.780—×1.0038.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .439 → .316; ISO .362 → .248; BABIP .373 → .285. 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 AAAOklahoma City Dodgers · 341 PAwOBA .323 → .230 (−94)K% 30.8% → 41.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.79%÷0.970×1.290——40.97%
BB% (unintentional) /PA3.81%÷1.021×0.710—×1.0182.70%
HBP% /PA0.59%—×0.980—×1.0180.59%
Singles /BIP20.55%÷0.992×0.900×0.950×1.01818.02%
Doubles /BIP8.22%÷1.029×0.810×0.950×1.0186.26%
Triples /BIP0.91%÷1.020×0.810×0.950×1.0180.70%
Home runs /BIP7.76%÷1.020×0.780—×1.0186.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 ×0.950.

Result: wOBA .323 → .230; ISO .225 → .151; BABIP .320 → .264. 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 AATulsa Drillers · 85 PAwOBA .364 → .257 (−107)K% 38.8% → 49.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA38.82%÷0.964×1.220——49.15%
BB% (unintentional) /PA7.06%÷1.033×0.700—×0.9884.73%
HBP% /PA0.00%—×0.870—×0.9880.00%
Singles /BIP28.89%÷0.987×0.920—×0.98826.62%
Doubles /BIP8.89%÷0.991×0.840—×0.9887.44%
Triples /BIP0.00%÷0.907×0.940—×0.9880.00%
Home runs /BIP11.11%÷1.147×0.800—×0.9887.66%

Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — 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).

Result: wOBA .364 → .257; ISO .244 → .153; BABIP .415 → .359. 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 AATulsa Drillers · 305 PAwOBA .338 → .244 (−94)K% 25.6% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.57%÷0.955×1.220——32.66%
BB% (unintentional) /PA9.51%÷1.058×0.700—×0.9986.28%
HBP% /PA1.31%—×0.870—×0.9981.14%
Singles /BIP20.00%÷1.005×0.920×0.973×0.99817.78%
Doubles /BIP4.74%÷1.000×0.840×0.973×0.9983.86%
Triples /BIP0.00%÷1.150×0.940×0.973×0.9980.00%
Home runs /BIP8.95%÷1.295×0.800—×0.9985.52%

Factors used: league row TL. Park (home-season share, regressed): HR 159, 1B 101, 2B 100, 3B 130, K 91, BB 112 — 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 ×0.973.

Result: wOBA .338 → .244; ISO .224 → .139; BABIP .267 → .225. 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 ROKAZL Dodgers · 20 PAwOBA .480 → .321 (−159)K% 20.0% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.000×1.440——28.80%
BB% (unintentional) /PA10.00%÷1.000×0.620—×0.9455.86%
HBP% /PA5.00%—×0.720—×0.9453.40%
Singles /BIP15.38%÷1.000×0.820—×0.94511.92%
Doubles /BIP23.08%÷1.000×0.720—×0.94515.70%
Triples /BIP0.00%÷1.000×0.720—×0.9450.00%
Home runs /BIP7.69%÷1.000×0.780—×0.9455.67%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .480 → .321; ISO .353 → .238; BABIP .417 → .293. 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 — .