Danny Mendick

PosSS
B/TR/R
Born1993-09-28
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202228AAACWS39.303/.359/.5151278—.222/.282/.306
202228MLBCWS106.289/.343/.443311190.7
202329AAANYM425.282/.369/.424111478—.233/.301/.331
202329MLBNYM69.185/.232/.2771147-0.5
202430AAACWS197.263/.330/.51411365—.195/.244/.357
202430MLBCWS141.197/.243/.3183655-0.2
202531No MLB games played
202632No MLB games played
Last 3 seasons WAR -0.1
Contract
No contract data on file.
Skills · percentileStatcast 2022-2024
Speed30
Barrel%25
xwOBA11
Avg EV10
Bat Spd10

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)
201521 ROKACL White Sox — 208180 46815 20284 82 256343394738 139275 1310 328 47 — — — — — —
201622 A+Winston-Salem Dash — 5348 6200 5100 00 125208167374 42158 199 183 -25 — — — — — —
201622 AKannapolis Intimidators — 412369 1012022 31759 85 274345355700 81337 188 318 51 — — — — — —
201723 AABirmingham Barons — 165147 29503 17270 12 197280293573 95222 1610 264 34 — — — — — —
201723 A+Winston-Salem Dash — 305263 761847 31406 114 289377468844 179315 1310 370 77 — — — — — —
201723 INTLGlendale Desert Dogs — 7469 20401 2132 40 290329391720 101339 183 320 102 — — — — — —
201824 AABirmingham Barons — 529453 11225014 579010 2010 247344395739 148275 1711 330 69 — — — — — —
201925 MLBChicago White Sox — 4039 12002 1110 00 308325462787 154385 282 348 120 +1 +0 +1 +6 +1 0.9
201925 AAACharlotte Knights — 558477 13326117 66965 198 279372444817 166313 1712 360 78 — — — — — —
202026 MLBChicago White Sox — 114107 26413 6250 01 243283383666 140287 225 294 84 -2 -0 +1 +0 +2 0.1
202127 MLBChicago White Sox — 186164 36502 18422 01 220304287591 67281 2310 273 71 -6 -0 -1 +1 +4 -0.3
202127 AAACharlotte Knights — 10596 26403 7201 11 271324406730 135315 197 326 56 — — — — — —
202228 MLBChicago White Sox — 10697 28413 7231 10 289343443786 155352 227 346 119 +2 +0 +0 +2 +2 0.7
202228 AAACharlotte Knights — 3933 10401 3121 22 303359515874 212450 318 374 78 — — — — — —
202329 MLBNew York Mets — 6965 12301 4150 10 185232277509 92224 226 231 47 -4 +0 -4 +2 +1 -0.5
202329 AAASyracuse Mets — 425373 10518111 46606 142 282369424793 142311 1411 358 78 — — — — — —
202430 MLBChicago White Sox — 141132 26703 6352 60 197243318561 121245 254 251 55 -8 +1 -0 +1 +3 -0.2
202430 AAACharlotte Knights — 197179 4712011 17431 35 263330514844 251288 229 369 65 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 656604 14023214 421515 82 232287346633 114286 236 284 78 -17 +1 -5 +12 +14 0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201521 ROK MLEACL White Sox — 208188 37614 12404 82 197260303563 106212 196 237 47 — — — — — —
201622 A+ MLEWinston-Salem Dash — 5350 4100 3150 00 80132100232 20138 286 131 -25 — — — — — —
201622 A MLEKannapolis Intimidators — 412382 841622 18989 85 220271288559 68283 244 243 51 — — — — — —
201723 AA MLEBirmingham Barons — 165152 27503 12340 12 178238270508 92204 217 219 34 — — — — — —
201723 A+ MLEWinston-Salem Dash — 305276 631335 18596 114 228290351641 123267 196 282 77 — — — — — —
201824 AA MLEBirmingham Barons — 529469 9723012 4110910 2010 207285333617 126232 218 270 69 — — — — — —
201925 MLB MLEChicago White Sox — 4039 12002 1110 00 308325462787 154385 282 346 120 +1 +0 +1 +6 +1 0.9
201925 AAA MLECharlotte Knights — 558500 11323112 431205 198 226294348642 122264 228 284 78 — — — — — —
202026 MLB MLEChicago White Sox — 114107 26413 6250 01 243283383666 140287 225 292 84 -2 -0 +1 +0 +2 0.1
202127 MLB MLEChicago White Sox — 186164 36502 18422 01 220304287591 67281 2310 273 71 -6 -0 -1 +1 +4 -0.3
202127 AAA MLECharlotte Knights — 10599 23302 5241 11 232276323599 91276 235 251 56 — — — — — —
202228 MLB MLEChicago White Sox — 10697 28413 7231 10 289343443786 155352 227 345 119 +2 +0 +0 +2 +2 0.7
202228 AAA MLECharlotte Knights — 3936 8300 2151 22 222282306588 83377 385 284 78 — — — — — —
202329 MLB MLENew York Mets — 6965 12301 4150 10 185232277509 92224 226 238 47 -4 +0 -4 +2 +1 -0.5
202329 AAA MLESyracuse Mets — 425387 901517 32756 142 233301331632 98274 188 284 78 — — — — — —
202430 MLB MLEChicago White Sox — 141132 26703 6352 60 197243318561 121245 254 249 55 -8 +1 -0 +1 +3 -0.2
202430 AAA MLECharlotte Knights — 197185 36907 11521 35 195244357600 162236 266 264 65 — — — — — —
201521 ROK MLEACL White Sox — 208188 37614 12404 82 197260303563 106226 196 237 47 — — — — — —
201521 ROK RAWACL White Sox — 208180 46815 20284 82 256343394738 139275 1310 328 47 — — — — — —
201622 A MLE2 teams — 465432 891722 211149 85 206258269526 63274 255 230 42 — — — — — —
201622 A RAW2 teams — 465417 1072222 36859 85 257329333662 77316 188 303 42 — — — — — —
201723 A+ MLE3 teams — 544495 1062149 341078 166 214276327603 113253 206 260 62 — — — — — —
201723 A+ RAW3 teams — 544479 12527411 50808 166 261341403744 142291 159 331 62 — — — — — —
201824 AA MLEBirmingham Barons — 529469 9723012 4110910 2010 207285333617 126239 218 270 69 — — — — — —
201824 AA RAWBirmingham Barons — 529453 11225014 579010 2010 247344395739 148275 1711 330 69 — — — — — —
201925 AAA MLE2 teams — 598539 12523114 441315 198 232296356652 124277 227 288 81 — — — — — —
201925 AAA RAW2 teams — 598516 14526119 671075 198 281369446815 165317 1811 359 81 — — — — — —
202026 MLB MLEChicago White Sox — 114107 26413 6250 01 243283383666 140287 225 292 84 -2 -0 +1 +0 +2 0.1
202026 MLB RAWChicago White Sox — 114107 26413 6250 01 243283383666 140287 225 294 84 -2 -0 +1 +0 +2 0.1
202127 MLB MLE2 teams — 291263 59804 23663 12 224294300594 76284 238 265 65 -12 -1 -1 +1 +6 -0.7
202127 MLB RAW2 teams — 291260 62905 25623 12 238311331642 92294 219 292 65 -12 -1 -1 +1 +6 -0.7
202228 MLB MLE2 teams — 145133 36713 9382 32 271326406732 135359 266 328 108 +1 -0 +0 +2 +3 0.6
202228 MLB RAW2 teams — 145130 38814 10352 32 292347462809 169374 247 354 108 +1 -0 +0 +2 +3 0.6
202329 AAA MLE2 teams — 494452 1031918 36906 152 228294327621 100268 187 278 74 — — — — — —
202329 AAA RAW2 teams — 494438 11721112 50756 152 267350402752 135299 1510 340 74 — — — — — —
202430 AAA MLE2 teams — 338317 6216010 17873 95 196243341584 145236 265 258 61 — — — — — —
202430 AAA RAW2 teams — 338311 7319014 23783 95 235294431725 196269 237 319 61 — — — — — —
201521 ROK MLEACL White Sox — 208190 37614 12404 82 195260300560 105212 196 237 47 — — — — — —
201622 A MLE2 teams — 465432 891722 211149 85 206258269526 63266 255 230 42 — — — — — —
201723 A+ MLE3 teams — 544497 1062149 341078 166 213276326602 113245 206 260 62 — — — — — —
201824 AA MLEBirmingham Barons — 529473 9723012 4110910 2010 205285330614 125232 218 270 69 — — — — — —
201925 AAA MLE2 teams — 598544 12523114 441315 198 230296353649 123272 227 288 81 — — — — — —
202026 MLB MLEChicago White Sox — 114107 26413 6250 01 243283383666 140287 225 292 84 — — — — — —
202127 MLB MLE2 teams — 291263 59804 23663 12 224294300594 76279 238 265 65 — — — — — —
202228 MLB MLE2 teams — 145133 36713 9382 32 271326406732 135359 266 328 108 — — — — — —
202329 AAA MLE2 teams — 494449 1031918 36906 152 229294330623 100267 187 278 74 — — — — — —
202430 AAA MLE2 teams — 338315 6216010 17873 95 197243343586 146240 265 258 61 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202430 AAA MLE2 teams — 338315 6216010 17873 95 197243343586 146240 265 258 61 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 656604 14023214 421515 82 232287346633 114286 236 284 67 -17 +1 -5 +12 +14 0.6
/ 162G— A+C — 650598 13923214 421505 82 232288348636 115287 236 284 67 -17 +1 -5 +12 +14 0.6
Career— MLE — 37263395 7401441169 24380750 9943 218280328608 110264 227 267 67 -17 +1 -5 +12 +14 0.6
/ 162G— MLE — 650592 12925212 421419 178 218280328607 110264 226 267 67 -17 +1 -5 +12 +14 0.6

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 AAACharlotte Knights · 197 PAwOBA .358 → .264 (−94)K% 21.8% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.83%÷0.991×1.200——26.43%
BB% (unintentional) /PA8.63%÷1.025×0.690—×0.9625.59%
HBP% /PA0.51%—×0.940—×0.9620.46%
Singles /BIP17.65%÷1.033×0.930×0.997×0.96215.23%
Doubles /BIP8.82%÷0.994×0.830×0.997×0.9627.06%
Triples /BIP0.00%÷1.049×0.970×0.997×0.9620.00%
Home runs /BIP8.09%÷1.016×0.700—×0.9625.36%

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 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 ×0.997.

Result: wOBA .358 → .264; ISO .251 → .172; BABIP .288 → .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).

2023 AAASyracuse Mets · 425 PAwOBA .348 → .284 (−65)K% 14.1% → 17.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.12%÷0.961×1.200——17.64%
BB% (unintentional) /PA10.82%÷0.967×0.690—×0.9727.51%
HBP% /PA1.41%—×0.940—×0.9721.29%
Singles /BIP23.96%÷0.997×0.930×0.991×0.97221.52%
Doubles /BIP5.75%÷0.933×0.830×0.991×0.9724.93%
Triples /BIP0.32%÷1.150×0.970×0.991×0.9720.26%
Home runs /BIP3.51%÷1.003×0.700—×0.9722.38%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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 ×0.991.

Result: wOBA .348 → .284; ISO .142 → .106; BABIP .311 → .274. 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 AAACharlotte Knights · 39 PAwOBA .363 → .284 (−79)K% 30.8% → 37.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.77%÷0.975×1.200——37.89%
BB% (unintentional) /PA7.69%÷1.028×0.690—×0.9825.07%
HBP% /PA2.56%—×0.940—×0.9822.37%
Singles /BIP23.81%÷1.003×0.930—×0.98221.69%
Doubles /BIP19.05%÷1.028×0.830—×0.98215.11%
Triples /BIP0.00%÷0.900×0.970—×0.9820.00%
Home runs /BIP4.76%÷1.421×0.700—×0.9822.30%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .363 → .284; ISO .212 → .142; BABIP .450 → .377. 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 · 105 PAwOBA .317 → .251 (−66)K% 19.0% → 22.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.05%÷1.011×1.200——22.61%
BB% (unintentional) /PA6.67%÷1.053×0.690—×0.9924.33%
HBP% /PA0.95%—×0.940—×0.9920.89%
Singles /BIP25.00%÷0.986×0.930×0.990×0.99223.16%
Doubles /BIP5.26%÷1.128×0.830×0.990×0.9923.80%
Triples /BIP0.00%÷1.020×0.920×0.990×0.9920.00%
Home runs /BIP3.95%÷1.190×0.700—×0.9922.30%

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 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 ×0.990.

Result: wOBA .317 → .251; ISO .135 → .085; BABIP .315 → .276. 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 AAACharlotte Knights · 558 PAwOBA .355 → .284 (−71)K% 17.2% → 21.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.20%÷0.962×1.200——21.47%
BB% (unintentional) /PA11.83%÷1.077×0.690—×1.0187.71%
HBP% /PA0.90%—×0.940—×1.0180.86%
Singles /BIP23.36%÷1.061×0.930×0.950×1.01819.80%
Doubles /BIP6.82%÷0.921×0.830×0.950×1.0185.95%
Triples /BIP0.26%÷0.900×0.970×0.950×1.0180.27%
Home runs /BIP4.46%÷1.212×0.840—×1.0183.15%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — 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 .355 → .284; ISO .166 → .130; BABIP .313 → .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 AABirmingham Barons · 529 PAwOBA .326 → .270 (−55)K% 17.0% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.01%÷1.006×1.220——20.62%
BB% (unintentional) /PA10.78%÷0.954×0.680—×0.9987.66%
HBP% /PA1.89%—×0.840—×0.9981.58%
Singles /BIP20.11%÷1.069×0.920×0.963×0.99816.63%
Doubles /BIP6.89%÷0.969×0.910×0.963×0.9986.21%
Triples /BIP0.00%÷1.150×0.880×0.963×0.9980.00%
Home runs /BIP3.86%÷0.949×0.800—×0.9983.25%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — 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 ×0.963.

Result: wOBA .326 → .270; ISO .148 → .131; BABIP .275 → .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).

2017 A+Winston-Salem Dash · 305 PAwOBA .362 → .282 (−80)K% 13.1% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.11%÷0.966×1.420——19.27%
BB% (unintentional) /PA9.84%÷1.046×0.630—×0.9885.85%
HBP% /PA1.97%—×0.860—×0.9881.67%
Singles /BIP21.08%÷0.999×0.940×0.970×0.98819.00%
Doubles /BIP8.07%÷1.080×0.830×0.970×0.9885.94%
Triples /BIP1.79%÷0.902×0.800×0.970×0.9881.52%
Home runs /BIP3.14%÷1.275×0.900—×0.9882.19%

Factors used: league row CAR. Park (home-season share, regressed): HR 155, 1B 100, 2B 116, 3B 80, K 93, BB 109 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .362 → .282; ISO .179 → .132; BABIP .315 → .267. 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 AABirmingham Barons · 165 PAwOBA .257 → .219 (−38)K% 16.4% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.36%÷0.980×1.220——20.38%
BB% (unintentional) /PA10.30%÷1.001×0.680—×1.0127.09%
HBP% /PA0.00%—×0.840—×1.0120.00%
Singles /BIP17.50%÷1.009×0.920×1.002×1.01216.18%
Doubles /BIP4.17%÷1.021×0.910×1.002×1.0123.76%
Triples /BIP0.00%÷1.086×0.880×1.002×1.0120.00%
Home runs /BIP2.50%÷0.894×0.800—×1.0122.26%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 102, 2B 104, 3B 117, K 96, BB 100 — 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 ×1.002.

Result: wOBA .257 → .219; ISO .095 → .086; BABIP .222 → .204. 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).