Nick Meyer

PosC
B/TR/R
Born1997-02-18
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202124AAA/AANYM257.251/.341/.3243665—.234/.305/.292
202225AAA/AANYM302.233/.357/.35361477—.228/.316/.331
202326AAANYM264.217/.310/.3096644—.189/.261/.252
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2023 AAA
Speed59
Z-Con%58
K%57
Chase%56
Whiff%55
BB%46

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)
201922 A+St. Lucie Mets — 229209 38411 16433 122 182250225475 43224 197 223 -1 — — — — — —
201922 ROKGCL Mets — 1512 0000 240 00 143143 2713 93 -76 — — — — — —
202124 AAASyracuse Mets — 4842 12300 570 12 286362357719 71343 1510 323 81 — — — — — —
202124 AABinghamton Rumble Ponies — 209177 43403 19396 52 243337316653 73290 199 295 61 — — — — — —
202225 AAASyracuse Mets — 189158 39903 25403 113 247360361721 114310 2113 327 82 — — — — — —
202225 AABinghamton Rumble Ponies — 11391 19113 20200 31 209351341692 132232 1818 316 68 — — — — — —
202326 AAASyracuse Mets — 264230 50306 28553 61 217310309619 91259 2111 285 44 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201922 A+ MLESt. Lucie Mets — 229213 29311 12673 122 136193174367 38191 295 167 -1 — — — — — —
201922 ROK MLEGCL Mets — 1513 0000 160 00 7171 407 56 -76 — — — — — —
202124 AAA MLESyracuse Mets — 4843 12300 490 12 279340349689 70326 198 288 81 — — — — — —
202124 AA MLEBinghamton Rumble Ponies — 209183 41402 13476 52 224297279576 55268 226 258 61 — — — — — —
202225 AAA MLESyracuse Mets — 189165 40902 18503 113 242328333661 91317 2610 289 82 — — — — — —
202225 AA MLEBinghamton Rumble Ponies — 11398 20113 13240 31 204297327624 122220 2112 268 68 — — — — — —
202326 AAA MLESyracuse Mets — 264238 45304 20693 61 189261252513 63241 268 233 44 — — — — — —
201922 A+ MLE2 teams — 244225 29311 14723 122 129190164355 36184 306 160 -5 — — — — — —
201922 A+ RAW2 teams — 244221 38411 18473 122 172244213456 41214 197 215 -5 — — — — — —
202124 AA MLE2 teams — 257226 53702 17566 64 235305292597 58298 227 264 65 — — — — — —
202124 AA RAW2 teams — 257219 55703 24466 64 251341324666 73301 189 300 65 — — — — — —
202225 AAA MLE2 teams — 302263 58915 31743 144 221310319629 99285 2510 281 76 — — — — — —
202225 AAA RAW2 teams — 302249 581016 45603 144 233357353710 120281 2015 323 76 — — — — — —
202326 AAA MLESyracuse Mets — 264238 45304 20693 61 189261252513 63247 268 233 44 — — — — — —
202326 AAA RAWSyracuse Mets — 264230 50306 28553 61 217310309619 91259 2111 285 44 — — — — — —
201922 A+ MLE2 teams — 244225 29311 14723 122 129190164355 36179 306 160 -5 — — — — — —
202124 AA MLE2 teams — 257232 53702 17566 64 228305284590 56279 227 264 65 — — — — — —
202225 AAA MLE2 teams — 302265 58915 31743 144 219310317627 98281 2510 281 76 — — — — — —
202326 AAA MLESyracuse Mets — 264239 45304 20693 61 188261251512 63241 268 233 44 — — — — — —
▸ Career Totals
Career— MLE — 1067952 18522212 8227115 3811 194269259528 65256 258 237 47 -68 +3 +0 +19 +23 -2.3
/ 162G— MLE — 650580 1121317 501659 237 193268255523 62255 258 237 47 -41 +2 +0 +12 +14 -1.4

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.

2023 AAASyracuse Mets · 264 PAwOBA .279 → .233 (−46)K% 20.8% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.83%÷0.961×1.200——26.03%
BB% (unintentional) /PA10.61%÷0.967×0.690—×1.0187.70%
HBP% /PA1.14%—×0.940—×1.0181.09%
Singles /BIP23.43%÷0.997×0.930×0.992×1.01822.07%
Doubles /BIP1.71%÷0.933×0.830×0.992×1.0181.54%
Triples /BIP0.00%÷1.150×0.970×0.992×1.0180.00%
Home runs /BIP3.43%÷1.003×0.700—×1.0182.44%

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 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 ×0.992.

Result: wOBA .279 → .233; ISO .091 → .066; BABIP .259 → .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).

2022 AAASyracuse Mets · 189 PAwOBA .321 → .289 (−32)K% 21.2% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.16%÷0.961×1.200——26.43%
BB% (unintentional) /PA13.23%÷1.019×0.690—×1.0339.25%
HBP% /PA1.59%—×0.940—×1.0331.54%
Singles /BIP22.88%÷0.953×0.930×1.050×1.03324.21%
Doubles /BIP7.63%÷0.951×0.830×1.050×1.0337.22%
Triples /BIP0.00%÷1.000×0.970×1.050×1.0330.00%
Home runs /BIP2.54%÷1.033×0.700—×1.0331.78%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — 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 ×1.050.

Result: wOBA .321 → .289; ISO .114 → .094; BABIP .310 → .317. 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 AABinghamton Rumble Ponies · 113 PAwOBA .312 → .268 (−44)K% 17.7% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.70%÷1.017×1.220——21.22%
BB% (unintentional) /PA17.70%÷1.057×0.700—×0.99811.70%
HBP% /PA0.00%—×0.850—×0.9980.00%
Singles /BIP19.72%÷0.983×0.970×0.985×0.99819.14%
Doubles /BIP1.41%÷0.988×0.860×0.985×0.9981.21%
Triples /BIP1.41%÷1.150×0.950×0.985×0.9981.14%
Home runs /BIP4.23%÷0.895×0.780—×0.9983.68%

Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 97, 2B 98, 3B 130, K 103, BB 111 — 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 ×0.985.

Result: wOBA .312 → .268; ISO .132 → .121; BABIP .232 → .220. 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 AABinghamton Rumble Ponies · 209 PAwOBA .292 → .258 (−34)K% 18.7% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.66%÷1.017×1.220——22.38%
BB% (unintentional) /PA9.09%÷1.018×0.690—×1.0126.23%
HBP% /PA2.87%—×0.850—×1.0122.47%
Singles /BIP26.09%÷1.045×0.940×1.028×1.01224.40%
Doubles /BIP2.90%÷1.053×0.870×1.028×1.0122.49%
Triples /BIP0.00%÷1.060×0.920×1.028×1.0120.00%
Home runs /BIP2.17%÷0.995×0.780—×1.0121.73%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — 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 ×1.028.

Result: wOBA .292 → .258; ISO .073 → .062; BABIP .290 → .268. 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 AAASyracuse Mets · 48 PAwOBA .315 → .288 (−27)K% 14.6% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.58%÷0.966×1.200——18.12%
BB% (unintentional) /PA10.42%÷1.006×0.690—×1.0487.48%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP25.71%÷1.032×0.930—×1.04824.28%
Doubles /BIP8.57%÷0.897×0.830—×1.0488.31%
Triples /BIP0.00%÷0.986×0.920—×1.0480.00%
Home runs /BIP0.00%÷1.039×0.700—×1.0480.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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 .315 → .288; ISO .071 → .071; BABIP .343 → .326. 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 A+St. Lucie Mets · 229 PAwOBA .218 → .167 (−51)K% 18.8% → 29.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.78%÷0.917×1.420——29.07%
BB% (unintentional) /PA6.99%÷0.975×0.750—×1.0125.44%
HBP% /PA1.31%—×0.930—×1.0121.23%
Singles /BIP19.28%÷1.048×0.920×0.950×1.01216.28%
Doubles /BIP2.41%÷0.978×0.960×0.950×1.0122.27%
Triples /BIP0.60%÷1.062×0.810×0.950×1.0120.44%
Home runs /BIP0.60%÷1.122×0.880—×1.0120.48%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 110, 2B 96, 3B 112, K 83, BB 95 — 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 ×0.950.

Result: wOBA .218 → .167; ISO .043 → .032; BABIP .224 → .191. 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 ROKGCL Mets · 15 PAwOBA .092 → .056 (−36)K% 26.7% → 38.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.67%÷1.000×1.440——38.40%
BB% (unintentional) /PA13.33%÷1.000×0.620—×0.9758.06%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP0.00%÷1.000×0.820—×0.9750.00%
Doubles /BIP0.00%÷1.000×0.720—×0.9750.00%
Triples /BIP0.00%÷1.000×0.720—×0.9750.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9750.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .092 → .056; ISO .000 → .000; BABIP .000 → .000. 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).