Walter Rasquin

Pos2B
B/TR/R
Born1996-03-21
Age (2027)31
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201620ROKKingsport Mets204.294/.353/.3742857—.233/.275/.295
201822A/ROK2 orgs78.368/.442/.57428109—.283/.337/.467
201923AKC263.165/.233/.24538-5—.128/.178/.189
Contract
No contract data on file.

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)
201317 ROKDSL Mets 1 — 1512 2000 340 10 167333167500 250 2720 260 8 — — — — — —
201418 ROKDSL Mets 2 — 199165 531121 25227 124 321431430862 109364 1113 389 61 — — — — — —
201519 ROKGCL Mets — 126103 31501 11213 53 301385379763 78357 179 325 62 — — — — — —
201620 ROKKingsport Mets — 204187 55332 16311 83 294353374727 80344 158 330 57 — — — — — —
201822 AColumbia Fireflies — 5247 14311 3111 30 298353468821 170371 216 356 73 — — — — — —
201822 ROKGCL Mets — 2621 11111 441 51 5246158101.425 286625 1515 606 182 — — — — — —
201923 AColumbia Fireflies — 263237 39433 15566 82 165233245477 80202 216 218 -5 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201317 ROK MLEDSL Mets 1 — 1513 1000 250 10 7720077277 174 3313 180 8 — — — — — —
201418 ROK MLEDSL Mets 2 — 199172 35710 18277 124 203305256560 52235 149 258 61 — — — — — —
201519 ROK MLEGCL Mets — 126108 27401 6303 53 250308315623 65288 245 260 62 — — — — — —
201620 ROK MLEKingsport Mets — 204193 45222 10441 83 233275295570 62297 225 253 57 — — — — — —
201822 A MLEColumbia Fireflies — 5248 11211 2151 30 229275375650 146324 294 276 73 — — — — — —
201822 ROK MLEGCL Mets — 2623 9111 261 51 3914626521.114 261480 238 437 182 — — — — — —
201923 A MLEColumbia Fireflies — 263243 31332 9786 82 128178189368 62169 303 161 -5 — — — — — —
201317 ROK MLEDSL Mets 1 — 1513 1000 250 10 7720077277 125 3313 180 8 — — — — — —
201317 ROK RAWDSL Mets 1 — 1512 2000 340 10 167333167500 250 2720 260 8 — — — — — —
201418 ROK MLEDSL Mets 2 — 199172 35710 18277 124 203305256560 52240 149 258 61 — — — — — —
201418 ROK RAWDSL Mets 2 — 199165 531121 25227 124 321431430862 109364 1113 389 61 — — — — — —
201519 ROK MLEGCL Mets — 126108 27401 6303 53 250308315623 65325 245 260 62 — — — — — —
201519 ROK RAWGCL Mets — 126103 31501 11213 53 301385379763 78357 179 325 62 — — — — — —
201620 ROK MLEKingsport Mets — 204193 45222 10441 83 233275295570 62293 225 253 57 — — — — — —
201620 ROK RAWKingsport Mets — 204187 55332 16311 83 294353374727 80344 158 330 57 — — — — — —
201822 A MLE2 teams — 7871 21322 4212 81 296351479830 183396 275 330 109 — — — — — —
201822 A RAW2 teams — 7868 25422 7152 81 3684425741.015 206451 199 439 109 — — — — — —
201923 A MLEColumbia Fireflies — 263243 31332 9786 82 128178189368 62178 303 161 -5 — — — — — —
201923 A RAWColumbia Fireflies — 263237 39433 15566 82 165233245477 80202 216 218 -5 — — — — — —
201317 ROK MLEDSL Mets 1 — 1513 1000 250 10 7720077277 174 3313 180 8 — — — — — —
201418 ROK MLEDSL Mets 2 — 199172 35710 18277 124 203305256560 52235 149 258 61 — — — — — —
201519 ROK MLEGCL Mets — 126116 27401 6303 53 233308293601 60288 245 260 62 — — — — — —
201620 ROK MLEKingsport Mets — 204191 45222 10441 83 236275298573 63297 225 253 57 — — — — — —
201822 A MLE2 teams — 7872 21322 4212 81 292351472823 181376 275 330 109 — — — — — —
201923 A MLEColumbia Fireflies — 263246 31332 9786 82 126178187365 61169 303 161 -5 — — — — — —
▸ Career Totals
Career— MLE — 885800 1601987 4920519 4213 200263270533 70258 236 233 44 -59 +3 +0 +3 +19 -3.4
/ 162G— MLE — 650588 1181465 3615114 3110 201264270534 70260 236 233 44 -43 +2 +0 +2 +14 -2.5

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.

2019 AColumbia Fireflies · 263 PAwOBA .213 → .161 (−52)K% 21.3% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.29%÷0.963×1.340——29.64%
BB% (unintentional) /PA5.70%÷1.134×0.660—×0.9903.29%
HBP% /PA2.28%—×0.770—×0.9901.74%
Singles /BIP16.02%÷1.026×0.920×0.950×0.99013.51%
Doubles /BIP2.21%÷1.038×0.820×0.950×0.9901.64%
Triples /BIP1.66%÷0.952×0.940×0.950×0.9901.54%
Home runs /BIP1.66%÷0.949×0.820—×0.9901.42%

Factors used: league row SAL. Park (home-season share, regressed): HR 90, 1B 105, 2B 108, 3B 90, K 93, BB 127 — 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 ×0.950.

Result: wOBA .213 → .161; ISO .080 → .065; BABIP .202 → .169. 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 AColumbia Fireflies · 52 PAwOBA .347 → .276 (−70)K% 21.2% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.15%÷0.956×1.340——29.64%
BB% (unintentional) /PA5.77%÷1.054×0.660——3.61%
HBP% /PA1.92%—×0.770——1.48%
Singles /BIP25.00%÷1.042×0.920——22.08%
Doubles /BIP8.33%÷0.957×0.820——7.14%
Triples /BIP2.78%÷1.066×0.940——2.45%
Home runs /BIP2.78%÷0.976×0.820——2.33%

Factors used: league row SAL. Park (home-season share, regressed): HR 95, 1B 108, 2B 91, 3B 113, K 91, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .347 → .276; ISO .170 → .138; BABIP .371 → .324. 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 ROKGCL Mets · 26 PAwOBA .590 → .437 (−153)K% 15.4% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.38%÷1.000×1.440——22.15%
BB% (unintentional) /PA15.38%÷1.000×0.620—×0.9759.30%
HBP% /PA3.85%—×0.720—×0.9752.70%
Singles /BIP47.06%÷1.000×0.820—×0.97537.62%
Doubles /BIP5.88%÷1.000×0.720—×0.9754.13%
Triples /BIP5.88%÷1.000×0.720—×0.9754.13%
Home runs /BIP5.88%÷1.000×0.780—×0.9754.47%

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 .590 → .437; ISO .286 → .210; BABIP .625 → .480. 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).

2016 ROKKingsport Mets · 204 PAwOBA .321 → .253 (−69)K% 15.2% → 21.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.20%÷1.000×1.420——21.58%
BB% (unintentional) /PA7.84%÷1.000×0.640—×0.9954.99%
HBP% /PA0.49%—×0.740—×0.9950.36%
Singles /BIP30.13%÷1.000×0.840×1.050×0.99526.44%
Doubles /BIP1.92%÷1.000×0.740×1.050×0.9951.49%
Triples /BIP1.92%÷1.000×0.740×1.050×0.9951.49%
Home runs /BIP1.28%÷1.000×0.800—×0.9951.02%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .321 → .253; ISO .080 → .060; BABIP .344 → .297. 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).

2015 ROKGCL Mets · 126 PAwOBA .322 → .260 (−63)K% 16.7% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷1.000×1.440——24.00%
BB% (unintentional) /PA7.94%÷1.000×0.620—×1.0084.96%
HBP% /PA2.38%—×0.720—×1.0081.73%
Singles /BIP30.49%÷1.000×0.820×0.998×1.00825.13%
Doubles /BIP6.10%÷1.000×0.720×0.998×1.0084.41%
Triples /BIP0.00%÷1.000×0.720×0.998×1.0080.00%
Home runs /BIP1.22%÷1.000×0.780—×1.0080.96%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .322 → .260; ISO .078 → .062; BABIP .357 → .288. 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).

2014 DSLDSL Mets 2 · 199 PAwOBA .381 → .258 (−123)K% 11.1% → 13.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.06%÷1.000×1.220——13.49%
BB% (unintentional) /PA12.56%÷1.000×0.700—×1.0088.86%
HBP% /PA3.52%—×0.700—×1.0082.48%
Singles /BIP27.27%÷1.000×0.680×0.976×1.00818.24%
Doubles /BIP7.69%÷1.000×0.600×0.976×1.0084.54%
Triples /BIP1.40%÷1.000×0.600×0.976×1.0080.83%
Home runs /BIP0.70%÷1.000×0.470—×1.0080.33%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .381 → .258; ISO .109 → .065; BABIP .364 → .235. 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).

2013 DSLDSL Mets 1 · 15 PAwOBA .255 → .180 (−75)K% 26.7% → 32.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.67%÷1.000×1.220——32.53%
BB% (unintentional) /PA20.00%÷1.000×0.700—×1.02214.31%
HBP% /PA0.00%—×0.700—×1.0220.00%
Singles /BIP25.00%÷1.000×0.680—×1.02217.38%
Doubles /BIP0.00%÷1.000×0.600—×1.0220.00%
Triples /BIP0.00%÷1.000×0.600—×1.0220.00%
Home runs /BIP0.00%÷1.000×0.470—×1.0220.00%

Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .255 → .180; ISO .000 → .000; BABIP .250 → .174. 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).