Nick Sinay

PosRF
B/TR/R
Born1993-11-04
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201521ROKBluefield Blu…112.227/.382/.3071648—.181/.300/.245
201622ROKBluefield Blu…265.246/.435/.30413464—.204/.357/.252
201723AOAK293.215/.405/.25612362—.191/.356/.226
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)
201521 ROKBluefield Blue Jays — 11288 20401 15237 63 227382307689 80297 2113 325 48 — — — — — —
201622 ROKBluefield Blue Jays — 265191 47421 404524 345 246435304739 58317 1715 348 64 — — — — — —
201723 ALansing Lugnuts — 293219 47411 325838 2310 215405256661 41287 2011 328 62 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201521 ROK MLEBluefield Blue Jays — 11294 17301 9337 63 181300245545 64248 298 239 48 — — — — — —
201622 ROK MLEBluefield Blue Jays — 265206 42321 256424 345 204357252609 49260 249 263 64 — — — — — —
201723 A MLELansing Lugnuts — 293230 44311 218238 2310 191356226582 35267 287 260 62 — — — — — —
201521 ROK MLEBluefield Blue Jays — 11294 17301 9337 63 181300245545 64267 298 239 48 — — — — — —
201521 ROK RAWBluefield Blue Jays — 11288 20401 15237 63 227382307689 80297 2113 325 48 — — — — — —
201622 ROK MLEBluefield Blue Jays — 265206 42321 256424 345 204357252609 49291 249 263 64 — — — — — —
201622 ROK RAWBluefield Blue Jays — 265191 47421 404524 345 246435304739 58317 1715 348 64 — — — — — —
201723 A MLELansing Lugnuts — 293230 44311 218238 2310 191356226582 35293 287 260 62 — — — — — —
201723 A RAWLansing Lugnuts — 293219 47411 325838 2310 215405256661 41287 2011 328 62 — — — — — —
201521 ROK MLEBluefield Blue Jays — 11295 17301 9337 63 179300242542 63248 298 239 48 — — — — — —
201622 ROK MLEBluefield Blue Jays — 265214 42321 256424 345 196357243600 47260 249 263 64 — — — — — —
201723 A MLELansing Lugnuts — 293232 44311 218238 2310 190356224581 34267 287 260 62 — — — — — —
▸ Career Totals
Career— MLE — 670530 103933 5517969 6318 194347240587 45287 278 258 61 -31 +5 +0 -7 +15 -1.9
/ 162G— MLE — 650514 100933 5317467 6117 195347241588 47288 278 258 61 -31 +5 +0 -7 +14 -1.8

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.

2017 ALansing Lugnuts · 293 PAwOBA .321 → .260 (−61)K% 19.8% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.80%÷0.960×1.360——28.04%
BB% (unintentional) /PA10.92%÷1.055×0.690—×0.9807.00%
HBP% /PA12.97%—×0.780—×0.9809.91%
Singles /BIP25.47%÷0.988×0.920×1.034×0.98024.02%
Doubles /BIP2.48%÷1.033×0.830×1.034×0.9802.02%
Triples /BIP0.62%÷1.150×0.910×1.034×0.9800.50%
Home runs /BIP0.62%÷0.894×0.800—×0.9800.54%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 98, 2B 107, 3B 130, K 92, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .321 → .260; ISO .041 → .034; BABIP .287 → .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).

2016 ROKBluefield Blue Jays · 265 PAwOBA .341 → .263 (−78)K% 17.0% → 24.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.98%÷1.000×1.420——24.11%
BB% (unintentional) /PA15.09%÷1.000×0.640—×0.9659.32%
HBP% /PA9.06%—×0.740—×0.9656.47%
Singles /BIP27.40%÷1.000×0.840×1.029×0.96522.84%
Doubles /BIP2.74%÷1.000×0.740×1.029×0.9652.01%
Triples /BIP1.37%÷1.000×0.740×1.029×0.9651.01%
Home runs /BIP0.68%÷1.000×0.800—×0.9650.53%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .341 → .263; ISO .058 → .047; BABIP .317 → .260. 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 ROKBluefield Blue Jays · 112 PAwOBA .318 → .239 (−79)K% 20.5% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.54%÷1.000×1.420——29.16%
BB% (unintentional) /PA13.39%÷1.000×0.640—×0.9758.36%
HBP% /PA6.25%—×0.740—×0.9754.51%
Singles /BIP23.08%÷1.000×0.840×1.050×0.97519.85%
Doubles /BIP6.15%÷1.000×0.740×1.050×0.9754.66%
Triples /BIP0.00%÷1.000×0.740×1.050×0.9750.00%
Home runs /BIP1.54%÷1.000×0.800—×0.9751.20%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .239; ISO .080 → .061; BABIP .297 → .248. 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).