Darren Seferina

Pos2B
B/TL/R
Born1994-01-24
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201723AA/A+STL501.278/.357/.40971972—.231/.291/.327
201824AA/AMIL386.214/.307/.32161736—.169/.238/.244
202228INTLCuracao23.111/.304/.1110042—
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 APeoria Chiefs — 451410 12126124 37881 2317 295355446801 151367 208 353 82 — — — — — —
201622 A+Palm Beach Cardinals — 309275 68751 25682 326 247315320635 73321 228 284 42 — — — — — —
201723 AASpringfield Cardinals — 197173 48615 21421 103 277359410769 133339 2111 344 74 — — — — — —
201723 A+Palm Beach Cardinals — 304270 751192 33610 94 278356407764 130353 2011 341 70 — — — — — —
201824 AABiloxi Shuckers — 10596 14203 4291 41 146188260449 115164 284 195 -4 — — — — — —
201824 AWisconsin Timber Rattlers — 281240 581033 40520 138 242350346696 104296 1914 320 51 — — — — — —
202228 INTLCuracao — 2318 2000 550 00 111304111415 154 2222 230 42 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201521 A MLEPeoria Chiefs — 451423 10720123 241201 2317 253295378673 125344 275 290 82 — — — — — —
201622 A+ MLEPalm Beach Cardinals — 309281 58741 191002 326 206262270532 64294 326 230 42 — — — — — —
201723 AA MLESpringfield Cardinals — 197180 43513 14521 103 239297328625 89311 267 277 74 — — — — — —
201723 A+ MLEPalm Beach Cardinals — 304279 631062 24860 94 226287326613 100319 288 271 70 — — — — — —
201824 AA MLEBiloxi Shuckers — 10597 12202 3381 41 124158206365 82158 363 162 -4 — — — — — —
201824 A MLEWisconsin Timber Rattlers — 281252 47822 28730 138 187268258526 71254 2610 244 51 — — — — — —
201521 A MLEPeoria Chiefs — 451423 10720123 241201 2317 253295378673 125346 275 290 82 — — — — — —
201521 A RAWPeoria Chiefs — 451410 12126124 37881 2317 295355446801 151367 208 353 82 — — — — — —
201622 A+ MLEPalm Beach Cardinals — 309281 58741 191002 326 206262270532 64311 326 230 42 — — — — — —
201622 A+ RAWPalm Beach Cardinals — 309275 68751 25682 326 247315320635 73321 228 284 42 — — — — — —
201723 A+ MLE2 teams — 501458 1061575 391381 197 231293328621 96320 288 273 71 — — — — — —
201723 A+ RAW2 teams — 501443 12317107 541031 197 278357409766 131347 2111 342 71 — — — — — —
201824 A MLE2 teams — 386349 601024 311111 179 172241246488 74235 298 222 36 — — — — — —
201824 A RAW2 teams — 386336 721236 44811 179 214307321629 107261 2111 286 36 — — — — — —
202228 INTL MLECuracao — 2318 2000 550 00 111304111415 154 2222 — — — — — — — —
202228 INTL RAWCuracao — 2318 2000 550 00 111304111415 154 2222 230 42 — — — — — —
201521 A MLEPeoria Chiefs — 451423 10720123 241201 2317 253295378673 125344 275 290 82 — — — — — —
201622 A+ MLEPalm Beach Cardinals — 309285 58741 191002 326 204262267528 63294 326 230 42 — — — — — —
201723 A+ MLE2 teams — 501456 1061575 391381 197 232293329622 96316 288 273 71 — — — — — —
201824 A MLE2 teams — 386351 601024 311111 179 171241245486 74228 298 222 36 — — — — — —
▸ Career Totals
Career— MLE — 16701529 333522513 1184745 9139 218276310586 92304 287 254 58 -83 +3 +0 +6 +36 -3.9
/ 162G— MLE — 650595 13020105 461842 3515 218277311588 92305 287 254 58 -32 +1 +0 +2 +14 -1.5

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.

2018 AWisconsin Timber Rattlers · 281 PAwOBA .312 → .244 (−68)K% 18.5% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.51%÷0.967×1.360——26.03%
BB% (unintentional) /PA13.88%÷0.946×0.690—×0.9809.92%
HBP% /PA0.00%—×0.780—×0.9800.00%
Singles /BIP22.34%÷0.998×0.920×0.971×0.98019.60%
Doubles /BIP5.32%÷0.957×0.830×0.971×0.9804.39%
Triples /BIP1.60%÷1.112×0.910×0.971×0.9801.24%
Home runs /BIP1.60%÷1.019×0.800—×0.9801.23%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 100, 2B 91, 3B 122, K 93, BB 89 — 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 ×0.971.

Result: wOBA .312 → .244; ISO .104 → .079; BABIP .296 → .254. 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 AABiloxi Shuckers · 105 PAwOBA .195 → .162 (−34)K% 27.6% → 36.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.62%÷0.933×1.220——36.11%
BB% (unintentional) /PA3.81%÷0.964×0.680—×1.0122.72%
HBP% /PA0.95%—×0.840—×1.0120.81%
Singles /BIP13.43%÷0.967×0.920×1.006×1.01213.00%
Doubles /BIP2.99%÷0.918×0.910×1.006×1.0123.01%
Triples /BIP0.00%÷0.900×0.880×1.006×1.0120.00%
Home runs /BIP4.48%÷1.078×0.800—×1.0123.36%

Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 93, 2B 84, 3B 80, K 87, BB 93 — 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 ×1.006.

Result: wOBA .195 → .162; ISO .115 → .087; BABIP .164 → .158. 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+Palm Beach Cardinals · 304 PAwOBA .332 → .271 (−60)K% 20.1% → 28.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.07%÷1.007×1.420——28.30%
BB% (unintentional) /PA10.53%÷0.990×0.750—×0.9987.95%
HBP% /PA0.00%—×0.930—×0.9980.00%
Singles /BIP25.36%÷0.992×0.920×0.997×0.99823.40%
Doubles /BIP5.26%÷0.970×0.960×0.997×0.9985.18%
Triples /BIP4.31%÷1.150×0.810×0.997×0.9983.02%
Home runs /BIP0.96%÷0.824×0.880—×0.9981.02%

Factors used: league row FSL. Park (home-season share, regressed): HR 65, 1B 98, 2B 94, 3B 130, K 101, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .332 → .271; ISO .130 → .102; BABIP .353 → .319. 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 AASpringfield Cardinals · 197 PAwOBA .336 → .277 (−60)K% 21.3% → 26.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.32%÷0.990×1.220——26.27%
BB% (unintentional) /PA10.66%÷1.048×0.700—×1.0277.31%
HBP% /PA0.51%—×0.870—×1.0270.45%
Singles /BIP27.48%÷0.992×0.920×0.994×1.02726.01%
Doubles /BIP4.58%÷1.009×0.840×0.994×1.0273.89%
Triples /BIP0.76%÷1.093×0.940×0.994×1.0270.67%
Home runs /BIP3.82%÷1.315×0.800—×1.0272.39%

Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .336 → .277; ISO .133 → .093; BABIP .339 → .311. 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 A+Palm Beach Cardinals · 309 PAwOBA .279 → .230 (−49)K% 22.0% → 32.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.01%÷0.962×1.420——32.48%
BB% (unintentional) /PA7.77%÷0.988×0.750—×1.0125.97%
HBP% /PA0.65%—×0.930—×1.0120.61%
Singles /BIP26.57%÷1.047×0.920×1.023×1.01224.16%
Doubles /BIP3.38%÷0.947×0.960×1.023×1.0123.55%
Triples /BIP2.42%÷1.000×0.810×1.023×1.0122.03%
Home runs /BIP0.48%÷0.979×0.880—×1.0120.44%

Factors used: league row FSL. Park (home-season share, regressed): HR 96, 1B 109, 2B 89, 3B 100, K 92, BB 98 — 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 ×1.023.

Result: wOBA .279 → .230; ISO .073 → .061; BABIP .321 → .294. 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 APeoria Chiefs · 451 PAwOBA .344 → .290 (−54)K% 19.5% → 26.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.51%÷0.992×1.360——26.75%
BB% (unintentional) /PA8.20%÷1.086×0.690—×1.0155.29%
HBP% /PA0.22%—×0.780—×1.0150.18%
Singles /BIP24.53%÷0.982×0.920×1.012×1.01523.61%
Doubles /BIP8.07%÷1.036×0.830×1.012×1.0156.65%
Triples /BIP3.73%÷0.900×0.910×1.012×1.0153.87%
Home runs /BIP1.24%÷0.992×0.800—×1.0151.02%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 96, 2B 107, 3B 80, K 98, BB 117 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .344 → .290; ISO .151 → .130; BABIP .367 → .344. 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 — .