Felix G. Santana

PosLF
B/TR/R
Born1994-08-19
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
ROKLAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201419ROKDET228.358/.454/.48221468—.225/.317/.290
201520ROKGCL Tigers137.302/.343/.4212050—.219/.254/.289
201621ROKGCL Tigers We…33.167/.242/.367108—.129/.182/.323
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)
201116 ROKDSL Tigers — 162142 29723 12437 56 204298345643 141268 277 292 13 — — — — — —
201217 ROKDSL Tigers — 231197 46801 21615 53 234321289611 56326 269 278 17 — — — — — —
201318 ROKDSL Tigers — 182161 35721 12317 35 217300304604 87260 177 277 7 — — — — — —
201419 ROKDSL Tigers — 228193 691422 213613 145 358454482936 124429 169 420 68 — — — — — —
201520 ROKGCL Tigers — 137126 38902 5233 00 302343421764 119356 174 335 50 — — — — — —
201621 ROKGCL Tigers West — 3330 5111 261 00 167242367609 200174 186 270 8 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201116 ROK MLEDSL Tigers — 162145 18411 9527 56 124211186397 62185 326 188 13 — — — — — —
201217 ROK MLEDSL Tigers — 231204 32500 15745 53 157232181414 25229 326 193 17 — — — — — —
201318 ROK MLEDSL Tigers — 182165 22410 8387 35 133206170375 36168 214 179 7 — — — — — —
201419 ROK MLEDSL Tigers — 228200 45811 144413 145 225317290607 65273 196 268 68 — — — — — —
201520 ROK MLEGCL Tigers — 137128 28601 3333 00 219254289543 70284 242 242 50 — — — — — —
201621 ROK MLEGCL Tigers West — 3331 4111 191 00 129182323504 194129 273 180 8 — — — — — —
201116 ROK MLEDSL Tigers — 162145 18411 9527 56 124211186397 62183 326 188 13 — — — — — —
201116 ROK RAWDSL Tigers — 162142 29723 12437 56 204298345643 141268 277 292 13 — — — — — —
201217 ROK MLEDSL Tigers — 231204 32500 15745 53 157232181414 25241 326 193 17 — — — — — —
201217 ROK RAWDSL Tigers — 231197 46801 21615 53 234321289611 56326 269 278 17 — — — — — —
201318 ROK MLEDSL Tigers — 182165 22410 8387 35 133206170375 36171 214 179 7 — — — — — —
201318 ROK RAWDSL Tigers — 182161 35721 12317 35 217300304604 87260 177 277 7 — — — — — —
201419 ROK MLEDSL Tigers — 228200 45811 144413 145 225317290607 65282 196 268 68 — — — — — —
201419 ROK RAWDSL Tigers — 228193 691422 213613 145 358454482936 124429 169 420 68 — — — — — —
201520 ROK MLEGCL Tigers — 137128 28601 3333 00 219254289543 70287 242 242 50 — — — — — —
201520 ROK RAWGCL Tigers — 137126 38902 5233 00 302343421764 119356 174 335 50 — — — — — —
201621 ROK MLEGCL Tigers West — 3331 4111 191 00 129182323504 194143 273 180 8 — — — — — —
201621 ROK RAWGCL Tigers West — 3330 5111 261 00 167242367609 200174 186 270 8 — — — — — —
201116 ROK MLEDSL Tigers — 162145 18411 9527 56 124211186397 62185 326 188 13 — — — — — —
201217 ROK MLEDSL Tigers — 231209 32500 15745 53 153232177409 24229 326 193 17 — — — — — —
201318 ROK MLEDSL Tigers — 182165 22410 8387 35 133206170375 36168 214 179 7 — — — — — —
201419 ROK MLEDSL Tigers — 228199 45811 144413 145 226317291609 65273 196 268 68 — — — — — —
201520 ROK MLEGCL Tigers — 137130 28601 3333 00 215254285538 69284 242 242 50 — — — — — —
201621 ROK MLEGCL Tigers West — 3331 4111 191 00 129182323504 194129 273 180 8 — — — — — —
▸ Career Totals
Career— MLE — 973873 1492844 5025036 2719 171245226471 55232 265 214 31 -80 -2 +0 -10 +21 -7.3
/ 162G— MLE — 650583 1001933 3316724 1813 172245230475 58232 265 214 31 -54 -2 +0 -7 +14 -4.9

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.

2016 ROKGCL Tigers West · 33 PAwOBA .263 → .180 (−83)K% 18.2% → 26.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷1.000×1.440——26.18%
BB% (unintentional) /PA6.06%÷1.000×0.620—×0.9753.66%
HBP% /PA3.03%—×0.720—×0.9752.13%
Singles /BIP8.33%÷1.000×0.820—×0.9756.66%
Doubles /BIP4.17%÷1.000×0.720—×0.9752.92%
Triples /BIP4.17%÷1.000×0.720—×0.9752.92%
Home runs /BIP4.17%÷1.000×0.780—×0.9753.17%

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 .263 → .180; ISO .200 → .137; BABIP .174 → .129. 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 Tigers · 137 PAwOBA .325 → .242 (−83)K% 16.8% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.79%÷1.000×1.440——24.18%
BB% (unintentional) /PA3.65%÷1.000×0.620—×0.9852.23%
HBP% /PA2.19%—×0.720—×0.9851.55%
Singles /BIP26.21%÷1.000×0.820×1.023×0.98521.65%
Doubles /BIP8.74%÷1.000×0.720×1.023×0.9856.34%
Triples /BIP0.00%÷1.000×0.720×1.023×0.9850.00%
Home runs /BIP1.94%÷1.000×0.780—×0.9851.49%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .325 → .242; ISO .119 → .085; BABIP .356 → .284. 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 Tigers · 228 PAwOBA .410 → .268 (−142)K% 15.8% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷1.000×1.220——19.26%
BB% (unintentional) /PA8.77%÷1.000×0.700—×0.9856.05%
HBP% /PA5.70%—×0.700—×0.9853.93%
Singles /BIP32.48%÷1.000×0.680×0.983×0.98521.39%
Doubles /BIP8.92%÷1.000×0.600×0.983×0.9855.18%
Triples /BIP1.27%÷1.000×0.600×0.983×0.9850.74%
Home runs /BIP1.27%÷1.000×0.470—×0.9850.59%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .410 → .268; ISO .124 → .070; BABIP .429 → .273. 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 Tigers · 182 PAwOBA .273 → .179 (−94)K% 17.0% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.03%÷1.000×1.220——20.78%
BB% (unintentional) /PA6.59%÷1.000×0.700—×0.9954.59%
HBP% /PA3.85%—×0.700—×0.9952.68%
Singles /BIP19.23%÷1.000×0.680×0.993×0.99512.92%
Doubles /BIP5.38%÷1.000×0.600×0.993×0.9953.19%
Triples /BIP1.54%÷1.000×0.600×0.993×0.9950.91%
Home runs /BIP0.77%÷1.000×0.470—×0.9950.36%

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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .273 → .179; ISO .087 → .050; BABIP .260 → .168. 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).

2012 DSLDSL Tigers · 231 PAwOBA .275 → .193 (−82)K% 26.4% → 32.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.41%÷1.000×1.220——32.22%
BB% (unintentional) /PA9.09%÷1.000×0.700—×1.0086.41%
HBP% /PA2.16%—×0.700—×1.0081.53%
Singles /BIP27.21%÷1.000×0.680×1.050×1.00819.57%
Doubles /BIP5.88%÷1.000×0.600×1.050×1.0083.73%
Triples /BIP0.00%÷1.000×0.600×1.050×1.0080.00%
Home runs /BIP0.74%÷1.000×0.470—×1.0080.35%

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 ×1.050.

Result: wOBA .275 → .193; ISO .056 → .034; BABIP .326 → .229. 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).

2011 DSLDSL Tigers · 162 PAwOBA .287 → .188 (−98)K% 26.5% → 32.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.54%÷1.000×1.220——32.38%
BB% (unintentional) /PA7.41%÷1.000×0.700—×1.0225.30%
HBP% /PA4.32%—×0.700—×1.0223.09%
Singles /BIP17.17%÷1.000×0.680×1.049×1.02212.53%
Doubles /BIP7.07%÷1.000×0.600×1.049×1.0224.55%
Triples /BIP2.02%÷1.000×0.600×1.049×1.0221.30%
Home runs /BIP3.03%÷1.000×0.470—×1.0221.46%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .287 → .188; ISO .141 → .078; BABIP .268 → .185. 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).