Daniel Torres

PosC
B/TR/R
Born1992-05-29
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201523A+/A2 orgs305.174/.278/.2080013—.149/.225/.178
201624A+Bakersfield B…297.228/.313/.2902030—.182/.244/.230
201725A+Modesto Nuts94.181/.261/.19300-4—.141/.207/.153
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. 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)
201321 ROKPulaski Mariners — 8777 16200 6192 11 208282234516 26276 227 240 4 — — — — — —
201422 ROKPulaski Mariners — 162136 33410 19261 12 243340287627 44289 1612 284 30 — — — — — —
201523 A+Bakersfield Blaze — 206179 30700 25500 02 168270207476 39231 2412 229 11 — — — — — —
201523 AClinton LumberKings — 9985 16200 13190 00 188296212508 24239 1913 246 18 — — — — — —
201624 A+Bakersfield Blaze — 297259 591002 30612 01 228313290602 62286 2110 276 30 — — — — — —
201725 A+Modesto Nuts — 9483 15100 7212 01 181261193454 12238 227 216 -4 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201321 ROK MLEPulaski Mariners — 8779 12100 4272 11 152212165376 13227 315 174 4 — — — — — —
201422 ROK MLEPulaski Mariners — 162143 27310 12371 12 189256224480 35229 237 213 30 — — — — — —
201523 A+ MLEBakersfield Blaze — 206186 27600 18680 02 145221177398 32219 339 185 11 — — — — — —
201523 A MLEClinton LumberKings — 9989 14200 9270 00 157235180414 22219 279 195 18 — — — — — —
201624 A+ MLEBakersfield Blaze — 297269 49702 20812 01 182244230474 48241 277 213 30 — — — — — —
201725 A+ MLEModesto Nuts — 9485 12100 5292 01 141207153359 12199 315 163 -4 — — — — — —
201321 ROK MLEPulaski Mariners — 8779 12100 4272 11 152212165376 13231 315 174 4 — — — — — —
201321 ROK RAWPulaski Mariners — 8777 16200 6192 11 208282234516 26276 227 240 4 — — — — — —
201422 ROK MLEPulaski Mariners — 162143 27310 12371 12 189256224480 35245 237 213 30 — — — — — —
201422 ROK RAWPulaski Mariners — 162136 33410 19261 12 243340287627 44289 1612 284 30 — — — — — —
201523 A+ MLE2 teams — 305275 41800 27950 02 149225178403 29225 319 188 14 — — — — — —
201523 A+ RAW2 teams — 305264 46900 38690 02 174278208486 34234 2312 235 14 — — — — — —
201624 A+ MLEBakersfield Blaze — 297269 49702 20812 01 182244230474 48249 277 213 30 — — — — — —
201624 A+ RAWBakersfield Blaze — 297259 591002 30612 01 228313290602 62286 2110 276 30 — — — — — —
201725 A+ MLEModesto Nuts — 9485 12100 5292 01 141207153359 12211 315 163 -4 — — — — — —
201725 A+ RAWModesto Nuts — 9483 15100 7212 01 181261193454 12238 227 216 -4 — — — — — —
201321 ROK MLEPulaski Mariners — 8781 12100 4272 11 148212160372 12227 315 174 4 — — — — — —
201422 ROK MLEPulaski Mariners — 162148 27310 12371 12 182256216473 34229 237 213 30 — — — — — —
201523 A+ MLE2 teams — 305275 41800 27950 02 149225178403 29219 319 188 14 — — — — — —
201624 A+ MLEBakersfield Blaze — 297273 49702 20812 01 179244227471 48241 277 213 30 — — — — — —
201725 A+ MLEModesto Nuts — 9487 12100 5292 01 138207149356 11199 315 163 -4 — — — — — —
▸ Career Totals
Career— MLE — 945851 1412012 682697 27 166233199432 33236 287 196 19 -91 -2 +0 +17 +20 -5.7
/ 162G— MLE — 650585 971411 471855 15 166234198432 32236 287 196 19 -63 -2 +0 +12 +14 -3.9

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.

2017 A+Modesto Nuts · 94 PAwOBA .213 → .163 (−50)K% 22.3% → 30.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.34%÷0.972×1.340——30.79%
BB% (unintentional) /PA7.45%÷0.995×0.710—×0.9785.20%
HBP% /PA2.13%—×0.790—×0.9781.64%
Singles /BIP22.58%÷1.008×0.910×0.958×0.97819.11%
Doubles /BIP1.61%÷1.082×0.820×0.958×0.9781.15%
Triples /BIP0.00%÷1.041×0.760×0.958×0.9780.00%
Home runs /BIP0.00%÷0.866×0.920—×0.9780.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 73, 1B 102, 2B 116, 3B 108, K 94, BB 99 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .213 → .163; ISO .012 → .008; BABIP .238 → .199. 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+Bakersfield Blaze · 297 PAwOBA .271 → .213 (−58)K% 20.5% → 27.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.54%÷1.008×1.340——27.29%
BB% (unintentional) /PA9.76%÷1.045×0.710—×0.9886.55%
HBP% /PA0.67%—×0.790—×0.9880.53%
Singles /BIP23.74%÷1.038×0.910×1.000×0.98820.57%
Doubles /BIP5.05%÷1.120×0.820×1.000×0.9883.66%
Triples /BIP0.00%÷0.900×0.760×1.000×0.9880.00%
Home runs /BIP1.01%÷0.973×0.920—×0.9880.94%

Factors used: league row CAL. Park (home-season share, regressed): HR 95, 1B 108, 2B 124, 3B 80, K 102, BB 109 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .271 → .213; ISO .062 → .049; BABIP .286 → .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).

2015 A+Bakersfield Blaze · 206 PAwOBA .225 → .185 (−41)K% 24.3% → 32.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.27%÷0.988×1.340——32.93%
BB% (unintentional) /PA12.14%÷0.999×0.710—×0.9988.61%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP17.83%÷0.995×0.910×1.050×0.99817.09%
Doubles /BIP5.43%÷0.930×0.820×1.050×0.9985.01%
Triples /BIP0.00%÷0.900×0.760×1.050×0.9980.00%
Home runs /BIP0.00%÷1.077×0.920—×0.9980.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 115, 1B 99, 2B 86, 3B 80, K 98, BB 100 — 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 ×1.050.

Result: wOBA .225 → .185; ISO .039 → .034; BABIP .231 → .219. 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 AClinton LumberKings · 99 PAwOBA .243 → .195 (−48)K% 19.2% → 27.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.19%÷0.958×1.360——27.24%
BB% (unintentional) /PA13.13%÷1.007×0.690—×0.9908.90%
HBP% /PA0.00%—×0.780—×0.9900.00%
Singles /BIP21.21%÷1.031×0.920×1.050×0.99019.68%
Doubles /BIP3.03%÷1.003×0.830×1.050×0.9902.61%
Triples /BIP0.00%÷0.900×0.910×1.050×0.9900.00%
Home runs /BIP0.00%÷0.847×0.800—×0.9900.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 106, 2B 101, 3B 80, K 92, BB 102 — 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 ×1.050.

Result: wOBA .243 → .195; ISO .024 → .019; BABIP .239 → .219. 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 ROKPulaski Mariners · 162 PAwOBA .285 → .213 (−71)K% 16.0% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.05%÷1.000×1.420——22.79%
BB% (unintentional) /PA11.73%÷1.000×0.640—×0.9757.32%
HBP% /PA0.62%—×0.740—×0.9750.45%
Singles /BIP25.45%÷1.000×0.840×0.982×0.97520.48%
Doubles /BIP3.64%÷1.000×0.740×0.982×0.9752.58%
Triples /BIP0.91%÷1.000×0.740×0.982×0.9750.64%
Home runs /BIP0.00%÷1.000×0.800—×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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .285 → .213; ISO .044 → .032; BABIP .289 → .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).

2013 ROKPulaski Mariners · 87 PAwOBA .234 → .174 (−61)K% 21.8% → 31.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.84%÷1.000×1.420——31.01%
BB% (unintentional) /PA6.90%÷1.000×0.640—×0.9854.35%
HBP% /PA2.30%—×0.740—×0.9851.68%
Singles /BIP24.14%÷1.000×0.840×1.010×0.98520.18%
Doubles /BIP3.45%÷1.000×0.740×1.010×0.9852.54%
Triples /BIP0.00%÷1.000×0.740×1.010×0.9850.00%
Home runs /BIP0.00%÷1.000×0.800—×0.9850.00%

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 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 ×1.010.

Result: wOBA .234 → .174; ISO .026 → .018; BABIP .276 → .227. 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).