Nate Freiman

Pos1B
B/TR/R
Born1986-12-31
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201528AAAMIL306.220/.281/.3214138—.189/.235/.274
201629AAA/AA2 orgs394.267/.358/.43611068—.216/.281/.327
201730AAAPericos de Pu…244.298/.423/.4808093—.230/.320/.362
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)
201023 AFort Wayne TinCaps — 594523 15443014 581177 00 294372457829 163352 2010 367 76 — — — — — —
201124 A+Lake Elsinore Storm — 618548 15835422 509311 61 288360487847 199308 158 369 91 — — — — — —
201225 AASan Antonio Missions — 581516 15431124 499512 02 298373502875 203324 168 384 101 — — — — — —
201225 INTLPeoria Javelinas — 9279 21501 9123 00 266363367730 101299 1310 332 111 — — — — — —
201326 MLBOakland Athletics — 208190 52814 14312 00 274330389720 116306 157 321 106 +1 +0 -3 -4 +5 -0.1
201427 MLBOakland Athletics — 9387 19505 5231 00 218269448717 230237 255 314 100 -0 +0 -2 -8 +2 -0.8
201427 AAASacramento River Cats — 364310 8822115 40737 00 284378506885 223319 2011 383 95 — — — — — —
201528 AAANashville Sounds — 306277 611414 21513 10 220281321603 101252 177 271 38 — — — — — —
201629 AAASyracuse Chiefs — 2626 4110 0100 00 154154269423 115250 380 181 -22 — — — — — —
201629 AAPortland Sea Dogs — 368311 8617211 43685 02 277373450823 174311 1812 360 74 — — — — — —
201730 AAAPericos de Puebla — 244198 591018 37386 00 298423480903 182329 1615 400 93 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 301277 711319 19543 00 256311408719 152287 186 319 102 +1 +0 -5 -12 +7 -1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201023 A MLEFort Wayne TinCaps — 594546 12632012 351667 00 231286355641 125300 286 281 76 — — — — — —
201124 A+ MLELake Elsinore Storm — 618568 13528322 3013511 61 238289414703 176262 225 302 91 — — — — — —
201225 AA MLESan Antonio Missions — 581534 13627121 3111512 02 255310427737 172283 205 317 101 — — — — — —
201326 MLB MLEOakland Athletics — 208190 52814 14312 00 274330389720 116306 157 324 106 +1 +0 -3 -4 +5 -0.1
201427 MLB MLEOakland Athletics — 9388 19505 4231 00 216258443701 227237 254 316 100 -0 +0 -2 -8 +2 -0.8
201427 AAA MLESacramento River Cats — 364321 7519110 29947 00 234311393703 159279 268 308 95 — — — — — —
201528 AAA MLENashville Sounds — 306285 541014 14643 10 189235274509 84223 215 225 38 — — — — — —
201629 AAA MLESyracuse Chiefs — 2626 3110 0130 00 115115231346 115226 500 135 -22 — — — — — —
201629 AA MLEPortland Sea Dogs — 368327 731426 27845 02 223292333626 110262 237 277 74 — — — — — —
201730 AAA MLEPericos de Puebla — 244213 49816 22506 00 230320362681 131261 209 305 93 — — — — — —
201023 A MLEFort Wayne TinCaps — 594546 12632012 351667 00 231286355641 125305 286 281 76 — — — — — —
201023 A RAWFort Wayne TinCaps — 594523 15443014 581177 00 294372457829 163352 2010 367 76 — — — — — —
201124 A+ MLELake Elsinore Storm — 618568 13528322 3013511 61 238289414703 176269 225 302 91 — — — — — —
201124 A+ RAWLake Elsinore Storm — 618548 15835422 509311 61 288360487847 199308 158 369 91 — — — — — —
201225 AA MLE2 teams — 673617 15731124 3613315 02 254311425736 170286 205 317 101 — — — — — —
201225 AA RAW2 teams — 673595 17536125 5810715 02 294371484855 190321 169 377 101 — — — — — —
201326 MLB MLEOakland Athletics — 208190 52814 14312 00 274330389720 116306 157 324 106 +1 +0 -3 -4 +5 -0.1
201326 MLB RAWOakland Athletics — 208190 52814 14312 00 274330389720 116306 157 321 106 +1 +0 -3 -4 +5 -0.1
201427 AAA MLE2 teams — 457409 9423116 331178 00 230300408708 178276 267 310 96 — — — — — —
201427 AAA RAW2 teams — 457397 10727120 45968 00 270356494849 224302 2110 369 96 — — — — — —
201528 AAA MLENashville Sounds — 306285 541014 14643 10 189235274509 84226 215 225 38 — — — — — —
201528 AAA RAWNashville Sounds — 306277 611414 21513 10 220281321603 101252 177 271 38 — — — — — —
201629 AA MLE2 teams — 394353 761536 27975 02 215281326606 110270 257 268 67 — — — — — —
201629 AA RAW2 teams — 394337 9018311 43785 02 267358436795 169307 2011 348 67 — — — — — —
201730 AAA MLEPericos de Puebla — 244213 49816 22506 00 230320362681 131269 209 305 93 — — — — — —
201730 AAA RAWPericos de Puebla — 244198 591018 37386 00 298423480903 182329 1615 400 93 — — — — — —
201023 A MLEFort Wayne TinCaps — 594547 12632012 351667 00 230286355640 124300 286 281 76 — — — — — —
201124 A+ MLELake Elsinore Storm — 618572 13528322 3013511 61 236289411700 175262 225 302 91 — — — — — —
201225 AA MLE2 teams — 673617 15731124 3613315 02 254311425736 170283 205 317 101 — — — — — —
201326 MLB MLEOakland Athletics — 208190 52814 14312 00 274330389720 116306 157 324 106 — — — — — —
201427 AAA MLE2 teams — 457413 9423116 331178 00 228300404704 177271 267 310 96 — — — — — —
201528 AAA MLENashville Sounds — 306286 541014 14643 10 189235273508 84223 215 225 38 — — — — — —
201629 AA MLE2 teams — 394359 761536 27975 02 212281320601 109260 257 268 67 — — — — — —
201730 AAA MLEPericos de Puebla — 244214 49816 22506 00 229320360679 131261 209 305 93 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 301277 711319 19543 00 256311408719 152287 186 319 85 +1 +0 -5 -12 +7 -1.0
/ 162G— A+C — 650598 15328219 411176 00 256310405714 149288 186 319 85 +1 +0 -11 -26 +14 -2.2
Career— MLE — 34943181 7431551194 21179357 75 234293378671 144277 236 293 85 +1 +0 -5 -12 +7 -1.0
/ 162G— MLE — 650592 13829217 3914811 11 233293375668 142278 236 293 85 +1 +0 -11 -26 +14 -2.2

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 AAAPericos de Puebla · 244 PAwOBA .391 → .305 (−85)K% 15.6% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.57%÷0.920×1.200——20.31%
BB% (unintentional) /PA13.93%÷1.033×0.690—×0.9628.95%
HBP% /PA2.46%—×0.940—×0.9622.22%
Singles /BIP25.00%÷1.055×0.930×0.950×0.96220.15%
Doubles /BIP6.25%÷0.946×0.830×0.950×0.9625.01%
Triples /BIP0.62%÷1.114×0.920×0.950×0.9620.47%
Home runs /BIP5.00%÷0.910×0.700—×0.9623.70%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 111, 2B 89, 3B 123, K 84, BB 107 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .305; ISO .182 → .144; BABIP .329 → .261. 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 AAPortland Sea Dogs · 368 PAwOBA .359 → .277 (−82)K% 18.5% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.48%÷0.985×1.220——22.89%
BB% (unintentional) /PA11.68%÷1.050×0.700—×0.9487.39%
HBP% /PA1.36%—×0.850—×0.9481.09%
Singles /BIP23.05%÷1.040×0.970×0.989×0.94820.14%
Doubles /BIP7.00%÷0.997×0.860×0.989×0.9485.66%
Triples /BIP0.82%÷1.031×0.950×0.989×0.9480.71%
Home runs /BIP4.53%÷1.371×0.780—×0.9482.44%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .359 → .277; ISO .174 → .117; BABIP .311 → .262. 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 AAASyracuse Chiefs · 26 PAwOBA .176 → .135 (−41)K% 38.5% → 48.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA38.46%÷0.949×1.200——48.62%
BB% (unintentional) /PA0.00%÷1.110×0.690—×0.9720.00%
HBP% /PA0.00%—×0.940—×0.9720.00%
Singles /BIP12.50%÷1.048×0.930—×0.97210.78%
Doubles /BIP6.25%÷0.959×0.830—×0.9725.26%
Triples /BIP6.25%÷0.900×0.970—×0.9726.55%
Home runs /BIP0.00%÷0.978×0.840—×0.9720.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .176 → .135; ISO .115 → .094; BABIP .250 → .226. 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 AAANashville Sounds · 306 PAwOBA .267 → .225 (−42)K% 16.7% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷1.034×1.290——20.78%
BB% (unintentional) /PA6.86%÷1.018×0.710—×0.9824.70%
HBP% /PA0.98%—×0.980—×0.9820.94%
Singles /BIP18.58%÷0.953×0.900×1.003×0.98217.28%
Doubles /BIP6.19%÷1.063×0.810×1.003×0.9824.65%
Triples /BIP0.44%÷0.952×0.810×1.003×0.9820.37%
Home runs /BIP1.77%÷0.843×0.780—×0.9821.61%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .267 → .225; ISO .101 → .083; BABIP .252 → .223. 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 AAASacramento River Cats · 364 PAwOBA .379 → .308 (−71)K% 20.1% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.05%÷0.998×1.290——25.93%
BB% (unintentional) /PA10.71%÷0.953×0.710—×0.9927.92%
HBP% /PA1.92%—×0.980—×0.9921.87%
Singles /BIP21.10%÷0.975×0.900×0.993×0.99219.20%
Doubles /BIP9.28%÷0.929×0.810×0.993×0.9927.97%
Triples /BIP0.42%÷1.072×0.810×0.993×0.9920.31%
Home runs /BIP6.33%÷1.092×0.780—×0.9924.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 95, 2B 86, 3B 114, K 100, BB 91 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .379 → .308; ISO .223 → .167; BABIP .319 → .279. 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 AASan Antonio Missions · 581 PAwOBA .375 → .317 (−59)K% 16.4% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.35%÷1.006×1.220——19.83%
BB% (unintentional) /PA8.26%÷1.067×0.700—×0.9885.35%
HBP% /PA2.07%—×0.870—×0.9881.78%
Singles /BIP23.28%÷1.018×0.920×0.988×0.98820.54%
Doubles /BIP7.36%÷0.946×0.840×0.988×0.9886.39%
Triples /BIP0.24%÷0.968×0.940×0.988×0.9880.23%
Home runs /BIP5.70%÷0.919×0.800—×0.9884.90%

Factors used: league row TL. Park (home-season share, regressed): HR 84, 1B 104, 2B 89, 3B 94, K 101, BB 113 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .375 → .317; ISO .203 → .177; BABIP .324 → .283. 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 A+Lake Elsinore Storm · 618 PAwOBA .362 → .302 (−60)K% 15.0% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.05%÷0.923×1.340——21.84%
BB% (unintentional) /PA7.44%÷1.052×0.710—×0.9784.91%
HBP% /PA1.78%—×0.790—×0.9781.38%
Singles /BIP21.32%÷1.026×0.910×0.999×0.97818.46%
Doubles /BIP7.69%÷0.976×0.820×0.999×0.9786.31%
Triples /BIP0.88%÷1.016×0.760×0.999×0.9780.64%
Home runs /BIP4.84%÷0.874×0.920—×0.9784.98%

Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 105, 2B 95, 3B 103, K 85, BB 110 — 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 ×0.999.

Result: wOBA .362 → .302; ISO .199 → .183; BABIP .308 → .262. 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).

2010 AFort Wayne TinCaps · 594 PAwOBA .358 → .281 (−76)K% 19.7% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.70%÷0.956×1.360——28.04%
BB% (unintentional) /PA8.92%÷1.020×0.690—×0.9805.91%
HBP% /PA1.18%—×0.780—×0.9800.90%
Singles /BIP23.89%÷1.022×0.920×1.011×0.98021.31%
Doubles /BIP10.59%÷1.062×0.830×1.011×0.9808.20%
Triples /BIP0.00%÷0.995×0.910×1.011×0.9800.00%
Home runs /BIP3.45%÷0.881×0.800—×0.9803.07%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 104, 2B 112, 3B 99, K 91, BB 104 — 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 ×1.011.

Result: wOBA .358 → .281; ISO .163 → .129; BABIP .352 → .300. 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 — .