Braden Bishop

PosCF
B/TR/R
Born1993-08-22
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202026MLBSEA34.167/.242/.2330135-0.2
202127AAASF340.318/.385/.5311210112—.275/.328/.441
202228AAAMIN284.230/.304/.34861245—.197/.251/.292
202329No MLB games played
202430No MLB games played
202531No MLB games played
202632No MLB games played
Last 3 seasons WAR -0.2
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)
201622 A+Bakersfield Blaze — 184166 41602 11392 20 247302319621 72310 216 276 39 — — — — — —
201622 AClinton LumberKings — 284248 72511 25484 61 290365331695 40355 179 315 65 — — — — — —
201723 AAArkansas Travelers — 145125 42911 15153 61 336420448868 112373 1010 386 121 — — — — — —
201723 A+Modesto Nuts — 412355 1052532 45657 164 296386400786 104356 1611 353 79 — — — — — —
201723 INTLPeoria Javelinas — 6356 13210 4132 21 232306304610 71302 216 278 74 — — — — — —
201824 AAArkansas Travelers — 394345 982008 37686 52 284363412775 128331 179 345 88 — — — — — —
201925 MLBSeattle Mariners — 6056 6000 3210 00 107153107260 171 355 125 -29 -9 +0 +0 +1 +1 -0.6
201925 AAATacoma Rainiers — 211185 511508 23442 22 276362486848 211321 2111 373 77 — — — — — —
201925 A+Modesto Nuts — 2925 6110 292 00 240345360705 120375 317 324 36 — — — — — —
202026 MLBSeattle Mariners — 3430 5200 2101 10 167242233476 67250 296 218 35 -3 +0 -0 -0 +1 -0.2
202127 AAASacramento River Cats — 340305 9719512 27606 103 318385531916 213362 188 400 112 — — — — — —
202228 AAASt. Paul Saints — 284256 59826 24663 122 230304348652 117286 238 295 45 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 9486 11200 5311 10 128185151336 23200 335 159 -6 -12 +0 +0 +1 +2 -0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201622 A+ MLEBakersfield Blaze — 184169 35402 8522 20 207251266518 59277 284 226 39 — — — — — —
201622 A MLEClinton LumberKings — 284256 66511 17654 61 258314297611 39326 236 265 65 — — — — — —
201723 AA MLEArkansas Travelers — 145130 41811 10193 61 315378415793 100356 137 347 121 — — — — — —
201723 A+ MLEModesto Nuts — 412368 911922 32897 164 247319326645 79315 228 285 79 — — — — — —
201824 AA MLEArkansas Travelers — 394358 921907 24816 52 257314369683 112305 216 298 88 — — — — — —
201925 MLB MLESeattle Mariners — 6056 6000 3210 00 107153107260 171 355 126 -29 -9 +0 +0 +1 +1 -0.6
201925 AAA MLETacoma Rainiers — 211192 411106 16572 22 214281365646 151268 278 282 77 — — — — — —
201925 A+ MLEModesto Nuts — 2926 5110 1122 00 192276308584 115311 413 222 36 — — — — — —
202026 MLB MLESeattle Mariners — 3430 5200 2101 10 167242233476 67250 296 220 35 -3 +0 -0 -0 +1 -0.2
202127 AAA MLESacramento River Cats — 340313 861858 19706 103 275328441769 166326 216 333 112 — — — — — —
202228 AAA MLESt. Paul Saints — 284264 52625 16813 122 197251292543 95256 296 234 45 — — — — — —
201622 A MLE2 teams — 468426 1021013 241176 81 239289289578 49321 255 250 55 — — — — — —
201622 A RAW2 teams — 468414 1131113 36876 81 273340326666 53337 198 300 55 — — — — — —
201723 A+ MLE3 teams — 620554 1473033 4612012 246 265335347682 81333 197 301 90 — — — — — —
201723 A+ RAW3 teams — 620536 1603653 649312 246 299386401787 103355 1510 353 90 — — — — — —
201824 AA MLEArkansas Travelers — 394358 921907 24816 52 257314369683 112311 216 298 88 — — — — — —
201824 AA RAWArkansas Travelers — 394345 982008 37686 52 284363412775 128331 179 345 88 — — — — — —
201925 AAA MLE3 teams — 300274 521216 20914 22 190255307562 117258 307 245 52 — — — — — —
201925 AAA RAW3 teams — 300266 631618 28744 22 237319395714 158297 259 319 52 — — — — — —
202026 MLB MLESeattle Mariners — 3430 5200 2101 10 167242233476 67250 296 220 35 -3 +0 -0 -0 +1 -0.2
202026 MLB RAWSeattle Mariners — 3430 5200 2101 10 167242233476 67250 296 218 35 -3 +0 -0 -0 +1 -0.2
202127 AAA MLESacramento River Cats — 340313 861858 19706 103 275328441769 166329 216 333 112 — — — — — —
202127 AAA RAWSacramento River Cats — 340305 9719512 27606 103 318385531916 213362 188 400 112 — — — — — —
202228 AAA MLESt. Paul Saints — 284264 52625 16813 122 197251292543 95263 296 234 45 — — — — — —
202228 AAA RAWSt. Paul Saints — 284256 59826 24663 122 230304348652 117286 238 295 45 — — — — — —
201622 A MLE2 teams — 468435 1021013 241176 81 234289283572 48307 255 250 55 — — — — — —
201723 A+ MLE3 teams — 620557 1473033 4612012 246 264335345680 81326 197 301 90 — — — — — —
201824 AA MLEArkansas Travelers — 394361 921907 24816 52 255314366680 111305 216 298 88 — — — — — —
201925 AAA MLE3 teams — 300273 521216 20914 22 190255308563 117253 307 245 52 — — — — — —
202026 MLB MLESeattle Mariners — 3431 5200 2101 10 161242226468 65250 296 220 35 — — — — — —
202127 AAA MLESacramento River Cats — 340312 861858 19706 103 276328442771 167326 216 333 112 — — — — — —
202228 AAA MLESt. Paul Saints — 284263 52625 16813 122 198251293544 95256 296 234 45 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 9486 11200 5311 10 128185151336 23200 335 159 75 -12 +0 +0 +1 +2 -0.9
/ 162G— A+C — 650595 761400 352147 70 128186151337 24199 335 159 75 -82 +1 +2 +5 +14 -6.1
Career— MLE — 24402219 536971232 15157038 6216 242301339640 98310 236 279 75 -12 +0 +0 +1 +2 -0.9
/ 162G— MLE — 650591 1432639 4015210 174 242301342643 100309 236 279 75 -82 +1 +2 +5 +14 -6.1

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.

2022 AAASt. Paul Saints · 284 PAwOBA .289 → .234 (−55)K% 23.2% → 28.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.24%÷0.981×1.200——28.42%
BB% (unintentional) /PA8.45%÷1.012×0.690—×0.9825.66%
HBP% /PA1.06%—×0.940—×0.9820.98%
Singles /BIP22.63%÷1.000×0.930×1.016×0.98220.99%
Doubles /BIP4.21%÷1.079×0.830×1.016×0.9823.23%
Triples /BIP1.05%÷1.150×0.970×1.016×0.9820.89%
Home runs /BIP3.16%÷0.881×0.700—×0.9822.46%

Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — 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 ×1.016.

Result: wOBA .289 → .234; ISO .117 → .089; BABIP .286 → .256. 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).

2021 AAASacramento River Cats · 340 PAwOBA .391 → .333 (−58)K% 17.6% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷1.034×1.200——20.48%
BB% (unintentional) /PA7.94%÷0.956×0.690—×0.9925.69%
HBP% /PA1.76%—×0.940—×0.9921.65%
Singles /BIP24.90%÷1.049×0.930×1.026×0.99222.45%
Doubles /BIP7.76%÷0.916×0.830×1.026×0.9927.15%
Triples /BIP2.04%÷0.900×0.920×1.026×0.9922.12%
Home runs /BIP4.90%÷0.995×0.700—×0.9923.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, 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 ×1.026.

Result: wOBA .391 → .333; ISO .213 → .174; BABIP .362 → .326. 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).

2019 AAATacoma Rainiers · 211 PAwOBA .365 → .282 (−83)K% 20.9% → 27.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.85%÷0.990×1.290——27.17%
BB% (unintentional) /PA10.90%÷1.039×0.710—×1.0187.58%
HBP% /PA0.95%—×0.980—×1.0180.95%
Singles /BIP19.86%÷0.985×0.900×0.950×1.01817.54%
Doubles /BIP10.64%÷0.998×0.810×0.950×1.0188.35%
Triples /BIP0.00%÷1.073×0.810×0.950×1.0180.00%
Home runs /BIP5.67%÷1.049×0.780—×1.0184.29%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .365 → .282; ISO .211 → .156; BABIP .321 → .268. 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).

2019 A+Modesto Nuts · 29 PAwOBA .302 → .222 (−80)K% 31.0% → 42.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.03%÷0.976×1.340——42.61%
BB% (unintentional) /PA3.45%÷1.052×0.710—×0.9682.25%
HBP% /PA6.90%—×0.790—×0.9685.27%
Singles /BIP25.00%÷1.005×0.910—×0.96821.91%
Doubles /BIP6.25%÷1.050×0.820—×0.9684.73%
Triples /BIP6.25%÷1.022×0.760—×0.9684.50%
Home runs /BIP0.00%÷0.768×0.920—×0.9680.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 54, 1B 101, 2B 110, 3B 104, K 95, BB 110 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .302 → .222; ISO .120 → .079; BABIP .375 → .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).

2018 AAArkansas Travelers · 394 PAwOBA .339 → .298 (−41)K% 17.3% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.26%÷1.022×1.220——20.60%
BB% (unintentional) /PA9.39%÷1.097×0.700—×0.9985.98%
HBP% /PA1.52%—×0.870—×0.9981.32%
Singles /BIP25.27%÷1.015×0.920×1.022×0.99823.36%
Doubles /BIP7.22%÷0.920×0.840×1.022×0.9986.73%
Triples /BIP0.00%÷0.925×0.940×1.022×0.9980.00%
Home runs /BIP2.89%÷0.925×0.800—×0.9982.49%

Factors used: league row TL. Park (home-season share, regressed): HR 85, 1B 103, 2B 84, 3B 85, K 104, BB 119 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .339 → .298; ISO .128 → .117; BABIP .331 → .305. 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+Modesto Nuts · 412 PAwOBA .345 → .285 (−60)K% 15.8% → 21.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.78%÷0.972×1.340——21.74%
BB% (unintentional) /PA10.92%÷0.995×0.710—×0.9887.70%
HBP% /PA1.70%—×0.790—×0.9881.33%
Singles /BIP25.86%÷1.008×0.910×1.036×0.98823.90%
Doubles /BIP8.62%÷1.082×0.820×1.036×0.9886.69%
Triples /BIP1.03%÷1.041×0.760×1.036×0.9880.77%
Home runs /BIP0.69%÷0.866×0.920—×0.9880.72%

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 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 ×1.036.

Result: wOBA .345 → .285; ISO .104 → .084; BABIP .356 → .315. 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 AAArkansas Travelers · 145 PAwOBA .377 → .347 (−30)K% 10.3% → 13.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.34%÷0.973×1.220——12.97%
BB% (unintentional) /PA9.66%÷1.005×0.700—×1.0126.81%
HBP% /PA2.07%—×0.870—×1.0121.82%
Singles /BIP28.18%÷0.974×0.920×1.027×1.01227.68%
Doubles /BIP8.18%÷0.993×0.840×1.027×1.0127.19%
Triples /BIP0.91%÷1.150×0.940×1.027×1.0120.77%
Home runs /BIP0.91%÷1.024×0.800—×1.0120.72%

Factors used: league row TL. Park (home-season share, regressed): HR 105, 1B 95, 2B 99, 3B 130, K 95, BB 101 — 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 ×1.027.

Result: wOBA .377 → .347; ISO .112 → .099; BABIP .373 → .356. 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 AClinton LumberKings · 284 PAwOBA .308 → .265 (−43)K% 16.9% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.90%÷1.003×1.360——22.92%
BB% (unintentional) /PA8.80%÷1.019×0.690—×0.9905.90%
HBP% /PA1.41%—×0.780—×0.9901.09%
Singles /BIP32.50%÷1.055×0.920×1.050×0.99029.47%
Doubles /BIP2.50%÷0.832×0.830×1.050×0.9902.59%
Triples /BIP0.50%÷0.900×0.910×1.050×0.9900.53%
Home runs /BIP0.50%÷0.976×0.800—×0.9900.41%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 111, 2B 66, 3B 80, K 101, BB 104 — 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 .308 → .265; ISO .040 → .039; BABIP .355 → .326. 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 — .