Nick Buss

PosLF
B/TL/R
Born1986-12-15
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201629AAALAA372.290/.349/.4626865—.229/.271/.352
201629MLBLAA90.198/.253/.3461263-0.9
201730AAASD390.348/.401/.541119100—.274/.318/.416
201831AAAWSH178.239/.312/.3402440—.189/.244/.274
201932No MLB games played
202033No MLB games played
202134No MLB games played
202235No MLB games played
202336No MLB games played
202437No MLB games played
202538No MLB games played
202639No MLB games played
Last 3 seasons WAR -0.9
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)
200821 ROKOgden Raptors — 165140 391144 17204 22 279373500873 221302 1210 375 67 — — — — — —
200922 AGreat Lakes Loons — 452416 10815510 21754 143 260302392693 132291 175 302 55 — — — — — —
201023 A+Inland Empire 66ers — 271247 601060 13331 63 243284332616 89276 125 266 36 — — — — — —
201023 AGreat Lakes Loons — 278242 69921 24305 205 285362351713 66318 119 320 66 — — — — — —
201124 A+Rancho Cucamonga Quakes — 530479 15730814 27636 2810 328371511883 184353 125 375 102 — — — — — —
201225 AAChattanooga Lookouts — 558492 13424108 38715 1913 272331411741 138302 137 317 74 — — — — — —
201326 MLBLos Angeles Dodgers — 2019 2000 110 00 105150105255 111 55 125 -27 -3 +0 +1 -7 +0 -0.9
201326 AAAAlbuquerque Isotopes — 518459 139291117 41907 212 303369525894 222339 178 383 84 — — — — — —
201326 INTLCardenales de Lara — 9993 28333 3112 13 301337495831 194316 113 361 130 — — — — — —
201427 AAASacramento River Cats — 610542 1622055 53876 146 299368382750 83344 149 336 78 — — — — — —
201427 INTLTomateros de Culiacan — 154138 41305 8182 92 297345428772 130303 125 332 111 — — — — — —
201528 AAAReno Aces — 320284 841434 24354 104 296359408767 113319 118 337 74 — — — — — —
201528 INTLTomateros de Culiacan — 11499 26201 14160 30 263354313667 51301 1412 309 95 — — — — — —
201629 MLBLos Angeles Angels — 9081 16711 6240 21 198253346599 148259 277 258 63 -4 +0 -2 -5 +2 -0.9
201629 AAASalt Lake Bees — 372331 962386 30660 85 290349462811 172342 188 347 65 — — — — — —
201730 AAAEl Paso Chihuahuas — 390353 12319811 27544 92 348401541942 193381 147 407 100 — — — — — —
201831 AAARochester Red Wings — 178159 38812 14363 41 239312340652 101293 208 295 40 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 110100 18711 7250 21 180234300534 120224 236 234 44 -7 +0 -1 -12 +2 -1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200821 ROK MLEOgden Raptors — 165147 30833 10294 22 204273361634 156227 186 267 67 — — — — — —
200922 A MLEGreat Lakes Loons — 452423 941248 141024 143 222254326580 104262 233 250 55 — — — — — —
201023 A+ MLEInland Empire 66ers — 271251 52840 9461 63 207238271508 64243 173 221 36 — — — — — —
201023 A MLEGreat Lakes Loons — 278250 62721 16395 205 248306304610 56274 146 266 66 — — — — — —
201124 A+ MLERancho Cucamonga Quakes — 530488 14126513 18866 2810 289322443765 154312 163 319 102 — — — — — —
201225 AA MLEChattanooga Lookouts — 558505 1282286 25885 1913 253295364660 111279 164 278 74 — — — — — —
201326 MLB MLELos Angeles Dodgers — 2019 2000 110 00 105150105255 111 55 128 -27 -3 +0 +1 -7 +0 -0.9
201326 AAA MLEAlbuquerque Isotopes — 518474 11221813 261247 212 236286397683 160277 245 292 84 — — — — — —
201427 AAA MLESacramento River Cats — 610557 1451744 381126 146 260314327641 66310 186 283 78 — — — — — —
201528 AAA MLEReno Aces — 320292 731023 16474 104 250298329627 79273 155 277 74 — — — — — —
201629 MLB MLELos Angeles Angels — 9081 16711 6240 21 198253346599 148259 277 262 63 -4 +0 -2 -5 +2 -0.9
201629 AAA MLESalt Lake Bees — 372341 781864 20880 85 229271352623 123278 245 265 65 — — — — — —
201730 AAA MLEEl Paso Chihuahuas — 390361 991568 19694 92 274318416733 141308 185 316 100 — — — — — —
201831 AAA MLERochester Red Wings — 178164 31612 9443 41 189244274519 85237 255 227 40 — — — — — —
200821 ROK MLEOgden Raptors — 165147 30833 10294 22 204273361634 156235 186 267 67 — — — — — —
200821 ROK RAWOgden Raptors — 165140 391144 17204 22 279373500873 221302 1210 375 67 — — — — — —
200922 A MLEGreat Lakes Loons — 452423 941248 141024 143 222254326580 104270 233 250 55 — — — — — —
200922 A RAWGreat Lakes Loons — 452416 10815510 21754 143 260302392693 132291 175 302 55 — — — — — —
201023 A MLE2 teams — 549501 1151661 25856 268 230274291566 62271 155 244 51 — — — — — —
201023 A RAW2 teams — 549489 1291981 37636 268 264323342665 78297 117 293 51 — — — — — —
201124 A+ MLERancho Cucamonga Quakes — 530488 14126513 18866 2810 289322443765 154327 163 319 102 — — — — — —
201124 A+ RAWRancho Cucamonga Quakes — 530479 15730814 27636 2810 328371511883 184353 125 375 102 — — — — — —
201225 AA MLEChattanooga Lookouts — 558505 1282286 25885 1913 253295364660 111294 164 278 74 — — — — — —
201225 AA RAWChattanooga Lookouts — 558492 13424108 38715 1913 272331411741 138302 137 317 74 — — — — — —
201326 AAA MLE3 teams — 637584 13425915 321489 225 229280380660 151277 235 286 80 — — — — — —
201326 AAA RAW3 teams — 637571 169321420 451029 225 296357506863 210326 167 371 80 — — — — — —
201427 AAA MLE2 teams — 764693 1812254 481418 238 261316325641 63317 186 283 78 — — — — — —
201427 AAA RAW2 teams — 764680 20323510 611058 238 299363391754 93336 148 335 78 — — — — — —
201528 AAA MLE2 teams — 434399 991434 22634 134 248294328622 80280 155 277 74 — — — — — —
201528 AAA RAW2 teams — 434383 1101635 38514 134 287358384741 97314 129 330 74 — — — — — —
201629 AAA MLE2 teams — 462422 942575 261120 106 223268351619 128286 246 264 65 — — — — — —
201629 AAA RAW2 teams — 462412 1123097 36900 106 272330439770 167327 198 330 65 — — — — — —
201730 AAA MLEEl Paso Chihuahuas — 390361 991568 19694 92 274318416733 141314 185 316 100 — — — — — —
201730 AAA RAWEl Paso Chihuahuas — 390353 12319811 27544 92 348401541942 193381 147 407 100 — — — — — —
201831 AAA MLERochester Red Wings — 178164 31612 9443 41 189244274519 85242 255 227 40 — — — — — —
201831 AAA RAWRochester Red Wings — 178159 38812 14363 41 239312340652 101293 208 295 40 — — — — — —
200821 ROK MLEOgden Raptors — 165150 30833 10294 22 200273353627 153227 186 267 67 — — — — — —
200922 A MLEGreat Lakes Loons — 452431 941248 141024 143 218254320574 102262 233 250 55 — — — — — —
201023 A MLE2 teams — 549513 1151661 25856 268 224274285559 60259 155 244 51 — — — — — —
201124 A+ MLERancho Cucamonga Quakes — 530501 14126513 18866 2810 281322431753 150312 163 319 102 — — — — — —
201225 AA MLEChattanooga Lookouts — 558523 1282286 25885 1913 245295352647 107279 164 278 74 — — — — — —
201326 AAA MLE3 teams — 637591 13425915 321489 225 227280376656 149271 235 286 80 — — — — — —
201427 AAA MLE2 teams — 764702 1812254 481418 238 258316321637 63310 186 283 78 — — — — — —
201528 AAA MLE2 teams — 434405 991434 22634 134 244294323618 79273 155 277 74 — — — — — —
201629 AAA MLE2 teams — 462433 942575 261120 106 217268342610 125274 246 264 65 — — — — — —
201730 AAA MLEEl Paso Chihuahuas — 390364 991568 19694 92 272318412730 140308 185 316 100 — — — — — —
201831 AAA MLERochester Red Wings — 178164 31612 9443 41 189244274519 85237 255 227 40 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 110100 18711 7250 21 180234300534 120224 236 234 74 -7 +0 -1 -12 +2 -1.8
/ 162G— A+C — 650591 1064166 411480 126 179233299532 120223 236 234 74 -43 +0 -7 -70 +14 -10.7
Career— MLE — 51194687 11461915769 24896753 17062 245290354644 109290 195 277 74 -7 +0 -1 -12 +2 -1.8
/ 162G— MLE — 650595 1452479 311237 228 244289353642 109289 195 277 74 -43 +0 -7 -70 +14 -10.7

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 AAARochester Red Wings · 178 PAwOBA .288 → .227 (−61)K% 20.2% → 24.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.22%÷0.978×1.200——24.82%
BB% (unintentional) /PA7.30%÷1.008×0.690—×0.9524.76%
HBP% /PA1.69%—×0.940—×0.9521.51%
Singles /BIP21.95%÷1.023×0.930×0.961×0.95218.26%
Doubles /BIP6.50%÷1.009×0.830×0.961×0.9524.90%
Triples /BIP0.81%÷1.150×0.970×0.961×0.9520.63%
Home runs /BIP1.63%÷0.879×0.840—×0.9521.48%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .288 → .227; ISO .101 → .082; BABIP .293 → .237. 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 AAAEl Paso Chihuahuas · 390 PAwOBA .401 → .316 (−85)K% 13.8% → 17.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.85%÷1.005×1.290——17.78%
BB% (unintentional) /PA6.41%÷0.921×0.710—×0.9624.75%
HBP% /PA1.03%—×0.980—×0.9620.97%
Singles /BIP28.43%÷1.040×0.900×0.997×0.96223.59%
Doubles /BIP6.35%÷0.983×0.810×0.997×0.9625.02%
Triples /BIP2.68%÷1.049×0.810×0.997×0.9621.98%
Home runs /BIP3.68%÷1.087×0.780—×0.9622.54%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×0.997.

Result: wOBA .401 → .316; ISO .193 → .140; BABIP .381 → .308. 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 AAASalt Lake Bees · 372 PAwOBA .341 → .265 (−76)K% 17.7% → 23.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.74%÷0.969×1.290——23.62%
BB% (unintentional) /PA7.80%÷1.021×0.710—×0.9725.27%
HBP% /PA0.00%—×0.980—×0.9720.00%
Singles /BIP22.26%÷1.033×0.900×1.004×0.97218.93%
Doubles /BIP8.68%÷1.020×0.810×1.004×0.9726.72%
Triples /BIP3.02%÷1.137×0.810×1.004×0.9722.10%
Home runs /BIP2.26%÷1.035×0.780—×0.9721.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .341 → .265; ISO .172 → .127; BABIP .342 → .278. 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 AAAReno Aces · 320 PAwOBA .333 → .277 (−56)K% 10.9% → 14.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.94%÷0.969×1.290——14.55%
BB% (unintentional) /PA7.19%÷0.997×0.710—×0.9825.03%
HBP% /PA1.25%—×0.980—×0.9821.20%
Singles /BIP25.30%÷0.964×0.900×0.980×0.98222.72%
Doubles /BIP5.62%÷1.083×0.810×0.980×0.9824.05%
Triples /BIP1.20%÷1.150×0.810×0.980×0.9820.82%
Home runs /BIP1.61%÷1.027×0.780—×0.9821.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — 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 ×0.980.

Result: wOBA .333 → .277; ISO .113 → .083; BABIP .319 → .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).

2014 AAASacramento River Cats · 610 PAwOBA .330 → .283 (−47)K% 14.3% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.26%÷0.998×1.290——18.44%
BB% (unintentional) /PA8.52%÷0.953×0.710—×0.9926.30%
HBP% /PA0.98%—×0.980—×0.9920.96%
Singles /BIP29.01%÷0.975×0.900×0.998×0.99226.51%
Doubles /BIP4.40%÷0.929×0.810×0.998×0.9923.79%
Triples /BIP1.10%÷1.072×0.810×0.998×0.9920.82%
Home runs /BIP1.10%÷1.092×0.780—×0.9920.78%

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 ×0.998.

Result: wOBA .330 → .283; ISO .083 → .065; BABIP .344 → .310. 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 AAAAlbuquerque Isotopes · 518 PAwOBA .378 → .292 (−85)K% 17.4% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.37%÷0.938×1.290——23.89%
BB% (unintentional) /PA7.72%÷1.071×0.710—×1.0035.13%
HBP% /PA1.35%—×0.980—×1.0031.33%
Singles /BIP22.22%÷1.029×0.900×0.993×1.00319.35%
Doubles /BIP7.86%÷1.082×0.810×0.993×1.0035.86%
Triples /BIP2.98%÷1.150×0.810×0.993×1.0032.09%
Home runs /BIP4.61%÷1.004×0.780—×1.0033.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 106, 2B 116, 3B 130, K 88, BB 114 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .378 → .292; ISO .222 → .164; BABIP .339 → .277. 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 AAChattanooga Lookouts · 558 PAwOBA .310 → .278 (−33)K% 12.7% → 15.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.72%÷0.980×1.220——15.84%
BB% (unintentional) /PA6.63%÷0.988×0.680—×0.9884.51%
HBP% /PA0.90%—×0.840—×0.9880.74%
Singles /BIP21.85%÷0.976×0.920×1.032×0.98820.99%
Doubles /BIP5.70%÷1.061×0.910×1.032×0.9884.98%
Triples /BIP2.38%÷1.150×0.880×1.032×0.9881.85%
Home runs /BIP1.90%÷1.118×0.800—×0.9881.34%

Factors used: league row SL. Park (home-season share, regressed): HR 124, 1B 95, 2B 112, 3B 130, K 96, BB 98 — 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 ×1.032.

Result: wOBA .310 → .278; ISO .138 → .114; BABIP .302 → .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).

2011 A+Rancho Cucamonga Quakes · 530 PAwOBA .366 → .319 (−46)K% 11.9% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.89%÷0.980×1.340——16.26%
BB% (unintentional) /PA4.72%÷0.953×0.710—×0.9783.44%
HBP% /PA1.13%—×0.790—×0.9780.87%
Singles /BIP25.24%÷0.992×0.910×1.020×0.97823.09%
Doubles /BIP7.21%÷0.958×0.820×1.020×0.9786.16%
Triples /BIP1.92%÷1.150×0.760×1.020×0.9781.27%
Home runs /BIP3.37%÷1.001×0.920—×0.9783.02%

Factors used: league row CAL. Park (home-season share, regressed): HR 100, 1B 98, 2B 92, 3B 130, K 96, BB 91 — 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 ×1.020.

Result: wOBA .366 → .319; ISO .184 → .156; BABIP .353 → .312. 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 — .