Nyjer Morgan

PosCF
B/TL/L
Born1980-07-02
Age (2027)47
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201232MLBMIL322.239/.302/.30831273-0.3
201434AAACLE64.200/.238/.3171110—.164/.190/.262
201434MLBCleveland Ind…52.341/.438/.439131340.1
201636AAA/INTL2 orgs504.308/.399/.473112388—.238/.309/.350
201737No MLB games played
201838No MLB games played
201939No MLB games played
202040No MLB games played
202141No MLB games played
202242No MLB games played
202343No MLB games played
202444No MLB games played
202545No MLB games played
202646No 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)
200525 A+Lynchburg Hillcats — 277252 721230 11407 2410 286333357690 71333 144 306 62 — — — — — —
200626 AAAltoona Curve — 244219 67651 15283 2111 306359393751 87347 116 329 93 — — — — — —
200626 A+Lynchburg Hillcats — 274228 69730 204015 3811 303395360755 57359 157 337 84 — — — — — —
200727 MLBPittsburgh Pirates — 118107 32341 9191 73 299359430789 131356 168 349 122 +3 +0 +8 +1 +3 1.5
200727 AAAIndianapolis Indians — 184164 50420 15283 267 305374354727 49368 158 331 89 — — — — — —
200727 ROKGCL Pirates — 1613 4001 231 00 308438538976 231333 1912 433 86 — — — — — —
200828 MLBPittsburgh Pirates — 175160 471300 10323 95 294347375722 81364 186 324 105 +1 -0 +3 -6 +4 0.3
200828 AAAIndianapolis Indians — 352322 961341 18477 448 298349373721 75347 135 323 81 — — — — — —
200929 MLBWashington Nationals — 533469 1441573 40749 4217 307373388761 81355 148 336 112 +7 +2 +26 -6 +12 4.2
201030 MLBWashington Nationals — 577509 1291770 408810 3417 253320314635 61304 157 283 79 -14 +0 +2 +2 +13 0.3
201131 MLBMilwaukee Brewers — 429378 1152064 197014 134 304360421781 116362 164 336 117 +9 +1 +10 +2 +9 3.1
201232 MLBMilwaukee Brewers — 322289 69533 20636 125 239302308610 69296 206 274 73 -10 +0 -1 +1 +7 -0.3
201434 MLBCleveland Indians — 5241 14101 760 30 341438439877 98371 1213 367 134 +2 +1 -3 +0 +1 0.1
201434 AAAColumbus Clippers — 6460 12401 3160 10 200238317555 117250 255 244 10 — — — — — —
201636 AAAPericos de Puebla — 440369 11325211 525410 229 306406474880 168331 1212 386 82 — — — — — —
201636 INTLLeones del Caracas — 6460 19520 0113 11 317349467816 150388 170 355 126 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 22061953 550742712 14535243 12051 282345366710 84336 167 314 98 -4 +4 +46 -5 +48 9.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200525 A+ MLELynchburg Hillcats — 277256 651020 7577 2410 254293309601 55306 213 260 62 — — — — — —
200626 AA MLEAltoona Curve — 244224 67551 10343 2111 299338379717 80340 144 306 93 — — — — — —
200626 A+ MLELynchburg Hillcats — 274236 65620 125715 3811 275350318668 42334 214 293 84 — — — — — —
200727 MLB MLEPittsburgh Pirates — 118107 32341 9191 73 299359430789 131356 168 349 122 +3 +0 +8 +1 +3 1.5
200727 AAA MLEIndianapolis Indians — 184169 50420 10343 267 296346343689 47358 185 300 89 — — — — — —
200727 ROK MLEGCL Pirates — 1614 3001 141 00 214312429741 214250 256 296 86 — — — — — —
200828 MLB MLEPittsburgh Pirates — 175160 471300 10323 95 294347375722 81364 186 324 105 +1 -0 +3 -6 +4 0.3
200828 AAA MLEIndianapolis Indians — 352328 911141 12567 448 277317345662 67327 163 288 81 — — — — — —
200929 MLB MLEWashington Nationals — 533471 1441573 38749 4217 306369386755 81355 147 333 112 +7 +2 +26 -6 +12 4.2
201030 MLB MLEWashington Nationals — 577510 1301780 398810 3417 255320320640 65304 157 286 79 -14 +0 +2 +2 +13 0.3
201131 MLB MLEMilwaukee Brewers — 429378 1162164 197014 134 307363426788 119362 164 341 117 +9 +1 +10 +2 +9 3.1
201232 MLB MLEMilwaukee Brewers — 322289 69533 20636 125 239302308610 69296 206 276 73 -10 +0 -1 +1 +7 -0.3
201434 MLB MLECleveland Indians — 5241 14101 760 30 341438439877 98371 1213 367 134 +2 +1 -3 +0 +1 0.1
201434 AAA MLEColumbus Clippers — 6461 10301 2190 10 164190262453 98200 303 183 10 — — — — — —
201636 AAA MLEPericos de Puebla — 440391 931927 307010 229 238309350659 113262 167 289 82 — — — — — —
200525 A+ MLELynchburg Hillcats — 277256 651020 7577 2410 254293309601 55320 213 260 62 — — — — — —
200525 A+ RAWLynchburg Hillcats — 277252 721230 11407 2410 286333357690 71333 144 306 62 — — — — — —
200626 A+ MLE2 teams — 518460 1321171 229118 5922 287344348692 61352 184 299 89 — — — — — —
200626 A+ RAW2 teams — 518447 1361381 356818 5922 304378376754 72353 137 333 89 — — — — — —
200727 AAA MLE3 teams — 318290 85762 20575 3310 293349379729 86359 186 318 101 — — — — — —
200727 AAA RAW3 teams — 318284 86762 26505 3310 303371391762 88362 168 342 101 — — — — — —
200828 AAA MLE2 teams — 527488 1382441 228810 5313 283327355681 72343 174 300 89 — — — — — —
200828 AAA RAW2 teams — 527482 1432641 287910 5313 297348373722 77352 155 323 89 — — — — — —
200929 MLB MLEWashington Nationals — 533471 1441573 38749 4217 306369386755 81353 147 333 112 +7 +2 +26 -6 +12 4.2
200929 MLB RAWWashington Nationals — 533469 1441573 40749 4217 307373388761 81355 148 336 112 +7 +2 +26 -6 +12 4.2
201030 MLB MLEWashington Nationals — 577510 1301780 398810 3417 255320320640 65306 157 286 79 -14 +0 +2 +2 +13 0.3
201030 MLB RAWWashington Nationals — 577509 1291770 408810 3417 253320314635 61304 157 283 79 -14 +0 +2 +2 +13 0.3
201131 MLB MLEMilwaukee Brewers — 429378 1162164 197014 134 307363426788 119365 164 341 117 +9 +1 +10 +2 +9 3.1
201131 MLB RAWMilwaukee Brewers — 429378 1152064 197014 134 304360421781 116362 164 336 117 +9 +1 +10 +2 +9 3.1
201232 MLB MLEMilwaukee Brewers — 322289 69533 20636 125 239302308610 69296 206 276 73 -10 +0 -1 +1 +7 -0.3
201232 MLB RAWMilwaukee Brewers — 322289 69533 20636 125 239302308610 69296 206 274 73 -10 +0 -1 +1 +7 -0.3
201434 AAA MLE2 teams — 116102 24402 9250 40 235297333631 98286 228 265 66 — — — — — —
201434 AAA RAW2 teams — 116101 26502 10220 40 257324366691 109304 199 300 66 — — — — — —
201636 AAA MLE2 teams — 504446 1062228 358113 2310 238312350662 112271 167 289 82 — — — — — —
201636 AAA RAW2 teams — 504429 13230411 526513 2310 308399473872 166339 1310 382 82 — — — — — —
200525 A+ MLELynchburg Hillcats — 277261 651020 7577 2410 249293303595 54306 213 260 62 — — — — — —
200626 A+ MLE2 teams — 518473 1321171 229118 5922 279344338682 59337 184 299 89 — — — — — —
200727 AAA MLE3 teams — 318290 85762 20575 3310 293349379729 86352 186 318 101 — — — — — —
200828 AAA MLE2 teams — 527490 1382441 228810 5313 282327353680 71339 174 300 89 — — — — — —
200929 MLB MLEWashington Nationals — 533481 1441573 38749 4217 299369378747 79355 147 333 112 — — — — — —
201030 MLB MLEWashington Nationals — 577523 1301780 398810 3417 249320312632 63304 157 286 79 — — — — — —
201131 MLB MLEMilwaukee Brewers — 429393 1162164 197014 134 295363410772 115362 164 341 117 — — — — — —
201232 MLB MLEMilwaukee Brewers — 322293 69533 20636 125 235302304605 68296 206 276 73 — — — — — —
201434 AAA MLE2 teams — 116106 24402 9250 40 226297321618 94277 228 265 66 — — — — — —
201636 AAA MLE2 teams — 504451 1062228 358113 2310 235312346658 111262 167 289 82 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 22061953 550742712 14535243 12051 282345366710 84336 167 314 90 -4 +4 +46 -5 +48 9.0
/ 162G— A+C — 650575 1632284 4310413 3515 283347370718 87338 167 314 90 -1 +1 +13 -1 +14 2.6
Career— MLE — 41213690 10091364524 23169492 297108 273332354686 81329 176 301 90 -4 +4 +46 -5 +48 9.0
/ 162G— MLE — 650582 1592174 3610915 4717 273332354686 81328 176 301 90 -1 +1 +13 -1 +14 2.6

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 AAAPericos de Puebla · 440 PAwOBA .379 → .289 (−90)K% 12.3% → 16.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.27%÷0.921×1.200——15.99%
BB% (unintentional) /PA11.59%÷1.091×0.690—×0.9406.89%
HBP% /PA2.27%—×0.940—×0.9402.01%
Singles /BIP23.81%÷1.048×0.930×0.990×0.94019.66%
Doubles /BIP7.94%÷1.075×0.830×0.990×0.9405.70%
Triples /BIP0.63%÷1.008×0.920×0.990×0.9400.54%
Home runs /BIP3.49%÷1.024×0.700—×0.9402.24%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 110, 2B 115, 3B 102, K 84, BB 118 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .379 → .289; ISO .168 → .121; BABIP .331 → .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).

2014 AAAColumbus Clippers · 64 PAwOBA .241 → .183 (−59)K% 25.0% → 29.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.016×1.200——29.51%
BB% (unintentional) /PA4.69%÷1.015×0.690—×0.9402.99%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP15.91%÷1.034×0.930×0.992×0.94013.35%
Doubles /BIP9.09%÷1.047×0.830×0.992×0.9406.73%
Triples /BIP0.00%÷1.007×0.970×0.992×0.9400.00%
Home runs /BIP2.27%÷1.028×0.840—×0.9401.75%

Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .241 → .183; ISO .117 → .086; BABIP .250 → .200. 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).

2008 AAAIndianapolis Indians · 352 PAwOBA .313 → .288 (−25)K% 13.4% → 16.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.35%÷1.000×1.200——16.02%
BB% (unintentional) /PA4.83%÷1.000×0.690—×0.9923.31%
HBP% /PA1.99%—×0.940—×0.9921.85%
Singles /BIP28.36%÷1.000×0.930×1.037×0.99227.15%
Doubles /BIP4.73%÷1.000×0.830×1.037×0.9924.04%
Triples /BIP1.45%÷1.000×0.970×1.037×0.9921.45%
Home runs /BIP0.36%÷1.000×0.840—×0.9920.30%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.037.

Result: wOBA .313 → .288; ISO .075 → .068; BABIP .347 → .327. 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).

2007 AAAIndianapolis Indians · 184 PAwOBA .321 → .300 (−21)K% 15.2% → 18.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.22%÷1.000×1.200——18.26%
BB% (unintentional) /PA7.61%÷1.000×0.690—×1.0035.27%
HBP% /PA1.63%—×0.940—×1.0031.54%
Singles /BIP32.35%÷1.000×0.930×1.050×1.00331.69%
Doubles /BIP2.94%÷1.000×0.830×1.050×1.0032.57%
Triples /BIP1.47%÷1.000×0.970×1.050×1.0031.50%
Home runs /BIP0.00%÷1.000×0.840—×1.0030.00%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .321 → .300; ISO .049 → .047; BABIP .368 → .358. 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).

2007 ROKGCL Pirates · 16 PAwOBA .422 → .296 (−125)K% 18.8% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.75%÷1.000×1.440——27.00%
BB% (unintentional) /PA12.50%÷1.000×0.620—×0.9407.29%
HBP% /PA6.25%—×0.720—×0.9404.23%
Singles /BIP30.00%÷1.000×0.820—×0.94023.12%
Doubles /BIP0.00%÷1.000×0.720—×0.9400.00%
Triples /BIP0.00%÷1.000×0.720—×0.9400.00%
Home runs /BIP10.00%÷1.000×0.780—×0.9407.33%

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 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .422 → .296; ISO .231 → .166; BABIP .333 → .250. 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).

2006 A+Lynchburg Hillcats · 274 PAwOBA .332 → .293 (−39)K% 14.6% → 20.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.60%÷1.000×1.420——20.73%
BB% (unintentional) /PA6.93%÷1.000×0.630—×0.9684.23%
HBP% /PA5.47%—×0.860—×0.9684.56%
Singles /BIP31.38%÷1.000×0.940×1.039×0.96829.68%
Doubles /BIP3.72%÷1.000×0.830×1.039×0.9683.11%
Triples /BIP1.60%÷1.000×0.800×1.039×0.9681.28%
Home runs /BIP0.00%÷1.000×0.900—×0.9680.00%

Factors used: league row CAR. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .332 → .293; ISO .057 → .048; BABIP .359 → .334. 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).

2006 AAAltoona Curve · 244 PAwOBA .321 → .306 (−15)K% 11.5% → 14.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.48%÷1.000×1.220——14.00%
BB% (unintentional) /PA6.15%÷1.000×0.700—×0.9884.25%
HBP% /PA1.23%—×0.850—×0.9881.03%
Singles /BIP28.80%÷1.000×0.970×1.034×0.98828.53%
Doubles /BIP3.14%÷1.000×0.860×1.034×0.9882.76%
Triples /BIP2.62%÷1.000×0.950×1.034×0.9882.54%
Home runs /BIP0.52%÷1.000×0.780—×0.9880.40%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.034.

Result: wOBA .321 → .306; ISO .087 → .081; BABIP .347 → .340. 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).

2005 A+Lynchburg Hillcats · 277 PAwOBA .302 → .260 (−42)K% 14.4% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.44%÷1.000×1.420——20.51%
BB% (unintentional) /PA3.97%÷1.000×0.630—×0.9782.45%
HBP% /PA2.53%—×0.860—×0.9782.13%
Singles /BIP26.89%÷1.000×0.940×1.024×0.97825.31%
Doubles /BIP5.66%÷1.000×0.830×1.024×0.9784.71%
Triples /BIP1.42%÷1.000×0.800×1.024×0.9781.13%
Home runs /BIP0.00%÷1.000×0.900—×0.9780.00%

Factors used: league row CAR. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.024.

Result: wOBA .302 → .260; ISO .071 → .057; BABIP .333 → .306. 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 — .