Los Angeles Lakers
2005 Team Stats (80 games)
99.0
PPG
101.8
Opp
-2.8
Margin
43.8%
FG%
35.8%
3P%
77.7%
FT%
43.2
RPG
20.5
APG
13.8
TO
93.6
Est. poss./game
97.4
Adj PPG
99.7
Adj Opp PPG
#22
Scoring Rank
Model Outputs
2004-2005
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 773 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 951 (#20) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 914 (#26) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.3 (#22) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.4 (#23) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.416 (#24) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.416 (#24) | NetEff -3.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.436 (#21) | AdjNet -2.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.436 (#21) | AdjNet -2.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.447 (#22) | AdjO 97.4 | AdjD 99.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.412 (#23) | AdjO 98.0 | AdjD 102.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.366 (#25) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.359 (#26) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 907 (#24) | RD 263 | GP 82 |
2005 Schedule & Results
2005 Roster
Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kobe Bryant | G | 64 | 40.8 | 27.6 | 6.0 | 6.1 | 1.3 | 0.8 | 4.1 | 20.1 | 17.6 | - | - | - | - | 43.6 | 33.9 | 81.3 | - | 56.4 | 48.5 |
Caron Butler
|
G | 76 | 35.7 | 15.6 | 5.9 | 1.9 | 1.4 | 0.3 | 1.6 | 12.9 | 10.6 | - | - | - | - | 44.7 | 31.1 | 86.1 | - | 53.0 | 46.6 |
| Lamar Odom | G | 62 | 36.5 | 15.4 | 10.2 | 3.7 | 0.7 | 1.0 | 2.5 | 12.2 | 16.2 | - | - | - | - | 47.3 | 30.4 | 69.3 | - | 53.8 | 49.6 |
| Chucky Atkins | G | 80 | 35.6 | 13.8 | 2.4 | 4.4 | 0.9 | 0.0 | 1.8 | 11.2 | 8.5 | - | - | - | - | 42.8 | 38.9 | 81.3 | - | 56.1 | 52.6 |
| Chris Mihm | G | 73 | 25.1 | 9.8 | 6.8 | 0.7 | 0.2 | 1.5 | 1.5 | 7.4 | 10.1 | - | - | - | - | 50.7 | 0.0 | 67.9 | - | 55.2 | 50.7 |
| Jumaine Jones | G | 75 | 23.9 | 7.6 | 5.2 | 0.8 | 0.5 | 0.3 | 0.6 | 6.3 | 7.5 | - | - | - | - | 43.5 | 39.5 | 73.2 | - | 56.0 | 54.2 |
| Devean George | G | 15 | 20.4 | 7.3 | 3.5 | 0.9 | 0.5 | 0.1 | 0.8 | 6.9 | 4.7 | - | - | - | - | 35.6 | 36.2 | 75.0 | - | 48.8 | 45.7 |
| Brian Cook | G | 70 | 15.1 | 6.4 | 3.1 | 0.5 | 0.3 | 0.4 | 0.4 | 5.9 | 4.3 | - | - | - | - | 41.5 | 39.3 | 75.7 | - | 52.2 | 50.8 |
| Tierre Brown | G | 74 | 14.0 | 4.4 | 1.2 | 2.1 | 0.4 | 0.0 | 1.0 | 4.6 | 2.5 | - | - | - | - | 35.3 | 36.2 | 78.7 | - | 43.5 | 39.0 |
| Slava Medvedenko | G | 42 | 9.8 | 3.8 | 1.9 | 0.3 | 0.2 | 0.0 | 0.3 | 3.6 | 2.3 | - | - | - | - | 44.7 | 0.0 | 82.1 | - | 48.4 | 44.7 |
| Brian Grant | G | 67 | 16.3 | 3.7 | 3.6 | 0.5 | 0.3 | 0.3 | 0.6 | 2.9 | 4.9 | - | - | - | - | 48.5 | 0 | 72.4 | - | 53.4 | 48.5 |
| Luke Walton | G | 59 | 12.4 | 3.3 | 2.3 | 1.5 | 0.4 | 0.2 | 0.9 | 2.9 | 3.9 | - | - | - | - | 42.4 | 27.1 | 69.6 | - | 50.5 | 47.1 |
Sasha Vujacic
|
G | 34 | 11.5 | 2.9 | 1.7 | 1.4 | 0.4 | 0.1 | 0.4 | 3.3 | 2.8 | - | - | - | - | 28.6 | 26.7 | 94.7 | - | 40.7 | 35.7 |
| Tony Bobbitt | - | 2 | 6.0 | 2.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 2.5 | 1.5 | - | - | - | - | 40.0 | 50.0 | 0 | - | 50.0 | 50.0 |
| Vlade Divac | G | 15 | 8.7 | 2.3 | 2.1 | 1.3 | 0.3 | 0.1 | 0.9 | 2.1 | 3.0 | - | - | - | - | 41.9 | 0 | 66.7 | - | 46.9 | 41.9 |
| Kareem Rush | G | 13 | 5.8 | 0.8 | 0.5 | 0.1 | 0.2 | 0.1 | 0.2 | 1.2 | 0.2 | - | - | - | - | 18.8 | 25.0 | 100.0 | - | 29.6 | 25.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG