Los Angeles Lakers
2009 Team Stats (76 games)
106.8
PPG
98.6
Opp
+8.1
Margin
47.2%
FG%
35.6%
3P%
76.9%
FT%
44.0
RPG
23.3
APG
13.0
TO
96.9
Est. poss./game
104.4
Adj PPG
96.2
Adj Opp PPG
#2
Scoring Rank
Model Outputs
2008-2009
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 → | 1360 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1255 (#1) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1196 (#1) | HCA +105 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.3 (#2) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.6 (#1) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.704 (#2) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.704 (#2) | NetEff +7.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.718 (#2) | AdjNet +8.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.718 (#2) | AdjNet +8.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.678 (#2) | AdjO 104.4 | AdjD 96.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.722 (#1) | AdjO 103.1 | AdjD 92.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.776 (#1) | 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 → | 0.783 (#1) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1222 (#1) | RD 65 | GP 101 |
2009 Schedule & Results
2009 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 | 76 | 35.8 | 26.7 | 5.2 | 4.8 | 1.5 | 0.4 | 2.5 | 20.8 | 15.3 | - | - | - | - | 46.3 | 33.9 | 85.4 | - | 55.8 | 49.7 |
Pau Gasol
|
G | 75 | 37.0 | 18.9 | 9.7 | 3.6 | 0.7 | 1.0 | 1.9 | 12.8 | 19.3 | - | - | - | - | 56.9 | 50.0 | 78.2 | - | 62.0 | 56.9 |
| Andrew Bynum | G | 46 | 28.4 | 14.1 | 7.9 | 1.5 | 0.3 | 1.8 | 1.7 | 9.8 | 14.0 | - | - | - | - | 55.6 | 0 | 70.4 | - | 59.7 | 55.6 |
| Lamar Odom | G | 72 | 29.8 | 11.5 | 8.3 | 2.6 | 1.0 | 1.3 | 1.8 | 9.1 | 13.6 | - | - | - | - | 49.5 | 30.6 | 62.1 | - | 54.3 | 51.8 |
| Derek Fisher | G | 76 | 29.6 | 9.7 | 2.3 | 3.2 | 1.2 | 0.1 | 0.9 | 8.2 | 7.3 | - | - | - | - | 42.3 | 37.7 | 84.8 | - | 54.2 | 50.5 |
Trevor Ariza
|
G | 76 | 24.5 | 8.9 | 4.3 | 1.7 | 1.7 | 0.3 | 1.1 | 7.2 | 8.6 | - | - | - | - | 45.7 | 32.0 | 70.9 | - | 54.2 | 50.7 |
| Jordan Farmar | G | 61 | 18.1 | 6.5 | 1.8 | 2.3 | 0.9 | 0.1 | 1.2 | 6.4 | 4.1 | - | - | - | - | 39.7 | 35.0 | 58.1 | - | 47.4 | 45.9 |
| Vladimir Radmanovic | G | 42 | 16.6 | 6.2 | 2.5 | 0.8 | 0.7 | 0.2 | 1.1 | 4.6 | 4.7 | - | - | - | - | 46.4 | 46.8 | 84.6 | - | 63.7 | 61.7 |
Sasha Vujacic
|
G | 75 | 16.1 | 5.6 | 1.6 | 1.4 | 1.0 | 0.1 | 0.4 | 5.0 | 4.3 | - | - | - | - | 37.8 | 36.2 | 92.8 | - | 52.0 | 47.7 |
| Luke Walton | G | 61 | 18.1 | 5.0 | 2.8 | 2.8 | 0.5 | 0.2 | 1.0 | 4.7 | 5.4 | - | - | - | - | 43.1 | 28.3 | 71.9 | - | 48.5 | 45.7 |
| Josh Powell | G | 55 | 11.8 | 4.2 | 3.0 | 0.5 | 0.1 | 0.3 | 0.8 | 3.9 | 3.3 | - | - | - | - | 44.2 | 0 | 75.5 | - | 48.0 | 44.2 |
| Shannon Brown | G | 17 | 7.7 | 3.4 | 1.2 | 0.6 | 0.2 | 0.1 | 0.5 | 2.4 | 2.6 | - | - | - | - | 53.7 | 66.7 | 88.9 | - | 64.5 | 61.0 |
| DJ Mbenga | G | 20 | 8.3 | 2.9 | 1.2 | 0.5 | 0.5 | 1.1 | 0.5 | 2.7 | 2.9 | - | - | - | - | 46.3 | 0.0 | 87.5 | - | 49.5 | 46.3 |
| Chris Mihm | G | 18 | 5.8 | 2.0 | 1.9 | 0.6 | 0.1 | 0.3 | 0.6 | 2.2 | 2.1 | - | - | - | - | 37.5 | 0 | 85.7 | - | 41.8 | 37.5 |
| Adam Morrison | - | 8 | 5.5 | 1.2 | 1.0 | 0.4 | 0.0 | 0.0 | 0.4 | 1.5 | 0.8 | - | - | - | - | 33.3 | 25.0 | 50.0 | - | 38.8 | 37.5 |
| Yue Sun | F | 9 | 3.0 | 0.7 | 0.0 | 0.2 | 0.0 | 0.1 | 0.3 | 1.2 | -0.6 | - | - | - | - | 27.3 | 0.0 | 0 | - | 27.3 | 27.3 |
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