Charlotte
2006 Team Stats (75 games)
97.1
PPG
101.1
Opp
-4.0
Margin
43.4%
FG%
33.9%
3P%
73.2%
FT%
39.7
RPG
21.0
APG
13.5
TO
96.7
Est. poss./game
95.2
Adj PPG
99.0
Adj Opp PPG
#27
Scoring Rank
Model Outputs
2005-2006
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 → | 1024 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 859 (#27) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 969 (#19) | HCA +96 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.9 (#27) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.6 (#24) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.386 (#27) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.379 (#27) | NetEff -4.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.384 (#27) | AdjNet -4.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.384 (#27) | AdjNet -4.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.413 (#27) | AdjO 95.2 | AdjD 99.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.451 (#24) | AdjO 97.1 | AdjD 99.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.438 (#21) | 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 → | 0.446 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 936 (#23) | RD 255 | GP 82 |
2006 Schedule & Results
2006 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gerald Wallace | G | 49 | 34.1 | 14.9 | 7.2 | 1.8 | 2.5 | 2.0 | 1.8 | 10.6 | 16.0 | - | - | - | - | 53.5 | 26.8 | 59.9 | - | 57.0 | 54.5 |
| Emeka Okafor | G | 24 | 33.5 | 13.0 | 9.8 | 1.2 | 0.8 | 2.0 | 1.9 | 12.0 | 13.0 | - | - | - | - | 41.0 | 0 | 65.3 | - | 46.0 | 41.0 |
| Brevin Knight | G | 62 | 34.6 | 12.8 | 3.2 | 8.8 | 2.3 | 0.1 | 2.5 | 11.3 | 13.5 | - | - | - | - | 40.3 | 20.0 | 80.5 | - | 48.1 | 40.5 |
| Primoz Brezec | G | 72 | 27.4 | 12.6 | 5.7 | 0.6 | 0.2 | 0.4 | 1.1 | 10.1 | 8.4 | - | - | - | - | 52.8 | 0.0 | 73.8 | - | 56.0 | 52.8 |
Raymond Felton
|
G | 73 | 29.8 | 12.0 | 3.2 | 5.6 | 1.3 | 0.1 | 2.3 | 11.2 | 8.8 | - | - | - | - | 38.9 | 35.7 | 73.7 | - | 48.3 | 44.4 |
| Jumaine Jones | G | 70 | 27.7 | 10.6 | 5.0 | 0.9 | 0.9 | 0.3 | 1.0 | 9.8 | 6.8 | - | - | - | - | 40.1 | 33.7 | 73.1 | - | 50.2 | 47.7 |
| Kareem Rush | G | 43 | 23.6 | 10.0 | 2.2 | 1.1 | 0.9 | 0.3 | 1.4 | 9.8 | 3.3 | - | - | - | - | 38.5 | 34.9 | 72.6 | - | 47.4 | 44.7 |
| Melvin Ely | G | 53 | 23.6 | 9.9 | 4.9 | 1.3 | 0.5 | 0.8 | 1.7 | 7.5 | 8.2 | - | - | - | - | 50.9 | 0.0 | 67.6 | - | 55.2 | 50.9 |
| Keith Bogans | G | 34 | 21.7 | 8.5 | 2.8 | 1.1 | 0.9 | 0.1 | 0.9 | 7.0 | 5.4 | - | - | - | - | 40.2 | 35.8 | 79.1 | - | 52.2 | 46.2 |
| Sean May | G | 23 | 17.3 | 8.2 | 4.7 | 1.0 | 0.7 | 0.5 | 1.4 | 7.4 | 6.3 | - | - | - | - | 40.9 | 0.0 | 76.6 | - | 47.4 | 40.9 |
| Matt Carroll | G | 71 | 16.6 | 7.8 | 2.0 | 0.5 | 0.7 | 0.1 | 0.6 | 6.1 | 4.3 | - | - | - | - | 40.8 | 39.3 | 82.5 | - | 54.9 | 48.6 |
| Bernard Robinson | G | 59 | 20.2 | 6.7 | 3.5 | 1.2 | 1.3 | 0.2 | 1.1 | 5.8 | 5.8 | - | - | - | - | 43.6 | 9.5 | 79.3 | - | 49.9 | 43.9 |
| Alan Anderson | G | 32 | 15.8 | 5.9 | 2.0 | 0.9 | 0.3 | 0.1 | 0.9 | 5.2 | 3.2 | - | - | - | - | 41.2 | 41.7 | 80.5 | - | 51.6 | 47.3 |
| Jake Voskuhl | G | 48 | 16.1 | 5.4 | 3.6 | 0.8 | 0.5 | 0.5 | 0.7 | 5.1 | 4.9 | - | - | - | - | 44.3 | 33.3 | 70.4 | - | 47.6 | 44.5 |
| Kevin Burleson | G | 34 | 9.0 | 1.9 | 0.8 | 1.3 | 0.7 | 0.1 | 0.7 | 2.4 | 1.6 | - | - | - | - | 23.8 | 18.8 | 94.1 | - | 36.0 | 29.4 |
| Lonny Baxter | G | 17 | 6.3 | 1.6 | 1.7 | 0.1 | 0.1 | 0.1 | 0.4 | 1.5 | 1.6 | - | - | - | - | 34.6 | 0 | 71.4 | - | 43.5 | 34.6 |
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