Orlando Magic
2006 Team Stats (76 games)
95.0
PPG
96.2
Opp
-1.2
Margin
47.3%
FG%
37.4%
3P%
72.9%
FT%
40.0
RPG
18.1
APG
14.4
TO
90.8
Est. poss./game
92.8
Adj PPG
94.0
Adj Opp PPG
#18
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 → | 1098 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 948 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1021 (#13) | HCA +96 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.2 (#18) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.9 (#10) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.468 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.462 (#17) | NetEff -1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.462 (#18) | AdjNet -1.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.462 (#17) | AdjNet -1.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.472 (#18) | AdjO 92.8 | AdjD 94.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.535 (#10) | AdjO 95.7 | AdjD 94.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.527 (#14) | 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 → | 0.540 (#14) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1000 (#16) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Steve Francis | G | 42 | 37.8 | 16.9 | 4.8 | 5.7 | 1.1 | 0.2 | 3.4 | 12.9 | 12.5 | - | - | - | - | 43.2 | 27.3 | 80.1 | - | 53.4 | 44.8 |
Dwight Howard
|
G | 76 | 36.8 | 15.8 | 12.3 | 1.5 | 0.8 | 1.4 | 2.6 | 10.7 | 18.5 | - | - | - | - | 53.5 | 0.0 | 59.0 | - | 56.7 | 53.5 |
| Grant Hill | G | 21 | 29.2 | 15.1 | 3.8 | 2.3 | 1.1 | 0.3 | 1.7 | 11.6 | 9.4 | - | - | - | - | 49.0 | 25.0 | 76.5 | - | 55.2 | 49.4 |
| Jameer Nelson | G | 58 | 28.5 | 14.8 | 2.9 | 4.7 | 1.1 | 0.2 | 2.4 | 11.6 | 9.8 | - | - | - | - | 49.5 | 43.0 | 78.0 | - | 57.9 | 54.5 |
| Hedo Turkoglu | G | 72 | 33.0 | 14.5 | 3.9 | 2.8 | 0.9 | 0.2 | 1.7 | 10.9 | 9.8 | - | - | - | - | 45.5 | 40.4 | 85.9 | - | 57.9 | 52.0 |
| DeShawn Stevenson | G | 76 | 31.8 | 10.8 | 2.9 | 1.9 | 0.7 | 0.2 | 1.5 | 9.3 | 5.7 | - | - | - | - | 46.4 | 14.3 | 75.0 | - | 51.1 | 46.5 |
Carlos Arroyo
|
G | 26 | 22.1 | 10.8 | 2.3 | 3.0 | 0.7 | 0.0 | 1.4 | 8.2 | 7.3 | - | - | - | - | 50.5 | 35.7 | 80.8 | - | 57.2 | 51.7 |
| Keyon Dooling | G | 47 | 22.7 | 9.2 | 1.6 | 2.2 | 1.0 | 0.1 | 1.7 | 8.0 | 4.4 | - | - | - | - | 43.6 | 30.2 | 83.0 | - | 51.0 | 45.3 |
| Tony Battie | G | 76 | 27.1 | 7.9 | 5.6 | 0.6 | 0.6 | 0.8 | 1.1 | 6.8 | 7.6 | - | - | - | - | 49.9 | 0.0 | 68.5 | - | 52.6 | 49.9 |
| Darko Milicic | G | 29 | 20.9 | 7.6 | 4.1 | 1.0 | 0.3 | 2.1 | 1.1 | 6.6 | 7.3 | - | - | - | - | 50.5 | 0 | 59.5 | - | 52.0 | 50.5 |
| Pat Garrity | G | 52 | 16.3 | 4.8 | 1.9 | 0.7 | 0.2 | 0.2 | 0.6 | 4.2 | 2.9 | - | - | - | - | 41.5 | 37.1 | 81.8 | - | 54.0 | 51.4 |
Trevor Ariza
|
G | 21 | 13.8 | 4.7 | 3.9 | 0.7 | 0.7 | 0.1 | 0.8 | 3.8 | 5.5 | - | - | - | - | 40.0 | 0.0 | 70.0 | - | 48.5 | 40.0 |
| Kelvin Cato | G | 21 | 12.3 | 4.0 | 2.6 | 0.1 | 0.3 | 0.4 | 0.7 | 3.1 | 3.6 | - | - | - | - | 46.2 | 0 | 72.7 | - | 52.8 | 46.2 |
| Travis Diener | G | 19 | 10.2 | 3.1 | 0.8 | 0.8 | 0.4 | 0.0 | 0.4 | 2.7 | 1.9 | - | - | - | - | 38.5 | 41.5 | 100.0 | - | 55.8 | 54.8 |
| Mario Kasun | G | 26 | 7.7 | 2.9 | 2.2 | 0.1 | 0.1 | 0.1 | 0.6 | 2.5 | 2.4 | - | - | - | - | 45.3 | 0 | 78.3 | - | 51.3 | 45.3 |
| Bo Outlaw | G | 30 | 11.2 | 2.2 | 2.5 | 0.5 | 0.3 | 0.4 | 0.5 | 1.8 | 3.6 | - | - | - | - | 57.4 | 0 | 62.5 | - | 58.2 | 57.4 |
| Stacey Augmon | G | 32 | 10.7 | 1.8 | 1.5 | 0.6 | 0.3 | 0.2 | 0.3 | 2.0 | 2.2 | - | - | - | - | 33.3 | 0 | 66.7 | - | 39.4 | 33.3 |
| Terence Morris | G | 21 | 8.7 | 1.6 | 1.7 | 0.2 | 0.3 | 0.2 | 0.3 | 2.3 | 1.4 | - | - | - | - | 31.2 | 0.0 | 100.0 | - | 33.5 | 31.2 |
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