Orlando Magic
2009 Team Stats (77 games)
101.5
PPG
94.7
Opp
+6.8
Margin
45.9%
FG%
38.1%
3P%
71.5%
FT%
43.2
RPG
19.5
APG
13.6
TO
94.0
Est. poss./game
99.7
Adj PPG
93.0
Adj Opp PPG
#4
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 → | 1223 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1184 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1082 (#6) | HCA +105 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.7 (#4) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.0 (#6) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.654 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.654 (#4) | NetEff +5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.684 (#4) | AdjNet +6.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.685 (#4) | AdjNet +6.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.647 (#4) | AdjO 99.7 | AdjD 93.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.615 (#5) | AdjO 98.3 | AdjD 93.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.686 (#3) | 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 → | 0.680 (#3) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1143 (#3) | RD 62 | GP 102 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dwight Howard
|
G | 75 | 35.5 | 20.4 | 13.7 | 1.3 | 1.0 | 2.9 | 3.1 | 12.4 | 23.9 | - | - | - | - | 57.1 | 0.0 | 59.3 | - | 59.9 | 57.1 |
| Rashard Lewis | G | 75 | 36.2 | 17.7 | 5.8 | 2.6 | 1.0 | 0.7 | 2.0 | 13.7 | 12.1 | - | - | - | - | 44.1 | 39.4 | 83.6 | - | 58.1 | 54.1 |
| Jameer Nelson | G | 40 | 31.2 | 17.0 | 3.5 | 5.6 | 1.3 | 0.1 | 2.0 | 12.6 | 12.8 | - | - | - | - | 51.4 | 46.2 | 88.4 | - | 62.4 | 59.3 |
| Hedo Turkoglu | G | 73 | 36.5 | 16.7 | 5.3 | 4.8 | 0.8 | 0.3 | 2.7 | 13.3 | 11.8 | - | - | - | - | 41.0 | 35.2 | 80.8 | - | 53.8 | 47.4 |
| Rafer Alston | G | 27 | 29.7 | 12.2 | 2.8 | 5.2 | 1.7 | 0.1 | 1.9 | 10.5 | 9.6 | - | - | - | - | 41.9 | 30.9 | 70.5 | - | 51.1 | 47.2 |
| Mickael Pietrus | G | 51 | 24.9 | 9.7 | 3.3 | 1.2 | 0.6 | 0.5 | 1.1 | 8.0 | 6.1 | - | - | - | - | 41.8 | 36.2 | 72.6 | - | 54.4 | 51.2 |
| Courtney Lee | G | 72 | 25.0 | 8.4 | 2.3 | 1.2 | 1.0 | 0.2 | 0.9 | 7.0 | 5.2 | - | - | - | - | 45.3 | 41.4 | 81.6 | - | 55.8 | 53.0 |
JJ Redick
|
G | 61 | 17.1 | 5.9 | 1.7 | 1.1 | 0.3 | 0.0 | 0.8 | 4.7 | 3.6 | - | - | - | - | 38.7 | 37.3 | 86.7 | - | 55.8 | 49.8 |
| Anthony Johnson | G | 75 | 18.3 | 5.2 | 1.9 | 2.5 | 0.6 | 0.1 | 1.0 | 4.6 | 4.6 | - | - | - | - | 40.8 | 39.3 | 74.7 | - | 51.1 | 47.7 |
| Keith Bogans | G | 35 | 21.9 | 5.2 | 3.1 | 0.9 | 0.7 | 0.1 | 0.5 | 4.9 | 4.5 | - | - | - | - | 35.7 | 33.1 | 86.4 | - | 50.4 | 47.7 |
| Tony Battie | G | 72 | 15.4 | 4.7 | 3.7 | 0.4 | 0.3 | 0.3 | 0.6 | 4.0 | 4.8 | - | - | - | - | 50.0 | 22.2 | 66.2 | - | 52.9 | 50.3 |
Marcin Gortat
|
G | 59 | 12.2 | 3.7 | 4.3 | 0.2 | 0.3 | 0.8 | 0.4 | 2.9 | 6.0 | - | - | - | - | 56.1 | 100.0 | 55.0 | - | 56.9 | 56.4 |
| Tyronn Lue | G | 12 | 9.7 | 3.3 | 0.8 | 1.1 | 0.2 | 0.0 | 0.1 | 3.2 | 2.2 | - | - | - | - | 42.1 | 37.5 | 66.7 | - | 50.9 | 50.0 |
| Jeremy Richardson | G | 10 | 6.5 | 3.3 | 0.9 | 0.2 | 0.0 | 0.0 | 0.3 | 3.4 | 0.7 | - | - | - | - | 35.3 | 50.0 | 50.0 | - | 45.0 | 44.1 |
| Brian Cook | G | 20 | 7.0 | 3.0 | 1.3 | 0.2 | 0.1 | 0.0 | 0.5 | 2.9 | 1.2 | - | - | - | - | 37.9 | 45.8 | 83.3 | - | 49.5 | 47.4 |
| Adonal Foyle | - | 8 | 5.2 | 0.9 | 2.1 | 0.0 | 0.0 | 0.9 | 0.2 | 0.6 | 3.0 | - | - | - | - | 60.0 | 0 | 25.0 | - | 51.8 | 60.0 |
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