Orlando Magic
2005 Team Stats (77 games)
99.8
PPG
102.0
Opp
-2.2
Margin
45.6%
FG%
35.4%
3P%
75.9%
FT%
43.7
RPG
19.5
APG
15.7
TO
97.0
Est. poss./game
98.0
Adj PPG
100.5
Adj Opp PPG
#23
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 → | 825 (#25) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 949 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 926 (#23) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.5 (#23) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.8 (#25) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.436 (#22) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.440 (#22) | NetEff -2.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.431 (#23) | AdjNet -2.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.431 (#23) | AdjNet -2.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.444 (#23) | AdjO 98.0 | AdjD 100.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.410 (#25) | AdjO 97.4 | AdjD 101.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.380 (#24) | 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 → | 0.373 (#24) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 926 (#23) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Steve Francis | G | 75 | 38.0 | 21.3 | 5.8 | 7.0 | 1.4 | 0.4 | 4.0 | 17.1 | 14.8 | - | - | - | - | 42.2 | 30.6 | 82.3 | - | 52.0 | 43.7 |
| Grant Hill | G | 62 | 34.9 | 19.4 | 4.7 | 3.3 | 1.4 | 0.4 | 2.4 | 15.2 | 11.6 | - | - | - | - | 50.4 | 23.1 | 81.6 | - | 55.9 | 50.6 |
| Cuttino Mobley | G | 22 | 31.3 | 16.0 | 2.7 | 1.8 | 1.0 | 0.4 | 1.9 | 12.9 | 7.2 | - | - | - | - | 42.6 | 45.8 | 83.3 | - | 56.2 | 52.3 |
| Hedo Turkoglu | G | 62 | 26.1 | 14.3 | 3.5 | 2.3 | 0.6 | 0.3 | 1.8 | 11.6 | 7.6 | - | - | - | - | 43.1 | 39.8 | 83.8 | - | 54.6 | 49.4 |
Dwight Howard
|
G | 77 | 32.4 | 11.9 | 10.0 | 0.9 | 0.9 | 1.7 | 2.0 | 8.2 | 15.2 | - | - | - | - | 52.3 | 0.0 | 66.9 | - | 57.3 | 52.3 |
| Jameer Nelson | G | 74 | 20.1 | 8.5 | 2.4 | 3.0 | 1.0 | 0.0 | 1.5 | 7.8 | 5.8 | - | - | - | - | 45.8 | 31.3 | 66.7 | - | 51.3 | 49.5 |
| DeShawn Stevenson | G | 50 | 19.7 | 8.0 | 1.8 | 1.3 | 0.3 | 0.1 | 1.1 | 7.6 | 2.7 | - | - | - | - | 42.0 | 37.3 | 55.6 | - | 47.1 | 45.3 |
| Kelvin Cato | G | 57 | 24.3 | 6.9 | 6.6 | 0.6 | 0.9 | 1.4 | 1.0 | 4.8 | 10.6 | - | - | - | - | 53.9 | 0 | 77.0 | - | 59.9 | 53.9 |
| Doug Christie | G | 21 | 25.2 | 5.7 | 2.6 | 2.2 | 1.8 | 0.2 | 1.7 | 6.1 | 4.6 | - | - | - | - | 36.7 | 21.7 | 90.9 | - | 43.2 | 38.7 |
| Andre Barrett | G | 11 | 15.3 | 5.6 | 1.9 | 2.5 | 0.5 | 0.1 | 1.0 | 5.0 | 4.5 | - | - | - | - | 45.5 | 33.3 | 77.8 | - | 52.6 | 50.0 |
| Tony Battie | G | 77 | 23.6 | 4.9 | 5.7 | 0.5 | 0.4 | 1.0 | 1.0 | 4.3 | 7.1 | - | - | - | - | 46.7 | 0.0 | 74.2 | - | 50.7 | 46.7 |
| Pat Garrity | G | 69 | 13.4 | 4.6 | 1.8 | 0.4 | 0.3 | 0.1 | 0.4 | 4.3 | 2.4 | - | - | - | - | 40.4 | 33.3 | 87.9 | - | 50.7 | 48.3 |
| Stacey Augmon | G | 53 | 12.2 | 3.6 | 1.8 | 0.7 | 0.4 | 0.2 | 0.6 | 3.1 | 3.0 | - | - | - | - | 40.9 | 0 | 74.0 | - | 48.3 | 40.9 |
| Brandon Hunter | G | 29 | 6.9 | 3.0 | 2.1 | 0.1 | 0.1 | 0.2 | 0.7 | 2.2 | 2.7 | - | - | - | - | 50.8 | 0 | 56.8 | - | 53.5 | 50.8 |
| Mario Kasun | G | 41 | 8.1 | 2.8 | 3.0 | 0.2 | 0.2 | 0.3 | 0.5 | 2.3 | 3.6 | - | - | - | - | 47.9 | 0.0 | 53.7 | - | 50.0 | 47.9 |
| Mark Jones | G | 10 | 11.5 | 2.3 | 1.3 | 0.6 | 0.5 | 0.2 | 0.3 | 3.1 | 1.5 | - | - | - | - | 29.0 | 0.0 | 50.0 | - | 32.5 | 29.0 |
| Andrew DeClercq | G | 8 | 6.1 | 1.1 | 1.2 | 0.0 | 0.2 | 0.0 | 0.1 | 1.1 | 1.4 | - | - | - | - | 44.4 | 0 | 33.3 | - | 43.6 | 44.4 |
| Michael Bradley | G | 8 | 6.8 | 0.8 | 1.8 | 0.2 | 0.1 | 0.2 | 0.1 | 0.9 | 2.1 | - | - | - | - | 42.9 | 0 | 0 | - | 42.9 | 42.9 |
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