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
Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 | -49 | 60 | -0.8 | -2.2 | 42.2 | 30.6 | 82.3 | 0.02 | 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 | -38 | 55 | -0.7 | -3.0 | 50.4 | 23.1 | 81.6 | 1.12 | 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 | -16 | 46 | -0.3 | -0.7 | 42.6 | 45.8 | 83.3 | -0.4 | 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 | -70 | 60 | -1.2 | -5.1 | 43.1 | 39.8 | 83.8 | 0.25 | 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 | -72 | 60 | -1.2 | -3.9 | 52.3 | 0.0 | 66.9 | -0.48 | 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 | -8 | 60 | -0.1 | -0.5 | 45.8 | 31.3 | 66.7 | 1.8 | 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 | -37 | 34 | -1.1 | -4.0 | 42.0 | 37.3 | 55.6 | 0.58 | 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 | 42 | -1.3 | -3.7 | 53.9 | 0 | 77.0 | 0.44 | 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 | 97 | 51 | 1.9 | 13.5 | 36.7 | 21.7 | 90.9 | 0.65 | 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 | -49 | 24 | -2.0 | -14.3 | 45.5 | 33.3 | 77.8 | -0.51 | 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 | -53 | 59 | -0.9 | -3.8 | 46.7 | 0.0 | 74.2 | -0.23 | 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 | -57 | 55 | -1.0 | -6.6 | 40.4 | 33.3 | 87.9 | 0.24 | 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 | -53 | 37 | -1.4 | -11.1 | 40.9 | 0 | 74.0 | 0.1 | 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 | 6 | 11 | 0.5 | 2.2 | 50.8 | 0 | 56.8 | -0.4 | 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 | 8 | 29 | 0.3 | 4.0 | 47.9 | 0.0 | 53.7 | -0.74 | 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 | -21 | 8 | -2.6 | -21.2 | 44.4 | 0 | 33.3 | -0.95 | 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 | -11 | 15 | -0.7 | -23.2 | 42.9 | 0 | 0 | -1.37 | 42.9 | 42.9 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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