Atlanta Hawks
2005 Team Stats (81 games)
92.8
PPG
102.4
Opp
-9.6
Margin
44.0%
FG%
31.4%
3P%
71.1%
FT%
41.9
RPG
19.7
APG
15.2
TO
93.9
Est. poss./game
91.2
Adj PPG
100.7
Adj Opp PPG
#30
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 โ | 592 (#30) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 709 (#30) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 849 (#30) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -9.6 (#30) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -10.6 (#30) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.241 (#30) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.241 (#30) | NetEff -10.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.243 (#30) | AdjNet -9.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.242 (#30) | AdjNet -9.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.297 (#30) | AdjO 91.2 | AdjD 100.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.309 (#30) | AdjO 94.0 | AdjD 102.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.213 (#30) | 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 โ | 0.215 (#30) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 736 (#30) | RD 264 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Antoine Walker | G | 52 | 40.2 | 20.3 | 9.4 | 3.7 | 1.2 | 0.6 | 3.5 | 19.1 | 12.7 | - | - | - | - | 41.2 | 31.9 | 53.3 | - | 47.2 | 45.5 |
| Al Harrington | G | 65 | 38.6 | 17.4 | 7.0 | 3.2 | 1.3 | 0.2 | 3.1 | 14.9 | 11.2 | - | - | - | - | 45.7 | 20.8 | 67.2 | - | 50.5 | 46.5 |
| Tyronn Lue | G | 49 | 31.2 | 13.5 | 2.2 | 5.4 | 0.5 | 0.0 | 1.7 | 10.9 | 9.1 | - | - | - | - | 46.4 | 36.4 | 87.1 | - | 55.5 | 50.2 |
| Tony Delk | G | 55 | 23.8 | 12.0 | 2.3 | 1.9 | 0.9 | 0.1 | 1.0 | 10.5 | 5.6 | - | - | - | - | 41.9 | 35.9 | 75.7 | - | 51.6 | 48.0 |
| Josh Childress | G | 79 | 29.8 | 10.1 | 6.0 | 1.9 | 0.9 | 0.4 | 1.3 | 8.1 | 10.1 | - | - | - | - | 46.9 | 23.2 | 82.3 | - | 54.2 | 47.9 |
| Josh Smith | G | 73 | 28.0 | 9.8 | 6.2 | 1.7 | 0.8 | 2.0 | 1.8 | 8.2 | 10.5 | - | - | - | - | 45.6 | 18.2 | 68.8 | - | 50.7 | 45.9 |
| Predrag Drobnjak | G | 71 | 20.2 | 8.4 | 3.4 | 0.7 | 0.6 | 0.3 | 1.1 | 7.6 | 4.6 | - | - | - | - | 43.8 | 35.2 | 80.0 | - | 50.1 | 46.1 |
| Tom Gugliotta | G | 27 | 27.7 | 7.9 | 5.5 | 2.1 | 1.2 | 0.5 | 1.8 | 7.6 | 7.8 | - | - | - | - | 43.1 | 30.8 | 78.4 | - | 48.3 | 45.1 |
| Jason Collier | G | 69 | 13.3 | 5.7 | 2.6 | 0.2 | 0.2 | 0.2 | 0.9 | 5.3 | 2.7 | - | - | - | - | 46.1 | 42.9 | 67.6 | - | 49.2 | 46.9 |
| Obinna Ekezie | G | 42 | 17.4 | 5.5 | 4.3 | 0.3 | 0.5 | 0.3 | 1.1 | 4.3 | 5.4 | - | - | - | - | 43.4 | 0.0 | 77.4 | - | 51.6 | 43.4 |
| Kenny Anderson | G | 38 | 18.0 | 5.0 | 2.1 | 2.4 | 0.8 | 0.0 | 1.1 | 4.8 | 4.4 | - | - | - | - | 42.4 | 46.2 | 73.0 | - | 47.2 | 44.0 |
| Jon Barry | G | 15 | 17.0 | 4.9 | 1.2 | 1.7 | 0.7 | 0.1 | 0.9 | 4.6 | 3.1 | - | - | - | - | 39.1 | 36.7 | 72.7 | - | 49.4 | 47.1 |
Boris Diaw
|
G | 66 | 18.2 | 4.8 | 2.6 | 2.3 | 0.6 | 0.3 | 1.3 | 4.5 | 4.7 | - | - | - | - | 42.2 | 18.0 | 74.0 | - | 47.9 | 43.7 |
| Royal Ivey | G | 62 | 13.1 | 3.5 | 1.4 | 1.7 | 0.6 | 0.1 | 0.9 | 3.2 | 3.2 | - | - | - | - | 42.9 | 33.3 | 70.1 | - | 48.4 | 43.7 |
| Donta Smith | G | 37 | 11.7 | 3.4 | 1.4 | 1.1 | 0.6 | 0.1 | 0.7 | 3.0 | 2.9 | - | - | - | - | 39.3 | 27.3 | 68.8 | - | 47.7 | 42.0 |
| Kevin Willis | G | 29 | 11.9 | 3.0 | 2.6 | 0.3 | 0.3 | 0.2 | 0.5 | 3.1 | 2.8 | - | - | - | - | 38.9 | 0.0 | 73.9 | - | 43.4 | 38.9 |
| Michael Stewart | G | 12 | 12.1 | 2.1 | 3.3 | 0.4 | 0.5 | 0.4 | 0.5 | 1.8 | 4.5 | - | - | - | - | 52.4 | 0 | 42.9 | - | 51.9 | 52.4 |
| Anthony Miller | F | 2 | 4.5 | 2.0 | 0.5 | 0.5 | 0.5 | 0.0 | 0.5 | 1.5 | 1.5 | - | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Jelani McCoy | G | 9 | 8.3 | 1.4 | 1.9 | 0.0 | 0.3 | 0.6 | 0.6 | 1.3 | 2.3 | - | - | - | - | 50.0 | 0 | 25.0 | - | 47.2 | 50.0 |
| James Thomas | - | 2 | 2.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
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