Phoenix Suns
2005 Team Stats (80 games)
110.5
PPG
103.5
Opp
+7.0
Margin
47.8%
FG%
39.3%
3P%
74.8%
FT%
44.1
RPG
23.6
APG
13.4
TO
98.3
Est. poss./game
109.9
Adj PPG
102.6
Adj Opp PPG
#2
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 → | 1238 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1207 (#1) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1102 (#4) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.4 (#2) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.0 (#2) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.671 (#3) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.670 (#3) | NetEff +6.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.695 (#2) | AdjNet +7.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.695 (#2) | AdjNet +7.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.661 (#2) | AdjO 109.9 | AdjD 102.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.631 (#2) | AdjO 109.5 | AdjD 103.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.704 (#2) | 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 → | 0.698 (#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 → | 1168 (#2) | RD 109 | GP 97 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Amar'e Stoudemire
|
G | 78 | 36.1 | 26.1 | 8.8 | 1.7 | 1.0 | 1.6 | 2.3 | 16.7 | 20.1 | 484 | 62 | 7.8 | 29.4 | 56.0 | 18.8 | 73.4 | 1.09 | 61.8 | 56.1 |
| Shawn Marion | G | 79 | 38.7 | 19.2 | 11.3 | 1.8 | 2.0 | 1.4 | 1.6 | 15.9 | 18.3 | 491 | 61 | 8.0 | 20.5 | 47.5 | 33.0 | 82.6 | 1.77 | 55.3 | 51.8 |
| Joe Johnson | G | 80 | 39.4 | 17.1 | 5.1 | 3.5 | 1.0 | 0.3 | 1.8 | 14.3 | 10.9 | 477 | 62 | 7.7 | 18.3 | 46.3 | 47.7 | 74.6 | 0.31 | 55.8 | 53.9 |
| Steve Nash | G | 73 | 34.5 | 15.5 | 3.3 | 11.6 | 1.0 | 0.1 | 3.2 | 11.4 | 16.9 | 503 | 56 | 9.0 | 30.3 | 50.3 | 43.1 | 88.4 | 1.92 | 60.7 | 55.8 |
| Quentin Richardson | G | 77 | 35.8 | 14.9 | 6.1 | 2.0 | 1.2 | 0.3 | 1.3 | 13.2 | 10.0 | 427 | 61 | 7.0 | 25.9 | 38.9 | 35.8 | 74.4 | 1.11 | 52.2 | 49.8 |
| Jim Jackson | G | 40 | 24.9 | 8.8 | 3.9 | 2.4 | 0.3 | 0.1 | 1.5 | 7.5 | 6.5 | 108 | 44 | 2.5 | 7.0 | 43.5 | 45.9 | 96.0 | -0.02 | 56.8 | 54.8 |
Leandro Barbosa
|
G | 62 | 17.4 | 7.1 | 2.1 | 2.0 | 0.5 | 0.1 | 1.4 | 5.6 | 4.8 | 295 | 43 | 6.9 | 28.2 | 47.7 | 37.5 | 79.7 | 0.17 | 57.8 | 55.0 |
| Casey Jacobsen | G | 38 | 19.2 | 5.4 | 1.6 | 0.9 | 0.3 | 0.0 | 0.6 | 4.0 | 3.6 | 198 | 61 | 3.2 | 12.7 | 41.1 | 38.4 | 78.3 | -0.05 | 57.5 | 52.0 |
| Steven Hunter | G | 74 | 13.9 | 4.6 | 3.1 | 0.2 | 0.1 | 1.3 | 0.6 | 2.9 | 5.7 | 335 | 56 | 6.0 | 27.5 | 62.0 | 0.0 | 48.4 | 0.61 | 60.3 | 62.0 |
| Walter McCarty | G | 28 | 12.6 | 3.5 | 2.2 | 0.4 | 0.4 | 0.2 | 0.7 | 3.0 | 2.9 | 23 | 55 | 0.4 | 3.6 | 38.8 | 38.5 | 50.0 | 0.7 | 53.8 | 53.5 |
| Smush Parker | G | 5 | 6.8 | 3.0 | 0.6 | 0.8 | 0.4 | 0.0 | 1.8 | 3.0 | 0.0 | -55 | 15 | -3.7 | -141.5 | 46.7 | 25.0 | 0 | -1.54 | 50.0 | 50.0 |
| Zarko Cabarkapa | - | 3 | 3.7 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.3 | 1.7 | -90 | 23 | -3.9 | -16.2 | 57.1 | 0 | 100.0 | -0.25 | 60.5 | 57.1 |
| Maciej Lampe | G | 16 | 7.5 | 2.8 | 2.0 | 0.1 | 0.1 | 0.1 | 0.6 | 3.1 | 1.3 | 90 | 25 | 3.6 | 34.0 | 34.7 | 66.7 | 66.7 | -0.79 | 40.5 | 36.7 |
| Jake Voskuhl | G | 37 | 9.0 | 2.1 | 2.3 | 0.4 | 0.1 | 0.3 | 0.5 | 1.5 | 3.1 | 103 | 30 | 3.4 | 28.7 | 45.6 | 0 | 69.4 | -0.28 | 52.9 | 45.6 |
| Yuta Tabuse | - | 4 | 4.2 | 1.8 | 1.0 | 0.8 | 0.0 | 0.0 | 0.2 | 1.5 | 1.8 | - | - | - | - | 16.7 | 100.0 | 100.0 | - | 45.1 | 25.0 |
| Jackson Vroman | F | 10 | 5.6 | 1.6 | 1.3 | 0.7 | 0.3 | 0.2 | 0.7 | 1.6 | 1.8 | 15 | 26 | 0.6 | 2.4 | 37.5 | 0 | 57.1 | -0.21 | 41.9 | 37.5 |
| Paul Shirley | F | 9 | 3.3 | 1.3 | 0.2 | 0.3 | 0.0 | 0.0 | 0.1 | 1.2 | 0.6 | -25 | 2 | -12.5 | -72.4 | 45.5 | 0 | 50.0 | -1.55 | 47.0 | 45.5 |
| Bo Outlaw | G | 38 | 5.6 | 0.8 | 1.3 | 0.3 | 0.2 | 0.3 | 0.2 | 0.9 | 1.8 | 10 | 33 | 0.3 | 12.1 | 35.3 | 0 | 55.6 | -0.88 | 38.2 | 35.3 |
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