Phoenix Suns
2004 Team Stats (69 games)
93.9
PPG
98.1
Opp
-4.2
Margin
43.9%
FG%
33.7%
3P%
74.7%
FT%
40.6
RPG
19.3
APG
14.2
TO
94.9
Est. poss./game
92.5
Adj PPG
95.4
Adj Opp PPG
#22
Scoring Rank
Model Outputs
2003-2004
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 → | 986 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 907 (#24) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 960 (#21) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.0 (#22) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.5 (#23) | HCA +4.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.390 (#24) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.390 (#24) | NetEff -3.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.413 (#21) | AdjNet -3.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.412 (#21) | AdjNet -3.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.434 (#22) | AdjO 92.5 | AdjD 95.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.430 (#23) | AdjO 92.4 | AdjD 95.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.432 (#19) | 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 → | 0.432 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 952 (#21) | RD 256 | GP 82 |
2004 Schedule & Results
2004 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Stephon Marbury | G | 30 | 41.9 | 21.5 | 3.4 | 8.4 | 2.0 | 0.1 | 2.8 | 17.9 | 14.7 | - | - | - | - | 44.3 | 31.1 | 79.1 | - | 52.6 | 47.3 |
Amar'e Stoudemire
|
G | 45 | 37.0 | 20.7 | 9.3 | 1.4 | 1.1 | 1.5 | 3.2 | 15.7 | 15.1 | - | - | - | - | 47.7 | 25.0 | 72.1 | - | 54.0 | 47.7 |
| Shawn Marion | G | 67 | 40.7 | 18.6 | 9.3 | 2.8 | 2.1 | 1.3 | 1.9 | 17.0 | 15.1 | - | - | - | - | 43.0 | 33.0 | 83.9 | - | 50.2 | 46.3 |
| Joe Johnson | G | 69 | 40.5 | 16.7 | 4.8 | 4.2 | 1.1 | 0.3 | 2.4 | 15.9 | 8.8 | - | - | - | - | 42.9 | 29.3 | 74.7 | - | 48.6 | 45.8 |
| Anfernee Hardaway | G | 30 | 26.0 | 9.0 | 2.9 | 3.0 | 0.9 | 0.2 | 1.3 | 8.1 | 6.5 | - | - | - | - | 44.7 | 40.6 | 84.4 | - | 51.0 | 47.3 |
Leandro Barbosa
|
G | 58 | 21.3 | 7.5 | 1.7 | 2.2 | 1.4 | 0.1 | 1.6 | 6.6 | 4.6 | - | - | - | - | 43.5 | 38.4 | 77.8 | - | 53.9 | 52.1 |
| Howard Eisley | G | 27 | 20.7 | 7.1 | 1.7 | 3.3 | 0.8 | 0.1 | 1.1 | 7.4 | 4.3 | - | - | - | - | 34.5 | 33.3 | 77.5 | - | 43.9 | 40.0 |
| Scott Williams | G | 15 | 16.7 | 6.9 | 4.5 | 0.4 | 0.9 | 0.3 | 0.3 | 6.3 | 6.3 | - | - | - | - | 49.5 | 100.0 | 72.7 | - | 52.1 | 50.5 |
| Jake Voskuhl | G | 56 | 24.8 | 6.9 | 5.3 | 0.9 | 0.6 | 0.3 | 1.2 | 4.6 | 8.1 | - | - | - | - | 51.5 | 0 | 75.3 | - | 58.6 | 51.5 |
| Antonio McDyess | G | 19 | 23.0 | 6.3 | 6.3 | 0.8 | 1.2 | 0.7 | 1.3 | 5.8 | 8.1 | - | - | - | - | 48.6 | 0 | 47.8 | - | 49.1 | 48.6 |
| Casey Jacobsen | G | 65 | 23.7 | 5.9 | 2.6 | 1.3 | 0.6 | 0.1 | 0.9 | 4.7 | 4.9 | - | - | - | - | 39.4 | 40.0 | 84.9 | - | 54.8 | 49.2 |
| Maciej Lampe | G | 18 | 10.6 | 4.4 | 2.2 | 0.4 | 0.1 | 0.2 | 0.6 | 4.1 | 2.6 | - | - | - | - | 47.3 | 0.0 | 76.9 | - | 50.2 | 47.3 |
| Jahidi White | G | 51 | 13.7 | 4.2 | 4.0 | 0.1 | 0.4 | 0.8 | 1.0 | 3.0 | 5.5 | - | - | - | - | 51.6 | 0 | 49.5 | - | 52.8 | 51.6 |
| Zarko Cabarkapa | G | 42 | 11.2 | 4.0 | 1.9 | 0.8 | 0.2 | 0.3 | 1.1 | 4.0 | 2.2 | - | - | - | - | 39.5 | 17.2 | 68.8 | - | 45.2 | 41.0 |
| Donnell Harvey | G | 28 | 11.3 | 3.8 | 2.3 | 0.2 | 0.3 | 0.4 | 0.5 | 3.3 | 3.2 | - | - | - | - | 46.7 | 0 | 80.0 | - | 51.5 | 46.7 |
| Tom Gugliotta | G | 27 | 10.2 | 2.1 | 1.9 | 0.7 | 0.4 | 0.1 | 0.7 | 3.3 | 1.4 | - | - | - | - | 28.1 | 0.0 | 75.0 | - | 30.3 | 28.1 |
| Robert Archibald | - | 1 | 6.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | - | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
| Brevin Knight | G | 3 | 6.3 | 0.7 | 1.0 | 1.3 | 1.0 | 0.3 | 1.0 | 1.0 | 2.3 | - | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Cezary Trybanski | - | 3 | 2.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | 0.7 | -0.7 | - | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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