Sacramento Kings
2006 Team Stats (80 games)
98.8
PPG
97.3
Opp
+1.5
Margin
45.4%
FG%
35.1%
3P%
78.2%
FT%
40.6
RPG
22.2
APG
14.0
TO
94.5
Est. poss./game
97.6
Adj PPG
96.3
Adj Opp PPG
#12
Scoring Rank
Model Outputs
2005-2006
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 → | 1147 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1034 (#11) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1048 (#6) | HCA +96 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.3 (#12) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.8 (#12) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.523 (#13) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.523 (#13) | NetEff +0.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.537 (#13) | AdjNet +1.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.537 (#13) | AdjNet +1.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.529 (#12) | AdjO 97.6 | AdjD 96.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.531 (#12) | AdjO 96.7 | AdjD 95.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.579 (#7) | 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 → | 0.580 (#7) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1073 (#7) | RD 193 | GP 88 |
2006 Schedule & Results
2006 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mike Bibby | G | 80 | 38.7 | 21.2 | 2.9 | 5.4 | 1.0 | 0.1 | 2.4 | 16.9 | 11.3 | - | - | - | - | 43.3 | 38.7 | 84.9 | - | 55.5 | 50.3 |
Metta World Peace
|
G | 40 | 40.1 | 16.9 | 5.2 | 4.2 | 2.0 | 0.8 | 2.2 | 15.8 | 11.1 | - | - | - | - | 38.3 | 30.2 | 71.7 | - | 47.4 | 43.0 |
| Peja Stojakovic | G | 30 | 37.0 | 16.3 | 5.4 | 2.2 | 0.5 | 0.1 | 1.6 | 13.7 | 9.3 | - | - | - | - | 39.8 | 39.0 | 93.1 | - | 53.6 | 47.9 |
| Brad Miller | G | 77 | 37.1 | 14.9 | 7.8 | 4.7 | 0.8 | 0.8 | 2.3 | 11.1 | 15.5 | - | - | - | - | 49.5 | 39.1 | 82.5 | - | 57.5 | 51.5 |
| Bonzi Wells | G | 51 | 32.2 | 13.3 | 7.7 | 2.8 | 1.8 | 0.5 | 2.5 | 11.6 | 12.0 | - | - | - | - | 45.9 | 23.3 | 67.4 | - | 50.3 | 46.7 |
| Shareef Abdur-Rahim | G | 71 | 27.1 | 12.3 | 4.9 | 2.0 | 0.7 | 0.6 | 1.5 | 8.8 | 10.1 | - | - | - | - | 52.3 | 23.8 | 78.0 | - | 58.5 | 52.7 |
Kevin Martin
|
G | 70 | 26.9 | 11.0 | 3.6 | 1.3 | 0.8 | 0.1 | 1.1 | 7.7 | 8.1 | - | - | - | - | 47.9 | 37.1 | 84.7 | - | 60.4 | 54.0 |
| Kenny Thomas | G | 80 | 28.1 | 9.2 | 7.6 | 2.0 | 0.9 | 0.5 | 1.6 | 7.4 | 11.2 | - | - | - | - | 50.8 | 0.0 | 68.0 | - | 54.3 | 50.8 |
| Francisco Garcia | G | 65 | 19.1 | 5.4 | 2.7 | 1.4 | 0.6 | 0.7 | 1.1 | 4.8 | 4.9 | - | - | - | - | 39.6 | 28.4 | 75.6 | - | 50.2 | 45.7 |
| Corliss Williamson | G | 35 | 9.9 | 3.5 | 1.9 | 0.4 | 0.2 | 0.1 | 0.8 | 2.8 | 2.4 | - | - | - | - | 41.4 | 100.0 | 78.7 | - | 50.6 | 42.4 |
| Jason Hart | G | 64 | 12.3 | 3.2 | 1.0 | 1.1 | 0.5 | 0.1 | 0.6 | 3.3 | 1.9 | - | - | - | - | 38.4 | 25.9 | 64.8 | - | 43.4 | 40.0 |
| Brian Skinner | G | 36 | 11.4 | 2.4 | 2.7 | 0.4 | 0.2 | 0.6 | 0.5 | 1.8 | 4.0 | - | - | - | - | 56.9 | 0 | 42.3 | - | 55.6 | 56.9 |
| Ronnie Price | G | 27 | 4.8 | 2.1 | 0.4 | 0.4 | 0.2 | 0.0 | 0.3 | 1.8 | 1.0 | - | - | - | - | 41.7 | 25.0 | 100.0 | - | 53.4 | 47.9 |
| Vitaly Potapenko | F | 9 | 3.5 | 1.1 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | 0.6 | - | - | - | - | 71.4 | 0 | 0 | - | 71.4 | 71.4 |
| Jamal Sampson | - | 11 | 3.3 | 0.7 | 1.5 | 0.5 | 0.0 | 0.4 | 0.0 | 0.5 | 2.5 | - | - | - | - | 66.7 | 0 | 0.0 | - | 58.1 | 66.7 |
| Sergei Monia | - | 3 | 2.3 | 0.7 | 0.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.7 | 0.7 | - | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 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