San Francisco
2015 Team Stats (2 games)
66.5
PPG
84.5
Opp
-18.0
Margin
44.8%
FG%
31.0%
3P%
56.5%
FT%
34.5
RPG
11.5
APG
14.5
TO
-
Est. poss./game
67.8
Adj PPG
65.2
Adj Opp PPG
#129
Scoring Rank
Model Outputs
2014-2015
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 | 1065 (#126) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 956 (#210) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 976 (#202) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +3.0 (#125) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +0.4 (#163) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.511 (#168) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.636 (#124) | AdjNet +4.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.640 (#124) | AdjNet +5.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.559 (#129) | AdjO 67.8 | AdjD 65.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.482 (#186) | AdjO 65.3 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.551 (#141) | 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 | 0.536 (#154) | 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 | 1016 (#159) | RD 149 | GP 31 |
2015 Schedule & Results
2015 Roster
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kruize Pinkins
|
F | 30 | 26.5 | 13.8 | 5.6 | 1.2 | 0.7 | 0.4 | 1.9 | 1.9 | 17.9 | 67 | 23 | 2.9 | 4.9 | 48.3 | 50.0 | 69.0 | 0.72 | 270.0 | 56.0 |
Mark Tollefsen
|
F | 30 | 31.3 | 13.4 | 5.2 | 1.5 | 0.8 | 0.9 | 1.1 | 2.1 | 18.5 | 70 | 23 | 3.0 | 4.4 | 46.0 | 35.7 | 61.5 | 1.42 | 291.8 | 54.0 |
Tim Derksen
|
G | 30 | 29.4 | 12.7 | 4.5 | 2.3 | 1.0 | 0.1 | 1.5 | 1.9 | 17.2 | 51 | 23 | 2.2 | 3.4 | 42.1 | 40.9 | 58.3 | -0.11 | 261.5 | 50.0 |
Devin Watson
|
G | 29 | 24.2 | 8.7 | 1.8 | 2.7 | 1.0 | 0.0 | 2.0 | 1.2 | 10.9 | 23 | 22 | 1.0 | 2.1 | 35.3 | 20.0 | 64.3 | -0.86 | 315.0 | 38.2 |
Matt Glover
|
G | 30 | 26.2 | 5.4 | 5.2 | 3.0 | 1.2 | 0.3 | 1.9 | 1.0 | 12.2 | 45 | 23 | 2.0 | 3.2 | 38.7 | 45.5 | 16.7 | -0.99 | 224.6 | 46.8 |
Chris Adams
|
G | 30 | 18.1 | 4.4 | 1.4 | 0.9 | 0.2 | 0.0 | 0.5 | 0.6 | 5.9 | 78 | 23 | 3.4 | 8.4 | 22.2 | 23.5 | 0 | 2.11 | 366.7 | 33.3 |
Matt Christiansen
|
F | 30 | 17.9 | 4.3 | 3.4 | 0.8 | 0.2 | 0.4 | 1.0 | 0.6 | 7.6 | 35 | 22 | 1.6 | 3.8 | 42.1 | 0 | 0.0 | 0.17 | 334.4 | 42.1 |
Uche Ofoegbu
|
G | 1 | 2.0 | 4.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | 8 | 10 | 0.8 | 5.8 | 100.0 | 0 | 0.0 | -0.06 | 82.0 | 100.0 |
Corey Hilliard
|
G | 22 | 12.7 | 3.1 | 1.0 | 0.8 | 0.5 | 0.0 | 0.6 | 1.0 | 3.9 | 28 | 17 | 1.6 | 5.2 | 31.8 | 20.0 | 25.0 | 1.29 | 145.2 | 36.4 |
Derrell Robertson
|
C | 2 | 8.5 | 2.0 | 2.5 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.5 | 1 | 18 | 0.1 | 0.3 | 100.0 | 0 | 0 | -0.77 | 100.0 | 100.0 |
Frankie Ferrari
|
G | 14 | 9.1 | 1.4 | 1.2 | 0.7 | 0.1 | 0.0 | 0.7 | 0.6 | 2.1 | -4 | 11 | -0.4 | -1.9 | 44.4 | 20.0 | 0.0 | -3.01 | 100.6 | 50.0 |
Dominique Williams
|
- | 3 | 1.7 | 1.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.7 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
David Irby
|
- | 3 | 1.3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Chase Foster
|
F | 7 | 4.7 | 0.9 | 1.0 | 0.1 | 0.0 | 0.0 | 0.3 | 0.1 | 1.6 | - | - | - | - | 0.0 | 0.0 | 0 | -0.87 | 300.0 | 0.0 |
Gavin Hoffmann
|
G | 14 | 4.2 | 0.5 | 0.6 | 0.1 | 0.0 | 0.0 | 0.2 | 0.2 | 0.8 | 7 | 12 | 0.6 | 6.3 | 0.0 | 0 | 66.7 | -0.85 | 81.0 | 0.0 |
Montray Clemons
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -6 | 11 | -0.5 | -7.4 | 0.0 | 0.0 | 0 | -2.18 | 0.0 | 0.0 |
Nick Loew
|
F | 5 | 1.8 | 0.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.4 | - | - | - | - | 0.0 | 0 | 0 | -0.05 | 0.0 | 0.0 |
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