Santa Clara
2016 Team Stats (3 games)
69.0
PPG
74.2
Opp
-7.2
Margin
46.0%
FG%
39.4%
3P%
59.6%
FT%
32.7
RPG
15.3
APG
16.3
TO
77.6
Pace
Model Outputs
2015-2016
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 → | 1491 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1329 (#120) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.3 (#95) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.225 (#76) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.278 (#88) | AdjNet -8.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.282 (#88) | AdjNet -8.1 |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-11-15 | vs | Milwaukee Panthers | L | 65 - 71 |
| 2015-11-23 | @ | UC Irvine Anteaters | L | 61 - 79 |
| 2015-11-26 | @ | Arizona Wildcats | L | 73 - 75 |
| 2015-12-18 | @ | Nevada Wolf Pack | L | 69 - 72 |
2016 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Brownridge
|
G | 4 | 33.8 | 24.5 | 3.0 | 2.5 | 0.2 | 0.0 | 1.8 | 19.2 | 9.2 | - | - | - | 33.8 | 37.2 | 81.1 | 0.33 | 52.5 | 44.2 |
K. Feagin
|
G | 4 | 29.5 | 10.8 | 2.0 | 1.8 | 0.8 | 0.0 | 3.8 | 8.8 | 2.8 | - | - | - | 54.3 | 44.4 | 33.3 | -0.07 | 59.2 | 60.0 |
J. Pugh
|
F | 3 | 25.0 | 6.3 | 6.0 | 1.7 | 1.0 | 0.3 | 1.7 | 4.3 | 9.3 | - | - | - | 53.8 | 0 | 45.5 | 0.01 | 53.3 | 53.8 |
N. Kratch
|
F | 4 | 26.8 | 5.5 | 7.8 | 0.5 | 0.8 | 0.2 | 1.5 | 6.0 | 7.2 | - | - | - | 41.7 | 0 | 28.6 | -0.26 | 40.6 | 41.7 |
M. Hubbard
|
F | 4 | 21.0 | 5.5 | 2.0 | 0.5 | 0.2 | 1.0 | 0.8 | 5.8 | 2.8 | - | - | - | 34.8 | 25.0 | 100.0 | 0.14 | 46.1 | 43.5 |
M. Hauser
|
G | 4 | 20.8 | 5.2 | 2.0 | 2.2 | 0.5 | 0.0 | 0.8 | 5.2 | 4.0 | - | - | - | 33.3 | 28.6 | 83.3 | -0.09 | 44.4 | 38.1 |
K. Healy
|
G | 4 | 16.5 | 5.0 | 1.8 | 1.0 | 1.2 | 0.5 | 1.5 | 4.0 | 4.0 | - | - | - | 43.8 | 40.0 | 100.0 | - | 59.2 | 56.2 |
B. Taylor
|
G | 2 | 12.0 | 4.0 | 2.5 | 1.0 | 0.0 | 0.0 | 0.0 | 2.5 | 5.0 | 18 | 1.5 | 1.0 | 60.0 | 50.0 | 50.0 | 1.54 | 68.0 | 70.0 |
E. Wardlow
|
G | 2 | 29.5 | 3.5 | 2.5 | 4.5 | 1.5 | 0.0 | 0.5 | 3.5 | 8.0 | - | - | - | 28.6 | 0 | 75.0 | - | 40.0 | 28.6 |
H. Jadersten
|
F | 4 | 6.2 | 1.5 | 0.5 | 0.0 | 0.2 | 0.0 | 1.0 | 1.2 | 0.0 | - | - | - | 40.0 | 25.0 | 50.0 | - | 51.0 | 50.0 |
E. Ndumanya
|
C | 4 | 10.8 | 0.5 | 2.8 | 0.2 | 0.0 | 0.2 | 0.8 | 0.0 | 3.0 | - | - | - | 0 | 0 | 66.7 | -0.68 | 75.8 | 0 |
W. Nistler
|
G | 2 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.5 | 1.0 | -1.5 | - | - | - | 0.0 | 0.0 | 0 | - | 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