Santa Clara
2018 Team Stats (4 games)
56.3
PPG
78.0
Opp
-21.2
Margin
38.9%
FG%
28.4%
3P%
76.3%
FT%
26.3
RPG
9.5
APG
14.3
TO
70.1
Pace
Model Outputs
2017-2018
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 → | 1456 (#57) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1344 (#99) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.9 (#95) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.005 (#108) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.063 (#104) | AdjNet -23.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.058 (#104) | AdjNet -23.6 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-22 | vs | Idaho Vandals | L | 59 - 69 |
| 2017-11-23 | @ | Alaska Anchorage Seawolves | L | 73 - 78 |
| 2017-12-30 | @ | Gonzaga Bulldogs | L | 52 - 101 |
| 2018-01-20 | vs | Gonzaga Bulldogs | L | 60 - 75 |
| 2018-02-24 | @ | Saint Mary's Gaels | L | 40 - 67 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Feagin
|
G | 5 | 31.8 | 13.2 | 1.6 | 3.2 | 0.4 | 0.2 | 2.8 | 8.4 | 7.4 | - | - | - | 42.9 | 20.0 | 83.3 | - | 69.8 | 45.2 |
H. Caruso
|
F | 5 | 38.0 | 12.4 | 7.0 | 2.4 | 1.0 | 0.2 | 2.0 | 5.4 | 15.6 | - | - | - | 48.1 | 60.0 | 83.3 | - | 82.5 | 53.7 |
J. Vrankic
|
F | 5 | 31.6 | 9.2 | 4.6 | 0.8 | 0.8 | 1.0 | 2.4 | 7.2 | 6.8 | - | - | - | 33.3 | 7.1 | 73.7 | - | 51.8 | 34.7 |
M. Hauser
|
G | 5 | 32.6 | 8.8 | 3.2 | 2.4 | 0.8 | 0.0 | 2.4 | 8.0 | 4.8 | - | - | - | 30.0 | 26.3 | 66.7 | - | 53.2 | 36.2 |
M. Turner
|
G | 4 | 13.8 | 5.0 | 0.8 | 0.0 | 0.0 | 0.2 | 0.8 | 4.0 | 1.2 | -8 | -0.8 | -1.9 | 31.2 | 45.5 | 50.0 | 0.43 | 59.2 | 46.9 |
E. Ndumanya
|
C | 5 | 22.2 | 4.6 | 4.0 | 0.4 | 0.4 | 0.4 | 1.6 | 2.0 | 6.2 | - | - | - | 70.0 | 0 | 63.6 | - | 77.5 | 70.0 |
S. Walters
|
G | 4 | 16.5 | 1.8 | 1.5 | 0.5 | 0.2 | 0.2 | 1.0 | 1.0 | 2.2 | -40 | -5.0 | -25.3 | 25.0 | 50.0 | 100.0 | -0.43 | 71.7 | 37.5 |
H. Jadersten
|
F | 3 | 10.7 | 1.7 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 1.3 | 2.0 | - | - | - | 50.0 | 33.3 | 0 | - | 62.5 | 62.5 |
J. Pugh
|
F | 5 | 10.4 | 1.4 | 1.2 | 0.4 | 0.4 | 0.0 | 0.4 | 1.2 | 1.8 | - | - | - | 33.3 | 50.0 | 66.7 | - | 47.8 | 41.7 |
K. Healy
|
G | 3 | 13.0 | 1.3 | 1.3 | 0.0 | 0.3 | 0.0 | 0.7 | 1.7 | 0.7 | - | - | - | 40.0 | 0.0 | 0 | - | 40.0 | 40.0 |
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