Santa Clara
2019 Team Stats (3 games)
71.7
PPG
81.8
Opp
-21.4
Margin
46.3%
FG%
32.2%
3P%
70.6%
FT%
33.3
RPG
14.3
APG
14.7
TO
78.0
Pace
Model Outputs
2018-2019
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 → | 1431 (#58) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1375 (#81) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.9 (#89) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.002 (#116) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.008 (#114) | AdjNet -41.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.007 (#114) | AdjNet -41.7 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | @ | Washington Huskies | L | 68 - 82 |
| 2018-11-29 | vs | Jackson State Tigers | W | 81 - 70 |
| 2018-12-07 | vs | Idaho State Bengals | L | 66 - 68 |
| 2019-01-05 | @ | Gonzaga Bulldogs | L | 48 - 91 |
| 2019-01-24 | vs | Gonzaga Bulldogs | L | 39 - 98 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Wertz
|
- | 4 | 33.2 | 14.5 | 3.2 | 4.0 | 0.5 | 0.0 | 5.0 | 2.5 | 14.8 | - | - | - | 40.0 | 33.3 | 80.0 | - | 237.7 | 45.0 |
J. Vrankic
|
F | 5 | 31.0 | 13.6 | 5.6 | 0.8 | 0.6 | 0.8 | 2.2 | 9.4 | 9.8 | - | - | - | 51.1 | 33.3 | 63.0 | - | 57.7 | 54.3 |
T. Eaddy
|
G | 5 | 33.4 | 10.6 | 1.6 | 2.2 | 0.4 | 0.0 | 2.8 | 11.4 | 0.6 | - | - | - | 33.3 | 24.1 | 88.9 | - | 43.5 | 39.5 |
K. Justice
|
- | 5 | 25.0 | 10.2 | 2.6 | 1.8 | 0.8 | 0.0 | 1.0 | 9.0 | 5.4 | - | - | - | 35.6 | 26.9 | 70.6 | - | 48.6 | 43.3 |
E. Richards
|
C | 5 | 16.8 | 4.6 | 3.0 | 0.6 | 0.2 | 0.2 | 0.8 | 3.2 | 4.6 | - | - | - | 56.2 | 0 | 41.7 | 0.55 | 54.0 | 56.2 |
G. Caruso
|
F | 5 | 20.2 | 3.2 | 4.4 | 1.2 | 0.4 | 0.8 | 1.0 | 3.2 | 5.8 | - | - | - | 37.5 | 0.0 | 44.4 | - | 40.1 | 37.5 |
H. Jadersten
|
F | 5 | 8.8 | 2.0 | 1.2 | 0.2 | 0.0 | 0.4 | 0.8 | 1.8 | 1.2 | - | - | - | 44.4 | 0.0 | 100.0 | - | 50.6 | 44.4 |
J. Martin
|
F | 5 | 27.2 | 1.8 | 7.6 | 0.6 | 0.4 | 0.8 | 1.2 | 2.8 | 7.2 | 12 | 1.7 | 9.0 | 21.4 | 33.3 | 0.0 | 0.25 | 30.2 | 32.1 |
F. Ndoye
|
C | 1 | 16.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 3.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0 | 50.0 | - | 12.9 | 0.0 |
M. Dorward
|
G | 2 | 2.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | - | - | - | 100.0 | 0 | 0.0 | - | 53.2 | 100.0 |
J. Sawyer
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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