Santa Clara Broncos
2019 Team Stats (5 games)
50.2
PPG
72.6
Opp
-22.4
Margin
32.2%
FG%
23.9%
3P%
72.5%
FT%
31.0
RPG
10.4
APG
11.8
TO
76.1
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 → | 1224 (#85) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1136 (#139) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.8 (#124) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.593 (#165) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-30 | vs | Cal State Northridge Matadors | L | 38 - 53 |
| 2018-12-09 | @ | Oregon State Beavers | L | 31 - 82 |
| 2019-01-26 | @ | Gonzaga Bulldogs | L | 61 - 78 |
| 2019-02-21 | vs | Gonzaga Bulldogs | L | 61 - 74 |
| 2019-03-08 | @ | Pacific Tigers | L | 60 - 76 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Herlihy
|
F | 5 | 31.6 | 10.2 | 6.8 | 1.2 | 1.0 | 0.0 | 1.8 | 8.8 | 8.6 | - | - | - | 38.6 | 28.6 | 73.3 | 0.49 | 50.4 | 45.5 |
T. Hay
|
G | 5 | 31.6 | 9.2 | 2.2 | 2.8 | 1.6 | 0.0 | 2.8 | 11.4 | 1.6 | - | - | - | 35.1 | 11.8 | 66.7 | 0.69 | 38.6 | 36.8 |
E. Wolph
|
G | 5 | 22.4 | 8.4 | 2.2 | 1.4 | 1.0 | 0.0 | 1.8 | 10.2 | 1.0 | - | - | - | 33.3 | 25.9 | 100.0 | 0.41 | 40.8 | 40.2 |
C. Holloway
|
G | 2 | 16.0 | 8.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.5 | 5.0 | 5.5 | - | - | - | 60.0 | 57.1 | 0.0 | 0.24 | 76.6 | 80.0 |
L. Yearwood
|
F | 5 | 27.6 | 6.6 | 5.0 | 1.0 | 0.6 | 2.2 | 1.0 | 8.8 | 5.6 | - | - | - | 34.1 | 33.3 | 25.0 | 0.81 | 36.1 | 36.4 |
L. VanAllen
|
G | 5 | 16.2 | 4.8 | 2.4 | 0.6 | 0.0 | 0.0 | 0.8 | 5.8 | 1.2 | - | - | - | 37.9 | 0.0 | 100.0 | 1.09 | 40.2 | 37.9 |
L. Pritchard
|
G | 5 | 16.2 | 2.8 | 1.6 | 0.6 | 0.8 | 0.0 | 0.8 | 3.0 | 2.0 | - | - | - | 20.0 | 42.9 | 83.3 | 0.64 | 39.7 | 30.0 |
T. Braggs
|
F | 2 | 9.0 | 2.0 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 4.5 | -1.0 | - | - | - | 11.1 | 0 | 100.0 | 0.21 | 20.2 | 11.1 |
J. Fatuesi
|
F | 3 | 9.0 | 1.7 | 2.0 | 1.7 | 1.0 | 0.0 | 1.0 | 2.0 | 3.3 | - | - | - | 33.3 | 50.0 | 0 | 0.24 | 41.7 | 41.7 |
N. Jimenez
|
G | 5 | 23.2 | 1.6 | 3.0 | 0.8 | 0.6 | 0.2 | 0.2 | 4.6 | 1.4 | - | - | - | 13.0 | 0.0 | 100.0 | 0.96 | 16.8 | 13.0 |
E. Meyer
|
F | 4 | 7.8 | 1.2 | 0.5 | 0.2 | 0.2 | 0.2 | 1.2 | 1.5 | -0.2 | - | - | - | 33.3 | 0 | 100.0 | 0.27 | 38.8 | 33.3 |
D. Toleafoa
|
F | 5 | 9.6 | 0.6 | 1.8 | 0.4 | 0.6 | 0.0 | 0.2 | 2.0 | 1.2 | - | - | - | 10.0 | 20.0 | 0 | 0.23 | 15.0 | 15.0 |
A. Flor
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.15 | 0 | 0 |
M. Piper
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -1.4 | 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