Cal State Northridge Matadors
2024 Team Stats (2 games)
45.5
PPG
89.5
Opp
-44.0
Margin
29.6%
FG%
43.2%
3P%
52.4%
FT%
21.0
RPG
9.0
APG
19.5
TO
78.1
Pace
Model Outputs
2023-2024
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 → | 866 (#308) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 904 (#295) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.5 (#325) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.360 (#230) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.008 (#105) | AdjNet -40.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.007 (#105) | AdjNet -43.0 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-07 | @ | UCLA Bruins | L | 48 - 111 |
| 2023-12-28 | vs | Cal Poly Mustangs | L | 43 - 68 |
2024 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. Ferguson
|
G | 2 | 29.0 | 18.5 | 2.0 | 2.0 | 0.5 | 0.0 | 6.0 | 15.5 | 1.5 | -3 | -0.4 | -0.9 | 38.7 | 66.7 | 75.0 | 0.0 | 56.5 | 54.8 |
A. De Jesus
|
F | 1 | 19.0 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 8.0 | 1.0 | - | - | - | 50.0 | 100.0 | 0 | - | 56.2 | 56.2 |
R. Harvey
|
G | 2 | 18.0 | 5.0 | 1.0 | 1.0 | 1.5 | 0.0 | 1.5 | 2.5 | 4.5 | -47 | -7.8 | -13.5 | 80.0 | 0 | 40.0 | -0.46 | 69.4 | 80.0 |
K. Spriggs
|
F | 2 | 24.0 | 5.0 | 3.0 | 0.5 | 0.0 | 0.5 | 1.5 | 5.5 | 2.0 | -19 | -3.2 | -3.3 | 27.3 | 0 | 40.0 | -0.13 | 32.5 | 27.3 |
L. Amundsen
|
F | 2 | 26.5 | 4.5 | 3.5 | 0.0 | 1.5 | 0.0 | 2.0 | 7.0 | 0.5 | -60 | -10.0 | -10.8 | 21.4 | 37.5 | 0 | -0.6 | 32.1 | 32.1 |
E. Adams
|
G | 2 | 22.5 | 3.0 | 1.0 | 1.5 | 2.0 | 1.0 | 2.0 | 7.0 | -0.5 | 18 | 2.2 | 2.9 | 14.3 | 0.0 | 100.0 | 0.33 | 20.2 | 14.3 |
K. Elsholz
|
G | 1 | 22.0 | 3.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 5.0 | -1.0 | -33 | -5.5 | -6.0 | 20.0 | 25.0 | 0 | -0.12 | 30.0 | 30.0 |
T. Li-Uperesa
|
F | 2 | 23.5 | 2.5 | 2.0 | 1.0 | 0.5 | 1.5 | 1.0 | 4.0 | 2.5 | 8 | 1.3 | 1.9 | 25.0 | 25.0 | 0 | 0.36 | 31.2 | 31.2 |
A. Nikishina
|
C | 1 | 20.0 | 2.0 | 3.0 | 1.0 | 0.0 | 2.0 | 2.0 | 6.0 | 0.0 | -30 | -5.0 | -10.6 | 16.7 | 0 | 0 | -0.32 | 16.7 | 16.7 |
O. Smith
|
F | 2 | 16.5 | 0.0 | 1.5 | 0.5 | 1.5 | 0.0 | 0.5 | 1.5 | 1.5 | -24 | -2.2 | -2.9 | 0.0 | 0.0 | 0 | -0.43 | 0.0 | 0.0 |
A. Lizama
|
F | 2 | 9.5 | 0.0 | 1.5 | 1.5 | 0.0 | 0.0 | 1.5 | 1.5 | 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