Sacramento State Hornets
2023 Team Stats (5 games)
63.4
PPG
56.0
Opp
+7.4
Margin
42.8%
FG%
33.0%
3P%
66.7%
FT%
37.2
RPG
10.2
APG
12.4
TO
72.3
Pace
Model Outputs
2022-2023
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 → | 1021 (#193) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1071 (#182) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.7 (#173) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.752 (#94) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | UTEP Miners | W | 63 - 50 |
| 2023-03-06 | vs | Idaho Vandals | W | 73 - 58 |
| 2023-03-07 | vs | Portland State Vikings | W | 60 - 42 |
| 2023-03-08 | @ | Northern Arizona Lumberjacks | W | 76 - 63 |
| 2023-03-18 | @ | UCLA Bruins | L | 45 - 67 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Natabou
|
F | 5 | 31.4 | 17.2 | 10.6 | 0.0 | 0.2 | 1.6 | 2.6 | 11.6 | 15.4 | - | - | - | 62.1 | 0 | 70.0 | - | 64.4 | 62.1 |
K. Dean
|
G | 5 | 35.2 | 16.0 | 7.6 | 4.6 | 1.2 | 0.2 | 3.6 | 17.2 | 8.8 | - | - | - | 32.6 | 17.9 | 68.0 | - | 41.2 | 36.6 |
J. Olivares
|
G | 4 | 36.8 | 11.8 | 6.8 | 1.5 | 1.2 | 0.0 | 0.5 | 7.0 | 13.8 | - | - | - | 53.6 | 60.0 | 61.1 | - | 65.4 | 64.3 |
M. Butcher
|
G | 1 | 26.0 | 10.0 | 6.0 | 2.0 | 1.0 | 2.0 | 1.0 | 7.0 | 13.0 | - | - | - | 57.1 | 50.0 | 0 | - | 71.4 | 71.4 |
K. Randhawa
|
G | 5 | 32.4 | 8.2 | 1.4 | 1.0 | 0.4 | 0.4 | 1.8 | 8.0 | 1.6 | - | - | - | 32.5 | 31.8 | 66.7 | - | 45.3 | 41.2 |
K. Peneueta
|
F | 5 | 37.2 | 8.0 | 5.4 | 2.2 | 0.8 | 1.6 | 1.0 | 5.6 | 11.4 | - | - | - | 46.4 | 46.2 | 100.0 | - | 69.3 | 67.9 |
S. Amusan
|
F | 4 | 18.2 | 2.8 | 1.2 | 0.5 | 0.2 | 0.2 | 0.5 | 3.8 | 0.8 | - | - | - | 26.7 | 27.3 | 0 | - | 36.7 | 36.7 |
B. Versteeg
|
G | 4 | 15.2 | 0.5 | 2.0 | 0.5 | 0.5 | 0.0 | 1.0 | 0.2 | 2.2 | - | - | - | 0.0 | 0 | 100.0 | - | 53.2 | 0.0 |
K. Edge
|
G | 2 | 5.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0 | 0.0 | - | 0.0 | 0.0 |
A. Muggeridge
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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