Southern Illinois Salukis
2024 Team Stats (1 games)
54.0
PPG
66.0
Opp
-12.0
Margin
39.2%
FG%
23.5%
3P%
62.5%
FT%
24.0
RPG
9.0
APG
23.0
TO
81.0
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 → | 858 (#317) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 830 (#332) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.9 (#300) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.316 (#244) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.005 (#107) | AdjNet -44.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.005 (#107) | AdjNet -45.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-03-14 | vs | Indiana State Sycamores | L | 54 - 66 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Q. Love
|
G | 1 | 38.0 | 15.0 | 2.0 | 4.0 | 5.0 | 0.0 | 5.0 | 13.0 | 8.0 | -35 | -4.4 | -3.8 | 38.5 | 0.0 | 100.0 | -0.34 | 49.3 | 38.5 |
P. Clubb
|
G | 1 | 28.0 | 12.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 6.0 | 9.0 | -83 | -10.4 | -12.0 | 66.7 | 66.7 | 0 | -0.71 | 100.0 | 100.0 |
J. Mason
|
G | 1 | 33.0 | 11.0 | 5.0 | 4.0 | 4.0 | 0.0 | 5.0 | 13.0 | 6.0 | -14 | -2.0 | -2.4 | 38.5 | 0.0 | 100.0 | -0.28 | 40.9 | 38.5 |
L. Randle
|
F | 1 | 20.0 | 6.0 | 4.0 | 0.0 | 1.0 | 1.0 | 4.0 | 8.0 | 0.0 | -27 | -4.5 | -4.5 | 25.0 | 0 | 50.0 | 0.01 | 30.7 | 25.0 |
A. Katcher
|
F | 1 | 21.0 | 4.0 | 3.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 5.0 | -20 | -2.5 | -3.0 | 100.0 | 0 | 0.0 | -0.19 | 69.4 | 100.0 |
S. Prochaska
|
G | 1 | 28.0 | 3.0 | 2.0 | 0.0 | 1.0 | 2.0 | 3.0 | 5.0 | 0.0 | -16 | -2.0 | -3.4 | 20.0 | 0.0 | 50.0 | -0.26 | 25.5 | 20.0 |
M. Saracco
|
G | 1 | 14.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 0.0 | -44 | -5.5 | -14.8 | 33.3 | 0.0 | 0 | -0.61 | 33.3 | 33.3 |
T. Nelson
|
G | 1 | 18.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 0.0 | 68 | 6.2 | 6.3 | 0.0 | 0 | 50.0 | 0.81 | 26.6 | 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