Southern Illinois Salukis
2023 Team Stats (3 games)
77.3
PPG
76.7
Opp
+0.6
Margin
44.7%
FG%
28.8%
3P%
67.2%
FT%
39.0
RPG
13.3
APG
16.7
TO
91.5
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 → | 815 (#371) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 822 (#383) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.6 (#288) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.316 (#242) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Lehigh Mountain Hawks | W | 87 - 81 |
| 2023-03-09 | vs | Indiana State Sycamores | W | 81 - 79 |
| 2023-03-10 | @ | Belmont Bruins | L | 64 - 70 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Jones
|
G | 3 | 34.3 | 13.7 | 4.3 | 5.3 | 3.7 | 0.0 | 2.3 | 17.0 | 7.7 | - | - | - | 27.5 | 23.1 | 71.4 | - | 35.9 | 30.4 |
L. Randle
|
F | 3 | 30.3 | 11.0 | 9.0 | 1.0 | 3.0 | 0.3 | 2.3 | 7.3 | 14.7 | - | - | - | 63.6 | 0 | 62.5 | - | 64.7 | 63.6 |
Q. Love
|
G | 3 | 31.0 | 9.0 | 1.3 | 2.0 | 2.0 | 0.0 | 0.7 | 5.0 | 8.7 | - | - | - | 60.0 | 62.5 | 100.0 | - | 80.5 | 76.7 |
T. Nard
|
F | 3 | 18.3 | 9.0 | 6.7 | 0.7 | 0.3 | 0.7 | 2.0 | 6.0 | 9.3 | - | - | - | 61.1 | 0 | 71.4 | - | 64.0 | 61.1 |
P. Taylor
|
C | 3 | 20.0 | 8.3 | 6.7 | 0.3 | 0.3 | 3.3 | 2.0 | 5.7 | 11.3 | - | - | - | 58.8 | 0 | 71.4 | - | 62.3 | 58.8 |
J. Mason
|
G | 3 | 15.0 | 7.7 | 2.7 | 2.7 | 3.7 | 0.3 | 2.3 | 5.7 | 9.0 | - | - | - | 52.9 | 25.0 | 80.0 | - | 59.9 | 55.9 |
A. Holmes
|
F | 3 | 14.3 | 6.7 | 1.3 | 0.0 | 0.0 | 0.0 | 0.3 | 6.3 | 1.3 | - | - | - | 42.1 | 27.3 | 100.0 | - | 51.4 | 50.0 |
T. Brown
|
G | 3 | 8.0 | 2.7 | 1.3 | 0.0 | 0.7 | 0.0 | 0.3 | 3.0 | 1.3 | - | - | - | 22.2 | 33.3 | 100.0 | - | 40.5 | 33.3 |
S. Prochaska
|
G | 2 | 8.0 | 1.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 2.0 | 0.5 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
Z. Belcher
|
F | 1 | 6.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Hughes
|
F | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 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