Southern Illinois Salukis
2022 Team Stats (6 games)
55.7
PPG
54.8
Opp
+0.9
Margin
40.4%
FG%
33.0%
3P%
75.9%
FT%
33.2
RPG
12.2
APG
15.0
TO
73.0
Pace
Model Outputs
2021-2022
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 → | 809 (#372) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 813 (#385) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.6 (#290) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.316 (#243) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-10 | @ | Tennessee Lady Volunteers | L | 49 - 59 |
| 2021-11-24 | vs | IU Indianapolis Jaguars | - | Preview |
| 2021-11-30 | @ | Southeast Missouri State Redhawks | W | 78 - 61 |
| 2021-12-23 | @ | Indiana Hoosiers | L | 37 - 70 |
| 2022-03-03 | @ | Loyola Chicago Ramblers | W | 51 - 28 |
| 2022-03-11 | vs | Indiana State Sycamores | W | 77 - 61 |
| 2022-03-12 | vs | Illinois State Redbirds | L | 42 - 50 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Silvey
|
G | 6 | 34.2 | 11.8 | 5.7 | 3.2 | 1.2 | 0.5 | 2.3 | 13.2 | 6.8 | - | - | - | 35.4 | 35.7 | 71.4 | 0.93 | 43.3 | 41.8 |
A. Brockmeyer
|
F | 6 | 32.3 | 11.8 | 8.5 | 1.8 | 1.0 | 0.8 | 1.8 | 9.8 | 12.3 | - | - | - | 47.5 | 28.6 | 78.6 | 0.66 | 54.5 | 50.8 |
G. Walker
|
F | 6 | 26.2 | 11.7 | 4.5 | 0.8 | 0.3 | 0.2 | 3.2 | 8.3 | 6.0 | - | - | - | 58.0 | 0 | 66.7 | 0.53 | 60.4 | 58.0 |
Q. Love
|
G | 6 | 31.8 | 6.2 | 1.5 | 1.5 | 2.3 | 0.0 | 1.8 | 6.2 | 3.5 | -11 | -0.4 | -4.9 | 35.1 | 33.3 | 100.0 | -0.01 | 46.7 | 41.9 |
C. Link
|
G | 6 | 23.5 | 4.7 | 1.8 | 2.7 | 1.2 | 0.0 | 1.3 | 4.3 | 4.7 | - | - | - | 42.3 | 42.9 | 0 | 1.27 | 53.8 | 53.8 |
P. McCallister
|
G | 6 | 19.0 | 4.3 | 1.2 | 0.8 | 0.0 | 0.2 | 1.2 | 5.5 | -0.2 | - | - | - | 27.3 | 26.3 | 100.0 | 0.9 | 37.9 | 34.8 |
L. Randle
|
F | 4 | 15.0 | 3.5 | 4.5 | 0.0 | 0.8 | 0.2 | 0.5 | 5.0 | 3.5 | 25 | 1.0 | 5.3 | 30.0 | 0.0 | 50.0 | 1.48 | 32.2 | 30.0 |
A. Keita
|
F | 1 | 9.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | -1.0 | - | - | - | 50.0 | 0 | 0 | 0.07 | 50.0 | 50.0 |
A. Katcher
|
F | 6 | 9.3 | 1.3 | 2.5 | 0.8 | 0.3 | 0.2 | 0.2 | 1.3 | 3.7 | - | - | - | 37.5 | 0 | 100.0 | 1.47 | 45.0 | 37.5 |
A. Potter
|
G | 3 | 5.3 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 1.3 | -0.7 | - | - | - | 25.0 | 50.0 | 0 | 0.29 | 37.5 | 37.5 |
Z. Belcher
|
F | 2 | 2.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
T. Brown
|
G | 5 | 8.2 | 0.4 | 1.2 | 0.4 | 0.4 | 0.2 | 0.8 | 1.0 | 0.8 | 55 | 3.4 | 17.1 | 20.0 | 0.0 | 0 | 1.04 | 20.0 | 20.0 |
S. Prochaska
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
P. Clubb
|
G | 3 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | -0.3 | - | - | - | 0 | 0 | 0 | -0.46 | 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