Southern Illinois Salukis
2026 Team Stats (26 games)
67.7
PPG
70.5
Opp
-2.8
Margin
41.4%
FG%
30.3%
3P%
68.4%
FT%
38.3
RPG
13.0
APG
14.6
TO
84.9
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 900 (#530) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.9 (#288) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.387 (#474) | AdjO 61.8 | AdjD 66.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.487 (#301) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.455 (#306) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 823 (#528) | RD 134 | GP 26 |
2026 Schedule & Results
2026 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. Kraus
|
G | 26 | 33.8 | 15.9 | 2.5 | 1.7 | 1.0 | 0.1 | 1.8 | 13.6 | 5.7 | -100 | -5.0 | -5.4 | 41.2 | 32.0 | 89.9 | -2.64 | 51.9 | 45.8 |
I. Green
|
F | 26 | 26.3 | 14.1 | 9.0 | 0.4 | 1.1 | 0.6 | 1.8 | 12.5 | 10.8 | -107 | -5.3 | -8.3 | 47.9 | 25.0 | 65.4 | 0.36 | 50.6 | 48.0 |
K. Cooper
|
G | 26 | 33.2 | 10.7 | 3.1 | 2.1 | 1.6 | 0.6 | 1.7 | 10.7 | 5.7 | -100 | -5.0 | -5.6 | 37.1 | 33.0 | 65.4 | 2.15 | 46.2 | 43.9 |
J. Thompson
|
G | 26 | 26.0 | 10.1 | 7.2 | 1.8 | 1.4 | 0.1 | 1.9 | 8.4 | 10.3 | 81 | 4.0 | 9.5 | 48.4 | 33.3 | 72.2 | 2.96 | 54.0 | 50.9 |
T. Nelson
|
G | 26 | 30.3 | 5.3 | 4.0 | 4.3 | 1.4 | 0.4 | 3.1 | 4.7 | 7.6 | -58 | -2.9 | -4.0 | 38.5 | 0.0 | 63.2 | 0.36 | 45.1 | 38.5 |
K. Allen
|
G | 25 | 12.8 | 4.1 | 2.8 | 0.6 | 0.7 | 0.2 | 1.2 | 4.3 | 3.0 | -16 | -0.8 | -2.9 | 35.2 | 38.1 | 50.0 | 1.09 | 41.3 | 38.9 |
K. Davis
|
G | 23 | 19.5 | 3.7 | 1.5 | 2.0 | 0.3 | 0.0 | 1.2 | 4.2 | 2.1 | 19 | 1.7 | 5.1 | 32.0 | 18.2 | 71.4 | 1.34 | 39.3 | 34.0 |
C. Morales
|
C | 22 | 6.5 | 2.0 | 1.3 | 0.0 | 0.1 | 0.1 | 0.6 | 1.5 | 1.5 | - | - | - | 56.2 | 0 | 46.7 | - | 55.7 | 56.2 |
H. Malkawi
|
G | 19 | 5.3 | 1.2 | 0.8 | 0.2 | 0.1 | 0.0 | 0.3 | 1.4 | 0.5 | -29 | -2.1 | -15.6 | 26.9 | 18.2 | 66.7 | 1.23 | 38.4 | 34.6 |
M. Gaines
|
C | 23 | 6.3 | 1.1 | 1.9 | 0.1 | 0.0 | 0.3 | 0.4 | 1.7 | 1.3 | -52 | -2.9 | -14.5 | 26.3 | 0 | 35.3 | -2.38 | 28.6 | 26.3 |
T. Agatha Agba
|
G | 13 | 3.6 | 0.7 | 0.4 | 0.2 | 0.4 | 0.0 | 0.7 | 0.3 | 0.6 | 12 | 1.0 | 9.1 | 100.0 | 0 | 50.0 | -0.11 | 92.2 | 100.0 |
A. Samuel
|
C | 9 | 3.6 | 0.6 | 1.1 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | 0.7 | 10 | 1.1 | 7.8 | 33.3 | 0 | 50.0 | 1.13 | 36.3 | 33.3 |
K. Ngoyi
|
G | 21 | 3.7 | 0.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 0.6 | -30 | -1.9 | -26.7 | 30.0 | 0.0 | 71.4 | -1.91 | 42.0 | 30.0 |
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