Illinois St.
Also known as: Illinois St.
Program History
Model Outputs
2025-2026
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 → | 1023 (#289) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1052 (#253) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#480) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.9 (#132) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#50) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.985 (#60) | AdjNet +35.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.986 (#61) | AdjNet +35.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.903 (#94) | AdjO 85.6 | AdjD 61.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.662 (#132) | AdjO 79.8 | AdjD 72.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.811 (#89) | 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 → | 0.780 (#98) | Blend of Elo, BT, Margin, PythLog, PtsOD |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jack Daugherty | - | 1 | 23.7 | 16.0 | 8.0 | 1.0 | 1.0 | 0.0 | 0.0 | 10.0 | 16.0 | - | - | - | 50.0 | 37.5 | 75.0 | - | 68.0 | 65.0 |
| Cameron Barnes | - | 1 | 21.6 | 13.0 | 8.0 | 3.0 | 1.0 | 3.0 | 3.0 | 6.0 | 19.0 | - | - | - | 100.0 | 100.0 | 0 | - | 108.3 | 108.3 |
| Johnny Kinziger | - | 1 | 22.3 | 10.0 | 1.0 | 2.0 | 2.0 | 0.0 | 0.0 | 8.0 | 7.0 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
| Brandon Lieb | - | 1 | 15.8 | 10.0 | 10.0 | 1.0 | 0.0 | 0.0 | 1.0 | 10.0 | 10.0 | - | - | - | 50.0 | 0 | 0.0 | - | 42.5 | 50.0 |
| Ty'Reek Coleman | - | 1 | 22.1 | 9.0 | 1.0 | 3.0 | 0.0 | 0.0 | 1.0 | 5.0 | 7.0 | - | - | - | 80.0 | 50.0 | 0 | - | 90.0 | 90.0 |
| Mason Klabo | - | 1 | 19.4 | 8.0 | 3.0 | 2.0 | 1.0 | 0.0 | 1.0 | 5.0 | 8.0 | - | - | - | 60.0 | 66.7 | 0 | - | 80.0 | 80.0 |
| Landon Wolf | - | 1 | 16.3 | 7.0 | 9.0 | 1.0 | 2.0 | 1.0 | 1.0 | 6.0 | 13.0 | - | - | - | 50.0 | 50.0 | 0 | - | 58.3 | 58.3 |
| Ty Pence | - | 1 | 19.9 | 6.0 | 4.0 | 1.0 | 0.0 | 1.0 | 1.0 | 4.0 | 7.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Boden Skunberg | - | 1 | 16.6 | 6.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 7.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
| Landon Moore | - | 1 | 18.0 | 5.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 4.0 | 4.0 | 22 | 1.3 | 16.2 | 50.0 | 33.3 | 0.0 | -2.22 | 47.0 | 62.5 |
| Ty Blake | - | 1 | 4.3 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
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