Illinois Fighting Illini
2023 Team Stats (28 games)
73.9
PPG
67.1
Opp
+6.8
Margin
45.0%
FG%
29.8%
3P%
68.3%
FT%
37.5
RPG
11.8
APG
12.6
TO
80.3
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 → | 1546 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1489 (#9) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +45.1 (#7) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.572 (#40) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.725 (#50) | NetEff +8.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.763 (#23) | AdjNet +10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.766 (#23) | AdjNet +10.3 |
2023 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Shannon Jr.
|
- | 27 | 31.7 | 17.3 | 4.5 | 2.8 | 1.1 | 0.5 | 2.5 | 11.1 | 12.7 | 58 | 5.8 | 7.5 | 44.5 | 27.7 | 80.3 | 1.71 | 61.2 | 50.0 |
M. Mayer
|
- | 29 | 26.8 | 12.8 | 5.6 | 1.0 | 0.8 | 1.2 | 1.5 | 9.9 | 10.0 | - | - | - | 40.4 | 32.6 | 74.0 | - | 55.9 | 50.7 |
C. Hawkins
|
- | 29 | 32.3 | 10.0 | 6.3 | 2.8 | 1.1 | 1.0 | 2.3 | 8.3 | 10.7 | 117 | 10.6 | 15.1 | 43.2 | 27.6 | 63.2 | 2.06 | 54.7 | 49.8 |
J. Epps
|
- | 26 | 24.4 | 9.4 | 1.7 | 1.5 | 0.7 | 0.2 | 1.4 | 8.8 | 3.2 | 1 | 0.1 | 0.1 | 41.2 | 28.8 | 76.5 | 0.86 | 50.2 | 47.8 |
D. Dainja
|
F | 29 | 20.7 | 9.2 | 5.6 | 0.5 | 0.6 | 1.2 | 1.4 | 6.1 | 9.6 | - | - | - | 63.1 | 0 | 51.9 | - | 63.1 | 63.1 |
S. Clark
|
- | 9 | 24.0 | 7.3 | 3.3 | 2.3 | 0.4 | 0.2 | 1.9 | 5.2 | 6.6 | 8 | 1.3 | 2.0 | 48.9 | 39.3 | 64.3 | 0.42 | 62.1 | 60.6 |
R. Melendez
|
F | 28 | 21.1 | 6.0 | 3.7 | 1.0 | 0.7 | 0.4 | 0.8 | 4.9 | 6.1 | - | - | - | 38.4 | 25.4 | 80.6 | - | 54.3 | 44.6 |
L. Goode
|
- | 10 | 13.8 | 4.0 | 1.6 | 0.4 | 0.5 | 0.4 | 0.2 | 3.1 | 3.6 | - | - | - | 48.4 | 42.1 | 100.0 | - | 62.7 | 61.3 |
Ty Rodgers
|
- | 29 | 18.5 | 3.6 | 4.2 | 1.1 | 0.7 | 0.2 | 0.8 | 2.9 | 6.1 | - | - | - | 54.2 | 0 | 37.9 | - | 54.8 | 54.2 |
S. Harris
|
G | 29 | 14.4 | 3.3 | 2.1 | 0.8 | 0.9 | 0.2 | 0.7 | 3.6 | 3.1 | -37 | -2.8 | -6.0 | 40.8 | 30.6 | 15.4 | 0.49 | 44.6 | 46.1 |
B. Lieb
|
- | 14 | 3.5 | 0.9 | 0.9 | 0.1 | 0.0 | 0.3 | 0.3 | 0.8 | 1.1 | 23 | 2.3 | 8.1 | 54.5 | 0 | 20.0 | 0.67 | 49.2 | 54.5 |
P. Warden
|
- | 9 | 1.6 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.4 | -0.3 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
C. Serven
|
F | 4 | 4.5 | 0.0 | 0.8 | 0.0 | 0.2 | 0.0 | 0.2 | 0.2 | 0.5 | -41 | -3.4 | -6.9 | 0.0 | 0.0 | 0 | 0.57 | 0.0 | 0.0 |
AJ Redd
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
N. Moretti
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 70 | 6.4 | 12.2 | - | - | - | 1.59 | - | - |
Z. Perrin
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 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