Illinois Fighting Illini
2026 Team Stats (30 games)
76.1
PPG
66.7
Opp
+9.4
Margin
44.8%
FG%
35.1%
3P%
81.0%
FT%
35.3
RPG
15.3
APG
12.6
TO
82.1
Pace
78.7
AdjO
55.1
AdjD
#30
Rank
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 → | 1174 (#76) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1276 (#39) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1072 (#97) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.4 (#30) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +34.7 (#28) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.855 (#48) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.869 (#59) | NetEff +15.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.983 (#29) | AdjNet +34.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.985 (#29) | AdjNet +36.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.895 (#30) | AdjO 78.7 | AdjD 55.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.759 (#35) | AdjO 72.8 | AdjD 60.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.956 (#29) | 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 → | 0.938 (#31) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1237 (#53) | RD 112 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Wallace
|
F | 30 | 36.0 | 19.1 | 6.0 | 1.8 | 0.7 | 0.4 | 2.1 | 14.5 | 11.3 | 94 | 3.9 | 4.7 | 47.7 | 34.3 | 85.9 | 0.24 | 58.1 | 53.0 |
C. Parchment
|
F | 30 | 29.2 | 14.0 | 8.2 | 1.5 | 1.7 | 0.5 | 1.9 | 9.6 | 14.5 | 132 | 5.5 | 8.0 | 51.2 | 40.3 | 80.7 | 4.38 | 62.0 | 56.6 |
G. Dolan
|
G | 14 | 28.4 | 11.5 | 3.7 | 2.9 | 1.4 | 0.4 | 1.4 | 11.3 | 7.1 | 123 | 6.8 | 9.1 | 36.7 | 22.2 | 87.5 | 2.09 | 45.8 | 39.9 |
M. Webber
|
G | 30 | 25.9 | 10.6 | 2.5 | 1.4 | 0.6 | 0.2 | 1.2 | 9.3 | 4.9 | 123 | 5.1 | 8.7 | 44.2 | 40.5 | 77.8 | 0.33 | 54.3 | 52.3 |
D. Jackson
|
G | 30 | 31.1 | 10.0 | 4.1 | 5.0 | 1.5 | 0.2 | 2.6 | 7.7 | 10.5 | 129 | 5.2 | 6.8 | 41.1 | 25.0 | 81.5 | 2.01 | 52.4 | 42.9 |
J. Brown-Hagger
|
G | 30 | 24.6 | 6.7 | 2.3 | 1.8 | 1.0 | 0.1 | 1.5 | 5.8 | 4.6 | 61 | 2.5 | 4.7 | 43.7 | 34.0 | 70.5 | 0.1 | 51.7 | 48.6 |
A. Guyton
|
G | 28 | 20.8 | 6.1 | 2.0 | 2.1 | 0.7 | 0.0 | 1.1 | 5.9 | 3.9 | 49 | 2.5 | 6.4 | 37.6 | 38.6 | 84.0 | 0.85 | 48.9 | 45.8 |
L. Vasconcelos
|
C | 30 | 11.6 | 3.3 | 3.0 | 0.3 | 0.2 | 0.4 | 0.9 | 2.4 | 3.8 | 110 | 4.6 | 14.3 | 53.4 | 0 | 71.4 | 2.03 | 57.4 | 53.4 |
I. Noya Catoira
|
F | 15 | 5.8 | 1.3 | 1.2 | 0.3 | 0.3 | 0.2 | 0.3 | 0.9 | 2.1 | 20 | 1.7 | 10.0 | 57.1 | 0.0 | 50.0 | -0.5 | 57.1 | 57.1 |
M. Zenere
|
G | 6 | 3.5 | 0.7 | 0.3 | 0.2 | 0.0 | 0.0 | 0.3 | 1.2 | -0.3 | -1 | -0.2 | -3.0 | 28.6 | 0.0 | 0 | -0.75 | 28.6 | 28.6 |
N. Benson
|
F | 19 | 3.9 | 0.7 | 1.2 | 0.1 | 0.0 | 0.2 | 0.4 | 0.5 | 1.3 | -11 | -0.8 | -11.2 | 70.0 | 0 | 0 | -1.75 | 70.0 | 70.0 |
G. Segura
|
F | 7 | 3.0 | 0.4 | 0.7 | 0.0 | 0.1 | 0.0 | 0.0 | 0.6 | 0.7 | -3 | -0.6 | -9.1 | 25.0 | 0 | 100.0 | -0.86 | 33.8 | 25.0 |
H. Smith
|
C | 18 | 3.6 | 0.1 | 0.5 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | 0.3 | 33 | 4.7 | 15.3 | 0.0 | 0 | 100.0 | 1.16 | 17.0 | 0.0 |
Erica Finney
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Manuella Alves
|
F | 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