Illinois Fighting Illini
2022 Team Stats (4 games)
64.5
PPG
88.2
Opp
-23.7
Margin
39.3%
FG%
34.4%
3P%
67.1%
FT%
33.5
RPG
12.8
APG
15.5
TO
83.7
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 → | 1266 (#35) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1335 (#24) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.7 (#36) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.852 (#54) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-30 | vs | Maryland Terrapins | - | Preview |
| 2022-01-23 | @ | Iowa Hawkeyes | L | 56 - 82 |
| 2022-01-27 | @ | Indiana Hoosiers | - | Preview |
| 2022-02-03 | vs | Michigan Wolverines | - | Preview |
| 2022-02-09 | vs | Indiana Hoosiers | L | 61 - 93 |
| 2022-02-14 | vs | Ohio State Buckeyes | L | 67 - 86 |
| 2022-03-03 | @ | Nebraska Cornhuskers | L | 74 - 92 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Nye
|
- | 4 | 30.5 | 13.2 | 2.0 | 1.5 | 0.5 | 0.8 | 1.0 | 10.5 | 6.5 | 26 | 1.5 | 12.6 | 47.6 | 33.3 | 44.4 | 1.1 | 57.7 | 58.3 |
A. McKenzie
|
G | 4 | 28.2 | 12.5 | 4.5 | 1.2 | 0.5 | 0.0 | 2.0 | 13.0 | 3.8 | 11 | 0.6 | 3.3 | 38.5 | 0.0 | 62.5 | 0.96 | 42.3 | 38.5 |
J. Oden
|
G | 4 | 21.0 | 11.2 | 1.5 | 3.8 | 0.8 | 0.0 | 1.5 | 6.2 | 9.5 | 6 | 0.4 | 1.9 | 56.0 | 80.0 | 86.7 | 0.81 | 71.2 | 64.0 |
K. Bostic
|
F | 4 | 28.2 | 7.5 | 10.2 | 1.8 | 1.0 | 1.0 | 2.2 | 6.0 | 13.2 | 23 | 1.4 | 10.2 | 62.5 | 0.0 | 0 | 0.29 | 62.5 | 62.5 |
S. Anastasieska
|
G | 4 | 16.8 | 4.8 | 2.0 | 1.8 | 0.8 | 0.2 | 2.2 | 5.2 | 2.0 | - | - | - | 33.3 | 28.6 | 50.0 | 0.45 | 40.2 | 38.1 |
G. Lopes
|
F | 4 | 13.0 | 3.8 | 2.5 | 0.8 | 0.8 | 1.0 | 1.2 | 2.0 | 5.5 | - | - | - | 62.5 | 0 | 83.3 | 0.9 | 70.5 | 62.5 |
J. Peebles
|
G | 4 | 22.8 | 3.0 | 1.2 | 1.0 | 0.8 | 0.0 | 1.5 | 5.0 | -0.5 | -49 | -3.3 | -20.3 | 20.0 | 42.9 | 50.0 | 0.25 | 28.7 | 27.5 |
E. Porter
|
F | 3 | 9.3 | 2.7 | 1.3 | 0.0 | 0.0 | 0.7 | 0.7 | 2.3 | 1.7 | 56 | 5.6 | 81.2 | 28.6 | 0 | 66.7 | 0.04 | 41.5 | 28.6 |
D. Brown
|
PG | 4 | 18.0 | 2.5 | 2.0 | 1.0 | 0.2 | 0.0 | 1.5 | 6.8 | -2.5 | -23 | -1.4 | -7.7 | 11.1 | 0.0 | 100.0 | 0.44 | 17.4 | 11.1 |
S. Amusan
|
F | 4 | 7.0 | 2.5 | 1.8 | 0.0 | 0.0 | 0.2 | 0.2 | 2.2 | 2.0 | -12 | -1.5 | -14.4 | 33.3 | 37.5 | 50.0 | -0.0 | 50.6 | 50.0 |
E. Rubin
|
C | 4 | 7.5 | 1.5 | 0.8 | 0.0 | 0.2 | 0.2 | 1.0 | 1.8 | 0.0 | - | - | - | 28.6 | 0 | 50.0 | 0.59 | 34.2 | 28.6 |
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