Illinois Fighting Illini
2015 Team Stats (6 games)
64.5
PPG
67.3
Opp
-3.7
Margin
41.2%
FG%
34.0%
3P%
82.6%
FT%
32.2
RPG
8.5
APG
12.3
TO
73.3
Pace
Model Outputs
2014-2015
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 → | 1805 (#12) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1494 (#55) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.6 (#21) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.259 (#63) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.290 (#84) | AdjNet -7.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.293 (#83) | AdjNet -7.6 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-27 | vs | Indiana State Sycamores | W | 88 - 62 |
| 2014-12-06 | vs | American University Eagles | W | 70 - 55 |
| 2015-01-03 | @ | Ohio State Buckeyes | L | 61 - 77 |
| 2015-01-07 | vs | Maryland Terrapins | W | 64 - 57 |
| 2015-02-15 | @ | Wisconsin Badgers | L | 49 - 68 |
| 2015-03-12 | vs | Michigan Wolverines | L | 55 - 73 |
| 2015-03-17 | vs | Alabama Crimson Tide | L | 58 - 79 |
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Hill
|
G | 7 | 30.6 | 16.6 | 4.6 | 1.0 | 0.7 | 0.1 | 1.6 | 8.9 | 12.6 | 26 | 2.6 | 15.0 | 46.8 | 47.4 | 87.1 | 0.58 | 76.7 | 54.0 |
R. Rice
|
G | 6 | 30.7 | 13.8 | 5.7 | 1.3 | 1.8 | 0.3 | 1.3 | 8.7 | 13.0 | - | - | - | 42.3 | 33.3 | 87.0 | - | 66.8 | 49.0 |
K. Nunn
|
G | 7 | 28.1 | 8.3 | 3.9 | 0.9 | 1.6 | 0.1 | 1.9 | 7.1 | 5.7 | - | - | - | 34.0 | 20.0 | 78.6 | - | 51.6 | 37.0 |
N. Egwu
|
F | 7 | 30.6 | 7.3 | 6.4 | 0.4 | 0.6 | 1.9 | 1.4 | 4.7 | 10.4 | - | - | - | 51.5 | 50.0 | 77.8 | - | 69.0 | 56.1 |
A. Cosby
|
G | 4 | 26.2 | 6.5 | 4.2 | 1.5 | 0.2 | 0.0 | 1.8 | 8.2 | 2.5 | - | - | - | 24.2 | 30.4 | 75.0 | - | 37.4 | 34.8 |
J. Tate
|
G | 7 | 19.6 | 4.3 | 0.1 | 1.9 | 0.7 | 0.0 | 1.7 | 2.1 | 3.1 | - | - | - | 60.0 | 50.0 | 78.6 | - | 70.9 | 63.3 |
A. Starks
|
G | 7 | 22.1 | 3.7 | 1.7 | 2.3 | 1.1 | 0.3 | 1.1 | 4.4 | 3.6 | - | - | - | 22.6 | 21.4 | 100.0 | - | 39.7 | 27.4 |
L. Black
|
F | 7 | 12.4 | 2.9 | 3.0 | 0.3 | 0.3 | 0.0 | 1.4 | 2.6 | 2.4 | - | - | - | 55.6 | 0 | 0.0 | - | 53.0 | 55.6 |
A. Colbert
|
F | 5 | 9.2 | 2.8 | 2.2 | 0.0 | 0.2 | 0.0 | 0.2 | 1.6 | 3.4 | - | - | - | 62.5 | 100.0 | 75.0 | - | 71.7 | 68.8 |
M. Morgan
|
C | 6 | 8.0 | 2.7 | 1.7 | 0.0 | 0.0 | 0.2 | 0.3 | 2.3 | 1.8 | - | - | - | 42.9 | 0 | 100.0 | - | 53.8 | 42.9 |
M. La Tulip
|
G | 4 | 1.8 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | - | - | - | 50.0 | 50.0 | 100.0 | - | 86.8 | 75.0 |
C. Liss
|
F | 4 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
R. Schmidt
|
G | 2 | 1.0 | 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
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