Louisville
2015 Team Stats (30 games)
68.1
PPG
61.4
Opp
+6.7
Margin
43.0%
FG%
31.0%
3P%
68.4%
FT%
35.7
RPG
11.6
APG
10.6
TO
76.2
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 → | 1516 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1603 (#14) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.9 (#42) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.714 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.614 (#16) | NetEff +4.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.891 (#14) | AdjNet +18.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.895 (#14) | AdjNet +18.6 |
2015 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Rozier
|
G | 30 | 35.6 | 17.4 | 5.4 | 3.1 | 1.9 | 0.2 | 2.2 | 14.9 | 10.9 | - | - | - | 40.4 | 30.5 | 82.3 | - | 51.0 | 44.8 |
M. Harrell
|
F | 29 | 35.3 | 15.0 | 8.8 | 1.5 | 0.9 | 1.2 | 1.9 | 10.7 | 14.8 | - | - | - | 55.0 | 21.4 | 60.0 | - | 58.1 | 56.0 |
C. Jones
|
G | 20 | 31.8 | 13.9 | 3.5 | 3.9 | 2.0 | 0.1 | 2.2 | 11.3 | 9.9 | -1 | -0.1 | -0.3 | 39.6 | 34.5 | 74.2 | 0.16 | 52.1 | 46.3 |
W. Blackshear
|
G | 30 | 31.2 | 11.4 | 4.0 | 1.1 | 1.0 | 0.6 | 1.0 | 9.1 | 7.8 | - | - | - | 39.8 | 34.0 | 76.8 | - | 54.0 | 48.9 |
Q. Snider
|
G | 30 | 17.6 | 4.2 | 1.6 | 1.4 | 0.3 | 0.0 | 0.8 | 4.7 | 2.1 | - | - | - | 33.3 | 27.9 | 51.6 | - | 41.1 | 39.4 |
C. Onuaku
|
- | 29 | 18.3 | 3.0 | 4.5 | 0.6 | 0.7 | 0.9 | 1.1 | 2.0 | 6.6 | - | - | - | 68.4 | 0 | 47.6 | - | 66.4 | 68.4 |
M. Mathiang
|
F | 29 | 18.6 | 2.7 | 4.7 | 0.4 | 0.6 | 1.3 | 0.6 | 2.4 | 6.7 | - | - | - | 39.1 | 0 | 51.1 | - | 43.4 | 39.1 |
A. Gill
|
G | 25 | 8.7 | 2.7 | 0.7 | 0.6 | 0.3 | 0.1 | 0.5 | 2.6 | 1.3 | - | - | - | 42.2 | 32.3 | 33.3 | - | 49.1 | 50.0 |
S. Aaron
|
G | 23 | 7.2 | 1.3 | 0.7 | 0.2 | 0.1 | 0.1 | 0.3 | 1.8 | 0.3 | - | - | - | 26.2 | 21.7 | 40.0 | - | 32.8 | 32.1 |
D. Levitch
|
G | 17 | 5.1 | 1.2 | 0.4 | 0.4 | 0.2 | 0.0 | 0.3 | 0.8 | 1.1 | - | - | - | 30.8 | 44.4 | 69.2 | - | 56.1 | 46.2 |
J. Johnson
|
F | 18 | 4.4 | 1.2 | 1.1 | 0.1 | 0.1 | 0.2 | 0.2 | 1.2 | 1.3 | 34 | 3.8 | 9.0 | 47.6 | 0 | 50.0 | 1.19 | 48.0 | 47.6 |
A. Mahmoud
|
F | 26 | 7.2 | 1.2 | 1.2 | 0.2 | 0.2 | 0.7 | 0.4 | 0.8 | 2.2 | - | - | - | 60.0 | 0 | 100.0 | - | 66.3 | 60.0 |
M. Stockman
|
C | 3 | 5.7 | 0.7 | 2.3 | 0.0 | 0.7 | 1.3 | 1.0 | 1.0 | 3.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
D. Avare
|
G | 7 | 2.4 | 0.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 0.1 | - | - | - | 25.0 | 0.0 | 66.7 | - | 37.6 | 25.0 |
A. Agau
|
F | 2 | 4.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
T. Gilbert
|
G | 3 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | -1.3 | - | - | - | 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