Bradley
2015 Team Stats (4 games)
48.3
PPG
62.4
Opp
-11.6
Margin
33.7%
FG%
24.6%
3P%
71.2%
FT%
29.8
RPG
8.0
APG
10.5
TO
66.7
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 → | 1495 (#67) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1277 (#158) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.8 (#91) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.055 (#103) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.104 (#101) | AdjNet -18.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.104 (#100) | AdjNet -18.5 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-19 | vs | Robert Morris Colonials | L | 61 - 68 |
| 2015-01-07 | @ | Wichita State Shockers | L | 43 - 63 |
| 2015-01-13 | vs | Northern Iowa Panthers | L | 52 - 63 |
| 2015-02-04 | vs | Wichita State Shockers | L | 59 - 62 |
| 2015-02-21 | @ | Northern Iowa Panthers | L | 39 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W. Jones
|
G | 3 | 23.0 | 12.0 | 3.0 | 1.7 | 2.3 | 0.7 | 1.7 | 10.7 | 7.3 | - | - | - | 28.1 | 26.3 | 76.5 | - | 45.6 | 35.9 |
A. Barnes
|
F | 4 | 34.5 | 10.5 | 6.8 | 1.0 | 1.0 | 0.0 | 1.8 | 9.0 | 8.5 | 28 | 3.5 | 4.3 | 44.4 | 42.1 | 100.0 | 0.84 | 56.9 | 55.6 |
K. Bell
|
G | 4 | 27.8 | 9.2 | 3.2 | 2.2 | 0.2 | 0.2 | 2.0 | 7.2 | 6.0 | - | - | - | 41.4 | 46.2 | 70.0 | - | 55.4 | 51.7 |
T. Sutherland
|
G | 4 | 36.2 | 9.2 | 3.2 | 3.0 | 1.0 | 0.0 | 2.0 | 11.8 | 2.8 | - | - | - | 29.8 | 22.2 | 50.0 | - | 34.8 | 31.9 |
J. Cunningham
|
F | 5 | 28.4 | 6.6 | 5.4 | 0.6 | 0.6 | 0.2 | 1.2 | 7.4 | 4.8 | - | - | - | 29.7 | 0.0 | 78.6 | - | 38.2 | 29.7 |
O. Grier
|
G | 5 | 19.8 | 4.4 | 1.4 | 0.6 | 0.0 | 0.0 | 0.6 | 5.0 | 0.8 | - | - | - | 28.0 | 25.0 | 71.4 | - | 39.2 | 34.0 |
X. Taylor
|
F | 5 | 12.8 | 3.6 | 1.4 | 0.0 | 0.4 | 0.0 | 0.4 | 2.2 | 2.8 | - | - | - | 54.5 | 0 | 66.7 | - | 60.2 | 54.5 |
D. Thomas
|
F | 5 | 15.0 | 3.2 | 2.6 | 1.4 | 0.2 | 0.2 | 1.8 | 2.6 | 3.2 | 20 | 2.5 | 4.6 | 38.5 | 33.3 | 66.7 | 0.98 | 51.2 | 46.2 |
N. Wells
|
C | 5 | 9.0 | 1.6 | 0.4 | 0.2 | 0.2 | 0.2 | 0.6 | 1.6 | 0.4 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
J. Morgan
|
C | 2 | 17.0 | 1.0 | 2.0 | 0.5 | 1.0 | 0.0 | 0.5 | 1.0 | 3.0 | - | - | - | 50.0 | 0 | 0.0 | 0.16 | 26.6 | 50.0 |
M. Shaw
|
F | 5 | 13.8 | 0.6 | 2.8 | 0.0 | 0.8 | 0.4 | 1.2 | 1.8 | 1.6 | - | - | - | 11.1 | 0 | 33.3 | - | 14.5 | 11.1 |
A. Fields
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | -2.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
J. Kane
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 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