Bradley
2014 Team Stats (5 games)
59.4
PPG
65.0
Opp
-5.6
Margin
42.1%
FG%
36.1%
3P%
62.2%
FT%
31.2
RPG
9.0
APG
10.2
TO
70.6
Pace
Model Outputs
2013-2014
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 → | 1508 (#66) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1257 (#181) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.4 (#94) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.096 (#102) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.250 (#90) | AdjNet -9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.250 (#90) | AdjNet -9.5 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-22 | @ | Arizona State Sun Devils | L | 58 - 70 |
| 2013-11-30 | vs | UT Rio Grande Valley Vaqueros | W | 74 - 54 |
| 2014-01-14 | @ | Wichita State Shockers | L | 50 - 72 |
| 2014-01-17 | vs | Southern Illinois Salukis | W | 66 - 60 |
| 2014-02-25 | vs | Wichita State Shockers | L | 49 - 69 |
2014 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. Lemon Jr.
|
G | 5 | 35.6 | 18.4 | 2.8 | 3.8 | 2.0 | 0.0 | 2.2 | 16.8 | 8.0 | 110 | 7.9 | 15.0 | 42.9 | 33.3 | 64.0 | 2.08 | 48.4 | 45.2 |
T. Pickett
|
F | 5 | 31.2 | 12.2 | 7.4 | 1.0 | 1.0 | 0.4 | 2.0 | 12.6 | 7.4 | - | - | - | 41.3 | 28.6 | 100.0 | - | 46.2 | 42.9 |
O. Grier
|
G | 5 | 22.6 | 8.0 | 2.6 | 0.6 | 0.6 | 0.0 | 1.0 | 7.2 | 3.6 | - | - | - | 30.6 | 30.0 | 80.0 | - | 46.9 | 38.9 |
A. Barnes
|
F | 5 | 30.6 | 8.0 | 4.2 | 0.8 | 0.4 | 0.4 | 0.8 | 5.8 | 7.2 | 28 | 3.5 | 4.3 | 58.6 | 45.5 | 33.3 | 0.84 | 66.0 | 67.2 |
K. Bell
|
G | 5 | 18.0 | 3.8 | 1.4 | 1.2 | 0.6 | 0.2 | 2.2 | 3.0 | 2.0 | - | - | - | 46.7 | 40.0 | 75.0 | - | 56.7 | 53.3 |
M. Alwan
|
G | 5 | 9.0 | 3.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.2 | 1.8 | 2.4 | - | - | - | 66.7 | 75.0 | 100.0 | - | 84.7 | 83.3 |
J. Prosser
|
C | 4 | 16.8 | 2.5 | 2.2 | 0.5 | 0.0 | 0.5 | 0.2 | 2.2 | 3.2 | - | - | - | 33.3 | 0 | 66.7 | - | 43.0 | 33.3 |
X. Taylor
|
F | 5 | 13.6 | 2.0 | 1.2 | 0.2 | 0.4 | 0.4 | 0.4 | 1.6 | 2.2 | - | - | - | 37.5 | 0 | 40.0 | - | 40.3 | 37.5 |
C. Blake
|
F | 5 | 15.0 | 0.6 | 4.0 | 0.2 | 0.4 | 1.0 | 0.8 | 1.4 | 4.0 | - | - | - | 14.3 | 0 | 25.0 | - | 17.1 | 14.3 |
D. Harris
|
G | 2 | 3.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -2 | -0.2 | -1.1 | 0 | 0 | 50.0 | 0.77 | 56.8 | 0 |
S. Zecevic
|
G | 4 | 2.2 | 0.5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
A. Fields
|
G | 5 | 4.6 | 0.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.2 | 0.4 | 0.2 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
J. Swopshire
|
F | 5 | 2.4 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | - | - | - | 0.0 | 0.0 | 20.0 | - | 11.9 | 0.0 |
N. Wells
|
C | 4 | 1.2 | 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
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