Brown
2015 Team Stats (5 games)
70.8
PPG
70.3
Opp
-0.5
Margin
45.5%
FG%
34.3%
3P%
68.4%
FT%
37.0
RPG
15.4
APG
15.6
TO
78.8
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 → | 1261 (#181) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1212 (#225) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.6 (#217) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.177 (#78) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.017 (#113) | AdjNet -35.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.014 (#113) | AdjNet -38.2 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-19 | @ | Holy Cross Crusaders | L | 65 - 80 |
| 2014-11-27 | @ | Austin Peay Governors | L | 58 - 79 |
| 2015-01-12 | vs | Vermont State - Lyndon Hornets | W | 88 - 42 |
| 2015-02-06 | vs | Harvard Crimson | L | 74 - 76 |
| 2015-02-20 | vs | Columbia Lions | L | 59 - 76 |
| 2015-02-27 | vs | Pennsylvania Quakers | W | 75 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. King II
|
F | 3 | 26.0 | 21.3 | 10.3 | 3.0 | 1.3 | 1.3 | 4.0 | 12.3 | 21.0 | 11 | 0.9 | 1.3 | 64.9 | 50.0 | 73.3 | 1.23 | 73.4 | 71.6 |
C. Kuakumensah
|
F | 5 | 30.8 | 16.6 | 6.8 | 0.6 | 0.6 | 3.2 | 2.2 | 11.4 | 14.2 | - | - | - | 50.9 | 41.2 | 72.0 | - | 61.0 | 57.0 |
T. Blackmon
|
G | 5 | 32.2 | 11.6 | 2.2 | 5.2 | 1.0 | 0.0 | 3.4 | 8.8 | 7.8 | - | - | - | 43.2 | 50.0 | 77.8 | - | 55.9 | 50.0 |
R. Maia
|
F | 5 | 29.8 | 9.6 | 8.4 | 1.8 | 0.8 | 1.6 | 2.2 | 6.8 | 13.2 | - | - | - | 50.0 | 0.0 | 60.9 | - | 54.4 | 50.0 |
J. Hobbie
|
G | 6 | 28.5 | 8.3 | 1.3 | 0.2 | 0.5 | 0.0 | 0.7 | 7.0 | 2.7 | - | - | - | 35.7 | 35.9 | 100.0 | - | 56.0 | 52.4 |
S. Spieth
|
F | 6 | 33.0 | 8.2 | 5.2 | 2.5 | 0.7 | 1.0 | 1.7 | 6.8 | 9.0 | - | - | - | 36.6 | 20.0 | 80.0 | - | 49.2 | 40.2 |
D. Walker
|
F | 5 | 13.4 | 4.0 | 5.0 | 0.4 | 0.6 | 0.0 | 1.4 | 2.6 | 6.0 | - | - | - | 61.5 | 0 | 40.0 | - | 57.5 | 61.5 |
P. Triplett
|
G | 6 | 7.5 | 3.5 | 1.2 | 0.5 | 0.2 | 0.2 | 1.2 | 2.3 | 2.0 | - | - | - | 42.9 | 40.0 | 87.5 | - | 59.9 | 50.0 |
J. Massey
|
G | 6 | 12.3 | 2.2 | 0.7 | 0.8 | 0.3 | 0.0 | 0.5 | 1.8 | 1.7 | - | - | - | 54.5 | 0.0 | 100.0 | - | 56.8 | 54.5 |
J. Schmidt
|
F | 1 | 9.0 | 2.0 | 5.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2.0 | 7.0 | - | - | - | 50.0 | 0 | 0.0 | - | 41.0 | 50.0 |
T. Williams
|
G | 6 | 13.2 | 1.5 | 0.5 | 2.2 | 0.2 | 0.0 | 2.2 | 3.0 | -0.8 | 32 | 2.7 | 5.7 | 22.2 | 8.3 | 0.0 | 0.87 | 23.8 | 25.0 |
L. Yiljep
|
G | 2 | 6.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | - | - | - | 0.0 | 0.0 | 100.0 | - | 53.2 | 0.0 |
K. Haber
|
F | 1 | 15.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Ljuboja
|
F | 2 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.5 | -1.5 | - | - | - | 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