Seattle U
2015 Team Stats (4 games)
62.8
PPG
59.0
Opp
+10.8
Margin
44.3%
FG%
39.4%
3P%
73.2%
FT%
35.8
RPG
14.3
APG
15.3
TO
69.4
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 → | 1306 (#146) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1228 (#204) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.7 (#147) | HCA +2.9 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-19 | vs | Omaha Mavericks | W | 98 - 74 |
| 2014-12-01 | vs | Pacific Lutheran Lutes | W | 72 - 33 |
| 2015-03-12 | vs | Chicago State Cougars | W | 49 - 45 |
| 2015-03-13 | @ | Kansas City Roos | W | 69 - 63 |
| 2015-03-14 | @ | New Mexico State Aggies | L | 61 - 80 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Umipig
|
G | 5 | 32.8 | 19.0 | 4.0 | 3.2 | 1.4 | 0.0 | 2.4 | 8.4 | 16.8 | - | - | - | 42.9 | 41.9 | 100.0 | - | 91.9 | 58.3 |
J. Flora
|
G | 5 | 28.6 | 12.4 | 3.4 | 1.6 | 0.4 | 0.2 | 1.4 | 6.0 | 10.6 | - | - | - | 46.7 | 42.1 | 80.0 | - | 96.3 | 60.0 |
W. Powell
|
F | 5 | 30.4 | 9.6 | 7.6 | 1.6 | 0.8 | 0.4 | 3.0 | 5.4 | 11.6 | - | - | - | 48.1 | 0.0 | 61.9 | - | 66.2 | 48.1 |
J. Crook
|
C | 5 | 25.0 | 8.8 | 8.8 | 2.2 | 0.0 | 0.2 | 1.6 | 4.0 | 14.4 | - | - | - | 55.0 | 0 | 81.8 | - | 88.6 | 55.0 |
S. Adenekan
|
F | 4 | 14.8 | 6.5 | 2.5 | 1.0 | 0.0 | 0.8 | 1.0 | 1.8 | 8.0 | - | - | - | 85.7 | 0 | 50.0 | - | 148.4 | 85.7 |
M. Clair
|
G | 4 | 7.8 | 4.5 | 1.2 | 0.2 | 0.5 | 0.0 | 0.0 | 2.2 | 4.2 | - | - | - | 44.4 | 50.0 | 0 | - | 100.0 | 66.7 |
J. Cohee
|
G | 5 | 18.0 | 4.2 | 2.2 | 2.0 | 1.2 | 0.0 | 1.6 | 5.4 | 2.6 | - | - | - | 25.9 | 0.0 | 77.8 | - | 33.9 | 25.9 |
L. Cramer
|
F | 2 | 8.5 | 2.5 | 2.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.0 | 3.5 | - | - | - | 50.0 | 0 | 75.0 | - | 66.5 | 50.0 |
E. Murray
|
G | 4 | 28.2 | 2.2 | 3.0 | 3.0 | 0.8 | 0.0 | 3.0 | 1.5 | 4.5 | - | - | - | 16.7 | 50.0 | 54.5 | - | 41.5 | 25.0 |
E. Chibuogwu
|
F | 5 | 12.8 | 2.2 | 1.0 | 1.0 | 0.2 | 0.2 | 0.8 | 0.4 | 3.4 | - | - | - | 50.0 | 0 | 42.9 | - | 108.3 | 50.0 |
T. Turner
|
C | 3 | 7.7 | 1.3 | 1.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | 2.3 | - | - | - | 50.0 | 0 | 66.7 | - | 60.2 | 50.0 |
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