Washington State
2015 Team Stats (5 games)
56.8
PPG
78.8
Opp
-22.0
Margin
38.2%
FG%
29.5%
3P%
61.2%
FT%
27.6
RPG
11.2
APG
10.6
TO
71.0
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 → | 1483 (#70) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1399 (#89) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.9 (#84) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.025 (#109) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.252 (#89) | AdjNet -9.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.257 (#87) | AdjNet -9.2 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-27 | @ | UC Santa Barbara Gauchos | L | 43 - 71 |
| 2015-01-21 | @ | Utah Utes | L | 64 - 86 |
| 2015-02-15 | vs | Arizona Wildcats | L | 59 - 86 |
| 2015-03-05 | vs | Utah Utes | L | 59 - 67 |
| 2015-03-11 | @ | California Golden Bears | L | 59 - 84 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Lacy
|
G | 5 | 29.8 | 12.2 | 1.2 | 1.4 | 0.0 | 0.2 | 1.4 | 11.0 | 2.6 | - | - | - | 40.0 | 32.0 | 75.0 | - | 50.6 | 47.3 |
J. Railey
|
C | 5 | 22.2 | 9.8 | 4.4 | 0.2 | 0.4 | 1.6 | 1.4 | 8.2 | 6.8 | - | - | - | 53.7 | 0 | 27.8 | - | 50.1 | 53.7 |
J. Hawkinson
|
F | 5 | 27.8 | 9.2 | 9.8 | 0.8 | 0.0 | 0.2 | 1.2 | 7.6 | 11.2 | - | - | - | 42.1 | 0.0 | 77.8 | - | 50.1 | 42.1 |
D. Kernich-Drew
|
G | 5 | 24.2 | 7.0 | 1.0 | 0.8 | 0.2 | 0.2 | 1.2 | 6.8 | 1.2 | - | - | - | 29.4 | 39.1 | 100.0 | - | 47.8 | 42.6 |
I. Iroegbu
|
G | 5 | 25.4 | 5.0 | 2.6 | 3.2 | 0.4 | 0.0 | 1.8 | 5.8 | 3.6 | - | - | - | 24.1 | 14.3 | 62.5 | - | 34.7 | 25.9 |
B. Boese
|
F | 5 | 16.4 | 4.8 | 0.6 | 0.4 | 0.0 | 0.2 | 0.6 | 4.6 | 0.8 | - | - | - | 39.1 | 33.3 | 0 | - | 52.2 | 52.2 |
J. Longrus
|
F | 5 | 11.6 | 3.0 | 1.8 | 0.2 | 0.4 | 0.4 | 0.4 | 1.4 | 4.0 | - | - | - | 85.7 | 0 | 50.0 | - | 77.8 | 85.7 |
Q. Johnson
|
G | 5 | 13.8 | 1.8 | 1.2 | 0.0 | 0.4 | 0.0 | 0.4 | 2.0 | 1.0 | - | - | - | 20.0 | 20.0 | 100.0 | - | 38.3 | 25.0 |
T. Dunbar
|
G | 4 | 11.0 | 1.8 | 0.2 | 1.5 | 0.2 | 0.0 | 1.2 | 2.2 | 0.2 | - | - | - | 33.3 | 50.0 | 0 | - | 38.9 | 38.9 |
N. Redding
|
G | 5 | 12.0 | 1.6 | 1.2 | 3.0 | 0.4 | 0.0 | 0.6 | 1.4 | 4.2 | - | - | - | 0.0 | 0.0 | 80.0 | - | 35.1 | 0.0 |
A. Cheatum
|
F | 4 | 5.2 | 0.8 | 0.5 | 0.0 | 0.5 | 0.2 | 0.0 | 0.8 | 1.2 | - | - | - | 33.3 | 0 | 12.5 | - | 23.0 | 33.3 |
J. Davis
|
G | 4 | 4.8 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | -0.2 | 111 | 5.0 | 8.4 | 33.3 | 0.0 | 0 | 2.04 | 33.3 | 33.3 |
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