Washington State
2014 Team Stats (5 games)
56.0
PPG
74.4
Opp
-18.4
Margin
37.8%
FG%
24.8%
3P%
67.7%
FT%
28.4
RPG
8.2
APG
11.6
TO
-
Est. poss./game
62.4
Adj PPG
62.7
Adj Opp PPG
#176
Scoring Rank
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 โ | 914 (#236) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 922 (#238) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 887 (#318) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.3 (#163) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -0.6 (#179) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.259 (#291) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.493 (#168) | AdjNet -0.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.490 (#168) | AdjNet -0.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.493 (#176) | AdjO 62.4 | AdjD 62.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.419 (#253) | AdjO 61.4 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.430 (#206) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.415 (#225) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 947 (#211) | RD 139 | GP 30 |
2014 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DaVonte Lacy
|
G | 20 | 34.1 | 20.4 | 4.2 | 1.4 | 1.1 | 0.1 | 2.1 | 5.5 | 19.7 | -34 | 19 | -1.8 | -2.3 | 45.9 | 45.8 | 89.1 | 2.01 | 158.2 | 61.0 |
D.J. Shelton
|
F | 28 | 30.8 | 10.1 | 9.7 | 1.5 | 0.8 | 0.4 | 2.0 | 3.1 | 17.4 | -59 | 25 | -2.4 | -3.3 | 32.2 | 15.6 | 71.4 | 0.01 | 152.4 | 36.2 |
Que Johnson
|
G | 28 | 23.7 | 9.2 | 2.2 | 0.7 | 0.5 | 0.1 | 1.0 | 2.5 | 9.1 | -54 | 25 | -2.2 | -4.1 | 35.7 | 31.7 | 55.6 | -0.19 | 174.4 | 45.0 |
Royce Woolridge
|
G | 28 | 28.4 | 7.3 | 1.9 | 2.7 | 0.9 | 0.1 | 2.0 | 2.1 | 8.8 | -70 | 25 | -2.8 | -4.4 | 36.7 | 18.2 | 53.8 | -0.73 | 132.2 | 38.3 |
Dexter Kernich-Drew
|
G | 27 | 22.8 | 6.3 | 1.8 | 0.9 | 0.4 | 0.2 | 0.8 | 1.4 | 7.3 | 16 | 24 | 0.7 | 1.3 | 35.9 | 29.2 | 85.7 | 3.75 | 188.2 | 44.9 |
Ike Iroegbu
|
G | 28 | 18.0 | 5.6 | 2.0 | 1.4 | 0.5 | 0.1 | 1.2 | 2.0 | 6.4 | -60 | 25 | -2.4 | -6.0 | 36.4 | 36.0 | 76.9 | -1.21 | 118.9 | 44.5 |
Junior Longrus
|
F | 28 | 20.2 | 3.6 | 3.6 | 1.0 | 0.7 | 0.8 | 0.8 | 1.0 | 8.0 | -57 | 25 | -2.3 | -4.9 | 37.0 | 0.0 | 56.2 | -0.3 | 148.4 | 37.0 |
Jordan Railey
|
C | 28 | 16.7 | 3.1 | 2.6 | 0.9 | 0.4 | 1.0 | 1.0 | 1.2 | 5.8 | -55 | 25 | -2.2 | -5.8 | 45.5 | 0.0 | 36.4 | -2.46 | 101.9 | 45.5 |
Brett Boese
|
F | 18 | 4.1 | 1.6 | 0.3 | 0.1 | 0.0 | 0.0 | 0.2 | 0.3 | 1.5 | 1 | 15 | 0.1 | 0.7 | 60.0 | 50.0 | 0 | -0.31 | 280.0 | 80.0 |
Josh Hawkinson
|
F | 24 | 6.6 | 1.3 | 1.6 | 0.1 | 0.0 | 0.2 | 0.2 | 0.4 | 2.7 | 16 | 22 | 0.7 | 5.3 | 44.4 | 0 | 57.1 | 1.49 | 132.5 | 44.4 |
Will DiIorio
|
G | 26 | 8.3 | 0.9 | 1.5 | 0.1 | 0.2 | 0.0 | 0.5 | 0.3 | 1.9 | -73 | 23 | -3.2 | -19.4 | 44.4 | 25.0 | 0 | -5.11 | 127.8 | 50.0 |
James Hunter
|
C | 9 | 1.9 | 0.8 | 0.3 | 0.0 | 0.2 | 0.1 | 0.2 | 0.2 | 1.0 | 7 | 7 | 1.0 | 19.3 | 50.0 | 0 | 0.0 | 0.03 | 143.4 | 50.0 |
Dominic Ballard
|
G | 10 | 2.7 | 0.4 | 0.2 | 0.4 | 0.2 | 0.0 | 0.2 | 0.1 | 0.9 | 7 | 8 | 0.9 | 12.7 | 0.0 | 0 | 0 | -0.17 | 200.0 | 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