Portland State
2015 Team Stats (1 games)
60.0
PPG
70.0
Opp
-10.0
Margin
36.1%
FG%
30.0%
3P%
62.5%
FT%
38.0
RPG
10.0
APG
9.0
TO
-
Est. poss./game
65.3
Adj PPG
70.9
Adj Opp PPG
#262
Scoring Rank
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 โ | 917 (#233) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 951 (#217) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 991 (#182) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -6.2 (#270) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -3.9 (#239) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.387 (#233) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.236 (#276) | AdjNet -10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.231 (#276) | AdjNet -10.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.375 (#262) | AdjO 65.3 | AdjD 70.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.460 (#214) | AdjO 66.2 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.371 (#245) | 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 | 0.387 (#238) | 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 | 921 (#232) | RD 135 | GP 27 |
2015 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DaShaun Wiggins
|
G | 25 | 29.0 | 15.4 | 4.0 | 1.4 | 1.4 | 0.0 | 1.8 | 2.7 | 17.7 | -29 | 27 | -1.1 | -1.6 | 38.2 | 51.5 | 68.8 | -0.54 | 234.5 | 50.7 |
Gary Winston
|
G | 24 | 31.7 | 12.5 | 2.0 | 3.9 | 0.5 | 0.0 | 2.3 | 2.4 | 14.2 | -100 | 27 | -3.7 | -5.1 | 43.1 | 39.1 | 88.2 | -5.24 | 229.1 | 50.9 |
Braxton Tucker
|
F | 20 | 28.0 | 12.1 | 5.2 | 0.7 | 0.5 | 0.5 | 1.2 | 1.6 | 16.1 | -19 | 22 | -0.9 | -1.4 | 50.0 | 0 | 83.3 | -0.13 | 323.2 | 50.0 |
Tiegbe Bamba
|
F | 25 | 30.8 | 11.8 | 6.7 | 1.0 | 1.1 | 0.2 | 1.6 | 1.9 | 17.4 | 0 | 26 | 0.0 | 0.0 | 45.8 | 38.5 | 69.2 | 1.62 | 248.1 | 51.0 |
Bryce White
|
G | 12 | 26.3 | 8.8 | 3.9 | 1.5 | 0.7 | 0.4 | 1.2 | 1.2 | 12.8 | 35 | 12 | 2.9 | 4.9 | 33.3 | 33.3 | 100.0 | 2.02 | 313.2 | 40.0 |
Tim Douglas
|
G | 25 | 23.7 | 6.3 | 1.8 | 2.8 | 0.9 | 0.1 | 1.1 | 1.4 | 9.4 | 15 | 27 | 0.6 | 1.1 | 23.5 | 12.5 | 71.4 | 1.38 | 211.7 | 26.5 |
Zach Gengler
|
G | 19 | 19.2 | 4.7 | 2.5 | 1.5 | 0.6 | 0.0 | 0.7 | 1.0 | 7.6 | 21 | 20 | 1.1 | 2.3 | 26.3 | 25.0 | 80.0 | -0.34 | 212.3 | 34.2 |
Collin Spickerman
|
C | 25 | 20.6 | 4.5 | 4.2 | 0.7 | 0.6 | 2.6 | 1.0 | 0.9 | 10.7 | -18 | 27 | -0.7 | -1.4 | 36.4 | 100.0 | 33.3 | 0.98 | 242.3 | 38.6 |
Iziahiah Sweeney
|
G | 19 | 12.2 | 2.8 | 1.0 | 0.7 | 0.3 | 0.3 | 0.5 | 1.0 | 3.6 | -67 | 21 | -3.2 | -11.3 | 26.3 | 16.7 | 100.0 | -4.15 | 132.9 | 28.9 |
Sebastian Suarez
|
G | 10 | 9.4 | 2.6 | 1.2 | 0.4 | 0.3 | 0.2 | 0.4 | 1.0 | 3.3 | -25 | 13 | -1.9 | -9.8 | 30.0 | 40.0 | 0 | -3.09 | 130.0 | 40.0 |
Brandon Cataldo
|
C | 16 | 4.6 | 1.2 | 0.9 | 0.1 | 0.0 | 0.2 | 0.3 | 0.2 | 1.9 | -24 | 17 | -1.4 | -11.4 | 25.0 | 0 | 50.0 | -3.01 | 204.9 | 25.0 |
Dorian Cason
|
C | 2 | 8.0 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Kyler Shula
|
- | 1 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
Joel King
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Montie Leunen
|
F | 2 | 2.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 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