Portland State Vikings
2026 Team Stats (26 games)
63.6
PPG
73.9
Opp
-10.3
Margin
39.6%
FG%
27.1%
3P%
71.8%
FT%
35.2
RPG
12.2
APG
16.3
TO
82.1
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 844 (#574) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.8 (#338) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.291 (#563) | AdjO 61.0 | AdjD 70.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.393 (#336) | 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 → | 0.351 (#360) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 767 (#564) | RD 149 | GP 26 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Brown
|
G | 26 | 34.0 | 16.5 | 3.5 | 1.8 | 0.8 | 0.2 | 2.8 | 14.3 | 5.7 | 29 | 1.3 | 3.2 | 40.2 | 30.0 | 88.2 | 1.19 | 51.0 | 44.6 |
H. Chicken
|
F | 26 | 25.3 | 10.9 | 5.7 | 1.7 | 1.3 | 0.7 | 3.0 | 9.1 | 8.2 | -170 | -7.7 | -12.7 | 46.6 | 38.6 | 78.3 | -3.19 | 54.1 | 50.2 |
C. Ellington
|
G | 25 | 24.9 | 10.6 | 6.0 | 1.5 | 1.0 | 1.0 | 2.2 | 9.3 | 8.5 | 5 | 0.4 | 0.6 | 45.9 | 28.9 | 65.6 | 1.32 | 51.0 | 48.3 |
L. Torres-Kahapea
|
G | 26 | 29.8 | 7.1 | 3.4 | 2.8 | 0.7 | 0.2 | 2.2 | 6.2 | 5.8 | -171 | -7.8 | -10.3 | 33.3 | 28.2 | 84.6 | -1.75 | 48.5 | 40.1 |
A. Yoakum
|
F | 24 | 27.7 | 5.9 | 6.0 | 1.8 | 0.7 | 0.4 | 1.8 | 5.8 | 7.2 | -95 | -4.8 | -6.1 | 43.2 | 10.0 | 58.3 | 1.42 | 45.9 | 43.5 |
T. Moffat
|
G | 24 | 22.2 | 5.8 | 2.5 | 2.0 | 0.8 | 0.2 | 1.3 | 5.4 | 4.6 | -110 | -5.2 | -9.5 | 37.2 | 28.2 | 62.5 | -2.29 | 48.2 | 45.7 |
S. Buzzard
|
G | 26 | 17.8 | 4.0 | 1.2 | 0.3 | 0.2 | 0.2 | 0.8 | 3.8 | 1.1 | -95 | -4.3 | -9.0 | 34.7 | 22.4 | 66.7 | -0.2 | 45.2 | 40.3 |
J. Carter
|
G | 20 | 9.8 | 2.5 | 0.9 | 0.4 | 0.5 | 0.0 | 0.8 | 2.6 | 0.9 | -60 | -4.6 | -20.7 | 26.9 | 18.2 | 43.6 | -2.24 | 35.4 | 30.8 |
K. Best
|
F | 19 | 6.5 | 1.3 | 1.5 | 0.1 | 0.3 | 0.0 | 0.5 | 1.3 | 1.4 | -27 | -1.7 | -12.3 | 40.0 | 40.0 | 50.0 | -0.93 | 45.2 | 44.0 |
K. Munk
|
F | 23 | 9.7 | 1.1 | 1.4 | 0.4 | 0.2 | 0.1 | 0.8 | 1.7 | 0.7 | -38 | -1.9 | -5.1 | 20.5 | 0.0 | 56.2 | 0.92 | 27.2 | 20.5 |
A. Encinas
|
G | 13 | 5.1 | 0.5 | 0.4 | 0.2 | 0.1 | 0.0 | 0.4 | 1.5 | -0.8 | -9 | -0.8 | -6.3 | 10.5 | 0.0 | 40.0 | 0.51 | 14.2 | 10.5 |
B. Strandy
|
F | 4 | 4.5 | 0.2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | -8 | -2.0 | -28.7 | 0.0 | 0 | 50.0 | -0.62 | 26.6 | 0.0 |
Kailee Field
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -30 | -1.6 | -7.5 | 0 | 0 | 0 | -2.51 | 0 | 0 |
Ryme Jaekel
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -6 | -6.0 | -98.0 | - | - | - | -0.81 | - | - |
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