Idaho Vandals
2026 Team Stats (28 games)
76.0
PPG
64.4
Opp
+11.6
Margin
41.2%
FG%
30.2%
3P%
74.2%
FT%
46.5
RPG
13.6
APG
15.8
TO
91.5
Pace
73.1
AdjO
66.7
AdjD
#100
Rank
Model Outputs
2025-2026
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 → | 1226 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1209 (#59) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1157 (#18) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.1 (#98) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.0 (#92) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.828 (#59) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.814 (#77) | NetEff +12.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.753 (#104) | AdjNet +9.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.751 (#104) | AdjNet +9.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.642 (#100) | AdjO 73.1 | AdjD 66.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.693 (#70) | AdjO 68.8 | AdjD 59.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.903 (#68) | 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 → | 0.884 (#68) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1309 (#21) | RD 119 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Hassmann
|
G | 28 | 29.8 | 14.0 | 3.4 | 3.9 | 1.1 | 0.0 | 3.1 | 12.2 | 7.2 | 152 | 6.6 | 8.2 | 38.7 | 30.6 | 84.1 | -3.18 | 50.3 | 43.7 |
K. Gardner
|
G | 28 | 29.1 | 12.6 | 6.5 | 1.9 | 2.5 | 1.1 | 1.7 | 11.8 | 11.1 | 206 | 9.0 | 11.6 | 39.6 | 31.7 | 70.2 | 2.74 | 49.7 | 47.4 |
D. dos Santos
|
F | 26 | 19.3 | 11.2 | 8.6 | 0.5 | 1.2 | 1.1 | 1.3 | 8.9 | 12.4 | 116 | 8.9 | 17.5 | 50.4 | 30.0 | 69.3 | 4.93 | 55.1 | 51.7 |
A. Pinheiro
|
G | 28 | 27.6 | 10.4 | 6.3 | 1.9 | 1.2 | 0.7 | 2.2 | 9.6 | 8.6 | 130 | 5.7 | 7.1 | 39.4 | 26.8 | 69.0 | 1.62 | 47.4 | 42.9 |
L. Barbosa
|
F | 27 | 14.7 | 8.0 | 4.5 | 0.4 | 0.5 | 0.7 | 1.7 | 6.4 | 6.0 | 65 | 3.8 | 8.2 | 44.3 | 31.0 | 80.6 | 1.37 | 53.3 | 46.8 |
A. Passos Alves da Silva
|
G | 28 | 20.3 | 6.6 | 4.0 | 1.3 | 1.0 | 0.1 | 1.9 | 5.7 | 5.5 | 111 | 4.8 | 9.5 | 41.9 | 26.8 | 73.5 | 0.74 | 50.9 | 46.6 |
E. Uriarte
|
G | 28 | 30.2 | 6.2 | 2.8 | 1.5 | 0.8 | 0.3 | 1.1 | 5.9 | 4.6 | 159 | 6.9 | 9.7 | 38.2 | 32.9 | 82.1 | 2.58 | 49.3 | 46.1 |
M. McMorris
|
G | 10 | 17.3 | 4.9 | 3.3 | 2.2 | 1.4 | 0.1 | 2.4 | 6.3 | 3.2 | 105 | 7.5 | 12.9 | 31.7 | 12.5 | 50.0 | 0.88 | 35.4 | 33.3 |
N. Henley
|
G | 4 | 10.2 | 4.2 | 2.2 | 1.0 | 0.5 | 0.5 | 1.0 | 5.2 | 2.2 | 80 | 8.0 | 67.7 | 28.6 | 38.5 | 0 | 2.56 | 40.5 | 40.5 |
S. Brans
|
F | 24 | 7.2 | 2.5 | 1.6 | 0.2 | 0.1 | 0.2 | 0.5 | 2.1 | 1.9 | 13 | 0.6 | 2.8 | 49.0 | 28.6 | 50.0 | -2.99 | 53.2 | 52.9 |
K. Kangur
|
G | 25 | 13.7 | 2.1 | 2.4 | 1.0 | 0.5 | 0.0 | 1.0 | 2.0 | 3.0 | 76 | 4.0 | 18.7 | 40.0 | 28.6 | 66.7 | 1.34 | 48.2 | 46.0 |
S. Ekh
|
G | 14 | 5.9 | 1.9 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 1.4 | 0.9 | 50 | 3.6 | 37.4 | 50.0 | 42.9 | 100.0 | -0.22 | 66.0 | 65.0 |
C. Deaver
|
F | 14 | 4.4 | 0.9 | 1.6 | 0.3 | 0.1 | 0.2 | 0.1 | 1.1 | 2.1 | 48 | 4.0 | 96.0 | 33.3 | 0.0 | 60.0 | 0.57 | 37.8 | 33.3 |
A. Bukvic
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Reese de Groot
|
F | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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