Boise State
2026 Team Stats (30 games)
78.0
PPG
74.0
Opp
+4.0
Margin
45.4%
FG%
33.7%
3P%
78.2%
FT%
35.7
RPG
12.9
APG
11.9
TO
78.7
Pace
80.8
AdjO
69.4
AdjD
#61
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 → | 1184 (#50) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1160 (#68) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1053 (#102) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.2 (#60) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.7 (#62) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.655 (#83) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.926 (#37) | NetEff +24.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.853 (#56) | AdjNet +15.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.855 (#57) | AdjNet +15.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.738 (#61) | AdjO 80.8 | AdjD 69.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.650 (#68) | AdjO 77.3 | AdjD 70.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.875 (#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 → | 0.848 (#63) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1163 (#83) | RD 136 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Fielder
|
- | 30 | 23.9 | 14.4 | 5.8 | 1.3 | 0.4 | 0.5 | 1.7 | 9.5 | 11.1 | -2 | -0.1 | -0.2 | 54.0 | 39.8 | 78.1 | 0.13 | 64.4 | 60.2 |
J. Buchanan
|
- | 29 | 27.9 | 12.7 | 5.0 | 1.5 | 0.6 | 0.2 | 1.1 | 9.0 | 9.9 | 15 | 0.7 | 1.3 | 42.1 | 30.9 | 83.6 | 0.84 | 56.9 | 47.9 |
D. Andrews
|
- | 30 | 29.2 | 12.6 | 2.4 | 3.1 | 0.6 | 0.1 | 2.1 | 9.1 | 7.5 | -8 | -0.4 | -0.6 | 40.3 | 32.1 | 89.1 | -0.13 | 57.5 | 48.5 |
A. Meadow
|
- | 30 | 30.4 | 12.3 | 3.7 | 1.0 | 0.6 | 0.0 | 0.9 | 8.3 | 8.4 | 31 | 1.3 | 3.3 | 51.2 | 37.6 | 64.0 | 0.4 | 61.6 | 59.4 |
P. Carmichael
|
- | 29 | 19.1 | 7.2 | 3.1 | 0.8 | 0.2 | 0.1 | 1.0 | 6.0 | 4.4 | 66 | 3.0 | 9.1 | 38.3 | 26.9 | 82.1 | 1.11 | 52.3 | 46.6 |
D. Parolin
|
- | 30 | 16.8 | 5.5 | 4.5 | 0.6 | 0.7 | 0.5 | 0.8 | 3.6 | 7.4 | 76 | 3.5 | 9.6 | 50.5 | 29.2 | 80.0 | 0.89 | 60.9 | 53.7 |
Spencer Ahrens
|
- | 30 | 13.1 | 5.0 | 2.4 | 0.7 | 0.3 | 0.4 | 1.0 | 4.0 | 3.8 | 43 | 2.0 | 6.4 | 45.0 | 36.1 | 70.0 | 0.13 | 56.7 | 54.2 |
Aginaldo Neto
|
- | 30 | 19.6 | 4.4 | 1.3 | 1.9 | 0.4 | 0.1 | 1.6 | 3.6 | 2.9 | 83 | 3.8 | 9.0 | 37.4 | 34.1 | 72.5 | 1.22 | 51.0 | 44.4 |
B. Ramirez
|
- | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3 | -1.5 | -40.4 | 100.0 | 100.0 | 0 | -0.06 | 150.0 | 150.0 |
RJ Keene
|
- | 29 | 22.1 | 2.8 | 4.4 | 1.8 | 0.7 | 0.4 | 0.6 | 2.6 | 6.9 | 30 | 1.4 | 3.2 | 39.5 | 35.8 | 50.0 | 0.46 | 52.1 | 52.0 |
E. Lathan
|
- | 4 | 2.5 | 2.0 | 1.2 | 0.0 | 0.0 | 0.2 | 0.0 | 1.2 | 2.2 | 5 | 1.0 | 22.3 | 60.0 | 0 | 100.0 | 0.07 | 68.0 | 60.0 |
Bhan Buom
|
- | 21 | 4.2 | 1.7 | 0.5 | 0.2 | 0.1 | 0.0 | 0.2 | 1.0 | 1.3 | 31 | 2.2 | 22.1 | 60.0 | 40.0 | 58.3 | 0.34 | 69.2 | 70.0 |
J. Bowie
|
- | 8 | 5.9 | 1.0 | 0.1 | 0.2 | 0.1 | 0.0 | 0.6 | 1.1 | -0.2 | -2 | -0.2 | -3.3 | 33.3 | 33.3 | 0 | 0.04 | 44.4 | 44.4 |
R. Bergersen
|
- | 5 | 2.0 | 0.0 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 7 | 1.2 | 29.9 | 0 | 0 | 0 | 0.05 | 0 | 0 |
Noah Bendinger
|
G | 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