Gonzaga
2026 Team Stats (35 games)
84.3
PPG
66.2
Opp
+18.1
Margin
50.5%
FG%
33.3%
3P%
70.7%
FT%
39.9
RPG
18.4
APG
9.6
TO
81.5
Pace
85.9
AdjO
62.7
AdjD
#9
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 → | 1302 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1368 (#6) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1149 (#17) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.1 (#9) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.0 (#21) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.942 (#2) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.980 (#11) | NetEff +34.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.973 (#9) | AdjNet +30.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.974 (#9) | AdjNet +31.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.891 (#9) | AdjO 85.9 | AdjD 62.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.772 (#17) | AdjO 76.6 | AdjD 63.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.961 (#11) | 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 → | 0.945 (#11) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1396 (#7) | RD 118 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Ike
|
- | 31 | 31.3 | 19.9 | 8.0 | 2.4 | 0.7 | 0.8 | 1.8 | 13.6 | 16.5 | 125 | 5.7 | 12.3 | 56.3 | 33.8 | 79.7 | 0.68 | 63.4 | 59.1 |
B. Huff
|
- | 18 | 25.5 | 17.8 | 5.6 | 1.5 | 0.4 | 0.5 | 0.9 | 12.2 | 12.7 | 210 | 11.7 | 25.8 | 66.2 | 33.3 | 57.5 | 1.07 | 67.6 | 67.8 |
T. Grant-Foster
|
G | 35 | 21.5 | 11.1 | 5.0 | 1.2 | 0.8 | 1.1 | 1.4 | 8.5 | 9.3 | 183 | 8.0 | 16.3 | 47.7 | 27.3 | 61.1 | 1.18 | 54.0 | 50.7 |
M. Saint-Supéry
|
- | 35 | 23.1 | 8.6 | 2.8 | 3.8 | 1.3 | 0.1 | 1.5 | 6.5 | 8.6 | - | - | - | 41.0 | 40.3 | 87.8 | - | 57.5 | 51.5 |
Davis Fogle
|
- | 30 | 16.8 | 8.5 | 3.1 | 1.3 | 0.7 | 0.5 | 0.7 | 6.3 | 7.2 | 83 | 4.9 | 16.2 | 51.6 | 33.3 | 72.3 | 0.54 | 58.6 | 55.0 |
A. Miller
|
G | 35 | 19.3 | 7.3 | 1.6 | 1.0 | 0.7 | 0.0 | 0.5 | 6.3 | 3.8 | 202 | 8.8 | 20.3 | 42.5 | 30.2 | 75.0 | 1.5 | 53.6 | 51.4 |
J. Warley
|
- | 33 | 21.9 | 7.1 | 4.8 | 2.1 | 1.5 | 0.3 | 0.9 | 5.0 | 9.8 | 275 | 12.0 | 22.5 | 56.6 | 0 | 65.2 | 2.31 | 59.3 | 56.6 |
E. Innocenti
|
- | 35 | 24.4 | 6.0 | 3.8 | 1.7 | 1.0 | 0.3 | 0.5 | 5.1 | 7.3 | 209 | 9.1 | 18.5 | 46.9 | 28.4 | 60.6 | 1.39 | 54.6 | 53.4 |
B. Smith
|
- | 35 | 17.1 | 5.1 | 2.2 | 3.6 | 1.0 | 0.0 | 1.1 | 3.9 | 6.9 | 268 | 11.2 | 20.3 | 46.7 | 33.3 | 80.5 | 1.13 | 57.4 | 52.9 |
S. Venters
|
- | 27 | 15.0 | 5.0 | 1.3 | 1.0 | 0.6 | 0.1 | 0.6 | 4.2 | 3.1 | 176 | 7.7 | 20.6 | 38.6 | 36.7 | 83.3 | 1.34 | 56.2 | 54.4 |
N. Haaland
|
- | 10 | 4.3 | 2.0 | 1.1 | 0.1 | 0.1 | 0.0 | 0.3 | 1.4 | 1.6 | 3 | 0.4 | 3.4 | 64.3 | 0.0 | 100.0 | 0.01 | 67.2 | 64.3 |
I. Diagne
|
- | 28 | 6.9 | 1.1 | 2.4 | 0.1 | 0.1 | 0.6 | 0.4 | 0.9 | 3.1 | 90 | 5.0 | 25.7 | 50.0 | 0 | 40.0 | 0.57 | 49.0 | 50.0 |
J. ArauzMoore
|
- | 8 | 2.2 | 0.8 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.4 | 1.0 | 2 | 0.3 | 5.5 | 66.7 | 66.7 | 0.0 | 0.04 | 77.3 | 100.0 |
C. Orness
|
- | 8 | 2.5 | 0.4 | 0.1 | 0.1 | 0.1 | 0.0 | 0.4 | 0.2 | 0.1 | 2 | 0.3 | 4.9 | 50.0 | 0 | 20.0 | -0.0 | 35.7 | 50.0 |
Alonzo Metz
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Parker Jefferson
|
F | 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