Gonzaga Bulldogs
2026 Team Stats (31 games)
73.9
PPG
65.0
Opp
+8.9
Margin
44.7%
FG%
39.2%
3P%
76.4%
FT%
41.1
RPG
16.5
APG
17.0
TO
84.7
Pace
75.4
AdjO
62.4
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 → | 1237 (#42) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1195 (#71) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1097 (#69) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.4 (#59) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +26.7 (#54) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.820 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.850 (#63) | NetEff +14.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.911 (#58) | AdjNet +20.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.913 (#60) | AdjNet +20.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.765 (#61) | AdjO 75.4 | AdjD 62.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.745 (#40) | AdjO 73.6 | AdjD 61.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.922 (#53) | 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 → | 0.904 (#53) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1210 (#69) | RD 116 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Whittaker
|
F | 31 | 26.1 | 19.1 | 10.5 | 1.3 | 1.1 | 0.4 | 2.5 | 13.1 | 16.7 | 159 | 6.6 | 8.7 | 52.8 | 35.7 | 79.4 | 4.04 | 61.8 | 56.5 |
A. Turner
|
G | 31 | 33.6 | 14.7 | 2.5 | 3.4 | 0.6 | 0.2 | 2.7 | 10.9 | 7.8 | 108 | 4.5 | 5.1 | 44.5 | 47.1 | 96.2 | -1.21 | 61.5 | 56.5 |
Z. Aokuso
|
G | 31 | 24.0 | 8.2 | 2.7 | 2.2 | 0.7 | 0.0 | 2.5 | 7.9 | 3.5 | 120 | 5.0 | 7.6 | 38.8 | 30.0 | 80.3 | 2.95 | 46.5 | 41.2 |
J. Haile
|
F | 31 | 19.6 | 7.3 | 6.4 | 1.3 | 0.4 | 0.3 | 1.0 | 5.3 | 9.4 | 65 | 2.7 | 5.7 | 54.9 | 0.0 | 51.1 | 1.45 | 55.5 | 54.9 |
I. Bettencourt
|
G | 30 | 26.0 | 6.1 | 3.2 | 2.9 | 1.4 | 0.3 | 2.1 | 6.9 | 5.0 | 172 | 6.9 | 9.7 | 34.0 | 30.0 | 66.7 | 3.14 | 42.0 | 39.8 |
T. Gardner
|
G | 31 | 20.3 | 6.0 | 3.2 | 1.1 | 0.7 | 0.1 | 1.0 | 4.5 | 5.5 | 33 | 1.4 | 2.8 | 44.3 | 47.0 | 93.8 | -1.06 | 63.2 | 61.1 |
T. Smith
|
F | 31 | 22.8 | 5.5 | 3.8 | 2.5 | 1.1 | 0.6 | 2.0 | 5.0 | 6.5 | -40 | -1.0 | -4.6 | 49.0 | 7.7 | 82.6 | 3.42 | 52.1 | 49.4 |
S. Lichtie
|
F | 20 | 10.7 | 2.9 | 1.9 | 0.6 | 0.5 | 0.1 | 0.9 | 2.5 | 2.6 | 25 | 2.1 | 7.6 | 42.9 | 22.2 | 86.7 | -0.66 | 51.3 | 44.9 |
P. Lofing
|
G | 25 | 6.6 | 2.4 | 0.4 | 0.3 | 0.1 | 0.1 | 0.4 | 1.9 | 0.9 | 65 | 3.6 | 15.9 | 37.5 | 44.4 | 63.6 | 2.31 | 55.8 | 54.2 |
J. Wilson
|
G | 28 | 10.3 | 1.9 | 1.0 | 0.9 | 0.4 | 0.1 | 0.5 | 1.9 | 1.7 | 34 | 1.4 | 3.2 | 37.7 | 41.7 | 61.5 | 1.84 | 45.1 | 42.5 |
M. Dalan
|
F | 23 | 7.9 | 1.1 | 1.7 | 0.2 | 0.2 | 0.1 | 0.7 | 1.3 | 1.3 | 12 | 0.6 | 2.1 | 22.6 | 50.0 | 78.6 | -0.21 | 35.0 | 24.2 |
C. Osarobo
|
G | 26 | 6.1 | 0.8 | 0.7 | 0.3 | 0.1 | 0.2 | 0.3 | 1.2 | 0.6 | 42 | 2.0 | 9.8 | 30.0 | 8.3 | 75.0 | 1.17 | 34.6 | 31.7 |
Vera Gunaydin
|
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