Gonzaga
2026 Team Stats (35 games)
Model Outputs
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 → | 1441 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1375 (#5) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1142 (#20) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.3 (#9) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.9 (#24) | HCA +2.2 |
| 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 → | 0.942 (#2) | NetEff +25.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.973 (#9) | AdjNet +31.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.974 (#9) | AdjNet +31.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.880 (#9) | AdjO 84.0 | AdjD 62.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.750 (#15) | AdjO 76.2 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.900 (#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 → | 0.883 (#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 → | 1361 (#9) | RD 120 | 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Graham Ike
|
- | 31 | 31.3 | 19.9 | 8.0 | 2.4 | 0.7 | 0.8 | 1.8 | 13.6 | 16.5 | 306 | 29 | 10.6 | 13.8 | 56.3 | 33.8 | 79.7 | 2.64 | 63.4 | 59.1 |
Braden Huff
|
- | 18 | 25.5 | 17.8 | 5.6 | 1.5 | 0.4 | 0.5 | 0.9 | 12.2 | 12.7 | 180 | 15 | 12.0 | 19.8 | 66.2 | 33.3 | 57.5 | 4.02 | 67.6 | 67.8 |
Tyon Grant-Foster
|
G | 35 | 21.5 | 11.1 | 5.0 | 1.2 | 0.8 | 1.1 | 1.4 | 8.5 | 9.2 | 255 | 32 | 8.0 | 15.2 | 47.5 | 26.2 | 61.1 | 2.94 | 53.7 | 50.3 |
Davis Fogle
|
- | 30 | 16.8 | 8.6 | 3.1 | 1.3 | 0.7 | 0.5 | 0.7 | 6.4 | 7.2 | 189 | 27 | 7.0 | 16.5 | 51.8 | 35.0 | 72.3 | 3.32 | 59.0 | 55.5 |
M. Saint-Supéry
|
- | 35 | 23.1 | 8.6 | 2.8 | 3.8 | 1.3 | 0.1 | 1.5 | 6.5 | 8.6 | 268 | 32 | 8.4 | 14.8 | 41.0 | 40.3 | 87.8 | 1.96 | 57.5 | 51.5 |
Adam Miller
|
G | 35 | 19.3 | 7.3 | 1.6 | 1.0 | 0.7 | 0.0 | 0.5 | 6.3 | 3.8 | 218 | 32 | 6.8 | 14.4 | 42.5 | 30.2 | 75.0 | 1.64 | 53.6 | 51.4 |
Jalen Warley
|
- | 33 | 21.9 | 7.1 | 4.8 | 2.1 | 1.5 | 0.3 | 0.9 | 5.0 | 9.8 | 218 | 30 | 7.3 | 13.5 | 56.6 | 0 | 65.2 | 1.44 | 59.3 | 56.6 |
Emmanuel Innocenti
|
- | 35 | 24.4 | 6.0 | 3.8 | 1.7 | 1.0 | 0.3 | 0.5 | 5.1 | 7.3 | 255 | 32 | 8.0 | 13.2 | 46.9 | 28.4 | 60.6 | 1.89 | 54.6 | 53.4 |
Braeden Smith
|
- | 35 | 17.1 | 5.1 | 2.2 | 3.6 | 1.0 | 0.0 | 1.1 | 3.9 | 6.9 | 182 | 32 | 5.7 | 13.8 | 46.7 | 33.3 | 80.5 | 0.93 | 57.4 | 52.9 |
Steele Venters
|
- | 27 | 15.0 | 5.0 | 1.3 | 1.0 | 0.6 | 0.1 | 0.6 | 4.2 | 3.1 | 129 | 24 | 5.4 | 15.4 | 38.6 | 36.7 | 83.3 | 0.49 | 56.2 | 54.4 |
Noah Haaland
|
- | 10 | 4.3 | 2.0 | 1.1 | 0.1 | 0.1 | 0.0 | 0.3 | 1.4 | 1.6 | -5 | 6 | -0.8 | -6.5 | 64.3 | 0.0 | 100.0 | -1.94 | 67.2 | 64.3 |
Ismaila Diagne
|
- | 28 | 6.9 | 1.1 | 2.4 | 0.1 | 0.1 | 0.6 | 0.4 | 0.9 | 3.1 | 53 | 24 | 2.2 | 13.9 | 50.0 | 0 | 40.0 | -0.64 | 49.0 | 50.0 |
Joaquim ArauzMoore
|
- | 8 | 2.2 | 0.8 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.4 | 1.0 | - | - | - | - | 66.7 | 66.7 | 0.0 | -1.7 | 77.3 | 100.0 |
Cade Orness
|
- | 8 | 2.5 | 0.4 | 0.1 | 0.1 | 0.1 | 0.0 | 0.4 | 0.2 | 0.1 | - | - | - | - | 50.0 | 0 | 20.0 | -1.79 | 35.7 | 50.0 |
Parker Jefferson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Alonzo Metz
|
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
Alumni in the Pros
Former Gonzaga players in NBA 2026-2027, EuroLeague 2026-2027, G League 2025-2026, EuroCup 2026-2027, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Gonzaga game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG |
|---|---|---|---|---|---|---|---|---|
| D. Sabonis | 2014-16 | NBA | Sacramento Kings | 2 | 36.1 | 20.5 | 18.5 | 9.0 |
| A. Nembhard | 2020-22 | NBA | Indiana Pacers | 2 | 33.0 | 17.0 | 2.0 | 7.0 |
| C. Holmgren | 2021-22 | NBA | Oklahoma City Thunder | 2 | 29.2 | 13.0 | 12.0 | 2.0 |
| R. Hachimura | 2016-19 | NBA | LA Clippers | 2 | 32.4 | 13.0 | 7.0 | 1.5 |
| Corey Kispert | 2017-21 | NBA | Atlanta Hawks | 1 | 9.7 | 11.0 | 1.0 | 1.0 |
| J. Suggs | 2020-21 | NBA | Orlando Magic | 2 | 33.1 | 10.0 | 4.5 | 5.5 |
| Ryan Nembhard | 2023-25 | NBA | Denver Nuggets + G League 5 GP | 1 | 1.7 | 5.0 | 1.0 | 1.0 |
| Zach Collins | 2016-17 | NBA | Chicago Bulls | 1 | 8.6 | 0.0 | 5.0 | 0.0 |
| F. Petrusev | 2018-20 | EuroLeague | DUBAI BASKETBALL | 6 | 15.3 | 7.0 | 2.7 | 0.7 |
| N. Williams-Goss | 2016-17 | EuroLeague | ZALGIRIS KAUNAS | 2 | 18.6 | 7.0 | 1.5 | 4.5 |
| D. Timme | 2019-23 | G League | South Bay Lakers | 13 | 31.2 | 23.7 | 8.5 | 5.0 |
| Malachi Smith | 2022-23 | G League | Long Island Nets | 26 | 30.1 | 15.5 | 4.8 | 6.6 |
| H. Sallis | 2021-23 | G League | San Diego Clippers (2 teams) | 27 | 27.7 | 13.2 | 3.2 | 2.4 |
| Anton Watson | 2019-24 | G League | South Bay Lakers | 35 | 27.2 | 11.3 | 5.1 | 3.0 |
| Nolan Hickman | 2021-25 | G League | Capital City Go-Go | 33 | 30.5 | 10.8 | 2.4 | 3.5 |
| K. Olynyk | 2009-13 | EuroCup | ROMA BASKETBALL | 2 | 19.5 | 13.0 | 3.0 | 1.5 |
| K. Wiltjer | 2014-16 | EuroCup | UMANA REYER VENICE | 4 | 17.0 | 10.5 | 3.0 | 0.8 |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-10-23 | R. Hachimura | NBA | LA Clippers | @ Los Angeles Lakers | 33 | 16 | 6 | 1 | Box |
| 2026-10-23 | J. Suggs | NBA | Orlando Magic | vs Minnesota Timberwolves | 34 | 14 | 6 | 6 | Box |
| 2026-10-23 | D. Sabonis | NBA | Sacramento Kings | vs Portland Trail Blazers | 39 | 27 | 19 | 10 | Box |
| 2026-10-23 | Corey Kispert | NBA | Atlanta Hawks | @ Charlotte Hornets | 10 | 11 | 1 | 1 | Box |
| 2026-10-23 | A. Nembhard | NBA | Indiana Pacers | vs Dallas Mavericks | 32 | 16 | 2 | 5 | Box |
| 2026-10-22 | Ryan Nembhard | NBA | Denver Nuggets | @ Oklahoma City Thunder | 2 | 5 | 1 | 1 | Box |
| 2026-10-22 | F. Petrusev | EuroLeague REGULAR SEASON | DUBAI BASKETBALL | @ FC BAYERN MUNICH | 16 | 8 | 3 | 0 | Box |
| 2026-10-22 | C. Holmgren | NBA | Oklahoma City Thunder | vs Denver Nuggets | 28 | 12 | 17 | 2 | Box |
| 2026-10-21 | Zach Collins | NBA | Chicago Bulls | @ Toronto Raptors | 9 | 0 | 5 | 0 | Box |
| 2026-10-21 | R. Hachimura | NBA | LA Clippers | vs Sacramento Kings | 32 | 10 | 8 | 2 | Box |
| 2026-10-21 | K. Wiltjer | EuroCup REGULAR SEASON | UMANA REYER VENICE | @ MAXIMA ROMA | 11 | 6 | 1 | 0 | Box |
| 2026-10-21 | J. Suggs | NBA | Orlando Magic | vs Atlanta Hawks | 32 | 6 | 3 | 5 | Box |
| 2026-10-21 | D. Sabonis | NBA | Sacramento Kings | @ LA Clippers | 34 | 14 | 18 | 8 | Box |
| 2026-10-21 | A. Nembhard | NBA | Indiana Pacers | @ New Orleans Pelicans | 34 | 18 | 2 | 9 | Box |
| 2026-10-20 | K. Olynyk | EuroCup REGULAR SEASON | ROMA BASKETBALL | @ KIDS&US MANRESA | 18 | 11 | 4 | 1 | Box |
| 2026-10-20 | C. Holmgren | NBA | Oklahoma City Thunder | @ San Antonio Spurs | 31 | 14 | 7 | 2 | Box |
| 2026-10-16 | N. Williams-Goss | EuroLeague REGULAR SEASON | ZALGIRIS KAUNAS | vs ANADOLU EFES ISTANBUL | 12 | 0 | 1 | 3 | Box |
| 2026-10-16 | Malachi Smith | NBA Preseason | Toronto Raptors | @ Detroit Pistons | 33 | 24 | 7 | 3 | Box |
| 2026-10-16 | J. Suggs | NBA Preseason | Orlando Magic | vs Miami Heat | 21 | 8 | 3 | 4 | Box |
| 2026-10-16 | D. Timme | NBA Preseason | Minnesota Timberwolves | @ Chicago Bulls | 27 | 18 | 7 | 3 | Box |
| 2026-10-16 | D. Sabonis | NBA Preseason | Sacramento Kings | @ San Antonio Spurs | 30 | 14 | 10 | 1 | Box |
| 2026-10-16 | Corey Kispert | NBA Preseason | Atlanta Hawks | @ Dallas Mavericks | 8 | 3 | 1 | 0 | Box |
| 2026-10-16 | A. Nembhard | NBA Preseason | Indiana Pacers | vs Milwaukee Bucks | 20 | 11 | 0 | 7 | Box |
| 2026-10-15 | Malachi Smith | NBA Preseason | Toronto Raptors | @ New York Knicks | 3 | 8 | 0 | 0 | Box |
| 2026-10-15 | F. Petrusev | EuroLeague REGULAR SEASON | DUBAI BASKETBALL | @ ARMANI OLIMPIA MILAN | 18 | 7 | 3 | 0 | Box |
2025-2026 Shot Zones
2214 located field-goal attempts in 35 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Graham IkeTyon Grant-FosterBraden HuffM. Saint-SupéryAdam MillerEmmanuel InnocentiSteele Venters
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 465-638 | 72.9 | 930 | Graham Ike 21% (198 pts) | Tyon Grant-Foster 19% (176 pts) | Tyon Grant-Foster 23% (39 misses) | Graham Ike 18% (31 misses) |
| Paint (non-RA) | 302-604 | 50.0 | 604 | Graham Ike 27% (164 pts) | Braden Huff 22% (134 pts) | Graham Ike 21% (64 misses) | Tyon Grant-Foster 17% (52 misses) |
| Mid-range left | 48-104 | 46.2 | 96 | Graham Ike 33% (32 pts) | Braden Huff 21% (20 pts) | Graham Ike 27% (15 misses) | Davis Fogle 18% (10 misses) |
| Mid-range center | 20-57 | 35.1 | 40 | Braden Huff 15% (6 pts) | Emmanuel Innocenti 15% (6 pts) | Graham Ike 35% (13 misses) | Braeden Smith 19% (7 misses) |
| Mid-range right | 57-129 | 44.2 | 114 | Graham Ike 23% (26 pts) | Braeden Smith 18% (20 pts) | Graham Ike 19% (14 misses) | Tyon Grant-Foster 15% (11 misses) |
| Left corner 3 | 18-52 | 34.6 | 54 | Emmanuel Innocenti 44% (24 pts) | Steele Venters 22% (12 pts) | Steele Venters 29% (10 misses) | Emmanuel Innocenti 24% (8 misses) |
| Right corner 3 | 16-41 | 39.0 | 48 | Adam Miller 19% (9 pts) | M. Saint-Supéry 19% (9 pts) | Adam Miller 28% (7 misses) | Tyon Grant-Foster 20% (5 misses) |
| Above-break 3 left | 68-216 | 31.5 | 204 | Steele Venters 21% (42 pts) | M. Saint-Supéry 19% (39 pts) | Adam Miller 22% (32 misses) | Steele Venters 16% (23 misses) |
| Above-break 3 center | 52-156 | 33.3 | 156 | Graham Ike 29% (45 pts) | Adam Miller 21% (33 pts) | Graham Ike 31% (32 misses) | M. Saint-Supéry 16% (17 misses) |
| Above-break 3 right | 73-217 | 33.6 | 219 | M. Saint-Supéry 30% (66 pts) | Adam Miller 16% (36 pts) | Adam Miller 23% (33 misses) | M. Saint-Supéry 22% (31 misses) |