Oregon Ducks
2026 Team Stats (32 games)
74.2
PPG
67.0
Opp
+7.2
Margin
45.4%
FG%
35.1%
3P%
75.6%
FT%
35.6
RPG
16.3
APG
15.0
TO
82.6
Pace
78.5
AdjO
53.9
AdjD
#25
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 → | 1166 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1270 (#40) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1091 (#74) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.5 (#26) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +33.3 (#32) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.827 (#61) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.919 (#32) | NetEff +19.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.986 (#27) | AdjNet +36.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.987 (#27) | AdjNet +37.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.903 (#25) | AdjO 78.5 | AdjD 53.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.729 (#47) | AdjO 71.5 | AdjD 60.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.960 (#25) | 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 → | 0.941 (#30) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1252 (#46) | RD 111 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Fiso
|
G | 32 | 32.5 | 15.8 | 3.6 | 6.0 | 1.3 | 0.3 | 3.8 | 13.0 | 10.3 | 202 | 8.1 | 10.8 | 49.6 | 30.0 | 76.6 | 2.51 | 54.8 | 51.1 |
E. Etute
|
F | 31 | 24.8 | 13.2 | 9.4 | 1.6 | 1.3 | 0.8 | 2.4 | 9.3 | 14.6 | 143 | 6.0 | 11.7 | 52.2 | 50.0 | 71.3 | 4.38 | 57.7 | 52.4 |
M. Jacobs
|
F | 30 | 26.9 | 12.5 | 5.0 | 1.6 | 0.9 | 0.5 | 2.5 | 9.3 | 8.7 | 226 | 9.0 | 13.4 | 40.5 | 36.1 | 82.5 | 4.75 | 57.1 | 50.5 |
E. Mevius
|
G | 1 | 22.0 | 10.0 | 2.0 | 4.0 | 2.0 | 0.0 | 1.0 | 7.0 | 10.0 | 10 | 5.0 | 6.4 | 57.1 | 0 | 100.0 | -1.43 | 63.5 | 57.1 |
S. Bell
|
G | 32 | 31.4 | 7.0 | 2.8 | 2.0 | 1.5 | 0.5 | 0.9 | 6.1 | 6.9 | 112 | 4.5 | 6.0 | 40.2 | 36.4 | 76.5 | -0.74 | 55.8 | 54.6 |
A. Long
|
G | 32 | 25.3 | 6.3 | 3.8 | 1.7 | 1.8 | 0.3 | 1.1 | 6.7 | 6.3 | 159 | 6.4 | 9.8 | 37.1 | 30.9 | 83.3 | 2.29 | 45.9 | 44.1 |
S. Rambus
|
F | 32 | 13.9 | 6.1 | 2.2 | 0.7 | 0.3 | 0.5 | 1.8 | 4.8 | 3.2 | 51 | 2.0 | 4.6 | 53.9 | 0 | 62.7 | 0.58 | 56.2 | 53.9 |
A. Tuhina
|
G | 30 | 14.6 | 4.7 | 1.1 | 1.4 | 0.6 | 0.1 | 0.6 | 3.9 | 3.4 | 1 | 0.0 | 0.1 | 44.4 | 37.7 | 88.9 | -0.14 | 56.0 | 53.0 |
A. Cain
|
G | 32 | 14.8 | 4.0 | 1.2 | 0.6 | 0.4 | 0.3 | 0.8 | 3.8 | 1.9 | 61 | 2.4 | 6.1 | 37.5 | 38.3 | 70.0 | 0.4 | 51.4 | 50.4 |
A. Muhammad
|
F | 32 | 10.7 | 3.2 | 1.9 | 0.5 | 0.6 | 0.2 | 0.8 | 2.1 | 3.6 | 8 | 0.3 | 0.8 | 57.4 | 0 | 76.5 | -2.39 | 62.7 | 57.4 |
J. Williams
|
G | 25 | 6.3 | 2.0 | 0.4 | 0.1 | 0.3 | 0.0 | 0.1 | 1.7 | 1.0 | -14 | -0.6 | -1.0 | 42.9 | 37.5 | 69.2 | -0.89 | 53.4 | 50.0 |
F. Tilliander
|
F | 21 | 5.4 | 0.9 | 1.3 | 0.2 | 0.1 | 0.0 | 0.3 | 0.7 | 1.6 | 9 | 0.5 | 5.1 | 35.7 | 0 | 90.0 | -0.45 | 51.6 | 35.7 |
S. Barhoum
|
G | 13 | 4.4 | 0.5 | 0.3 | 0.1 | 0.1 | 0.1 | 0.0 | 0.8 | 0.2 | -3 | -0.3 | -2.7 | 18.2 | 20.0 | 0 | 0.18 | 27.3 | 27.3 |
S. Wagner
|
G | 7 | 2.4 | 0.1 | 0.3 | 0.1 | 0.1 | 0.1 | 0.1 | 0.4 | 0.3 | 51 | 2.2 | 2.6 | 0.0 | 0.0 | 50.0 | 1.97 | 12.9 | 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