Oklahoma
2026 Team Stats (36 games)
83.3
PPG
77.2
Opp
+6.0
Margin
47.3%
FG%
36.8%
3P%
75.9%
FT%
35.6
RPG
14.5
APG
9.9
TO
79.9
Pace
82.7
AdjO
68.4
AdjD
#44
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 → | 1172 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1207 (#47) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1083 (#66) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.5 (#43) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.6 (#24) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.697 (#71) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.216 (#271) | NetEff -12.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.890 (#47) | AdjNet +18.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.893 (#46) | AdjNet +18.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.785 (#44) | AdjO 82.7 | AdjD 68.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.729 (#29) | AdjO 82.0 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.919 (#39) | 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 → | 0.897 (#39) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1221 (#56) | RD 100 | GP 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Pack
|
G | 36 | 30.6 | 17.1 | 3.0 | 3.2 | 0.8 | 0.3 | 1.8 | 12.9 | 9.7 | 114 | 5.2 | 7.9 | 47.3 | 45.2 | 87.1 | 1.06 | 62.6 | 60.5 |
X. Brown
|
G | 36 | 32.3 | 15.5 | 3.3 | 3.3 | 1.3 | 0.2 | 1.6 | 12.0 | 9.9 | 58 | 2.6 | 3.6 | 45.7 | 35.0 | 87.8 | 0.17 | 57.8 | 52.9 |
T. Davis
|
- | 36 | 29.9 | 13.1 | 5.7 | 2.3 | 0.7 | 0.2 | 1.8 | 9.8 | 10.3 | 89 | 4.0 | 6.2 | 49.9 | 22.2 | 70.3 | 0.7 | 56.2 | 51.6 |
D. Reid
|
F | 36 | 27.7 | 11.9 | 4.5 | 1.2 | 0.5 | 0.2 | 1.1 | 7.4 | 9.9 | 39 | 1.8 | 2.9 | 52.3 | 37.0 | 76.1 | 0.13 | 64.3 | 58.6 |
M. Wague
|
- | 36 | 22.4 | 7.0 | 6.8 | 1.3 | 0.7 | 1.5 | 1.2 | 3.8 | 12.2 | 111 | 5.0 | 10.4 | 60.1 | 20.0 | 68.0 | 1.1 | 65.3 | 60.5 |
K. Atak
|
- | 23 | 12.4 | 6.8 | 1.3 | 0.2 | 0.2 | 0.4 | 0.4 | 5.1 | 3.3 | 65 | 3.8 | 14.2 | 46.6 | 40.6 | 77.8 | 0.3 | 64.0 | 63.1 |
J. Jones
|
- | 32 | 20.2 | 5.6 | 3.3 | 0.8 | 1.2 | 0.8 | 0.4 | 4.3 | 7.1 | -5 | -0.4 | -68.2 | 38.7 | 35.4 | 73.3 | -0.06 | 57.1 | 53.3 |
D. Forsythe
|
- | 27 | 17.5 | 5.4 | 1.4 | 1.7 | 0.6 | 0.0 | 1.0 | 4.5 | 3.7 | 24 | 1.5 | 4.3 | 34.7 | 29.6 | 85.5 | 0.05 | 50.6 | 41.3 |
K. Elatontsev
|
C | 23 | 13.9 | 4.1 | 2.4 | 0.6 | 0.6 | 0.3 | 0.3 | 2.7 | 5.0 | - | - | - | 52.5 | 33.3 | 73.1 | -0.3 | 64.9 | 61.5 |
J. Nwankwo
|
- | 23 | 10.9 | 2.6 | 2.3 | 0.7 | 0.5 | 0.0 | 0.4 | 3.0 | 2.6 | 83 | 4.0 | 14.1 | 29.0 | 20.0 | 50.0 | 0.85 | 37.9 | 35.5 |
Kai Rogers
|
- | 22 | 7.9 | 1.5 | 1.9 | 0.4 | 0.2 | 0.4 | 0.4 | 1.0 | 3.0 | 2 | 0.1 | 0.8 | 71.4 | 0 | 66.7 | -0.04 | 71.7 | 71.4 |
Alec Blair
|
G | 1 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3 | 3.0 | 42.1 | 0 | 0 | 50.0 | 0.03 | 56.8 | 0 |
R. Lovelace
|
- | 9 | 0.8 | 0.3 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.3 | 0.4 | 6 | 1.0 | 26.8 | 33.3 | 33.3 | 0 | 0.04 | 50.0 | 50.0 |
Andreas Holst
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jake Hansen
|
G | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | -1 | -0.3 | -20.2 | 0.0 | 0.0 | 0 | -0.05 | 0.0 | 0.0 |
Finley Keeffe
|
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