Baylor
2025 Team Stats (22 games)
76.7
PPG
71.6
Opp
+5.8
Margin
44.3%
FG%
34.6%
3P%
74.4%
FT%
36.3
RPG
14.1
APG
10.9
TO
80.8
Pace
82.0
AdjO
64.4
AdjD
#25
Rank
Model Outputs
2024-2025
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 → | 1081 (#108) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1228 (#39) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.8 (#24) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.685 (#80) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.685 (#80) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.945 (#24) | AdjNet +24.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.948 (#24) | AdjNet +25.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.832 (#25) | AdjO 82.0 | AdjD 64.4 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Norchad Omier
|
- | 23 | 30.6 | 16.0 | 10.6 | 1.5 | 1.2 | 1.0 | 2.5 | 10.6 | 17.2 | 107 | 3.1 | 4.3 | 56.1 | 24.4 | 74.1 | 2.37 | 62.7 | 58.4 |
V.J. Edgecombe
|
- | 21 | 30.9 | 13.7 | 5.7 | 2.9 | 2.2 | 0.8 | 2.1 | 10.9 | 12.3 | 146 | 4.4 | 6.1 | 42.4 | 27.6 | 78.7 | 1.77 | 53.7 | 47.6 |
R. Wright III
|
- | 23 | 29.1 | 12.1 | 2.0 | 4.5 | 1.1 | 0.0 | 1.9 | 10.7 | 7.3 | 144 | 5.5 | 8.3 | 43.3 | 36.2 | 79.3 | 0.74 | 51.6 | 47.6 |
Jeremy Roach
|
- | 20 | 28.4 | 10.7 | 2.0 | 2.7 | 0.8 | 0.1 | 1.4 | 9.8 | 5.1 | -24 | -1.1 | -1.5 | 39.6 | 36.5 | 78.8 | 0.41 | 50.3 | 47.5 |
L. Love
|
- | 13 | 25.7 | 8.6 | 2.8 | 0.9 | 0.5 | 0.2 | 1.1 | 7.9 | 4.0 | -14 | -1.1 | -1.4 | 41.7 | 36.2 | 62.5 | 0.59 | 52.6 | 51.9 |
Jayden Nunn
|
- | 23 | 27.6 | 8.6 | 2.7 | 1.8 | 1.1 | 0.1 | 0.7 | 7.7 | 6.0 | 212 | 6.6 | 10.6 | 39.0 | 43.9 | 59.1 | 2.78 | 53.0 | 52.3 |
J. Ojianwuna
|
- | 17 | 24.8 | 7.8 | 6.4 | 0.6 | 1.1 | 0.9 | 0.9 | 3.5 | 12.4 | 115 | 5.2 | 9.3 | 79.7 | 0.0 | 67.2 | 1.12 | 78.7 | 79.7 |
J. Celestine
|
- | 21 | 24.0 | 6.4 | 3.2 | 0.8 | 0.6 | 0.2 | 0.6 | 6.1 | 4.5 | 64 | 3.0 | 5.2 | 34.4 | 34.0 | 81.2 | 1.38 | 49.6 | 47.3 |
J. Asemota
|
- | 15 | 5.8 | 1.9 | 1.7 | 0.2 | 0.4 | 0.1 | 0.1 | 1.9 | 2.3 | -27 | -2.1 | -15.8 | 35.7 | 25.0 | 50.0 | -0.43 | 44.4 | 42.9 |
O. Adegbola
|
- | 9 | 2.3 | 1.3 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 1.1 | 0.8 | 2 | 1.0 | 28.1 | 50.0 | 33.3 | 100.0 | -1.45 | 57.5 | 55.0 |
M. Dubravcic
|
- | 11 | 3.4 | 0.8 | 0.6 | 0.0 | 0.1 | 0.0 | 0.4 | 0.5 | 0.6 | -3 | -0.3 | -3.9 | 50.0 | 0 | 75.0 | -0.58 | 58.0 | 50.0 |
Davidson Hubbard
|
- | 9 | 2.3 | 0.8 | 0.6 | 0.0 | 0.0 | 0.1 | 0.1 | 0.7 | 0.7 | 2 | 1.0 | 28.1 | 50.0 | 33.3 | 0 | -1.45 | 58.3 | 58.3 |
M. Little
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -4 | -0.1 | -0.3 | - | - | - | 0.24 | - | - |
Y. Ndjonga
|
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