Baylor
2024 Team Stats (34 games)
80.9
PPG
71.1
Opp
+9.3
Margin
48.6%
FG%
39.5%
3P%
73.4%
FT%
34.9
RPG
14.7
APG
12.0
TO
79.1
Pace
Model Outputs
2023-2024
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 → | 1341 (#36) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1408 (#22) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.5 (#19) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.571 (#42) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.804 (#22) | NetEff +13.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.746 (#25) | AdjNet +9.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.748 (#25) | AdjNet +9.4 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Walter
|
- | 35 | 32.3 | 14.5 | 4.4 | 1.4 | 1.1 | 0.2 | 1.3 | 10.9 | 9.4 | 23 | 2.1 | 2.5 | 37.6 | 34.1 | 79.2 | 0.11 | 54.8 | 47.4 |
R. Dennis
|
- | 35 | 34.3 | 13.6 | 3.9 | 6.7 | 1.4 | 0.1 | 3.5 | 10.7 | 11.4 | 37 | 3.4 | 3.8 | 47.9 | 32.8 | 73.1 | 0.41 | 56.3 | 53.1 |
Jalen Bridges
|
- | 35 | 31.8 | 12.2 | 5.7 | 1.4 | 1.1 | 0.6 | 1.0 | 8.8 | 11.1 | 26 | 2.4 | 2.8 | 46.6 | 41.2 | 82.3 | 0.23 | 62.0 | 58.4 |
L. Love
|
- | 24 | 24.8 | 11.0 | 2.9 | 1.2 | 0.4 | 0.2 | 1.0 | 7.8 | 6.8 | 2 | 1.0 | 2.2 | 46.5 | 48.0 | 78.3 | 0.13 | 60.7 | 56.1 |
Y. Missi
|
- | 34 | 23.0 | 10.7 | 5.6 | 0.4 | 0.6 | 1.5 | 1.1 | 6.7 | 11.0 | -24 | -2.2 | -3.9 | 61.4 | 0 | 61.6 | -0.27 | 63.2 | 61.4 |
Jayden Nunn
|
- | 35 | 28.6 | 10.5 | 2.6 | 2.0 | 1.3 | 0.4 | 1.4 | 7.3 | 8.1 | 23 | 1.5 | 2.8 | 45.5 | 43.9 | 70.9 | 0.24 | 59.5 | 55.3 |
J. Ojianwuna
|
- | 35 | 15.5 | 4.9 | 3.4 | 0.3 | 0.5 | 0.1 | 1.0 | 2.8 | 5.4 | 46 | 4.2 | 12.1 | 73.5 | 0.0 | 63.0 | 0.48 | 73.2 | 73.5 |
D. Grimes
|
- | 12 | 8.2 | 4.7 | 1.2 | 1.3 | 0.7 | 0.0 | 0.2 | 2.5 | 5.2 | - | - | - | 60.0 | 66.7 | 80.0 | - | 76.5 | 73.3 |
C. Lohner
|
- | 35 | 9.2 | 2.4 | 2.3 | 0.3 | 0.2 | 0.1 | 0.4 | 1.7 | 3.1 | 0 | 0.0 | 0.0 | 54.2 | 25.0 | 77.3 | 0.01 | 61.2 | 56.8 |
M. Little
|
- | 34 | 7.1 | 1.7 | 1.2 | 0.7 | 0.1 | 0.0 | 0.4 | 1.2 | 2.1 | 1 | 0.1 | 0.6 | 42.9 | 36.0 | 72.2 | -0.04 | 58.1 | 53.6 |
J. Tchamwa Tchatchoua
|
- | 19 | 5.4 | 1.4 | 1.2 | 0.3 | 0.1 | 0.2 | 0.5 | 1.3 | 1.3 | 8 | 1.6 | 27.9 | 45.8 | 40.0 | 0 | 0.09 | 54.2 | 54.2 |
A. Sacks
|
- | 10 | 1.7 | 1.2 | 0.2 | 0.1 | 0.0 | 0.0 | 0.4 | 0.8 | 0.3 | 3 | 1.5 | 66.1 | 50.0 | 50.0 | 0 | 0.06 | 75.0 | 75.0 |
O. Adegbola
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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