Baylor
2026 Team Stats (32 games)
81.6
PPG
76.7
Opp
+4.9
Margin
47.8%
FG%
33.7%
3P%
73.4%
FT%
36.4
RPG
15.2
APG
11.3
TO
81.3
Pace
85.6
AdjO
71.5
AdjD
#45
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 → | 992 (#184) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1142 (#78) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 978 (#553) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.2 (#45) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.6 (#47) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.626 (#99) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.065 (#325) | NetEff -28.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.888 (#48) | AdjNet +17.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.891 (#48) | AdjNet +18.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.782 (#45) | AdjO 85.6 | AdjD 71.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.651 (#67) | AdjO 78.0 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.883 (#61) | 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 → | 0.848 (#64) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1128 (#109) | RD 113 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Carr
|
G | 32 | 33.9 | 19.1 | 5.7 | 2.8 | 0.9 | 1.2 | 2.4 | 12.8 | 14.4 | 232 | 10.5 | 16.2 | 49.6 | 38.5 | 79.4 | 2.02 | 63.4 | 58.8 |
Tounde Yessoufou
|
- | 32 | 32.8 | 17.7 | 5.9 | 1.6 | 2.0 | 0.6 | 1.9 | 14.2 | 11.7 | 134 | 6.4 | 10.1 | 46.4 | 28.2 | 75.0 | 0.67 | 55.3 | 51.6 |
I. Williams IV
|
G | 32 | 25.0 | 10.7 | 2.1 | 3.1 | 0.8 | 0.5 | 1.5 | 7.1 | 8.5 | - | - | - | 56.6 | 43.8 | 67.7 | - | 63.7 | 61.3 |
Obi Agbim
|
- | 31 | 33.5 | 10.5 | 2.7 | 3.1 | 0.8 | 0.1 | 1.1 | 9.6 | 6.4 | 82 | 4.1 | 5.8 | 37.1 | 35.3 | 84.6 | 0.62 | 51.7 | 49.2 |
D. Skillings Jr.
|
G | 27 | 25.6 | 9.4 | 5.5 | 2.0 | 0.8 | 0.1 | 1.1 | 7.7 | 9.0 | -43 | -3.1 | -11.8 | 45.4 | 31.0 | 68.8 | 1.14 | 54.0 | 50.7 |
M. Rataj
|
G | 32 | 22.7 | 7.2 | 4.7 | 1.7 | 0.5 | 0.4 | 1.3 | 6.1 | 7.0 | 78 | 3.7 | 6.7 | 43.1 | 20.0 | 70.7 | -0.07 | 50.7 | 45.6 |
C. Powell
|
- | 32 | 24.2 | 6.7 | 6.2 | 1.3 | 0.5 | 0.8 | 1.2 | 3.6 | 10.7 | 125 | 6.0 | 12.3 | 67.8 | 0.0 | 69.5 | 0.92 | 70.5 | 67.8 |
W. Kuykendall
|
- | 9 | 3.4 | 2.0 | 0.3 | 0.1 | 0.0 | 0.0 | 0.6 | 1.2 | 0.7 | 18 | 3.0 | 42.7 | 54.5 | 44.4 | 100.0 | -0.01 | 75.8 | 72.7 |
James Goodis
|
G | 3 | 2.7 | 1.7 | 0.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.7 | 1.7 | - | - | - | 100.0 | 100.0 | 0 | - | 125.0 | 125.0 |
J. Nnaji
|
C | 18 | 8.2 | 1.4 | 2.1 | 0.2 | 0.3 | 0.3 | 0.4 | 0.7 | 3.1 | - | - | - | 69.2 | 0 | 57.1 | -0.27 | 67.8 | 69.2 |
Drew Perry
|
- | 8 | 2.8 | 1.2 | 0.0 | 0.0 | 0.1 | 0.0 | 0.2 | 0.8 | 0.4 | 9 | 1.5 | 26.1 | 33.3 | 33.3 | 66.7 | -0.05 | 57.9 | 50.0 |
JJ White
|
- | 2 | 7.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.5 | -4 | -1.0 | -6.0 | 0.0 | 0.0 | 0 | -0.14 | 0.0 | 0.0 |
J. Bodo Bodo
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Andre Iguodala II
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 64 | 3.0 | 8.4 | - | - | - | 0.67 | - | - |
Mayo Soyoye
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Maikcol Perez
|
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