Louisville
2026 Team Stats (35 games)
84.3
PPG
72.5
Opp
+11.8
Margin
47.0%
FG%
36.0%
3P%
76.1%
FT%
38.3
RPG
17.1
APG
11.9
TO
81.7
Pace
88.5
AdjO
67.0
AdjD
#14
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 → | 1287 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1242 (#34) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1061 (#87) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.7 (#13) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.6 (#26) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.849 (#15) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.912 (#43) | NetEff +19.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.961 (#15) | AdjNet +27.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.963 (#13) | AdjNet +28.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.877 (#14) | AdjO 88.5 | AdjD 67.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.730 (#27) | AdjO 80.0 | AdjD 69.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.944 (#18) | 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 → | 0.921 (#21) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1272 (#38) | RD 105 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Conwell
|
G | 34 | 30.9 | 18.8 | 4.8 | 2.7 | 1.1 | 0.2 | 2.1 | 14.5 | 10.9 | 138 | 6.9 | 9.8 | 40.8 | 34.5 | 83.2 | 0.63 | 57.1 | 52.1 |
Mikel Brown Jr.
|
- | 21 | 29.2 | 18.2 | 3.3 | 4.7 | 1.2 | 0.1 | 3.1 | 13.0 | 11.5 | 120 | 9.2 | 14.2 | 41.0 | 34.4 | 84.4 | 1.02 | 58.5 | 51.1 |
J. Hadley
|
- | 34 | 28.0 | 11.5 | 5.1 | 1.8 | 1.0 | 0.3 | 0.9 | 7.6 | 11.1 | 143 | 7.2 | 11.1 | 56.2 | 44.0 | 70.5 | 0.93 | 65.4 | 63.3 |
I. McKneely
|
- | 35 | 29.0 | 10.9 | 3.0 | 1.4 | 0.5 | 0.1 | 0.9 | 8.4 | 6.7 | 205 | 8.9 | 14.2 | 41.6 | 39.5 | 86.0 | 1.5 | 60.8 | 58.0 |
Sananda Fru
|
- | 35 | 22.0 | 9.0 | 6.1 | 1.2 | 0.5 | 1.4 | 1.4 | 4.9 | 12.0 | 185 | 8.8 | 16.3 | 75.3 | 50.0 | 61.1 | 1.6 | 75.1 | 76.5 |
A. Wooley
|
- | 35 | 22.5 | 8.7 | 3.9 | 1.8 | 0.7 | 0.1 | 1.1 | 6.5 | 7.4 | 204 | 9.7 | 17.7 | 45.0 | 35.0 | 77.8 | 1.9 | 58.1 | 53.9 |
K. Rooths
|
- | 31 | 15.9 | 5.3 | 4.3 | 1.0 | 0.6 | 0.5 | 0.7 | 4.1 | 6.7 | 145 | 8.5 | 21.0 | 44.9 | 22.4 | 64.9 | 1.29 | 53.9 | 50.0 |
A. Khalifa
|
- | 35 | 11.9 | 3.3 | 1.9 | 2.5 | 0.3 | 0.4 | 0.9 | 2.7 | 4.7 | 114 | 5.4 | 18.3 | 43.8 | 40.9 | 62.5 | 1.01 | 58.3 | 57.8 |
K. Rodgers
|
- | 34 | 14.2 | 3.3 | 2.5 | 1.5 | 0.9 | 0.1 | 0.8 | 2.3 | 5.3 | 152 | 7.6 | 21.9 | 46.8 | 34.4 | 87.9 | 1.26 | 61.2 | 53.9 |
Vangelis Zougris
|
- | 27 | 9.0 | 2.6 | 2.4 | 0.6 | 0.3 | 0.2 | 0.8 | 1.8 | 3.6 | 37 | 2.6 | 14.7 | 57.1 | 0 | 65.2 | 0.16 | 60.0 | 57.1 |
K. Pryor
|
- | 23 | 6.5 | 2.2 | 1.8 | 0.3 | 0.4 | 0.2 | 0.5 | 2.1 | 2.3 | 43 | 3.3 | 18.0 | 41.7 | 22.7 | 50.0 | 0.34 | 47.9 | 46.9 |
C. Sherman
|
- | 10 | 1.1 | 1.2 | 0.0 | 0.1 | 0.1 | 0.0 | 0.2 | 0.9 | 0.3 | 4 | 0.6 | 24.1 | 44.4 | 44.4 | 0 | 0.05 | 66.7 | 66.7 |
S. Legg
|
- | 9 | 0.9 | 0.8 | 0.4 | 0.2 | 0.0 | 0.0 | 0.3 | 0.4 | 0.7 | 4 | 0.7 | 34.3 | 50.0 | 33.3 | 100.0 | 0.04 | 71.7 | 62.5 |
Will Hanke
|
- | 10 | 1.0 | 0.2 | 0.4 | 0.0 | 0.0 | 0.1 | 0.0 | 0.3 | 0.4 | 2 | 0.3 | 12.7 | 33.3 | 0 | 0 | 0.01 | 33.3 | 33.3 |
L. Johnson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -17 | -3.4 | -13.9 | - | - | - | 0.23 | - | - |
Mouhamed Camara
|
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