Lamar Cardinals
2026 Team Stats (28 games)
65.4
PPG
58.0
Opp
+7.4
Margin
40.8%
FG%
33.8%
3P%
68.7%
FT%
38.0
RPG
12.0
APG
17.5
TO
83.2
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1039 (#141) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.6 (#218) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.544 (#178) | AdjO 62.0 | AdjD 60.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.742 (#175) | 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 → | 0.713 (#170) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1101 (#138) | RD 119 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Wilson
|
G | 28 | 28.4 | 11.2 | 3.8 | 1.8 | 1.4 | 0.1 | 1.9 | 10.1 | 6.3 | 13 | 0.6 | 0.9 | 38.0 | 34.0 | 74.1 | 3.25 | 48.8 | 44.2 |
J. Denley
|
G | 26 | 28.5 | 10.2 | 2.8 | 3.0 | 1.8 | 0.2 | 2.4 | 8.7 | 6.8 | 14 | 0.8 | 1.2 | 44.0 | 43.2 | 69.4 | 1.34 | 53.5 | 51.1 |
S. Forman
|
G | 28 | 25.5 | 9.8 | 3.8 | 1.4 | 1.5 | 0.1 | 2.6 | 9.1 | 4.9 | -3 | -0.1 | -0.3 | 34.3 | 30.1 | 68.4 | 0.22 | 45.0 | 38.6 |
R. Taylor
|
G | 27 | 25.6 | 7.7 | 1.8 | 3.0 | 1.2 | 0.1 | 3.3 | 7.0 | 3.5 | -6 | -0.3 | -0.5 | 41.0 | 37.3 | 66.7 | -0.7 | 49.2 | 46.0 |
S. Olenga
|
F | 28 | 17.8 | 7.0 | 5.8 | 0.2 | 0.9 | 0.6 | 1.1 | 5.4 | 8.0 | 6 | 0.3 | 0.7 | 49.0 | 33.3 | 70.6 | -0.22 | 54.4 | 49.3 |
T. Miner
|
G | 27 | 20.7 | 6.0 | 4.3 | 0.9 | 1.1 | 0.7 | 1.3 | 5.0 | 6.7 | -41 | -2.0 | -4.8 | 47.8 | 40.9 | 77.4 | -0.61 | 54.5 | 51.1 |
T. Hill
|
F | 24 | 21.4 | 4.7 | 4.0 | 0.8 | 0.5 | 0.3 | 1.0 | 2.7 | 6.5 | 15 | 0.9 | 1.7 | 58.5 | 0 | 65.5 | 1.4 | 62.8 | 58.5 |
M. Powell
|
F | 17 | 14.8 | 3.9 | 2.6 | 0.5 | 0.7 | 0.1 | 1.5 | 3.6 | 2.7 | -34 | -2.0 | -5.7 | 37.7 | 23.1 | 60.7 | 0.95 | 45.0 | 40.2 |
C. Oguego
|
G | 20 | 14.9 | 3.8 | 5.3 | 0.2 | 1.4 | 0.3 | 0.9 | 3.8 | 6.4 | 78 | 3.7 | 11.8 | 43.4 | 0.0 | 41.7 | 5.13 | 43.9 | 43.4 |
KJ Walker
|
G | 26 | 11.7 | 3.1 | 0.6 | 0.5 | 0.3 | 0.0 | 0.7 | 3.3 | 0.5 | -7 | -0.4 | -1.3 | 30.6 | 29.6 | 87.5 | -0.79 | 45.2 | 42.9 |
A. Parker
|
G | 19 | 9.6 | 2.6 | 2.1 | 0.4 | 0.6 | 0.1 | 0.6 | 1.8 | 3.4 | -5 | -5.0 | -93.0 | 41.2 | 40.0 | 72.0 | -1.1 | 55.6 | 47.1 |
K. McDaniel
|
G | 16 | 8.0 | 1.7 | 1.2 | 0.1 | 0.3 | 0.1 | 1.1 | 2.3 | 0.1 | 11 | 0.7 | 3.9 | 18.9 | 12.5 | 73.3 | 1.13 | 31.0 | 21.6 |
Melinda Winston
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Niyah Waters
|
G | 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