Western Kentucky Lady Toppers
2026 Team Stats (29 games)
57.4
PPG
64.9
Opp
-7.5
Margin
39.9%
FG%
29.1%
3P%
69.6%
FT%
30.4
RPG
11.7
APG
17.1
TO
76.4
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 → | 894 (#537) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.7 (#277) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.394 (#463) | AdjO 57.9 | AdjD 62.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.493 (#298) | 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 → | 0.461 (#303) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 869 (#461) | RD 150 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Rowe
|
G | 21 | 33.9 | 10.8 | 1.9 | 4.5 | 1.5 | 0.0 | 2.4 | 9.7 | 6.6 | -45 | -3.5 | -4.1 | 39.7 | 42.2 | 80.0 | -1.22 | 53.3 | 51.7 |
S. Khedr
|
G | 27 | 23.5 | 10.4 | 3.2 | 1.6 | 1.3 | 0.9 | 2.4 | 9.0 | 6.0 | -52 | -2.7 | -4.8 | 41.7 | 26.9 | 75.3 | -0.98 | 50.6 | 45.5 |
T. James
|
F | 29 | 26.6 | 8.2 | 3.9 | 0.9 | 0.7 | 0.8 | 1.8 | 6.0 | 6.8 | -35 | -1.5 | -3.1 | 52.0 | 0.0 | 67.8 | -0.6 | 56.6 | 52.0 |
Z. Telegdy
|
F | 29 | 27.8 | 8.1 | 4.4 | 1.4 | 1.1 | 0.9 | 2.1 | 8.4 | 5.4 | -2 | -0.1 | -0.2 | 35.8 | 22.6 | 74.4 | 1.49 | 45.4 | 42.6 |
T. Shelling
|
G | 28 | 26.0 | 6.9 | 3.5 | 2.3 | 2.6 | 0.1 | 2.5 | 6.8 | 6.2 | -81 | -4.0 | -6.1 | 40.7 | 22.2 | 62.0 | 0.45 | 45.7 | 42.9 |
J. Silva
|
F | 23 | 13.0 | 5.3 | 3.1 | 0.5 | 0.4 | 1.0 | 1.0 | 4.8 | 4.6 | -24 | -1.3 | -3.0 | 49.5 | 0.0 | 59.1 | -2.08 | 51.0 | 49.5 |
T. Boettjer
|
F | 29 | 20.7 | 4.3 | 2.1 | 0.3 | 0.2 | 0.4 | 0.9 | 4.3 | 2.2 | -54 | -2.6 | -5.6 | 33.9 | 32.5 | 50.0 | 0.15 | 49.3 | 49.2 |
M. Pratcher
|
F | 29 | 18.0 | 3.1 | 3.3 | 0.7 | 0.6 | 0.3 | 1.5 | 3.7 | 2.8 | -30 | -1.4 | -2.5 | 29.9 | 14.3 | 71.4 | -0.07 | 37.2 | 30.8 |
E. Ahervuo
|
G | 19 | 8.7 | 3.0 | 0.9 | 0.2 | 0.4 | 0.0 | 0.5 | 2.6 | 1.4 | -40 | -2.7 | -14.0 | 40.0 | 27.3 | 68.8 | -0.56 | 50.0 | 46.0 |
C. West
|
F | 27 | 11.9 | 2.2 | 1.6 | 0.5 | 0.4 | 0.0 | 1.0 | 2.4 | 1.3 | -82 | -3.9 | -12.6 | 33.8 | 32.4 | 83.3 | -4.62 | 44.4 | 42.3 |
Y. Acosta
|
G | 13 | 6.4 | 1.3 | 0.5 | 0.2 | 0.8 | 0.1 | 0.8 | 1.7 | 0.3 | -16 | -2.0 | -11.6 | 31.8 | 12.5 | 40.0 | -0.38 | 35.1 | 34.1 |
L. Bond
|
G | 18 | 9.8 | 0.9 | 0.7 | 0.6 | 0.4 | 0.0 | 0.9 | 1.5 | 0.3 | 3 | 0.2 | 0.9 | 25.9 | 16.7 | 0 | 0.43 | 31.5 | 31.5 |
T. Ademuwagun
|
G | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Elif Naz Dal
|
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