Western Kentucky Lady Toppers
2025 Team Stats (3 games)
68.7
PPG
75.0
Opp
-6.3
Margin
39.5%
FG%
33.3%
3P%
81.8%
FT%
30.3
RPG
13.7
APG
13.3
TO
78.7
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-28 | @ | Kentucky Wildcats | L | 70 - 88 |
| 2025-03-13 | vs | Florida International Panthers | W | 73 - 66 |
| 2025-03-14 | @ | Middle Tennessee Blue Raiders | L | 63 - 71 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Mead
|
G | 3 | 35.7 | 19.3 | 3.7 | 4.3 | 2.3 | 0.0 | 2.0 | 11.0 | 16.7 | 32 | 1.0 | 1.1 | 45.5 | 33.3 | 95.7 | 0.97 | 67.3 | 54.5 |
J. Gilvin
|
G | 3 | 33.0 | 13.0 | 9.0 | 1.7 | 1.7 | 0.0 | 1.7 | 11.3 | 12.3 | 43 | 1.3 | 1.5 | 44.1 | 31.2 | 66.7 | 1.23 | 53.2 | 51.5 |
A. Hayes
|
G | 2 | 31.0 | 12.0 | 3.0 | 1.5 | 1.0 | 0.0 | 2.0 | 13.0 | 2.5 | 3 | 0.1 | 0.1 | 30.8 | 22.2 | 85.7 | 0.91 | 41.3 | 34.6 |
D. Salary
|
G | 3 | 32.0 | 9.7 | 4.3 | 3.3 | 1.0 | 0.3 | 2.3 | 9.7 | 6.7 | 28 | 0.8 | 1.0 | 34.5 | 14.3 | 57.1 | 0.73 | 41.2 | 36.2 |
Z. Telegdy
|
F | 3 | 25.0 | 7.0 | 2.0 | 1.0 | 1.7 | 0.0 | 1.0 | 5.3 | 5.3 | 19 | 0.7 | 1.1 | 43.8 | 53.8 | 0 | 0.5 | 65.6 | 65.6 |
M. Chatfield
|
G | 3 | 26.0 | 6.3 | 0.7 | 2.0 | 0.7 | 0.0 | 1.3 | 6.3 | 2.0 | 45 | 1.5 | 2.7 | 36.8 | 25.0 | 100.0 | 0.74 | 46.8 | 42.1 |
C. West
|
F | 1 | 8.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | 8 | 0.4 | 1.2 | 50.0 | 0 | 0 | -0.16 | 50.0 | 50.0 |
M. Pratcher
|
F | 3 | 13.3 | 2.0 | 2.0 | 0.0 | 0.0 | 0.3 | 2.3 | 1.7 | 0.3 | -38 | -1.3 | -3.7 | 40.0 | 0 | 100.0 | -0.14 | 51.0 | 40.0 |
M. Sow
|
F | 3 | 10.0 | 2.0 | 2.7 | 0.0 | 0.0 | 0.0 | 0.7 | 2.3 | 1.7 | -8 | -0.4 | -1.5 | 28.6 | 50.0 | 0 | -0.15 | 42.9 | 42.9 |
S. Khedr
|
G | 1 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -4 | -0.2 | -0.6 | 100.0 | 0 | 0 | -0.09 | 100.0 | 100.0 |
T. James
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -1.26 | 0 | 0 |
T. Shelling
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -1.02 | 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