Austin Peay Governors
2026 Team Stats (30 games)
64.7
PPG
59.0
Opp
+5.7
Margin
41.3%
FG%
29.4%
3P%
70.1%
FT%
35.7
RPG
12.7
APG
15.9
TO
80.1
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 → | 1009 (#170) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.2 (#198) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.575 (#151) | AdjO 61.4 | AdjD 58.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.754 (#164) | 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 → | 0.721 (#162) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1039 (#188) | RD 114 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Sheals
|
G | 30 | 29.1 | 13.9 | 5.7 | 2.3 | 1.4 | 0.1 | 2.5 | 12.2 | 8.6 | 120 | 5.7 | 7.3 | 41.1 | 18.0 | 73.5 | 1.03 | 49.0 | 43.6 |
J. Branton
|
G | 30 | 31.3 | 11.0 | 4.2 | 3.9 | 1.7 | 0.3 | 3.2 | 8.8 | 9.0 | 90 | 4.3 | 5.9 | 52.5 | 28.9 | 67.8 | -0.38 | 56.5 | 54.5 |
V. Charlton
|
G | 7 | 27.0 | 9.0 | 2.6 | 3.3 | 1.3 | 0.0 | 1.7 | 5.3 | 9.1 | 76 | 7.6 | 10.1 | 45.9 | 50.0 | 80.6 | 1.5 | 62.2 | 51.4 |
M. Williams
|
G | 30 | 24.1 | 8.2 | 1.8 | 1.6 | 1.2 | 0.0 | 1.3 | 7.6 | 3.9 | 140 | 6.1 | 9.1 | 36.0 | 35.8 | 73.3 | 1.68 | 50.8 | 48.9 |
K. Perkins
|
G | 29 | 18.1 | 7.0 | 3.1 | 0.9 | 1.1 | 0.2 | 1.2 | 6.4 | 4.7 | 92 | 4.4 | 10.7 | 36.2 | 29.9 | 73.4 | 1.04 | 47.9 | 42.4 |
J. Newell
|
G | 30 | 22.5 | 6.7 | 1.6 | 1.8 | 1.0 | 0.0 | 1.5 | 6.6 | 3.0 | 76 | 3.6 | 8.6 | 32.0 | 31.7 | 81.4 | 1.6 | 46.3 | 41.9 |
J. Rucker
|
G | 23 | 17.9 | 6.0 | 2.4 | 0.3 | 0.4 | 0.3 | 1.0 | 6.2 | 2.2 | 11 | 0.7 | 1.9 | 37.8 | 26.4 | 42.9 | -3.77 | 46.3 | 46.2 |
L. Thomas
|
F | 27 | 26.9 | 5.3 | 7.0 | 0.5 | 0.6 | 0.4 | 1.4 | 4.4 | 7.9 | 81 | 4.8 | 7.6 | 52.5 | 0.0 | 62.5 | 3.26 | 54.5 | 52.5 |
I. Gnahore
|
G | 30 | 20.8 | 4.7 | 4.2 | 0.8 | 1.3 | 0.2 | 1.5 | 4.3 | 5.3 | 72 | 3.4 | 6.0 | 41.5 | 28.0 | 57.1 | 1.52 | 48.8 | 46.9 |
M. Neal
|
F | 15 | 6.6 | 1.4 | 1.9 | 0.1 | 0.3 | 0.1 | 0.6 | 1.6 | 1.7 | 29 | 2.2 | 12.7 | 41.7 | 0 | 25.0 | -1.01 | 40.8 | 41.7 |
M. Fotsa
|
F | 22 | 7.7 | 1.2 | 1.5 | 0.0 | 0.2 | 0.0 | 0.5 | 0.9 | 1.5 | 21 | 1.1 | 4.6 | 40.0 | 0 | 57.9 | -4.9 | 47.6 | 40.0 |
J. Brandsma
|
F | 13 | 5.2 | 0.8 | 1.4 | 0.0 | 0.1 | 0.2 | 0.5 | 0.5 | 1.4 | 18 | 2.2 | 34.3 | 50.0 | 0 | 80.0 | 0.51 | 61.0 | 50.0 |
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