Missouri State Bears
2026 Team Stats (31 games)
65.9
PPG
61.6
Opp
+4.3
Margin
41.4%
FG%
29.6%
3P%
76.4%
FT%
39.2
RPG
12.9
APG
17.8
TO
82.5
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 → | 1151 (#23) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.1 (#91) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.690 (#72) | AdjO 66.6 | AdjD 57.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.882 (#82) | 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 → | 0.865 (#79) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1208 (#70) | RD 106 | GP 31 |
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. Bekemeier
|
G | 31 | 35.1 | 17.7 | 8.1 | 1.7 | 0.7 | 0.0 | 3.3 | 13.3 | 11.7 | 91 | 4.1 | 4.3 | 38.7 | 34.5 | 85.9 | 0.97 | 55.0 | 45.9 |
L. Douglas
|
F | 31 | 26.0 | 14.1 | 6.7 | 0.9 | 0.6 | 1.6 | 2.1 | 9.6 | 12.2 | 79 | 3.6 | 4.8 | 56.6 | 0.0 | 75.8 | 1.87 | 61.4 | 56.6 |
M. Washington
|
F | 31 | 28.2 | 8.2 | 6.4 | 1.5 | 0.7 | 0.5 | 2.1 | 7.2 | 8.1 | 51 | 2.3 | 3.5 | 44.8 | 20.0 | 70.3 | -1.0 | 49.7 | 45.3 |
F. Lee
|
F | 31 | 22.1 | 7.3 | 2.2 | 0.7 | 0.8 | 0.1 | 2.1 | 8.2 | 0.8 | 83 | 3.8 | 5.1 | 38.3 | 12.5 | 71.4 | 2.15 | 41.4 | 38.5 |
K. Brueggen
|
G | 31 | 17.9 | 6.3 | 2.7 | 1.1 | 0.5 | 0.1 | 1.4 | 5.6 | 3.7 | 52 | 2.4 | 6.3 | 42.2 | 23.8 | 72.5 | 1.91 | 50.9 | 47.7 |
C. Pauley
|
G | 22 | 19.9 | 5.8 | 2.1 | 1.5 | 0.5 | 0.2 | 1.7 | 4.6 | 3.7 | 10 | 0.5 | 0.6 | 36.3 | 24.5 | 85.4 | -1.46 | 51.6 | 42.2 |
M. James
|
G | 31 | 24.9 | 2.7 | 3.2 | 2.9 | 2.4 | 0.2 | 2.3 | 2.5 | 6.6 | 71 | 3.2 | 4.4 | 29.5 | 20.0 | 66.7 | 1.17 | 41.3 | 30.8 |
J. Bush
|
G | 31 | 14.8 | 2.6 | 1.6 | 2.2 | 0.4 | 0.0 | 1.6 | 2.9 | 2.4 | 16 | 0.7 | 1.7 | 27.8 | 36.2 | 53.8 | -0.54 | 39.9 | 37.2 |
A. Hopkins
|
G | 29 | 12.8 | 2.0 | 1.8 | 0.6 | 0.4 | 0.1 | 0.8 | 1.9 | 2.4 | 46 | 2.2 | 6.1 | 38.2 | 34.5 | 58.3 | 1.84 | 48.9 | 47.3 |
A. Scott
|
G | 13 | 5.3 | 1.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.1 | 1.7 | 0.7 | 4 | 0.8 | 21.2 | 31.8 | 30.0 | 0 | 0.5 | 45.5 | 45.5 |
V. Dixon
|
G | 9 | 2.1 | 0.6 | 0.4 | 0.2 | 0.1 | 0.0 | 0.1 | 0.8 | 0.4 | 1 | 0.2 | 6.1 | 28.6 | 0.0 | 50.0 | -0.41 | 31.7 | 28.6 |
T. Robinson
|
F | 10 | 2.0 | 0.5 | 0.5 | 0.0 | 0.1 | 0.0 | 0.3 | 0.5 | 0.3 | 5 | 1.0 | 19.2 | 40.0 | 0 | 50.0 | 0.75 | 42.5 | 40.0 |
Z. Canfield
|
G | 6 | 9.8 | 0.5 | 0.5 | 0.0 | 0.2 | 0.0 | 0.2 | 1.7 | -0.7 | -12 | -1.2 | -4.4 | 10.0 | 11.1 | 0 | -1.6 | 15.0 | 15.0 |
B. O'Grady
|
F | 10 | 1.4 | 0.2 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.2 | 8 | 1.3 | 40.3 | 50.0 | 0 | 0 | 1.11 | 50.0 | 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