Missouri State Bears
2025 Team Stats (4 games)
73.3
PPG
67.2
Opp
+6.0
Margin
44.5%
FG%
32.4%
3P%
62.1%
FT%
38.5
RPG
11.3
APG
12.5
TO
82.5
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 → | 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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-31 | @ | Bradley Braves | W | 73 - 62 |
| 2025-02-07 | vs | Indiana State Sycamores | W | 76 - 61 |
| 2025-03-14 | vs | UIC Flames | W | 77 - 70 |
| 2025-03-15 | vs | Belmont Bruins | L | 67 - 76 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Stokes
|
G | 4 | 35.0 | 18.8 | 3.8 | 3.5 | 3.2 | 0.0 | 2.2 | 13.2 | 13.8 | 23 | 0.7 | 0.7 | 39.6 | 30.0 | 81.1 | 1.02 | 54.1 | 42.5 |
S. Linthacum
|
F | 3 | 27.0 | 12.7 | 9.3 | 0.7 | 0.7 | 0.7 | 2.3 | 8.3 | 13.3 | 7 | 0.2 | 0.3 | 68.0 | 0 | 30.8 | 0.51 | 61.8 | 68.0 |
K. Daniels
|
G | 4 | 32.8 | 10.8 | 4.0 | 1.8 | 1.0 | 0.2 | 1.0 | 10.8 | 6.0 | 37 | 1.0 | 1.3 | 39.5 | 31.2 | 57.1 | 0.65 | 46.7 | 45.3 |
L. Douglas
|
F | 4 | 15.2 | 10.0 | 5.2 | 0.2 | 0.0 | 2.2 | 1.2 | 7.0 | 9.5 | 5 | 0.1 | 0.3 | 64.3 | 0 | 36.4 | 0.27 | 60.9 | 64.3 |
P. Rocca
|
G | 4 | 28.2 | 9.2 | 2.0 | 2.5 | 1.2 | 0.0 | 0.5 | 6.8 | 7.8 | 33 | 0.9 | 1.2 | 37.0 | 33.3 | 80.0 | 0.92 | 55.1 | 46.3 |
K. Bekemeier
|
G | 4 | 28.5 | 9.2 | 6.0 | 1.0 | 0.0 | 0.2 | 2.8 | 8.8 | 5.0 | -15 | -0.4 | -0.6 | 40.0 | 31.2 | 66.7 | 0.32 | 49.1 | 47.1 |
K. Bess
|
G | 4 | 30.2 | 3.2 | 4.5 | 1.8 | 0.8 | 0.0 | 1.5 | 3.8 | 5.0 | 15 | 0.4 | 0.6 | 33.3 | 33.3 | 16.7 | 0.55 | 36.8 | 40.0 |
Z. Stewart
|
G | 1 | 8.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -1.0 | -9 | -0.5 | -1.4 | 33.3 | 0 | 0 | -0.13 | 33.3 | 33.3 |
C. Pauley
|
G | 4 | 5.8 | 1.5 | 0.8 | 0.0 | 0.0 | 0.2 | 0.5 | 2.0 | 0.0 | -20 | -0.6 | -1.4 | 25.0 | 40.0 | 0 | 0.1 | 37.5 | 37.5 |
T. Robinson
|
F | 2 | 3.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 74 | 2.6 | 2.8 | 100.0 | 0 | 0 | 1.14 | 100.0 | 100.0 |
B. O'Grady
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5 | 0.4 | 3.0 | 0 | 0 | 0 | -0.74 | 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