Missouri State
2023 Team Stats (21 games)
66.4
PPG
62.9
Opp
+3.2
Margin
44.0%
FG%
33.8%
3P%
64.9%
FT%
35.9
RPG
11.7
APG
12.6
TO
74.5
Pace
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1068 (#215) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1182 (#151) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.9 (#157) | HCA +2.8 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.578 (#129) | NetEff +2.8 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Clay
|
- | 21 | 32.4 | 13.3 | 5.8 | 3.6 | 0.6 | 1.1 | 2.9 | 9.8 | 11.7 | - | - | - | 48.5 | 35.9 | 67.3 | - | 61.3 | 51.9 |
A. Mason
|
G | 23 | 27.0 | 10.0 | 2.0 | 3.0 | 0.6 | 0.0 | 2.1 | 7.9 | 5.7 | - | - | - | 40.9 | 33.3 | 93.3 | 0.05 | 57.3 | 48.1 |
J. Mogbo
|
- | 21 | 28.2 | 9.6 | 8.3 | 1.5 | 1.3 | 1.3 | 1.8 | 6.0 | 14.3 | - | - | - | 64.0 | 0 | 41.0 | - | 66.5 | 64.0 |
C. Moore
|
- | 20 | 21.0 | 9.4 | 3.5 | 0.4 | 0.7 | 0.6 | 1.1 | 7.5 | 6.0 | -30 | -3.3 | -7.0 | 38.3 | 33.0 | 60.4 | 0.32 | 55.5 | 48.0 |
B. Trimble Jr.
|
- | 10 | 26.2 | 9.4 | 2.8 | 0.6 | 0.5 | 0.2 | 0.4 | 5.2 | 7.9 | 103 | 7.9 | 10.6 | 38.5 | 41.7 | 100.0 | 1.72 | 84.0 | 57.7 |
K. Moore
|
- | 21 | 25.1 | 7.7 | 2.7 | 1.6 | 1.1 | 0.0 | 1.5 | 6.0 | 5.7 | - | - | - | 36.8 | 35.6 | 68.8 | - | 61.0 | 49.6 |
J. Graham
|
- | 11 | 21.4 | 5.0 | 2.4 | 0.3 | 0.6 | 0.8 | 0.5 | 3.3 | 5.3 | 81 | 6.8 | 11.0 | 36.1 | 43.3 | 0 | 1.78 | 76.4 | 54.2 |
M. Lee
|
- | 1 | 20.0 | 5.0 | 4.0 | 4.0 | 1.0 | 1.0 | 2.0 | 5.0 | 8.0 | 46 | 4.2 | 6.2 | 40.0 | 0.0 | 50.0 | 1.31 | 42.5 | 40.0 |
D. Mayo Jr.
|
- | 20 | 21.4 | 4.7 | 3.0 | 1.0 | 0.4 | 0.5 | 1.1 | 4.2 | 4.3 | 40 | 4.0 | 6.0 | 43.4 | 23.1 | 62.5 | 1.01 | 51.6 | 47.0 |
D. Ridgnal
|
- | 20 | 19.4 | 4.6 | 4.4 | 0.7 | 0.7 | 0.5 | 0.7 | 3.6 | 6.5 | - | - | - | 41.1 | 38.1 | 88.9 | - | 56.8 | 52.1 |
N.J. Benson
|
F | 19 | 9.5 | 3.1 | 2.2 | 0.2 | 0.2 | 0.4 | 0.6 | 1.6 | 3.8 | 2 | 0.2 | 0.2 | 60.0 | 0 | 31.8 | 0.79 | 73.1 | 60.0 |
D. Carper
|
- | 3 | 7.7 | 2.3 | 1.3 | 0.0 | 0.0 | 0.0 | 1.0 | 1.3 | 1.3 | - | - | - | 25.0 | 0 | 50.0 | - | 71.7 | 25.0 |
R. Ayres
|
- | 18 | 8.7 | 1.3 | 0.7 | 0.1 | 0.3 | 0.1 | 0.5 | 1.1 | 0.9 | - | - | - | 36.8 | 31.2 | 100.0 | - | 56.6 | 50.0 |
M. Ebonkoli
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 40 | 4.0 | 4.4 | - | - | - | 1.3 | - | - |
S. Wicks
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -33 | -3.0 | -4.4 | - | - | - | 0.34 | - | - |
J. Dunn
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 1 | 0.2 | 0.4 | - | - | - | 0.21 | - | - |
T. Pinegar
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
D. Hill
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 12 | 1.0 | 1.6 | - | - | - | 0.45 | - | - |
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