Missouri State Bears
2023 Team Stats (4 games)
64.5
PPG
66.0
Opp
-1.5
Margin
37.8%
FG%
25.4%
3P%
67.9%
FT%
40.5
RPG
14.0
APG
16.3
TO
87.4
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 → | 1103 (#124) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1168 (#102) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.6 (#128) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.697 (#117) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Middle Tennessee Blue Raiders | L | 54 - 79 |
| 2022-12-09 | @ | TCU Horned Frogs | W | 63 - 59 |
| 2023-03-09 | vs | Bradley Braves | W | 71 - 53 |
| 2023-03-10 | @ | Drake Bulldogs | L | 70 - 73 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Taylor
|
F | 4 | 23.5 | 11.0 | 8.0 | 1.0 | 1.0 | 0.8 | 1.8 | 9.5 | 10.5 | - | - | - | 44.7 | 0 | 50.0 | - | 47.0 | 44.7 |
A. Thomas
|
G | 4 | 33.5 | 10.5 | 4.8 | 4.8 | 1.2 | 0.0 | 3.5 | 9.2 | 8.5 | - | - | - | 43.2 | 15.4 | 72.7 | - | 50.2 | 45.9 |
J. Masogayo
|
F | 4 | 20.5 | 9.0 | 5.5 | 2.2 | 2.5 | 1.2 | 2.2 | 7.8 | 10.5 | - | - | - | 51.6 | 0 | 44.4 | - | 51.5 | 51.6 |
S. Wilson
|
G | 4 | 28.8 | 8.2 | 4.8 | 2.5 | 1.0 | 0.2 | 1.2 | 7.2 | 8.2 | - | - | - | 31.0 | 36.4 | 91.7 | - | 48.1 | 37.9 |
I. Delarue
|
G | 4 | 27.0 | 8.2 | 1.5 | 0.8 | 0.2 | 0.0 | 1.0 | 9.5 | 0.2 | - | - | - | 31.6 | 26.1 | 75.0 | - | 41.5 | 39.5 |
I. Green
|
F | 4 | 22.0 | 7.8 | 7.2 | 1.0 | 1.0 | 0.2 | 2.2 | 11.0 | 4.0 | - | - | - | 29.5 | 0 | 100.0 | - | 33.5 | 29.5 |
P. Rocca
|
G | 4 | 30.2 | 7.2 | 3.0 | 0.8 | 1.5 | 0.5 | 2.0 | 5.5 | 5.5 | - | - | - | 36.4 | 22.2 | 68.8 | - | 49.9 | 40.9 |
C. Brown
|
G | 1 | 8.0 | 6.0 | 1.0 | 1.0 | 2.0 | 0.0 | 1.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
J. Bryant
|
G | 4 | 9.5 | 1.0 | 1.0 | 0.5 | 0.5 | 0.0 | 0.5 | 1.0 | 1.5 | - | - | - | 25.0 | 50.0 | 50.0 | - | 41.0 | 37.5 |
T. Woodhouse
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
I. Nwachukwu
|
F | 1 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Moad
|
F | 2 | 3.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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