Missouri State Bears
2022 Team Stats (5 games)
60.6
PPG
54.2
Opp
+6.4
Margin
35.1%
FG%
29.8%
3P%
74.4%
FT%
46.8
RPG
10.0
APG
14.8
TO
86.7
Pace
Model Outputs
2021-2022
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 → | 1105 (#122) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1145 (#114) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.1 (#110) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.688 (#117) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-03 | @ | Valparaiso Beacons | W | 66 - 46 |
| 2022-03-11 | vs | Drake Bulldogs | W | 63 - 49 |
| 2022-03-12 | vs | Northern Iowa Panthers | L | 57 - 63 |
| 2022-03-17 | vs | Florida State Seminoles | W | 61 - 50 |
| 2022-03-19 | @ | Ohio State Buckeyes | L | 56 - 63 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Calip
|
G | 5 | 34.4 | 13.0 | 6.2 | 3.0 | 1.8 | 0.2 | 1.6 | 13.2 | 9.4 | - | - | - | 31.8 | 25.0 | 76.0 | 0.32 | 42.2 | 34.8 |
A. Jackson
|
F | 5 | 28.0 | 11.2 | 6.8 | 0.2 | 0.4 | 3.4 | 1.0 | 10.8 | 10.2 | -57 | -57.0 | -215.4 | 48.1 | 0.0 | 80.0 | 0.42 | 49.8 | 48.1 |
M. White
|
G | 5 | 24.0 | 9.6 | 2.6 | 1.0 | 2.4 | 0.2 | 1.8 | 13.4 | 0.6 | -68 | -2.4 | -12.4 | 28.4 | 66.7 | 57.1 | -0.1 | 32.8 | 29.9 |
M. Bhinhar
|
G | 5 | 33.6 | 8.4 | 4.8 | 3.4 | 0.8 | 0.4 | 3.4 | 10.8 | 3.6 | - | - | - | 31.5 | 42.1 | 0 | 0.41 | 38.9 | 38.9 |
S. Wilson
|
G | 5 | 31.4 | 8.2 | 7.2 | 1.6 | 1.0 | 0.4 | 2.4 | 7.4 | 8.6 | 32 | 3.6 | 14.8 | 29.7 | 11.1 | 90.0 | 0.69 | 44.8 | 31.1 |
I. Nwachukwu
|
F | 5 | 22.2 | 6.0 | 9.2 | 0.4 | 0.8 | 1.0 | 1.8 | 3.2 | 12.4 | 119 | 4.6 | 18.0 | 68.8 | 0 | 72.7 | 2.17 | 72.0 | 68.8 |
J. Ezeh
|
F | 5 | 15.2 | 2.4 | 4.0 | 0.2 | 0.0 | 0.2 | 0.8 | 3.2 | 2.8 | - | - | - | 37.5 | 0 | 0.0 | 0.6 | 35.5 | 37.5 |
P. Rocca
|
G | 5 | 8.6 | 1.2 | 0.8 | 0.2 | 0.4 | 0.0 | 1.0 | 2.0 | -0.4 | 48 | 1.8 | 7.5 | 20.0 | 20.0 | 100.0 | 1.81 | 28.7 | 25.0 |
I. Delarue
|
G | 3 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.7 | -1.0 | - | - | - | 20.0 | 25.0 | 0 | 0.94 | 30.0 | 30.0 |
L. Byers
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.02 | 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