Missouri State Bears
2017 Team Stats (4 games)
61.5
PPG
73.5
Opp
-12.0
Margin
35.9%
FG%
37.8%
3P%
67.3%
FT%
39.8
RPG
9.0
APG
17.8
TO
85.8
Pace
Model Outputs
2016-2017
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 → | 1185 (#66) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1358 (#52) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.5 (#80) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.622 (#155) | - |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-11-28 | vs | Little Rock Trojans | L | 47 - 58 |
| 2016-12-02 | @ | Missouri Tigers | L | 49 - 73 |
| 2017-03-02 | @ | Drake Bulldogs | L | 91 - 98 |
| 2017-03-10 | vs | Evansville Purple Aces | L | 59 - 65 |
2017 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. Fruendt
|
G | 4 | 31.8 | 24.2 | 3.8 | 1.2 | 0.8 | 0.0 | 2.0 | 20.2 | 7.8 | - | - | - | 42.0 | 36.8 | 88.2 | 0.81 | 54.8 | 50.6 |
L. Hughes
|
G | 4 | 24.5 | 7.5 | 4.8 | 2.2 | 0.8 | 0.0 | 2.5 | 6.8 | 6.0 | - | - | - | 48.1 | 27.3 | 100.0 | 1.08 | 54.7 | 53.7 |
D. Gitzen
|
G | 4 | 25.8 | 7.0 | 5.2 | 2.2 | 2.2 | 0.0 | 2.8 | 6.8 | 7.2 | - | - | - | 40.7 | 100.0 | 33.3 | 0.47 | 45.2 | 46.3 |
L. Polowy
|
G | 4 | 17.8 | 5.5 | 1.5 | 1.2 | 1.0 | 0.0 | 1.0 | 3.8 | 4.5 | - | - | - | 46.7 | 58.3 | 50.0 | 0.08 | 69.3 | 70.0 |
A. Willard
|
G | 4 | 18.5 | 4.8 | 2.5 | 0.8 | 0.5 | 0.0 | 1.5 | 5.8 | 1.2 | - | - | - | 26.1 | 25.0 | 100.0 | 0.77 | 37.1 | 28.3 |
A. Buckley
|
F | 4 | 27.2 | 4.5 | 4.0 | 0.0 | 0.0 | 0.2 | 2.0 | 8.0 | -1.2 | - | - | - | 25.0 | 25.0 | 25.0 | 0.95 | 26.7 | 26.6 |
R. Swartz
|
F | 4 | 15.0 | 3.0 | 2.2 | 0.5 | 0.2 | 0.0 | 1.5 | 2.0 | 2.5 | - | - | - | 50.0 | 0.0 | 66.7 | 0.83 | 56.4 | 50.0 |
A. Holt
|
F | 4 | 24.5 | 3.0 | 7.0 | 0.2 | 0.8 | 0.2 | 2.5 | 3.8 | 5.0 | - | - | - | 20.0 | 0.0 | 60.0 | 1.0 | 30.9 | 20.0 |
S. Ealy
|
F | 4 | 9.2 | 2.0 | 2.5 | 0.5 | 0.0 | 0.2 | 1.2 | 4.2 | -0.2 | - | - | - | 17.6 | 33.3 | 0 | -0.36 | 23.5 | 23.5 |
O. Osemenam
|
F | 2 | 11.5 | 0.0 | 3.5 | 0.0 | 0.0 | 1.0 | 0.5 | 1.5 | 2.5 | - | - | - | 0.0 | 0 | 0 | -0.48 | 0.0 | 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