Missouri State Bears
2019 Team Stats (9 games)
70.6
PPG
65.7
Opp
+4.9
Margin
40.0%
FG%
36.6%
3P%
75.7%
FT%
41.0
RPG
11.3
APG
13.1
TO
84.5
Pace
Model Outputs
2018-2019
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 → | 1296 (#59) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1409 (#28) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.8 (#68) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.622 (#152) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-13 | @ | Missouri Tigers | L | 61 - 65 |
| 2018-12-16 | vs | Gonzaga Bulldogs | L | 67 - 70 |
| 2019-03-03 | vs | Drake Bulldogs | L | 61 - 70 |
| 2019-03-15 | vs | Loyola Chicago Ramblers | W | 59 - 50 |
| 2019-03-16 | vs | Northern Iowa Panthers | W | 89 - 64 |
| 2019-03-17 | @ | Drake Bulldogs | W | 94 - 79 |
| 2019-03-23 | @ | DePaul Blue Demons | W | 89 - 78 |
| 2019-03-25 | @ | Iowa State Cyclones | W | 69 - 60 |
| 2019-03-30 | @ | Stanford Cardinal | L | 46 - 55 |
2019 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. Gitzen
|
G | 9 | 29.0 | 14.3 | 5.8 | 3.3 | 1.4 | 0.1 | 2.1 | 13.2 | 9.7 | - | - | - | 40.3 | 34.3 | 72.4 | 1.72 | 49.0 | 45.4 |
A. Willard
|
G | 9 | 29.1 | 13.1 | 2.9 | 0.8 | 0.6 | 0.0 | 1.4 | 13.9 | 2.0 | - | - | - | 37.6 | 36.7 | 86.7 | 1.53 | 44.8 | 42.0 |
B. Calip
|
G | 9 | 28.2 | 11.4 | 4.9 | 2.0 | 1.3 | 0.3 | 1.7 | 8.4 | 9.9 | - | - | - | 36.8 | 18.2 | 83.3 | 1.8 | 51.6 | 38.2 |
S. Ealy
|
F | 2 | 22.0 | 7.0 | 2.0 | 0.5 | 0.5 | 1.0 | 0.0 | 7.0 | 4.0 | - | - | - | 35.7 | 40.0 | 100.0 | 0.39 | 47.0 | 42.9 |
J. Franklin
|
F | 9 | 21.1 | 6.8 | 7.9 | 0.7 | 2.1 | 0.8 | 1.6 | 5.7 | 11.0 | - | - | - | 45.1 | 0 | 60.0 | 1.06 | 49.2 | 45.1 |
A. Hipp
|
F | 8 | 20.2 | 5.6 | 3.1 | 1.1 | 0.4 | 0.0 | 1.5 | 3.9 | 4.9 | - | - | - | 61.3 | 100.0 | 71.4 | 1.32 | 66.0 | 64.5 |
E. Ruffridge
|
G | 9 | 14.6 | 5.4 | 1.3 | 0.9 | 0.4 | 0.0 | 1.1 | 3.7 | 3.3 | - | - | - | 48.5 | 43.5 | 87.5 | -0.02 | 67.1 | 63.6 |
S. Manning
|
G | 9 | 14.6 | 4.9 | 1.4 | 0.8 | 0.4 | 0.0 | 1.0 | 4.2 | 2.3 | - | - | - | 36.8 | 37.5 | 70.0 | 0.23 | 51.9 | 48.7 |
E. Gartner
|
C | 9 | 14.0 | 3.4 | 4.4 | 0.2 | 0.6 | 0.6 | 1.3 | 4.1 | 3.8 | - | - | - | 35.1 | 0 | 62.5 | 0.47 | 38.3 | 35.1 |
S. Wilson
|
G | 9 | 14.9 | 2.9 | 2.8 | 0.8 | 0.4 | 0.0 | 0.3 | 2.8 | 3.8 | - | - | - | 36.0 | 27.3 | 71.4 | 0.06 | 46.3 | 42.0 |
D. Lewis
|
F | 2 | 5.5 | 2.0 | 2.0 | 0.0 | 0.5 | 0.5 | 1.5 | 1.5 | 2.0 | -2 | -0.1 | -0.4 | 33.3 | 0 | 100.0 | 0.81 | 51.5 | 33.3 |
B. Ellis
|
G | 2 | 1.0 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 100.0 | 100.0 | 0 | -1.08 | 150.0 | 150.0 |
M. Bhinhar
|
G | 9 | 9.1 | 0.9 | 1.2 | 0.8 | 0.3 | 0.0 | 0.7 | 1.6 | 1.0 | - | - | - | 21.4 | 33.3 | 50.0 | 0.06 | 26.9 | 25.0 |
S. Schultz
|
F | 4 | 2.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 0 | 0.03 | 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