Southeast Missouri State Redhawks
2023 Team Stats (2 games)
42.0
PPG
57.5
Opp
-15.5
Margin
31.6%
FG%
32.0%
3P%
66.7%
FT%
31.5
RPG
4.5
APG
22.0
TO
74.8
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 → | 889 (#330) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 934 (#316) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.7 (#302) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.446 (#205) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Rhode Island Rams | L | 49 - 66 |
| 2023-03-03 | @ | Little Rock Trojans | L | 35 - 49 |
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. Watkins
|
G | 2 | 18.0 | 11.5 | 2.0 | 0.0 | 1.5 | 0.5 | 3.5 | 5.5 | 6.5 | - | - | - | 81.8 | 100.0 | 66.7 | - | 84.3 | 86.4 |
J. Green
|
G | 2 | 29.5 | 6.0 | 2.0 | 1.0 | 0.5 | 0.5 | 3.0 | 4.5 | 2.5 | - | - | - | 22.2 | 20.0 | 77.8 | - | 46.3 | 27.8 |
H. Smith
|
F | 2 | 12.0 | 5.5 | 1.5 | 0.0 | 0.0 | 0.0 | 1.5 | 4.0 | 1.5 | - | - | - | 50.0 | 66.7 | 50.0 | - | 61.9 | 62.5 |
R. Henderson
|
G | 2 | 26.5 | 5.0 | 6.5 | 0.0 | 1.5 | 0.0 | 3.5 | 6.0 | 3.5 | - | - | - | 25.0 | 50.0 | 50.0 | - | 36.3 | 33.3 |
K. Flowers
|
G | 2 | 23.5 | 3.5 | 3.5 | 1.0 | 1.5 | 0.0 | 4.0 | 7.0 | -1.5 | - | - | - | 21.4 | 25.0 | 0 | - | 25.0 | 25.0 |
S. Bussard
|
G | 2 | 30.0 | 3.0 | 4.0 | 1.0 | 0.5 | 0.0 | 1.5 | 5.0 | 2.0 | - | - | - | 20.0 | 33.3 | 50.0 | - | 27.6 | 25.0 |
A. Doyle
|
G | 2 | 18.5 | 3.0 | 1.5 | 0.0 | 0.0 | 0.0 | 1.5 | 6.5 | -3.5 | - | - | - | 23.1 | 0.0 | 0 | - | 23.1 | 23.1 |
D. Reed
|
C | 2 | 7.5 | 2.0 | 2.0 | 0.5 | 0.0 | 1.0 | 0.5 | 3.5 | 1.5 | - | - | - | 28.6 | 0 | 0 | - | 28.6 | 28.6 |
K. Tomlin
|
G | 2 | 17.0 | 1.5 | 0.5 | 1.0 | 1.5 | 0.0 | 2.0 | 4.0 | -1.5 | - | - | - | 12.5 | 0.0 | 100.0 | - | 17.8 | 12.5 |
T. Stallings
|
F | 2 | 12.0 | 1.0 | 2.5 | 0.0 | 0.5 | 0.0 | 0.5 | 1.5 | 2.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
J. Sion
|
F | 1 | 9.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Davis
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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