Kansas City Roos
2023 Team Stats (4 games)
59.8
PPG
71.2
Opp
-11.4
Margin
37.4%
FG%
30.9%
3P%
77.2%
FT%
41.3
RPG
12.3
APG
19.0
TO
84.8
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 → | 932 (#304) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 905 (#337) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.5 (#234) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.532 (#174) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Arkansas State Red Wolves | L | 68 - 79 |
| 2022-12-07 | @ | Kansas State Wildcats | L | 45 - 72 |
| 2023-03-03 | @ | Denver Pioneers | W | 66 - 65 |
| 2023-03-06 | @ | Omaha Mavericks | L | 60 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Mensah
|
G | 2 | 38.5 | 28.5 | 5.0 | 3.5 | 0.0 | 0.0 | 3.5 | 19.5 | 14.0 | - | - | - | 43.6 | 33.3 | 82.6 | - | 58.0 | 48.7 |
E. Stafford
|
G | 4 | 41.2 | 15.2 | 4.5 | 1.8 | 0.5 | 1.0 | 3.8 | 13.8 | 5.5 | - | - | - | 40.0 | 34.4 | 100.0 | - | 52.9 | 50.0 |
J. Ewell
|
F | 2 | 42.0 | 11.5 | 6.5 | 2.0 | 1.0 | 1.5 | 1.5 | 8.0 | 13.0 | - | - | - | 56.2 | 0 | 83.3 | - | 61.7 | 56.2 |
S. St. Andre
|
G | 4 | 27.2 | 10.0 | 2.2 | 3.0 | 1.0 | 0.0 | 4.5 | 11.8 | 0.0 | - | - | - | 36.2 | 22.2 | 66.7 | - | 40.3 | 38.3 |
T. Ugass
|
F | 4 | 30.2 | 7.2 | 8.5 | 2.2 | 1.2 | 1.5 | 2.2 | 9.0 | 9.5 | - | - | - | 38.9 | 0.0 | 50.0 | - | 39.3 | 38.9 |
M. Mullens
|
F | 3 | 25.0 | 4.3 | 7.7 | 1.3 | 1.3 | 0.7 | 1.7 | 5.3 | 8.3 | - | - | - | 25.0 | 0 | 83.3 | - | 34.9 | 25.0 |
D. Winslow
|
F | 2 | 38.5 | 4.0 | 14.5 | 1.5 | 1.5 | 1.0 | 0.5 | 5.5 | 16.5 | - | - | - | 36.4 | 0 | 0 | - | 36.4 | 36.4 |
A. Murphy
|
G | 1 | 9.0 | 3.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 4.0 | - | - | - | 100.0 | 0 | 50.0 | - | 79.8 | 100.0 |
T. Moreland
|
F | 3 | 5.0 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 33.3 | 0 | 50.0 | - | 44.3 | 33.3 |
G. Graham
|
G | 1 | 15.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | -4.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Z. Harrell
|
G | 4 | 19.5 | 0.0 | 2.8 | 0.8 | 0.8 | 0.0 | 2.8 | 2.5 | -1.0 | - | - | - | 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