Missouri Tigers
2023 Team Stats (3 games)
63.3
PPG
64.7
Opp
-1.4
Margin
40.2%
FG%
33.8%
3P%
83.3%
FT%
32.0
RPG
11.7
APG
15.3
TO
76.2
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 → | 1161 (#89) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1245 (#62) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.0 (#66) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.264 (#263) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-09 | vs | Omaha Mavericks | W | 83 - 36 |
| 2023-01-12 | vs | LSU Tigers | L | 57 - 77 |
| 2023-01-15 | @ | South Carolina Gamecocks | L | 50 - 81 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Hansen
|
G | 3 | 30.3 | 17.0 | 1.0 | 1.0 | 1.3 | 0.0 | 2.3 | 13.7 | 4.3 | - | - | - | 39.0 | 37.5 | 90.9 | - | 55.6 | 50.0 |
H. Frank
|
F | 3 | 24.3 | 7.3 | 2.7 | 1.7 | 1.0 | 1.3 | 1.0 | 6.3 | 6.7 | - | - | - | 36.8 | 42.9 | 100.0 | - | 55.3 | 52.6 |
S. Smith
|
G | 3 | 18.3 | 7.3 | 5.7 | 1.3 | 0.7 | 0.3 | 1.3 | 4.7 | 9.3 | - | - | - | 42.9 | 0.0 | 90.9 | - | 58.4 | 42.9 |
M. Linthacum
|
F | 2 | 15.0 | 6.0 | 1.0 | 1.0 | 0.0 | 0.5 | 1.0 | 3.0 | 4.5 | - | - | - | 83.3 | 100.0 | 0 | - | 100.0 | 100.0 |
H. Troup
|
G | 3 | 27.0 | 5.7 | 4.0 | 2.3 | 1.0 | 0.0 | 0.3 | 6.0 | 6.7 | - | - | - | 33.3 | 23.1 | 100.0 | - | 45.0 | 41.7 |
M. Dembele
|
G | 3 | 22.0 | 5.7 | 2.0 | 1.3 | 1.0 | 0.0 | 2.7 | 5.0 | 2.3 | - | - | - | 46.7 | 25.0 | 100.0 | - | 53.5 | 50.0 |
K. Gilbert
|
G | 3 | 18.7 | 5.0 | 4.0 | 2.0 | 1.0 | 1.3 | 0.3 | 6.3 | 6.7 | - | - | - | 36.8 | 0.0 | 33.3 | - | 36.9 | 36.8 |
A. Judd
|
G | 3 | 15.3 | 5.0 | 1.0 | 0.0 | 0.7 | 0.3 | 2.3 | 4.7 | 0.0 | - | - | - | 28.6 | 66.7 | 71.4 | - | 43.9 | 35.7 |
J. Kelly
|
C | 2 | 16.5 | 4.0 | 2.0 | 0.0 | 0.5 | 0.5 | 1.5 | 3.5 | 2.0 | - | - | - | 42.9 | 0 | 100.0 | - | 50.8 | 42.9 |
A. Kroenke
|
G | 3 | 12.3 | 3.7 | 3.7 | 1.0 | 0.7 | 0.3 | 1.0 | 3.0 | 5.3 | - | - | - | 55.6 | 0 | 50.0 | - | 55.7 | 55.6 |
S. Linthacum
|
F | 3 | 10.7 | 0.0 | 2.3 | 0.3 | 0.0 | 0.0 | 2.0 | 0.7 | 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