Missouri Tigers
2024 Team Stats (4 games)
57.5
PPG
85.0
Opp
-27.5
Margin
34.0%
FG%
31.5%
3P%
76.6%
FT%
31.8
RPG
12.8
APG
17.3
TO
81.2
Pace
Model Outputs
2023-2024
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 → | 1064 (#143) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1210 (#71) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.3 (#67) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.264 (#267) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.613 (#48) | AdjNet +4.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.633 (#47) | AdjNet +4.7 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-09 | @ | Kansas State Wildcats | L | 56 - 84 |
| 2024-01-04 | @ | LSU Tigers | L | 72 - 92 |
| 2024-01-11 | vs | South Carolina Gamecocks | L | 57 - 81 |
| 2024-02-08 | @ | South Carolina Gamecocks | L | 45 - 83 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Frank
|
F | 3 | 34.7 | 17.0 | 5.7 | 2.3 | 0.0 | 0.3 | 2.7 | 14.0 | 8.7 | -46 | -7.7 | -7.5 | 45.2 | 37.5 | 100.0 | -0.43 | 58.3 | 56.0 |
M. Dembele
|
G | 3 | 33.0 | 10.0 | 3.3 | 6.0 | 3.3 | 0.0 | 2.3 | 8.3 | 12.0 | -34 | -5.7 | -5.8 | 40.0 | 0.0 | 71.4 | 0.01 | 48.1 | 40.0 |
A. Judd
|
G | 4 | 30.2 | 9.8 | 5.5 | 1.8 | 0.5 | 0.2 | 4.8 | 11.2 | 1.8 | -35 | -5.8 | -5.4 | 33.3 | 25.0 | 100.0 | -0.28 | 41.3 | 37.8 |
G. Slaughter
|
G | 4 | 32.0 | 9.2 | 1.5 | 1.0 | 0.0 | 0.0 | 1.0 | 10.2 | 0.5 | -42 | -7.0 | -6.9 | 31.7 | 38.9 | 100.0 | -0.26 | 43.3 | 40.2 |
A. Feit
|
G | 4 | 26.2 | 8.0 | 5.5 | 1.2 | 0.2 | 0.5 | 1.0 | 9.0 | 5.5 | -12 | -2.0 | -4.5 | 27.8 | 27.3 | 100.0 | 0.08 | 41.4 | 36.1 |
A. Schreacke
|
G | 4 | 26.8 | 7.2 | 3.5 | 1.2 | 0.8 | 0.0 | 1.5 | 7.8 | 3.5 | -39 | -6.5 | -8.0 | 32.3 | 33.3 | 50.0 | -0.17 | 44.3 | 43.5 |
H. Feldrappe
|
F | 4 | 17.0 | 2.0 | 2.0 | 0.5 | 0.5 | 0.5 | 1.5 | 3.2 | 0.8 | 0 | 0.0 | 0.0 | 15.4 | 20.0 | 50.0 | -0.03 | 25.6 | 19.2 |
H. Linthacum
|
F | 4 | 10.0 | 0.8 | 1.2 | 0.8 | 0.0 | 0.0 | 1.5 | 0.5 | 0.8 | -18 | -3.0 | -5.8 | 50.0 | 0.0 | 50.0 | -0.24 | 52.1 | 50.0 |
S. Linthacum
|
F | 4 | 4.0 | 0.2 | 0.8 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
M. Linthacum
|
F | 2 | 4.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
L. Milkovic
|
C | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 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