Missouri
2023 Team Stats (15 games)
75.9
PPG
75.7
Opp
+1.3
Margin
45.4%
FG%
35.6%
3P%
77.5%
FT%
29.8
RPG
14.7
APG
10.6
TO
76.7
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 → | 1254 (#86) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1304 (#81) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.3 (#68) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.440 (#71) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.495 (#177) | NetEff -0.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.514 (#65) | AdjNet +0.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.514 (#65) | AdjNet +0.5 |
2023 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ko. Brown
|
- | 25 | 30.0 | 16.0 | 6.1 | 2.5 | 1.6 | 0.2 | 1.7 | 10.1 | 14.6 | 20 | 2.0 | 11.0 | 53.0 | 46.4 | 79.8 | 0.47 | 68.1 | 60.7 |
D. Hodge
|
- | 26 | 29.7 | 14.0 | 3.9 | 1.4 | 2.3 | 0.5 | 0.8 | 10.1 | 11.2 | -12 | -1.3 | -2.3 | 44.9 | 38.2 | 73.0 | 0.35 | 62.4 | 57.8 |
I. Mosley
|
- | 7 | 23.9 | 10.9 | 2.0 | 2.0 | 1.1 | 0.4 | 2.3 | 9.1 | 5.0 | - | - | - | 45.3 | 34.5 | 100.0 | - | 57.8 | 53.1 |
N. Carter
|
- | 25 | 22.1 | 10.2 | 3.9 | 2.0 | 0.5 | 0.4 | 1.1 | 6.9 | 9.0 | - | - | - | 49.4 | 35.7 | 75.5 | - | 65.0 | 58.1 |
N. Honor
|
- | 26 | 30.9 | 7.6 | 1.4 | 2.9 | 1.5 | 0.0 | 1.0 | 6.0 | 6.5 | - | - | - | 37.4 | 37.4 | 88.9 | - | 56.6 | 48.4 |
S. East II
|
- | 26 | 24.3 | 7.2 | 1.8 | 2.3 | 1.2 | 0.1 | 1.7 | 5.8 | 5.0 | 26 | 2.9 | 4.0 | 42.8 | 22.0 | 80.9 | 0.77 | 54.4 | 46.4 |
T. Gomillion
|
- | 15 | 18.1 | 5.5 | 2.9 | 1.7 | 1.0 | 0.0 | 1.1 | 4.1 | 5.9 | - | - | - | 45.9 | 38.5 | 65.2 | - | 57.6 | 50.0 |
M. Diarra
|
- | 18 | 13.4 | 3.8 | 3.8 | 0.5 | 0.5 | 0.6 | 0.8 | 2.8 | 5.5 | - | - | - | 41.2 | 33.3 | 55.0 | - | 49.6 | 45.1 |
A. Shaw
|
G | 23 | 10.6 | 2.1 | 1.6 | 0.2 | 0.3 | 0.3 | 0.2 | 1.6 | 2.7 | 34 | 2.8 | 4.5 | 54.1 | 25.0 | 40.0 | 1.42 | 62.5 | 58.1 |
Ronnie Degray Iii
|
F | 9 | 11.2 | 1.9 | 1.7 | 0.3 | 0.3 | 0.3 | 0.3 | 1.7 | 2.6 | 62 | 5.6 | 9.0 | 33.3 | 28.6 | 83.3 | 1.51 | 48.2 | 40.0 |
Ka. Brown
|
G | 7 | 7.0 | 0.7 | 0.3 | 0.4 | 0.3 | 0.1 | 0.6 | 0.4 | 0.9 | 20 | 2.0 | 11.0 | 33.3 | 50.0 | 0 | 0.47 | 83.3 | 50.0 |
B. Sternberg
|
- | 6 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 50.0 | - | 79.8 | 0.0 |
M. Majak
|
- | 5 | 3.4 | 0.2 | 0.6 | 0.0 | 0.0 | 0.2 | 0.2 | 0.0 | 0.8 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
A. Brookshire
|
PG | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -33 | -2.8 | -4.5 | - | - | - | 0.1 | - | - |
Y. Keita
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -4 | -0.8 | -3.1 | - | - | - | -0.15 | - | - |
T. Brazile
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 41 | 3.2 | 4.3 | - | - | - | 1.51 | - | - |
J. Francois
|
- | 4 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | 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