Dayton
2023 Team Stats (24 games)
68.8
PPG
62.4
Opp
+6.6
Margin
46.9%
FG%
34.6%
3P%
70.2%
FT%
34.3
RPG
15.5
APG
11.6
TO
71.8
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 → | 1335 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1332 (#64) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.7 (#72) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.419 (#75) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.744 (#43) | NetEff +9.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.313 (#85) | AdjNet -6.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.313 (#85) | AdjNet -6.8 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Holmes II
|
- | 25 | 34.3 | 17.2 | 7.9 | 1.7 | 0.8 | 1.9 | 2.2 | 9.8 | 17.6 | 66 | 6.6 | 11.7 | 57.3 | 30.8 | 67.5 | 1.76 | 69.0 | 58.1 |
Thompson Camara
|
- | 25 | 30.8 | 15.2 | 8.8 | 1.7 | 1.4 | 0.8 | 2.2 | 8.9 | 16.8 | - | - | - | 57.4 | 40.0 | 65.0 | - | 71.2 | 62.3 |
Mustapha Amzil
|
F | 25 | 28.6 | 9.4 | 4.5 | 1.3 | 0.3 | 0.2 | 1.4 | 5.9 | 8.6 | - | - | - | 46.9 | 35.5 | 80.4 | 0.04 | 69.6 | 56.1 |
M. Smith
|
G | 16 | 29.1 | 8.2 | 2.2 | 5.6 | 1.1 | 0.1 | 2.0 | 6.7 | 8.6 | 17 | 1.5 | 4.1 | 42.1 | 42.5 | 69.4 | 0.83 | 53.7 | 50.0 |
K. Elvis
|
- | 16 | 28.8 | 7.9 | 2.5 | 3.1 | 0.8 | 0.1 | 1.6 | 7.9 | 4.9 | - | - | - | 36.2 | 32.3 | 73.7 | - | 46.9 | 44.5 |
Koby Brea
|
G | 21 | 26.8 | 6.5 | 3.5 | 1.6 | 0.4 | 0.3 | 0.9 | 6.3 | 5.1 | - | - | - | 35.3 | 35.3 | 100.0 | - | 50.3 | 48.9 |
M. Sharavjamts
|
- | 24 | 22.1 | 5.8 | 1.8 | 2.7 | 0.5 | 0.3 | 1.3 | 4.0 | 5.7 | -59 | -4.2 | -4.8 | 43.3 | 37.7 | 72.2 | 0.18 | 65.8 | 55.2 |
R.J. Blakney
|
F | 21 | 22.4 | 5.6 | 2.1 | 1.0 | 0.7 | 0.4 | 1.0 | 4.4 | 4.4 | - | - | - | 39.8 | 20.0 | 68.0 | - | 56.2 | 44.6 |
Zimi Nwokeji
|
- | 21 | 6.7 | 1.0 | 1.3 | 0.2 | 0.1 | 0.1 | 0.3 | 1.3 | 1.1 | - | - | - | 25.9 | 11.1 | 71.4 | - | 36.6 | 27.8 |
A. Schuler
|
G | 6 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
Brady Uhl
|
- | 12 | 2.8 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.2 | 0.1 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
K. Washington
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -5 | -0.6 | -1.0 | - | - | - | 0.54 | - | - |
R. Amaefule
|
- | 4 | 1.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | - | - | - | 0.0 | 0 | 0 | -0.03 | 0.0 | 0.0 |
A. Nunnally
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Hatkevich
|
G | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Locklear
|
- | 4 | 1.0 | 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
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