Dayton
2020 Team Stats (21 games)
78.6
PPG
62.2
Opp
+16.2
Margin
52.3%
FG%
35.5%
3P%
72.0%
FT%
35.6
RPG
17.9
APG
11.7
TO
75.1
Pace
Model Outputs
2019-2020
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 → | 1420 (#53) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1428 (#49) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.2 (#40) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.997 (#1) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.904 (#3) | NetEff +18.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.979 (#1) | AdjNet +33.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.981 (#1) | AdjNet +33.6 |
2020 Schedule & Results
2020 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
O. Toppin
|
- | 23 | 31.3 | 19.6 | 7.4 | 2.3 | 1.1 | 1.2 | 2.3 | 12.2 | 17.0 | - | - | - | 63.0 | 38.2 | 69.4 | - | 68.5 | 66.7 |
C. Johnson
|
F | 1 | 14.0 | 18.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 10.0 | 11.0 | 44 | 3.7 | 4.3 | 90.0 | 0 | 0.0 | 0.52 | 86.2 | 90.0 |
J. Crutcher
|
- | 22 | 33.4 | 15.5 | 3.2 | 4.5 | 0.7 | 0.2 | 1.9 | 10.3 | 11.9 | - | - | - | 48.2 | 43.7 | 85.5 | - | 64.9 | 59.7 |
T. Landers
|
G | 23 | 30.0 | 10.9 | 7.7 | 2.7 | 1.1 | 0.3 | 1.3 | 7.7 | 13.7 | - | - | - | 55.1 | 26.0 | 58.7 | - | 60.0 | 58.8 |
I. Watson
|
G | 23 | 22.3 | 10.6 | 2.3 | 1.4 | 0.2 | 0.3 | 0.9 | 7.3 | 6.7 | - | - | - | 50.3 | 37.9 | 85.7 | - | 64.4 | 60.2 |
R. Mikesell
|
F | 23 | 26.9 | 7.6 | 4.8 | 1.8 | 0.7 | 0.7 | 0.8 | 6.4 | 8.3 | - | - | - | 44.9 | 19.4 | 73.2 | - | 52.7 | 49.0 |
R. Chatman
|
G | 23 | 26.4 | 6.8 | 2.3 | 3.0 | 1.3 | 0.1 | 2.0 | 5.2 | 6.3 | - | - | - | 39.2 | 32.8 | 75.0 | - | 53.9 | 47.5 |
J. Tshimanga
|
C | 23 | 10.2 | 3.3 | 2.6 | 0.4 | 0.3 | 0.4 | 0.9 | 2.1 | 4.1 | - | - | - | 66.7 | 0 | 54.2 | - | 65.7 | 66.7 |
D. Cohill
|
- | 22 | 13.0 | 2.4 | 1.3 | 0.5 | 0.4 | 0.2 | 0.8 | 1.7 | 2.3 | - | - | - | 48.6 | 42.9 | 73.7 | - | 58.4 | 52.7 |
J. Matos
|
G | 19 | 8.9 | 1.7 | 1.5 | 0.9 | 0.2 | 0.2 | 0.7 | 1.9 | 1.9 | - | - | - | 30.6 | 43.5 | 25.0 | - | 43.7 | 44.4 |
C. Wilson
|
PG | 11 | 1.7 | 0.5 | 0.3 | 0.3 | 0.1 | 0.0 | 0.0 | 0.3 | 0.9 | 23 | 1.5 | 2.0 | 66.7 | 66.7 | 0 | 0.18 | 100.0 | 100.0 |
J. Becker
|
G | 4 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
C. Greer
|
G | 10 | 1.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Loughran
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Swerlein
|
G | 1 | 2.0 | 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