Bradley
2023 Team Stats (22 games)
72.0
PPG
65.6
Opp
+4.5
Margin
46.4%
FG%
35.7%
3P%
67.7%
FT%
34.7
RPG
13.2
APG
11.5
TO
75.9
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 → | 1327 (#57) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1325 (#69) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.1 (#98) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.475 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.610 (#106) | NetEff +4.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.143 (#106) | AdjNet -15.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.142 (#106) | AdjNet -15.5 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Mast
|
- | 21 | 28.9 | 14.0 | 7.9 | 2.3 | 0.5 | 0.5 | 2.0 | 9.1 | 14.0 | 37 | 3.1 | 3.3 | 53.4 | 36.1 | 66.7 | 1.15 | 68.2 | 56.8 |
Malevy Leons
|
- | 23 | 30.3 | 12.0 | 6.1 | 1.3 | 1.5 | 1.3 | 1.3 | 6.5 | 14.5 | - | - | - | 49.0 | 37.1 | 81.5 | - | 78.0 | 57.7 |
Duke Deen
|
- | 23 | 26.7 | 10.8 | 2.3 | 2.7 | 0.8 | 0.0 | 2.1 | 7.3 | 7.2 | - | - | - | 37.7 | 39.5 | 85.0 | - | 67.4 | 51.2 |
J. Henry
|
- | 19 | 20.8 | 8.8 | 4.9 | 0.8 | 0.9 | 0.3 | 1.3 | 5.7 | 8.7 | - | - | - | 55.0 | 0.0 | 54.8 | - | 59.2 | 55.0 |
C. Hickman
|
G | 23 | 30.8 | 8.7 | 2.7 | 2.2 | 0.8 | 0.2 | 1.6 | 6.4 | 6.5 | 0 | 0.0 | 0.0 | 41.2 | 34.2 | 54.5 | 0.93 | 63.4 | 50.0 |
Zek Montgomery
|
- | 19 | 24.1 | 8.3 | 3.7 | 0.9 | 0.9 | 0.5 | 1.4 | 6.5 | 6.4 | - | - | - | 42.3 | 43.6 | 66.7 | - | 58.6 | 52.0 |
V. Tahvanainen
|
- | 22 | 20.9 | 5.4 | 3.2 | 1.3 | 0.4 | 0.1 | 0.8 | 3.7 | 5.7 | - | - | - | 39.0 | 26.4 | 72.7 | - | 67.9 | 47.6 |
Darius Hannah
|
- | 23 | 14.9 | 4.8 | 2.7 | 1.3 | 0.4 | 0.5 | 1.3 | 2.8 | 5.5 | - | - | - | 61.5 | 0 | 58.8 | 0.01 | 76.6 | 61.5 |
S. Agiste
|
- | 1 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 100.0 | 0 | 50.0 | - | 79.8 | 100.0 |
Christian Davis
|
- | 13 | 8.2 | 1.8 | 1.2 | 0.5 | 0.4 | 0.1 | 0.4 | 0.8 | 2.7 | 32 | 2.5 | 3.4 | 30.0 | 0.0 | 0 | 1.13 | 115.0 | 30.0 |
A. Jonovic
|
- | 4 | 4.8 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 1.2 | -0.5 | -20 | -1.3 | -1.4 | 60.0 | 0 | 0.0 | 0.76 | 55.1 | 60.0 |
G. Biliew
|
- | 8 | 5.4 | 1.2 | 1.0 | 0.5 | 0.1 | 0.0 | 0.0 | 0.1 | 2.8 | -71 | -6.5 | -10.2 | 100.0 | 0 | 66.7 | -0.11 | 137.4 | 100.0 |
J. Weathers
|
G | 16 | 7.4 | 1.1 | 0.6 | 0.7 | 0.4 | 0.1 | 0.4 | 1.6 | 0.8 | - | - | - | 24.0 | 14.3 | 40.0 | - | 31.2 | 26.0 |
Connor Linke
|
- | 11 | 3.9 | 0.0 | 0.7 | 0.4 | 0.1 | 0.0 | 0.6 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
Sam Hennessy
|
- | 4 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Cade Hardtke
|
- | 5 | 1.4 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.4 | -0.2 | - | - | - | 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