Butler
2024 Team Stats (33 games)
77.1
PPG
73.7
Opp
+3.4
Margin
45.3%
FG%
35.5%
3P%
79.1%
FT%
35.2
RPG
15.1
APG
10.9
TO
79.8
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 → | 1116 (#165) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1255 (#89) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.8 (#52) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.457 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.601 (#131) | NetEff +3.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.695 (#40) | AdjNet +7.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.697 (#39) | AdjNet +7.2 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pierre Brooks
|
F | 33 | 32.9 | 14.8 | 4.0 | 1.1 | 0.5 | 0.2 | 1.5 | 12.0 | 7.0 | -20 | -2.2 | -3.9 | 45.6 | 40.6 | 69.2 | -0.16 | 57.2 | 55.7 |
Jahmyl Telfort
|
- | 33 | 34.8 | 13.9 | 4.9 | 3.0 | 1.0 | 0.5 | 1.7 | 12.1 | 9.6 | -40 | -4.4 | -6.8 | 43.5 | 32.7 | 84.6 | -0.54 | 52.4 | 48.0 |
DJ Davis
|
- | 33 | 29.4 | 13.5 | 3.2 | 2.6 | 1.1 | 0.1 | 1.6 | 10.0 | 8.8 | -27 | -3.9 | -5.6 | 42.9 | 35.1 | 95.0 | -0.28 | 59.5 | 53.0 |
P. Alexander
|
G | 32 | 31.9 | 11.3 | 4.6 | 4.9 | 2.2 | 0.1 | 2.8 | 9.2 | 11.1 | -18 | -2.6 | -3.1 | 43.2 | 33.3 | 78.1 | -0.08 | 53.4 | 48.3 |
J. Thomas
|
- | 33 | 22.6 | 7.7 | 6.2 | 0.8 | 0.4 | 1.2 | 0.8 | 5.8 | 9.6 | 17 | 1.4 | 4.7 | 55.7 | 32.0 | 78.0 | 0.22 | 60.5 | 57.8 |
Andre Screen
|
C | 33 | 12.8 | 5.2 | 4.5 | 0.4 | 0.1 | 0.5 | 0.6 | 3.6 | 6.5 | -16 | -2.0 | -11.6 | 58.0 | 0 | 59.3 | -0.16 | 59.7 | 58.0 |
F. Bizjack
|
- | 33 | 14.9 | 4.2 | 1.2 | 0.9 | 0.3 | 0.1 | 0.5 | 3.6 | 2.4 | -56 | -2.5 | -20.1 | 38.3 | 27.0 | 78.8 | -0.26 | 51.3 | 46.7 |
C. Turnbull
|
- | 9 | 11.6 | 4.1 | 2.2 | 0.2 | 0.6 | 1.8 | 0.3 | 3.0 | 5.6 | - | - | - | 51.9 | 42.9 | 100.0 | - | 65.3 | 63.0 |
L. Moore
|
G | 33 | 15.7 | 3.8 | 1.3 | 1.3 | 0.4 | 0.0 | 0.8 | 3.2 | 2.7 | -36 | -5.1 | -16.6 | 38.1 | 37.3 | 75.8 | -0.42 | 51.9 | 47.1 |
B. Kapke
|
F | 22 | 7.0 | 2.0 | 1.7 | 0.3 | 0.1 | 0.0 | 0.2 | 1.4 | 2.5 | -53 | -3.5 | -51.4 | 48.4 | 41.2 | 72.7 | -0.26 | 62.8 | 59.7 |
E. McComb
|
- | 8 | 2.0 | 1.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | 0.9 | 1 | 0.2 | 24.7 | 100.0 | 100.0 | 100.0 | 0.0 | 141.8 | 150.0 |
A. Cassia
|
F | 15 | 3.4 | 0.6 | 0.9 | 0.1 | 0.1 | 0.1 | 0.2 | 0.9 | 0.6 | -5 | -0.7 | -15.7 | 28.6 | 0.0 | 100.0 | -0.1 | 31.2 | 28.6 |
M. Wilmoth
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Mulloy
|
- | 8 | 1.5 | 0.0 | 0.4 | 0.2 | 0.1 | 0.0 | 0.1 | 0.1 | 0.5 | -6 | -2.0 | -100.0 | 0.0 | 0 | 0 | -0.05 | 0.0 | 0.0 |
A. Gavalas
|
- | 7 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | -0.4 | - | - | - | 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