Butler Bulldogs
2024 Team Stats (3 games)
60.0
PPG
84.0
Opp
-24.0
Margin
42.1%
FG%
51.2%
3P%
57.1%
FT%
25.3
RPG
14.0
APG
10.7
TO
70.5
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 → | 940 (#260) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1015 (#224) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.9 (#99) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.268 (#263) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.232 (#74) | AdjNet -10.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.225 (#74) | AdjNet -10.6 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-18 | @ | UConn Huskies | L | 62 - 88 |
| 2024-01-10 | @ | Creighton Bluejays | L | 53 - 89 |
| 2024-02-04 | vs | Creighton Bluejays | L | 65 - 75 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Kent
|
F | 3 | 31.0 | 11.0 | 4.3 | 2.3 | 0.3 | 0.3 | 1.0 | 8.3 | 9.0 | 17 | 2.1 | 2.1 | 44.0 | 53.8 | 44.4 | -0.07 | 57.0 | 58.0 |
C. Strande
|
G | 3 | 34.0 | 10.3 | 4.0 | 2.7 | 2.0 | 0.0 | 2.0 | 9.7 | 7.3 | 12 | 1.5 | 1.5 | 44.8 | 33.3 | 80.0 | -0.19 | 49.7 | 46.6 |
S. Jaynes
|
F | 3 | 22.7 | 10.3 | 1.7 | 1.3 | 0.0 | 1.3 | 0.7 | 8.7 | 5.3 | 11 | 1.4 | 2.3 | 42.3 | 100.0 | 88.9 | -0.18 | 51.7 | 44.2 |
K. Norman
|
G | 3 | 26.3 | 8.0 | 0.7 | 2.3 | 1.0 | 0.0 | 1.7 | 8.3 | 2.0 | -25 | -3.1 | -4.3 | 40.0 | 50.0 | 0 | -0.73 | 48.0 | 48.0 |
R. Makalusky
|
F | 3 | 22.7 | 7.0 | 2.7 | 1.0 | 0.3 | 0.3 | 0.3 | 4.7 | 6.3 | 5 | 0.6 | 0.6 | 57.1 | 66.7 | 50.0 | -0.37 | 70.6 | 71.4 |
J. Meulemans
|
G | 2 | 33.0 | 5.5 | 1.0 | 0.5 | 0.5 | 0.0 | 2.0 | 4.5 | 1.0 | 26 | 2.9 | 4.1 | 44.4 | 33.3 | 50.0 | 0.34 | 55.7 | 55.6 |
C. Carter
|
F | 3 | 15.7 | 4.0 | 3.7 | 1.0 | 0.0 | 0.0 | 1.7 | 5.3 | 1.7 | - | - | - | 37.5 | 0 | 0.0 | -0.07 | 33.8 | 37.5 |
K. Wingler
|
G | 3 | 11.7 | 3.3 | 1.0 | 0.7 | 0.0 | 0.0 | 0.7 | 2.7 | 1.7 | - | - | - | 50.0 | 66.7 | 0 | - | 62.5 | 62.5 |
A. Wiggins
|
G | 3 | 12.3 | 2.3 | 1.0 | 2.3 | 1.0 | 0.0 | 1.0 | 3.7 | 2.0 | 40 | 5.0 | 7.6 | 18.2 | 33.3 | 50.0 | 0.47 | 27.4 | 22.7 |
L. Stoddard
|
F | 2 | 2.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 8 | 1.3 | 6.7 | 0.0 | 0 | 0 | 0.07 | 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