Drake Bulldogs
2024 Team Stats (5 games)
78.6
PPG
86.0
Opp
-7.4
Margin
53.3%
FG%
32.4%
3P%
84.6%
FT%
27.0
RPG
18.8
APG
19.4
TO
81.5
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 → | 934 (#265) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 913 (#286) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.5 (#176) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.299 (#250) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.052 (#95) | AdjNet -25.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.050 (#95) | AdjNet -25.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-19 | @ | Iowa Hawkeyes | L | 90 - 113 |
| 2023-12-08 | vs | North Dakota State Bison | W | 77 - 67 |
| 2023-12-17 | vs | Creighton Bluejays | L | 78 - 89 |
| 2024-03-17 | vs | Missouri State Bears | W | 76 - 75 |
| 2024-03-22 | @ | Colorado Buffaloes | L | 72 - 86 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Dinnebier
|
G | 5 | 31.8 | 18.8 | 1.8 | 5.4 | 2.0 | 0.2 | 3.4 | 11.2 | 13.6 | 64 | 5.3 | 6.1 | 62.5 | 50.0 | 93.3 | 0.65 | 75.1 | 71.4 |
G. Berg
|
F | 5 | 31.0 | 15.6 | 3.6 | 4.0 | 1.0 | 0.6 | 3.2 | 11.4 | 10.2 | 39 | 3.2 | 3.5 | 50.9 | 16.7 | 78.3 | 0.06 | 58.1 | 52.6 |
A. Miller
|
F | 5 | 26.0 | 13.4 | 6.8 | 1.2 | 1.6 | 1.4 | 3.4 | 9.4 | 11.6 | 77 | 7.0 | 9.0 | 57.4 | 15.4 | 78.6 | 0.58 | 63.0 | 59.6 |
T. McAulay
|
G | 5 | 27.6 | 9.8 | 3.8 | 3.0 | 2.0 | 1.2 | 1.6 | 7.4 | 10.8 | 42 | 3.5 | 4.8 | 45.9 | 23.5 | 84.6 | 0.09 | 57.4 | 51.4 |
C. Becker
|
F | 5 | 29.8 | 9.2 | 3.8 | 2.0 | 1.6 | 0.6 | 2.8 | 5.0 | 9.4 | 35 | 2.9 | 3.1 | 72.0 | 50.0 | 87.5 | 0.57 | 80.6 | 78.0 |
S. Fornshell
|
G | 5 | 14.2 | 5.4 | 2.4 | 0.6 | 0.2 | 0.0 | 1.0 | 4.4 | 3.2 | -12 | -1.1 | -2.6 | 45.5 | 30.8 | 100.0 | -0.17 | 57.9 | 54.5 |
A. Iiams
|
F | 5 | 9.4 | 2.2 | 0.6 | 0.2 | 0.0 | 0.0 | 0.6 | 1.8 | 0.6 | 46 | 4.2 | 22.0 | 44.4 | 42.9 | 0 | 0.45 | 61.1 | 61.1 |
A. Hawthorne
|
G | 5 | 14.0 | 2.0 | 0.0 | 1.2 | 0.2 | 0.2 | 1.0 | 2.4 | 0.2 | 21 | 1.8 | 3.9 | 33.3 | 40.0 | 0 | 0.21 | 41.7 | 41.7 |
A. Brown
|
G | 5 | 8.8 | 1.6 | 0.0 | 0.8 | 0.4 | 0.0 | 0.4 | 1.0 | 1.4 | 154 | 15.4 | 16.2 | 40.0 | 50.0 | 100.0 | 1.17 | 68.0 | 60.0 |
M. Meyer
|
G | 2 | 8.5 | 1.5 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 1.5 | 0.5 | 53 | 4.8 | 12.6 | 33.3 | 33.3 | 0 | 0.74 | 50.0 | 50.0 |
H. Nilges
|
G | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Dailey
|
G | 5 | 3.6 | 0.0 | 0.8 | 0.2 | 0.2 | 0.0 | 0.4 | 0.6 | 0.2 | 19 | 2.1 | 10.1 | 0.0 | 0.0 | 0 | 0.29 | 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