Marquette Golden Eagles
2025 Team Stats (2 games)
51.0
PPG
84.5
Opp
-33.5
Margin
34.3%
FG%
22.5%
3P%
82.1%
FT%
31.5
RPG
9.5
APG
22.5
TO
79.7
Pace
69.3
AdjO
56.4
AdjD
#61
Rank
Model Outputs
2024-2025
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 → | 1168 (#77) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1212 (#68) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.5 (#59) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.762 (#84) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.761 (#80) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.916 (#58) | AdjNet +20.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.920 (#58) | AdjNet +21.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.763 (#61) | AdjO 69.3 | AdjD 56.4 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-01 | vs | UConn Huskies | L | 45 - 77 |
| 2025-03-02 | @ | UConn Huskies | L | 57 - 92 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Forbes
|
F | 2 | 29.0 | 16.0 | 4.0 | 1.0 | 0.5 | 1.0 | 5.0 | 12.0 | 5.5 | 71 | 2.2 | 2.7 | 37.5 | 26.7 | 83.3 | 1.31 | 54.6 | 45.8 |
L. Volker
|
G | 2 | 35.0 | 8.0 | 5.0 | 1.5 | 0.5 | 0.0 | 3.5 | 10.0 | 1.5 | 44 | 1.3 | 2.7 | 35.0 | 28.6 | 0 | 0.54 | 40.0 | 40.0 |
J. Mason
|
G | 2 | 24.0 | 7.5 | 3.0 | 2.5 | 2.5 | 0.5 | 1.0 | 7.0 | 8.0 | 43 | 1.3 | 1.9 | 35.7 | 0.0 | 83.3 | 0.6 | 45.1 | 35.7 |
K. Perkins
|
G | 2 | 20.5 | 7.0 | 1.0 | 0.5 | 1.0 | 0.0 | 1.5 | 9.0 | -1.0 | 14 | 0.4 | 0.7 | 33.3 | 20.0 | 50.0 | 0.34 | 37.1 | 36.1 |
O. Porter
|
G | 2 | 31.0 | 5.0 | 1.5 | 3.0 | 0.0 | 0.0 | 3.0 | 4.5 | 2.0 | 42 | 1.3 | 1.7 | 33.3 | 20.0 | 75.0 | 0.75 | 46.5 | 38.9 |
H. Vice
|
G | 2 | 29.0 | 4.5 | 7.5 | 1.0 | 1.5 | 1.0 | 4.5 | 4.0 | 7.0 | 36 | 1.1 | 1.3 | 37.5 | 33.3 | 100.0 | 0.76 | 50.7 | 43.8 |
C. Smith
|
F | 2 | 5.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | -1 | -0.1 | -0.8 | 50.0 | 0.0 | 0 | 0.59 | 50.0 | 50.0 |
J. Bediako
|
F | 2 | 16.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | 1.5 | 8 | 0.3 | 0.8 | 0.0 | 0 | 100.0 | 0.12 | 25.8 | 0.0 |
A. Cracknell
|
F | 2 | 6.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 1.0 | 32 | 1.1 | 3.4 | 50.0 | 0.0 | 0 | 0.43 | 50.0 | 50.0 |
B. Utberg
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | -3 | -0.1 | -0.5 | 0.0 | 0.0 | 0 | -0.15 | 0.0 | 0.0 |
A. Stevens
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -13 | -0.8 | -7.3 | 0 | 0 | 0 | -0.8 | 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