Marquette Golden Eagles
2026 Team Stats (29 games)
66.9
PPG
63.2
Opp
+3.7
Margin
44.8%
FG%
35.8%
3P%
75.9%
FT%
35.2
RPG
16.9
APG
16.4
TO
78.1
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1007 (#172) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.0 (#102) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.534 (#187) | AdjO 63.1 | AdjD 61.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.864 (#96) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.817 (#104) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1107 (#134) | RD 148 | GP 29 |
2026 Schedule & Results
2026 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 | 27 | 31.5 | 15.4 | 5.1 | 2.1 | 0.9 | 1.8 | 3.3 | 12.6 | 9.6 | 97 | 4.6 | 6.9 | 44.2 | 33.3 | 76.3 | 0.91 | 54.7 | 50.9 |
H. Vice
|
G | 29 | 33.1 | 13.9 | 8.8 | 1.9 | 0.8 | 0.8 | 2.2 | 10.6 | 13.4 | 77 | 3.3 | 4.4 | 55.0 | 40.4 | 70.5 | -2.24 | 60.2 | 58.5 |
L. Volker
|
G | 29 | 34.0 | 12.1 | 5.2 | 2.6 | 1.5 | 0.5 | 1.9 | 9.2 | 10.9 | 115 | 5.0 | 6.7 | 45.1 | 42.7 | 87.3 | 3.0 | 59.8 | 55.6 |
J. Mason
|
G | 28 | 25.5 | 8.5 | 3.5 | 4.6 | 1.4 | 0.5 | 2.9 | 8.2 | 7.4 | 62 | 2.8 | 4.3 | 41.7 | 23.5 | 77.1 | 2.67 | 47.2 | 43.5 |
O. Porter
|
G | 21 | 27.4 | 5.7 | 2.7 | 2.9 | 1.4 | 0.3 | 2.3 | 4.8 | 5.9 | 50 | 2.4 | 3.6 | 43.0 | 37.8 | 66.7 | -0.52 | 53.8 | 51.5 |
J. Meulemans
|
G | 26 | 21.4 | 4.2 | 0.9 | 1.1 | 0.1 | 0.2 | 0.7 | 3.8 | 1.9 | 128 | 6.4 | 11.5 | 35.0 | 33.7 | 90.0 | 2.67 | 51.7 | 49.5 |
K. Perkins
|
G | 22 | 16.7 | 4.2 | 2.0 | 1.7 | 0.5 | 0.1 | 1.0 | 4.2 | 3.4 | 92 | 4.4 | 10.7 | 33.7 | 30.8 | 69.7 | 1.04 | 43.7 | 38.0 |
C. Smith
|
F | 27 | 9.6 | 3.3 | 1.6 | 0.3 | 0.1 | 0.1 | 0.6 | 2.8 | 2.0 | 34 | 1.6 | 4.6 | 49.3 | 0 | 78.9 | 0.73 | 53.4 | 49.3 |
J. Bediako
|
F | 25 | 9.2 | 2.4 | 2.1 | 0.4 | 0.2 | 0.5 | 0.8 | 1.9 | 2.8 | 78 | 3.7 | 14.6 | 52.1 | 0 | 58.8 | 2.75 | 54.1 | 52.1 |
B. Utberg
|
G | 26 | 10.3 | 1.7 | 1.4 | 1.0 | 0.6 | 0.1 | 0.8 | 1.8 | 2.1 | 76 | 3.8 | 21.5 | 31.9 | 30.3 | 100.0 | 2.22 | 45.1 | 42.6 |
K. Herring
|
G | 11 | 3.5 | 1.7 | 0.5 | 0.1 | 0.1 | 0.2 | 0.1 | 1.5 | 1.0 | 25 | 2.5 | 36.7 | 37.5 | 40.0 | 50.0 | -0.44 | 56.3 | 56.2 |
A. Cracknell
|
F | 7 | 3.1 | 0.4 | 0.4 | 0.0 | 0.1 | 0.0 | 0.4 | 0.3 | 0.3 | -18 | -3.0 | -42.9 | 50.0 | 100.0 | 0 | -2.26 | 75.0 | 75.0 |
A. Akot
|
F | 10 | 2.2 | 0.0 | 0.1 | 0.2 | 0.0 | 0.1 | 0.2 | 0.3 | -0.1 | 252 | 10.1 | 14.3 | 0.0 | 0.0 | 0 | 1.9 | 0.0 | 0.0 |
A. Stevens
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
JJ Barnes
|
G | 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