Notre Dame Fighting Irish
2025 Team Stats (33 games)
83.8
PPG
61.9
Opp
+22.5
Margin
48.1%
FG%
39.4%
3P%
77.6%
FT%
42.4
RPG
17.3
APG
14.7
TO
88.2
Pace
90.2
AdjO
52.0
AdjD
#4
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 → | 1415 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1442 (#9) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.0 (#4) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.972 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.962 (#9) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.998 (#5) | AdjNet +53.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.998 (#5) | AdjNet +54.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.970 (#4) | AdjO 90.2 | AdjD 52.0 |
2025 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Hidalgo
|
G | 32 | 35.5 | 23.8 | 5.0 | 3.6 | 3.7 | 0.2 | 2.7 | 18.0 | 15.6 | 149 | 4.7 | 4.6 | 46.3 | 40.0 | 85.6 | 1.9 | 57.6 | 51.7 |
O. Miles
|
G | 34 | 33.0 | 15.4 | 5.6 | 5.8 | 1.4 | 0.2 | 2.5 | 11.1 | 14.8 | 137 | 4.0 | 4.3 | 48.3 | 40.6 | 79.0 | 1.75 | 61.4 | 57.9 |
S. Citron
|
- | 32 | 34.0 | 14.1 | 5.4 | 2.7 | 1.9 | 0.9 | 1.8 | 10.8 | 12.3 | 141 | 4.1 | 4.6 | 48.4 | 37.2 | 89.0 | 1.72 | 59.7 | 55.8 |
L. King
|
- | 33 | 29.8 | 11.5 | 10.4 | 1.6 | 2.0 | 0.9 | 2.0 | 9.4 | 14.9 | 139 | 4.2 | 4.9 | 56.3 | 0.0 | 50.0 | 1.9 | 56.3 | 56.3 |
M. Westbeld
|
- | 21 | 22.6 | 7.6 | 2.8 | 0.9 | 1.0 | 1.0 | 1.0 | 6.8 | 5.5 | 68 | 2.8 | 4.6 | 47.2 | 30.8 | 76.9 | 0.53 | 54.2 | 52.8 |
C. Prosper
|
G | 34 | 22.3 | 5.8 | 3.7 | 0.9 | 0.9 | 0.7 | 1.7 | 4.8 | 5.5 | 104 | 2.8 | 4.3 | 45.7 | 32.6 | 65.4 | 1.14 | 53.0 | 50.0 |
E. Risch
|
G | 13 | 13.7 | 5.7 | 1.8 | 1.1 | 0.5 | 0.2 | 0.7 | 4.8 | 3.8 | 11 | 0.8 | 2.4 | 44.4 | 41.9 | 0 | -0.3 | 58.7 | 58.7 |
L. Karlen
|
F | 25 | 18.0 | 5.3 | 3.4 | 1.4 | 0.9 | 0.4 | 1.4 | 4.5 | 5.5 | 90 | 3.5 | 6.8 | 50.4 | 52.9 | 76.9 | 0.75 | 56.0 | 54.4 |
K. Koval
|
F | 32 | 18.3 | 5.3 | 4.7 | 1.2 | 0.4 | 1.7 | 2.2 | 5.1 | 6.2 | 66 | 2.1 | 3.9 | 45.1 | 0 | 69.7 | 0.83 | 47.9 | 45.1 |
S. Cernugel
|
G | 20 | 3.2 | 0.8 | 0.1 | 0.1 | 0.2 | 0.0 | 0.1 | 0.4 | 0.7 | 0 | 0.0 | 0.0 | 75.0 | 66.7 | 50.0 | -0.73 | 84.5 | 87.5 |
B. Tehrani
|
F | 8 | 1.4 | 0.5 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.5 | 0.1 | -5 | -0.6 | -17.7 | 50.0 | 0 | 0 | -1.69 | 50.0 | 50.0 |
L. Jensen
|
G | 10 | 2.2 | 0.3 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 0.6 | -3 | -0.3 | -5.6 | 50.0 | 50.0 | 0 | 0.71 | 75.0 | 75.0 |
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