Notre Dame
2026 Team Stats (30 games)
74.3
PPG
75.2
Opp
-1.0
Margin
44.2%
FG%
35.1%
3P%
69.7%
FT%
36.5
RPG
12.2
APG
11.6
TO
78.3
Pace
Model Outputs
2025-2026
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 → | 883 (#272) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 988 (#195) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 892 (#334) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.9 (#87) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.8 (#127) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.453 (#198) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.648 (#89) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.448 (#230) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1011 (#174) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Burton
|
- | 10 | 30.1 | 18.5 | 2.8 | 3.7 | 1.6 | 0.1 | 2.6 | 13.3 | 10.8 | 84 | 8.4 | 12.0 | 48.9 | 30.6 | 91.7 | 1.11 | 60.0 | 53.0 |
Jalen Haralson
|
- | 25 | 27.0 | 16.4 | 4.0 | 2.6 | 0.5 | 0.3 | 2.8 | 11.2 | 9.9 | 1 | 0.0 | 0.1 | 51.3 | 20.8 | 67.8 | 0.32 | 57.5 | 52.2 |
C. Certa
|
- | 29 | 26.6 | 12.7 | 1.7 | 0.9 | 0.3 | 0.0 | 0.7 | 9.9 | 5.0 | 2 | 0.1 | 0.2 | 36.6 | 36.2 | 88.3 | 0.26 | 56.2 | 49.8 |
B. Shrewsberry
|
- | 29 | 32.7 | 12.1 | 3.1 | 1.9 | 0.4 | 0.1 | 1.1 | 10.0 | 6.6 | 76 | 3.2 | 6.6 | 38.8 | 40.6 | 77.8 | 0.81 | 56.0 | 53.3 |
C. Towt
|
F | 29 | 26.0 | 5.6 | 9.0 | 1.7 | 0.7 | 0.3 | 1.3 | 4.1 | 11.9 | 62 | 2.6 | 4.6 | 61.3 | 0 | 32.1 | 0.79 | 57.3 | 61.3 |
S. Mohammed
|
- | 29 | 16.2 | 5.5 | 2.6 | 1.5 | 0.4 | 0.1 | 1.4 | 5.2 | 3.6 | 0 | 0.0 | 0.0 | 42.7 | 22.2 | 54.5 | -0.26 | 47.2 | 45.3 |
Brady Koehler
|
- | 28 | 15.5 | 5.3 | 3.2 | 0.3 | 0.6 | 0.6 | 0.9 | 4.1 | 5.1 | 9 | 0.4 | 1.4 | 43.9 | 36.5 | 72.5 | 0.14 | 56.2 | 52.2 |
L. Imes
|
- | 29 | 21.0 | 4.8 | 3.3 | 1.6 | 0.7 | 0.1 | 1.2 | 4.7 | 4.7 | 16 | 0.7 | 2.2 | 38.5 | 33.8 | 50.0 | -0.14 | 48.3 | 47.8 |
G. Sundra
|
- | 29 | 18.0 | 3.5 | 3.2 | 0.4 | 0.2 | 0.4 | 0.4 | 2.9 | 4.4 | 27 | 1.2 | 2.6 | 44.0 | 32.0 | 63.2 | 0.63 | 55.2 | 53.6 |
Ryder Frost
|
- | 26 | 6.3 | 2.7 | 0.8 | 0.3 | 0.0 | 0.0 | 0.2 | 2.2 | 1.4 | -3 | -0.2 | -1.1 | 40.4 | 38.5 | 62.5 | 0.0 | 58.7 | 57.9 |
K. Njie
|
- | 16 | 11.8 | 2.6 | 3.4 | 0.1 | 0.1 | 0.2 | 0.6 | 1.1 | 4.7 | 27 | 1.4 | 8.2 | 66.7 | 0.0 | 72.0 | 0.18 | 72.4 | 66.7 |
Matthew Maclellan
|
- | 8 | 4.0 | 1.2 | 1.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.6 | 1.8 | -8 | -1.3 | -13.1 | 80.0 | 0 | 66.7 | -0.1 | 79.1 | 80.0 |
B. Stevens
|
- | 5 | 2.4 | 0.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.6 | 0.4 | -1 | -0.2 | -4.7 | 33.3 | 0.0 | 50.0 | 0.02 | 38.7 | 33.3 |
M. Zackery IV
|
G | 4 | 4.8 | 0.5 | 0.8 | 0.2 | 0.0 | 0.0 | 0.2 | 1.0 | 0.2 | 63 | 3.3 | 9.3 | 25.0 | 0.0 | 0 | 0.49 | 25.0 | 25.0 |
Tommy Ahneman
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Luke Devine
|
F | 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