Notre Dame
2013 Team Stats (24 games)
68.5
PPG
63.5
Opp
+6.5
Margin
46.1%
FG%
35.2%
3P%
70.0%
FT%
36.0
RPG
16.8
APG
12.0
TO
74.2
Pace
Model Outputs
2012-2013
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 → | 1358 (#125) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1592 (#16) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.7 (#54) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.735 (#18) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.744 (#47) | NetEff +9.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.905 (#9) | AdjNet +19.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.909 (#8) | AdjNet +19.8 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Natalie Achonwa
|
- | 1 | 0.0 | 23.0 | 12.0 | 3.0 | 1.0 | 1.0 | 2.0 | 13.0 | 25.0 | - | - | - | 76.9 | 0 | 100.0 | - | 80.3 | 76.9 |
A. Braker
|
- | 1 | 0.0 | 15.0 | 1.0 | 1.0 | 5.0 | 3.0 | 1.0 | 7.0 | 17.0 | - | - | - | 85.7 | 0 | 50.0 | - | 77.8 | 85.7 |
J. Loyd
|
- | 1 | 0.0 | 15.0 | 4.0 | 1.0 | 3.0 | 0.0 | 4.0 | 10.0 | 9.0 | - | - | - | 50.0 | 25.0 | 100.0 | - | 63.8 | 55.0 |
J. Grant
|
G | 35 | 36.3 | 13.3 | 2.9 | 5.5 | 1.3 | 0.2 | 2.9 | 9.5 | 10.9 | - | - | - | 40.7 | 34.4 | 70.9 | - | 61.1 | 47.4 |
J. Cooley
|
F | 35 | 29.3 | 13.1 | 10.1 | 0.8 | 0.7 | 1.2 | 1.4 | 7.3 | 17.2 | - | - | - | 58.7 | 100.0 | 68.5 | 0.44 | 73.6 | 58.9 |
E. Atkins
|
G | 35 | 38.3 | 11.2 | 2.6 | 5.5 | 1.4 | 0.1 | 2.1 | 7.6 | 11.1 | - | - | - | 43.8 | 41.3 | 65.8 | - | 65.1 | 51.9 |
P. Connaughton
|
G | 35 | 32.1 | 8.9 | 4.7 | 2.1 | 0.5 | 0.3 | 0.9 | 6.0 | 9.6 | - | - | - | 44.5 | 36.2 | 71.8 | - | 67.9 | 55.5 |
K. McBride
|
- | 1 | 0.0 | 8.0 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 3.0 | 11.0 | - | - | - | 100.0 | 0 | 100.0 | - | 103.1 | 100.0 |
S. Martin
|
G | 18 | 29.7 | 7.9 | 5.9 | 1.3 | 0.7 | 0.4 | 0.7 | 5.2 | 10.4 | - | - | - | 46.2 | 45.8 | 57.1 | - | 72.1 | 60.8 |
G. Sherman
|
C | 30 | 15.6 | 7.0 | 3.4 | 0.4 | 0.2 | 0.4 | 1.2 | 4.4 | 5.8 | - | - | - | 54.5 | 0 | 63.2 | - | 70.9 | 54.5 |
C. Biedscheid
|
G | 34 | 17.4 | 6.2 | 1.4 | 1.0 | 0.2 | 0.3 | 0.9 | 5.1 | 3.0 | - | - | - | 35.6 | 31.1 | 80.0 | - | 54.8 | 45.1 |
T. Knight
|
F | 28 | 17.5 | 5.5 | 3.5 | 0.8 | 0.3 | 0.9 | 0.6 | 4.3 | 6.0 | - | - | - | 50.8 | 0 | 72.7 | - | 57.2 | 50.8 |
Z. Auguste
|
C | 25 | 10.7 | 3.7 | 2.7 | 0.2 | 0.4 | 0.5 | 0.9 | 2.9 | 3.8 | - | - | - | 52.8 | 0 | 68.2 | - | 56.9 | 52.8 |
A. Burgett
|
F | 18 | 3.3 | 0.6 | 0.6 | 0.1 | 0.0 | 0.0 | 0.1 | 0.4 | 0.7 | - | - | - | 25.0 | 0.0 | 100.0 | - | 56.4 | 25.0 |
P. Crowley
|
G | 15 | 2.0 | 0.1 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.2 | 0.5 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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