DePaul Blue Demons
2014 Team Stats (6 games)
81.5
PPG
78.3
Opp
+3.2
Margin
41.1%
FG%
32.5%
3P%
72.1%
FT%
37.5
RPG
18.8
APG
15.2
TO
93.3
Pace
Model Outputs
2013-2014
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 → | 959 (#398) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1302 (#40) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.7 (#39) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.823 (#81) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-18 | vs | Illinois State Redbirds | W | 80 - 67 |
| 2013-11-26 | @ | Notre Dame Fighting Irish | L | 76 - 92 |
| 2013-12-01 | @ | Northwestern Wildcats | L | 79 - 82 |
| 2013-12-12 | vs | Kentucky Wildcats | L | 85 - 96 |
| 2014-03-04 | vs | Georgetown Hoyas | W | 91 - 74 |
| 2014-03-09 | vs | Georgetown Hoyas | W | 78 - 54 |
| 2014-03-10 | vs | Marquette Golden Eagles | W | 100 - 90 |
| 2014-03-11 | vs | St. John's Red Storm | W | 65 - 57 |
| 2014-03-22 | vs | Oklahoma Sooners | W | 104 - 100 |
| 2014-03-24 | @ | Duke Blue Devils | W | 74 - 65 |
| 2014-03-29 | @ | Texas A&M Aggies | L | 65 - 84 |
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J.R. Reynolds
|
- | 11 | 30.5 | 17.8 | 2.8 | 1.6 | 1.1 | 0.4 | 1.0 | 13.3 | 9.5 | - | - | - | 45.9 | 42.2 | 75.0 | - | 61.2 | 58.9 |
J. Penny
|
F | 11 | 26.4 | 15.1 | 5.5 | 1.1 | 0.5 | 0.5 | 2.0 | 9.2 | 11.5 | - | - | - | 60.4 | 0 | 67.7 | - | 64.0 | 60.4 |
M. Podkowa
|
G | 11 | 29.7 | 13.3 | 6.9 | 1.4 | 1.8 | 1.6 | 1.5 | 8.9 | 14.5 | - | - | - | 54.1 | 39.5 | 80.6 | - | 65.4 | 61.7 |
T. Bannister
|
G | 11 | 30.1 | 11.4 | 3.0 | 5.7 | 1.4 | 0.0 | 4.3 | 10.5 | 6.7 | - | - | - | 37.4 | 37.2 | 62.2 | - | 47.6 | 44.3 |
K. Walters
|
C | 11 | 29.3 | 9.5 | 4.6 | 5.0 | 1.9 | 0.0 | 2.5 | 8.8 | 9.7 | - | - | - | 34.0 | 27.3 | 89.7 | - | 47.4 | 40.2 |
J. January
|
G | 11 | 21.6 | 7.9 | 4.5 | 1.8 | 1.5 | 0.0 | 1.7 | 8.0 | 6.0 | - | - | - | 28.4 | 11.1 | 78.6 | - | 40.9 | 30.7 |
S. Graves
|
G | 2 | 2.0 | 2.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 1.5 | - | - | - | 0.0 | 0.0 | 83.3 | - | 53.9 | 0.0 |
C. McGee
|
G | 11 | 11.0 | 2.4 | 2.0 | 0.3 | 1.3 | 0.0 | 0.7 | 1.6 | 3.5 | - | - | - | 61.1 | 100.0 | 27.3 | - | 56.9 | 63.9 |
B. Harvey-Carr
|
C | 11 | 6.0 | 1.7 | 1.1 | 0.3 | 0.3 | 0.0 | 0.6 | 1.9 | 0.8 | - | - | - | 33.3 | 0 | 62.5 | - | 38.7 | 33.3 |
K. Smith
|
NA | 5 | 3.6 | 0.4 | 0.4 | 0.2 | 0.0 | 0.4 | 0.0 | 0.4 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
B. Schulte
|
G | 5 | 1.6 | 0.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
M. Bennett-Swanson
|
F | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Crowell
|
G | 4 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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