DePaul Blue Demons
2022 Team Stats (8 games)
78.4
PPG
83.6
Opp
-5.2
Margin
40.9%
FG%
26.5%
3P%
77.3%
FT%
38.9
RPG
15.5
APG
15.3
TO
95.0
Pace
Model Outputs
2021-2022
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 → | 920 (#315) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 951 (#290) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.0 (#196) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.111 (#325) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-15 | @ | Texas A&M Aggies | L | 75 - 95 |
| 2021-11-25 | @ | Rutgers Scarlet Knights | W | 77 - 74 |
| 2021-12-09 | @ | Kentucky Wildcats | W | 94 - 85 |
| 2021-12-14 | vs | Nicholls Colonels | W | 100 - 72 |
| 2021-12-22 | vs | Notre Dame Fighting Irish | L | 86 - 91 |
| 2021-12-31 | vs | UConn Huskies | - | Preview |
| 2022-01-26 | vs | UConn Huskies | L | 78 - 80 |
| 2022-02-11 | @ | UConn Huskies | L | 60 - 84 |
| 2022-03-16 | @ | Dayton Flyers | L | 57 - 88 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Morrow
|
- | 7 | 30.0 | 19.3 | 12.1 | 1.9 | 2.0 | 1.9 | 2.4 | 16.6 | 18.1 | 2 | 0.1 | 0.5 | 46.6 | 10.0 | 69.4 | 0.17 | 51.2 | 47.4 |
S. Morris
|
G | 6 | 31.8 | 13.3 | 3.8 | 2.5 | 1.3 | 0.5 | 3.0 | 14.0 | 4.5 | -5 | -0.3 | -1.8 | 41.7 | 18.8 | 87.5 | 0.72 | 45.7 | 43.5 |
L. Held
|
- | 7 | 37.0 | 13.0 | 2.3 | 4.3 | 1.6 | 0.7 | 3.0 | 11.1 | 7.7 | - | - | - | 39.7 | 33.3 | 83.3 | 0.64 | 53.0 | 48.7 |
D. Church
|
G | 7 | 31.1 | 12.3 | 2.9 | 2.0 | 0.6 | 0.3 | 2.0 | 11.1 | 4.9 | - | - | - | 37.2 | 10.5 | 86.7 | 0.26 | 47.1 | 38.5 |
D. Rogers
|
G | 7 | 33.9 | 10.7 | 6.9 | 2.9 | 0.6 | 0.1 | 2.1 | 10.4 | 8.6 | 100 | 5.0 | 27.4 | 38.4 | 34.2 | 100.0 | 1.36 | 49.6 | 47.3 |
K. Collier
|
G | 5 | 24.0 | 7.4 | 3.2 | 1.0 | 0.0 | 0.2 | 1.2 | 5.4 | 5.2 | - | - | - | 48.1 | 42.1 | 75.0 | 1.64 | 64.3 | 63.0 |
D. Bekelja
|
G | 4 | 16.5 | 3.0 | 3.5 | 0.5 | 0.8 | 0.2 | 1.0 | 3.5 | 3.5 | - | - | - | 28.6 | 0.0 | 100.0 | 1.26 | 38.1 | 28.6 |
K. Caudle
|
F | 2 | 10.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.5 | 1.5 | 2.0 | - | - | - | 33.3 | 0 | 0.0 | -0.5 | 23.1 | 33.3 |
K. Holmes
|
G | 5 | 8.2 | 1.0 | 0.8 | 0.0 | 0.2 | 0.0 | 0.2 | 1.4 | 0.4 | 65 | 3.4 | 16.8 | 28.6 | 25.0 | 0.0 | 0.81 | 33.6 | 35.7 |
H. Purcell
|
F | 4 | 3.8 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | -0.5 | - | - | - | 20.0 | 33.3 | 0 | 0.85 | 30.0 | 30.0 |
K. Ammons
|
F | 4 | 4.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | -1.0 | 18 | 3.6 | 17.0 | 0.0 | 0.0 | 50.0 | 0.22 | 8.5 | 0.0 |
K. Rimmer
|
F | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | -0.07 | 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