Fairleigh Dickinson Knights
2023 Team Stats (5 games)
64.6
PPG
54.0
Opp
+10.6
Margin
41.8%
FG%
35.6%
3P%
68.2%
FT%
37.4
RPG
14.2
APG
13.0
TO
75.1
Pace
Model Outputs
2022-2023
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 → | 1233 (#45) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1190 (#87) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.6 (#175) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.842 (#60) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-09 | vs | Georgetown Hoyas | L | 60 - 74 |
| 2023-01-16 | vs | Stonehill Skyhawks | W | 70 - 36 |
| 2023-03-06 | vs | Central Connecticut Blue Devils | W | 74 - 48 |
| 2023-03-09 | vs | St. Francis Brooklyn Terriers | W | 59 - 40 |
| 2023-03-12 | vs | Sacred Heart Pioneers | L | 60 - 72 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Wilson
|
F | 5 | 26.4 | 18.6 | 8.2 | 1.8 | 0.8 | 0.2 | 4.4 | 10.8 | 14.4 | - | - | - | 51.9 | 85.7 | 73.8 | - | 64.2 | 57.4 |
S. DeAngelo
|
F | 5 | 32.0 | 11.2 | 3.4 | 2.6 | 1.0 | 1.0 | 1.4 | 10.6 | 7.2 | - | - | - | 43.4 | 23.1 | 63.6 | - | 48.4 | 46.2 |
D. Forgues
|
G | 5 | 27.8 | 11.0 | 4.4 | 1.4 | 0.4 | 0.0 | 1.6 | 10.6 | 5.0 | - | - | - | 41.5 | 44.4 | 42.9 | - | 49.0 | 49.1 |
E. Fajardo
|
G | 5 | 21.2 | 6.6 | 2.0 | 1.0 | 0.2 | 0.0 | 1.2 | 4.6 | 4.0 | - | - | - | 39.1 | 26.7 | 100.0 | - | 59.3 | 47.8 |
C. Carbonell
|
G | 5 | 21.8 | 6.0 | 4.8 | 0.2 | 0.8 | 0.2 | 1.2 | 5.4 | 5.4 | - | - | - | 40.7 | 36.4 | 0 | - | 55.6 | 55.6 |
A. Rovira Ayuso
|
G | 2 | 9.5 | 4.5 | 1.5 | 0.0 | 0.5 | 0.0 | 0.5 | 3.5 | 2.5 | - | - | - | 42.9 | 50.0 | 0 | - | 64.3 | 64.3 |
E. Scott
|
G | 3 | 12.3 | 4.3 | 2.0 | 1.0 | 0.7 | 0.0 | 0.3 | 4.0 | 3.7 | - | - | - | 41.7 | 0.0 | 50.0 | - | 44.4 | 41.7 |
M. Elebring
|
F | 5 | 13.8 | 2.6 | 4.0 | 1.2 | 0.2 | 0.0 | 0.6 | 3.4 | 4.0 | - | - | - | 35.3 | 100.0 | 0 | - | 38.2 | 38.2 |
D. Garca Blackwood
|
G | 2 | 3.0 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 100.0 | 100.0 | 0 | - | 125.0 | 125.0 |
A. Conklin
|
G | 5 | 14.0 | 2.4 | 1.4 | 0.8 | 0.2 | 0.0 | 0.2 | 2.4 | 2.2 | - | - | - | 33.3 | 27.3 | 50.0 | - | 46.6 | 45.8 |
M. Mahoney
|
F | 1 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
A. Babore
|
G | 4 | 2.2 | 0.5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | - | - | - | 50.0 | 0.0 | 0.0 | - | 34.7 | 50.0 |
M. Selvaggi
|
G | 5 | 27.0 | 0.2 | 3.6 | 4.6 | 0.6 | 0.2 | 1.2 | 2.2 | 5.8 | - | - | - | 0.0 | 0.0 | 50.0 | - | 4.2 | 0.0 |
A. McGinn
|
G | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Andrews
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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