Loyola Maryland Greyhounds
2018 Team Stats (4 games)
60.0
PPG
74.4
Opp
-13.4
Margin
37.6%
FG%
25.0%
3P%
71.9%
FT%
36.8
RPG
12.8
APG
17.8
TO
83.3
Pace
Model Outputs
2017-2018
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 → | 884 (#428) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 888 (#451) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.6 (#306) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.248 (#308) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-19 | @ | Marquette Golden Eagles | L | 63 - 83 |
| 2017-12-11 | @ | Maryland Terrapins | L | 45 - 114 |
| 2018-01-08 | vs | Holy Cross Crusaders | W | 77 - 60 |
| 2018-02-28 | vs | Boston University Terriers | W | 65 - 52 |
| 2018-03-05 | @ | Navy Midshipmen | L | 55 - 63 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Therien
|
F | 3 | 35.3 | 16.3 | 5.7 | 2.0 | 1.3 | 0.0 | 5.0 | 15.0 | 5.3 | - | - | - | 40.0 | 15.4 | 100.0 | - | 49.2 | 42.2 |
S. Karcz
|
G | 4 | 35.2 | 15.2 | 13.2 | 3.8 | 2.0 | 0.8 | 1.8 | 11.5 | 21.8 | - | - | - | 45.7 | 0.0 | 65.5 | - | 51.9 | 45.7 |
D. Connolly
|
F | 4 | 20.0 | 8.2 | 3.8 | 0.5 | 0.5 | 0.8 | 1.5 | 6.2 | 6.0 | - | - | - | 48.0 | 66.7 | 100.0 | - | 62.7 | 60.0 |
A. Gray
|
G | 4 | 36.2 | 7.2 | 1.2 | 2.8 | 0.8 | 0.5 | 2.8 | 10.5 | -0.8 | - | - | - | 23.8 | 17.4 | 62.5 | - | 31.9 | 28.6 |
A. Hunter
|
F | 3 | 19.0 | 5.7 | 6.7 | 0.3 | 0.0 | 1.3 | 1.7 | 6.7 | 5.7 | - | - | - | 40.0 | 0 | 33.3 | - | 39.9 | 40.0 |
C. Gelbaugh
|
G | 3 | 29.3 | 5.3 | 2.0 | 3.3 | 1.3 | 0.0 | 3.0 | 6.0 | 3.0 | - | - | - | 27.8 | 18.2 | 80.0 | - | 39.6 | 33.3 |
M. Taylor
|
G | 3 | 15.0 | 4.0 | 1.0 | 0.0 | 0.3 | 0.0 | 1.0 | 3.3 | 1.0 | - | - | - | 40.0 | 37.5 | 100.0 | - | 57.5 | 55.0 |
A. Barazotti
|
G | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
C. Vannoy
|
F | 4 | 14.0 | 2.8 | 2.2 | 0.8 | 0.2 | 0.0 | 0.8 | 2.5 | 2.8 | - | - | - | 50.0 | 0 | 50.0 | - | 50.6 | 50.0 |
C. Jakaitis
|
F | 2 | 7.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | -0.5 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
H. Niles
|
G | 1 | 3.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
M. McDonald
|
G | 2 | 9.5 | 1.5 | 0.5 | 1.0 | 0.0 | 0.0 | 1.5 | 1.5 | 0.0 | - | - | - | 33.3 | 0 | 50.0 | - | 38.7 | 33.3 |
A. Omdahl
|
G | 2 | 18.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | -4.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Kilcullen
|
G | 3 | 2.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.7 | - | - | - | 0.0 | 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