Loyola Maryland Greyhounds
2016 Team Stats (4 games)
51.8
PPG
61.2
Opp
-8.2
Margin
37.9%
FG%
32.8%
3P%
61.4%
FT%
30.0
RPG
10.0
APG
13.5
TO
69.3
Pace
Model Outputs
2015-2016
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 → | 861 (#551) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 917 (#454) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.7 (#278) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.248 (#318) | - |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-12-08 | @ | Maryland Terrapins | L | 47 - 97 |
| 2016-03-02 | vs | Holy Cross Crusaders | W | 58 - 45 |
| 2016-03-07 | vs | Navy Midshipmen | W | 44 - 42 |
| 2016-03-11 | @ | Bucknell Bison | W | 65 - 53 |
| 2016-03-12 | @ | Army Black Knights | L | 51 - 69 |
2016 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. Marshall
|
G | 4 | 36.8 | 12.0 | 2.5 | 2.8 | 1.0 | 0.0 | 3.8 | 14.0 | 0.5 | - | - | - | 33.9 | 17.6 | 70.0 | 0.55 | 39.7 | 36.6 |
B. Betz-White
|
G | 4 | 35.2 | 9.8 | 3.2 | 2.5 | 1.0 | 0.2 | 2.2 | 8.0 | 6.5 | - | - | - | 37.5 | 12.5 | 53.8 | 0.57 | 44.9 | 39.1 |
D. Logan
|
G | 4 | 12.5 | 9.5 | 1.2 | 0.2 | 0.2 | 0.0 | 1.0 | 7.0 | 3.2 | - | - | - | 50.0 | 69.2 | 50.0 | 1.51 | 65.8 | 66.1 |
J. Perry
|
F | 4 | 29.0 | 7.0 | 8.2 | 1.0 | 1.2 | 0.2 | 1.8 | 7.0 | 9.0 | - | - | - | 39.3 | 0 | 75.0 | 0.48 | 44.4 | 39.3 |
M. Shakur
|
- | 4 | 33.0 | 6.2 | 4.8 | 1.5 | 1.0 | 0.5 | 1.5 | 6.0 | 6.5 | - | - | - | 33.3 | 28.6 | 71.4 | - | 46.2 | 41.7 |
L. Mirarchi
|
G | 4 | 31.0 | 3.8 | 1.8 | 0.5 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | 41.7 | 50.0 | 100.0 | 0.93 | 58.2 | 54.2 |
L. Daugherty
|
F | 4 | 10.2 | 2.2 | 2.8 | 0.5 | 0.2 | 0.0 | 0.2 | 1.8 | 3.8 | - | - | - | 57.1 | 50.0 | 0 | 0.33 | 64.3 | 64.3 |
A. Barazotti
|
G | 2 | 2.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 0.0 | - | - | - | 50.0 | 50.0 | 0 | -0.66 | 75.0 | 75.0 |
C. Monzo
|
G | 2 | 12.0 | 1.0 | 2.5 | 1.5 | 0.0 | 0.0 | 0.5 | 3.0 | 1.5 | - | - | - | 16.7 | 0.0 | 0 | 0.3 | 16.7 | 16.7 |
M. McDonald
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.83 | 0 | 0 |
A. Hunter
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0.0 | 0.45 | 0.0 | 0.0 |
M. Kilcullen
|
G | 2 | 3.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | -0.19 | 0.0 | 0.0 |
C. Vannoy
|
F | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | -0.37 | 0.0 | 0.0 |
T. Schultz
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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