Towson Tigers
2019 Team Stats (6 games)
60.0
PPG
71.7
Opp
-11.7
Margin
35.4%
FG%
25.2%
3P%
75.5%
FT%
42.7
RPG
10.2
APG
20.8
TO
89.4
Pace
Model Outputs
2018-2019
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 → | 1102 (#148) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1100 (#168) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.4 (#185) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.576 (#174) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-27 | @ | George Washington Revolutionaries | L | 63 - 76 |
| 2018-12-02 | @ | Syracuse Orange | L | 55 - 98 |
| 2019-03-14 | vs | Delaware Blue Hens | W | 59 - 49 |
| 2019-03-15 | vs | Hofstra Pride | W | 69 - 48 |
| 2019-03-16 | @ | Drexel Dragons | W | 53 - 49 |
| 2019-03-22 | @ | UConn Huskies | L | 61 - 110 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Jeter
|
G | 6 | 35.3 | 17.5 | 6.3 | 1.5 | 3.3 | 0.3 | 3.3 | 17.7 | 8.0 | - | - | - | 36.8 | 26.5 | 73.7 | 0.89 | 45.9 | 42.9 |
N. Mayo
|
F | 6 | 32.2 | 12.0 | 6.2 | 1.0 | 0.8 | 1.0 | 3.0 | 12.2 | 5.8 | - | - | - | 34.2 | 41.7 | 94.4 | 1.79 | 44.5 | 37.7 |
Q. Murray
|
G | 6 | 35.0 | 7.7 | 4.5 | 4.7 | 1.2 | 0.0 | 3.5 | 7.7 | 6.8 | - | - | - | 37.0 | 25.0 | 60.0 | 1.19 | 43.7 | 40.2 |
D. Durjan
|
G | 6 | 20.7 | 7.5 | 3.3 | 0.7 | 1.3 | 0.0 | 1.8 | 7.2 | 3.8 | - | - | - | 27.9 | 19.0 | 89.5 | 0.23 | 43.8 | 32.6 |
J. Camp
|
C | 6 | 11.3 | 5.3 | 4.7 | 0.5 | 1.0 | 1.0 | 2.8 | 5.2 | 4.5 | - | - | - | 41.9 | 0 | 54.5 | 1.05 | 44.6 | 41.9 |
M. Lee
|
C | 4 | 23.0 | 4.5 | 6.0 | 0.2 | 1.0 | 2.2 | 1.0 | 3.2 | 9.8 | -13 | -6.5 | -26.0 | 61.5 | 0 | 50.0 | 1.94 | 61.0 | 61.5 |
R. Holder
|
G | 6 | 23.2 | 2.7 | 2.8 | 0.7 | 1.3 | 0.7 | 2.0 | 2.5 | 3.7 | - | - | - | 46.7 | 0 | 50.0 | 1.29 | 47.7 | 46.7 |
A. Flynn
|
F | 5 | 14.8 | 2.6 | 2.6 | 0.4 | 0.4 | 0.6 | 2.2 | 3.2 | 1.2 | - | - | - | 31.2 | 20.0 | 100.0 | 0.31 | 38.5 | 34.4 |
S. Smith
|
G | 4 | 4.2 | 1.8 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 1.8 | 0.2 | 58 | 1.9 | 6.5 | 28.6 | 33.3 | 100.0 | -0.15 | 44.4 | 35.7 |
T. Borgosz
|
C | 5 | 5.4 | 0.8 | 1.8 | 0.0 | 0.0 | 0.0 | 0.8 | 1.6 | 0.2 | - | - | - | 25.0 | 0 | 0 | 0.28 | 25.0 | 25.0 |
C. Rivera
|
G | 4 | 3.2 | 0.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 41 | 10.2 | 153.5 | 50.0 | 0.0 | 0 | -0.41 | 50.0 | 50.0 |
M. Gray
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | 0.91 | 0.0 | 0.0 |
R. Barbour
|
G | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Holmes
|
G | 4 | 4.8 | 0.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.5 | 2.0 | -1.8 | - | - | - | 0.0 | 0.0 | 0 | 2.07 | 0.0 | 0.0 |
J. Davis
|
G | 2 | 2.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 1.14 | 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