Towson Tigers
2018 Team Stats (2 games)
51.0
PPG
67.7
Opp
-16.0
Margin
31.5%
FG%
28.6%
3P%
53.8%
FT%
35.0
RPG
9.5
APG
19.5
TO
88.7
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 → | 1109 (#151) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1053 (#220) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.0 (#211) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.507 (#206) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-03-01 | @ | UNC Wilmington Seahawks | L | 53 - 64 |
| 2018-03-03 | vs | Delaware Blue Hens | L | 55 - 81 |
| 2018-03-07 | @ | UNC Wilmington Seahawks | L | 47 - 58 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Bankston
|
G | 2 | 25.5 | 10.0 | 4.0 | 0.0 | 2.0 | 0.0 | 3.5 | 10.0 | 2.5 | - | - | - | 30.0 | 33.3 | 42.9 | - | 38.2 | 35.0 |
M. Lee
|
C | 2 | 16.5 | 9.0 | 7.0 | 0.0 | 0.5 | 0.5 | 1.5 | 8.0 | 7.5 | - | - | - | 56.2 | 0 | 0 | - | 56.2 | 56.2 |
D. Durjan
|
G | 2 | 23.0 | 9.0 | 3.0 | 2.0 | 1.0 | 0.0 | 3.5 | 10.0 | 1.5 | - | - | - | 35.0 | 27.3 | 100.0 | - | 44.0 | 42.5 |
N. Mayo
|
F | 2 | 29.5 | 8.5 | 6.5 | 1.5 | 0.0 | 0.5 | 1.5 | 11.5 | 4.0 | - | - | - | 26.1 | 0.0 | 55.6 | - | 31.5 | 26.1 |
M. Cuevas
|
F | 2 | 26.0 | 8.0 | 9.5 | 3.0 | 0.5 | 0.0 | 5.0 | 8.5 | 7.5 | - | - | - | 41.2 | 0 | 100.0 | - | 44.7 | 41.2 |
J. Holmes
|
G | 2 | 34.0 | 5.0 | 0.5 | 2.5 | 1.5 | 0.5 | 3.0 | 9.0 | -2.0 | - | - | - | 22.2 | 50.0 | 0 | - | 27.8 | 27.8 |
R. Barbour
|
G | 2 | 28.0 | 1.5 | 2.5 | 0.5 | 1.0 | 0.0 | 0.0 | 6.0 | -0.5 | - | - | - | 8.3 | 16.7 | 0 | - | 12.5 | 12.5 |
D. Thomas
|
C | 2 | 7.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Gray
|
G | 2 | 7.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | 0.0 | -0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Borgosz
|
C | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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