Ohio Bobcats
2018 Team Stats (3 games)
70.7
PPG
71.2
Opp
-5.8
Margin
38.9%
FG%
37.5%
3P%
61.5%
FT%
33.7
RPG
11.3
APG
10.3
TO
82.3
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 → | 1144 (#134) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1222 (#93) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.7 (#95) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.687 (#132) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-25 | vs | Michigan Wolverines | L | 61 - 74 |
| 2018-02-28 | vs | Miami (OH) RedHawks | L | 56 - 78 |
| 2018-03-03 | @ | Akron Zips | L | 59 - 62 |
| 2018-03-05 | vs | Akron Zips | W | 85 - 73 |
| 2018-03-07 | @ | Miami (OH) RedHawks | L | 66 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Burke
|
G | 3 | 24.3 | 13.3 | 3.3 | 0.7 | 0.7 | 0.3 | 0.7 | 9.7 | 8.0 | - | - | - | 48.3 | 66.7 | 66.7 | - | 63.2 | 62.1 |
C. Hooks
|
G | 3 | 23.3 | 12.3 | 6.0 | 1.3 | 2.0 | 1.0 | 3.3 | 11.7 | 7.7 | - | - | - | 42.9 | 0.0 | 53.8 | - | 45.4 | 42.9 |
D. Doseck
|
G | 3 | 29.3 | 12.0 | 2.3 | 1.0 | 2.7 | 0.7 | 1.0 | 8.7 | 9.0 | - | - | - | 42.3 | 50.0 | 85.7 | - | 61.9 | 57.7 |
T. Agler
|
G | 3 | 37.3 | 11.7 | 4.3 | 5.7 | 1.3 | 0.0 | 2.3 | 9.7 | 11.0 | - | - | - | 41.4 | 22.2 | 69.2 | - | 50.4 | 44.8 |
G. Burris
|
F | 3 | 27.0 | 8.3 | 4.3 | 0.3 | 1.3 | 0.3 | 0.0 | 12.0 | 2.7 | - | - | - | 25.0 | 25.0 | 36.4 | - | 30.6 | 29.2 |
K. Barker
|
G | 3 | 29.7 | 7.0 | 3.3 | 1.3 | 1.3 | 0.3 | 1.0 | 6.0 | 6.3 | - | - | - | 38.9 | 38.9 | 0 | - | 58.3 | 58.3 |
H. Thome
|
F | 1 | 13.0 | 6.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 4.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
K. Jessing
|
F | 3 | 13.3 | 4.0 | 3.7 | 0.7 | 1.3 | 0.0 | 1.3 | 3.7 | 4.7 | - | - | - | 45.5 | 0.0 | 100.0 | - | 50.5 | 45.5 |
O. Bower
|
F | 2 | 5.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Stover
|
F | 3 | 7.7 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.3 | 0.3 | - | - | - | 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