Ohio Bobcats
2023 Team Stats (3 games)
58.0
PPG
75.0
Opp
-17.0
Margin
38.9%
FG%
25.0%
3P%
65.9%
FT%
32.3
RPG
13.7
APG
22.3
TO
82.8
Pace
Model Outputs
2022-2023
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 → | 1093 (#132) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1037 (#208) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.0 (#229) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.405 (#216) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-17 | vs | Ohio State Buckeyes | L | 56 - 86 |
| 2022-11-26 | @ | Indiana State Sycamores | W | 74 - 62 |
| 2022-12-13 | vs | Cincinnati Bearcats | L | 44 - 77 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Y. Felder
|
G | 3 | 27.0 | 18.0 | 3.7 | 5.7 | 2.0 | 0.0 | 4.0 | 13.7 | 11.7 | - | - | - | 51.2 | 30.0 | 69.2 | - | 57.8 | 54.9 |
C. Kroll
|
G | 3 | 31.0 | 11.3 | 5.7 | 3.3 | 1.0 | 0.7 | 3.3 | 8.0 | 10.7 | - | - | - | 45.8 | 43.8 | 83.3 | - | 63.8 | 60.4 |
K. Hale
|
G | 3 | 17.0 | 7.0 | 1.3 | 0.7 | 1.7 | 0.0 | 1.3 | 5.0 | 4.3 | - | - | - | 53.3 | 33.3 | 80.0 | - | 61.0 | 56.7 |
J. McClure
|
G | 3 | 20.7 | 6.3 | 2.0 | 1.7 | 0.7 | 0.3 | 3.7 | 8.0 | -0.7 | - | - | - | 25.0 | 23.1 | 44.4 | - | 34.0 | 31.2 |
A. Garnett
|
F | 3 | 24.0 | 5.3 | 3.7 | 0.7 | 0.3 | 1.3 | 1.3 | 4.0 | 6.0 | - | - | - | 58.3 | 0.0 | 66.7 | - | 60.1 | 58.3 |
E. Pope
|
F | 3 | 27.3 | 5.3 | 5.3 | 1.0 | 1.3 | 0.7 | 2.7 | 8.0 | 3.0 | - | - | - | 29.2 | 14.3 | 0 | - | 33.3 | 33.3 |
A. Austin
|
F | 3 | 4.7 | 2.0 | 1.0 | 0.0 | 0.3 | 0.0 | 0.3 | 1.7 | 1.3 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
K. Dennis
|
G | 3 | 32.0 | 1.7 | 2.7 | 0.7 | 0.7 | 0.3 | 2.3 | 3.7 | 0.0 | - | - | - | 9.1 | 9.1 | 100.0 | - | 21.0 | 13.6 |
C. Lafler
|
F | 2 | 7.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 50.0 | - | 32.3 | 0.0 |
J. Hale
|
G | 1 | 15.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
K. Johnson
|
G | 3 | 6.7 | 0.0 | 1.3 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | 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