UT Martin Skyhawks
2023 Team Stats (2 games)
58.0
PPG
67.5
Opp
-9.5
Margin
44.9%
FG%
24.2%
3P%
74.1%
FT%
20.5
RPG
7.0
APG
14.5
TO
69.4
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 → | 1063 (#153) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1040 (#205) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.5 (#242) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.466 (#196) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-12 | @ | South Dakota State Jackrabbits | L | 36 - 75 |
| 2023-02-06 | @ | Evansville Purple Aces | W | 80 - 60 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Littleford
|
G | 1 | 34.0 | 23.0 | 2.0 | 5.0 | 4.0 | 0.0 | 1.0 | 12.0 | 21.0 | - | - | - | 75.0 | 0 | 100.0 | - | 81.0 | 75.0 |
S. Currie-Jelks
|
F | 2 | 32.5 | 20.0 | 5.0 | 1.0 | 1.0 | 0.5 | 1.5 | 15.0 | 11.0 | - | - | - | 56.7 | 0.0 | 66.7 | - | 58.9 | 56.7 |
S. Robins
|
G | 1 | 33.0 | 6.0 | 2.0 | 3.0 | 2.0 | 0.0 | 7.0 | 7.0 | -1.0 | - | - | - | 28.6 | 40.0 | 0 | - | 42.9 | 42.9 |
D. Cannon
|
G | 2 | 19.5 | 6.0 | 1.5 | 0.0 | 2.0 | 0.0 | 0.5 | 3.0 | 6.0 | - | - | - | 66.7 | 0.0 | 100.0 | - | 77.3 | 66.7 |
P. Pipkin
|
G | 2 | 23.5 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | 0.0 | - | - | - | 30.0 | 28.6 | 66.7 | - | 44.2 | 40.0 |
L. Rubel
|
G | 1 | 34.0 | 5.0 | 3.0 | 0.0 | 2.0 | 0.0 | 1.0 | 3.0 | 6.0 | - | - | - | 66.7 | 0.0 | 50.0 | - | 64.4 | 66.7 |
J. Storey
|
G | 2 | 31.0 | 5.0 | 1.5 | 0.5 | 1.0 | 0.0 | 0.5 | 5.5 | 2.0 | - | - | - | 27.3 | 33.3 | 50.0 | - | 42.1 | 40.9 |
A. Brown
|
F | 2 | 24.0 | 4.0 | 3.5 | 0.5 | 1.0 | 0.0 | 2.5 | 6.5 | 0.0 | - | - | - | 23.1 | 25.0 | 50.0 | - | 28.8 | 26.9 |
E. Thompson
|
F | 1 | 21.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | -3.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
S. Boykin
|
G | 2 | 8.5 | 0.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.5 | 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