North Alabama Lions
2022 Team Stats (2 games)
54.5
PPG
80.5
Opp
-26.0
Margin
35.8%
FG%
32.6%
3P%
73.9%
FT%
32.5
RPG
12.0
APG
18.0
TO
77.6
Pace
Model Outputs
2021-2022
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 → | 951 (#291) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1004 (#235) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.9 (#286) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.293 (#248) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-11 | @ | Kentucky Wildcats | L | 56 - 98 |
| 2022-02-09 | @ | Florida Gulf Coast Eagles | L | 53 - 63 |
2022 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. Gill
|
G | 1 | 35.0 | 13.0 | 5.0 | 4.0 | 2.0 | 4.0 | 3.0 | 15.0 | 10.0 | -31 | -1.8 | -12.0 | 40.0 | 33.3 | 0 | 0.28 | 43.3 | 43.3 |
M. Lee
|
F | 2 | 31.0 | 11.5 | 7.5 | 0.5 | 0.5 | 0.0 | 2.5 | 10.0 | 7.5 | -63 | -3.9 | -21.1 | 40.0 | 42.9 | 80.0 | 0.71 | 51.8 | 47.5 |
A. Callins
|
G | 2 | 29.5 | 10.5 | 1.5 | 2.0 | 1.0 | 0.5 | 3.0 | 9.0 | 3.5 | -82 | -4.6 | -27.5 | 38.9 | 36.4 | 100.0 | 0.43 | 54.3 | 50.0 |
C. Bridges
|
G | 1 | 31.0 | 9.0 | 1.0 | 2.0 | 0.0 | 0.0 | 4.0 | 8.0 | 0.0 | - | - | - | 50.0 | 33.3 | 0 | -0.18 | 56.2 | 56.2 |
P. Jaworska
|
G | 2 | 30.5 | 8.5 | 6.0 | 4.0 | 1.5 | 0.0 | 2.5 | 5.5 | 12.0 | - | - | - | 45.5 | 40.0 | 71.4 | 0.33 | 60.4 | 54.5 |
H. Suzuki
|
G | 2 | 28.5 | 6.5 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 7.5 | 2.0 | - | - | - | 33.3 | 50.0 | 50.0 | 0.44 | 38.8 | 36.7 |
J. Moore
|
G | 2 | 19.5 | 4.0 | 2.0 | 1.0 | 0.5 | 0.0 | 2.5 | 6.0 | -1.0 | -29 | -1.5 | -18.7 | 25.0 | 25.0 | 0 | 0.95 | 33.3 | 33.3 |
R. Hune
|
G | 1 | 10.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | -28 | -2.3 | -14.5 | 20.0 | 0.0 | 100.0 | 0.34 | 34.0 | 20.0 |
O. Jones
|
G | 2 | 7.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | -55 | -3.2 | -16.6 | 0 | 0 | 50.0 | 0.43 | 56.8 | 0 |
J. Sion
|
F | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 35 | 11.7 | 68.9 | 0 | 0 | 0 | -0.17 | 0 | 0 |
J. Strachan
|
G | 2 | 13.5 | 0.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.5 | 2.5 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | 0.1 | 0.0 | 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