North Alabama Lions
2025 Team Stats (1 games)
48.0
PPG
85.0
Opp
-37.0
Margin
28.8%
FG%
38.9%
3P%
77.8%
FT%
32.0
RPG
11.0
APG
19.0
TO
82.0
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1048 (#126) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.8 (#247) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.499 (#217) | AdjO 64.5 | AdjD 64.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.660 (#217) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.634 (#211) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1048 (#176) | RD 152 | GP 27 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-19 | @ | Nebraska Cornhuskers | L | 48 - 85 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Klinge
|
F | 1 | 25.0 | 11.0 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 5.0 | 11.0 | -2 | -0.1 | -0.1 | 40.0 | 50.0 | 100.0 | 0.25 | 72.0 | 50.0 |
C. Gallegos
|
G | 1 | 22.0 | 10.0 | 0.0 | 3.0 | 3.0 | 0.0 | 2.0 | 10.0 | 4.0 | 6 | 0.3 | 1.7 | 40.0 | 33.3 | 0 | 0.16 | 50.0 | 50.0 |
S. West
|
G | 1 | 24.0 | 9.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 10.0 | 3.0 | -5 | -0.2 | -0.7 | 30.0 | 33.3 | 50.0 | -0.1 | 41.4 | 40.0 |
K. Criswell
|
G | 1 | 28.0 | 5.0 | 3.0 | 1.0 | 3.0 | 1.0 | 5.0 | 9.0 | -1.0 | 5 | 0.2 | 0.2 | 22.2 | 33.3 | 0 | 0.47 | 27.8 | 27.8 |
C. Jones
|
F | 1 | 22.0 | 4.0 | 9.0 | 0.0 | 0.0 | 2.0 | 2.0 | 7.0 | 6.0 | -22 | -1.2 | -2.6 | 28.6 | 0 | 0 | -0.07 | 28.6 | 28.6 |
I. Howard
|
F | 1 | 18.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | 0.0 | -2 | -0.1 | -0.1 | 40.0 | 0 | 0 | 0.17 | 40.0 | 40.0 |
E. Tittle
|
G | 1 | 11.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | -2.0 | 18 | 0.8 | 1.5 | 25.0 | 100.0 | 0 | 0.36 | 37.5 | 37.5 |
V. Charlton
|
G | 1 | 23.0 | 2.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 6.0 | -1.0 | -14 | -0.8 | -4.0 | 16.7 | 0 | 0.0 | -0.51 | 15.5 | 16.7 |
R. Pegues
|
G | 1 | 9.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | -12 | -0.8 | -3.0 | 0.0 | 0 | 0 | -0.37 | 0.0 | 0.0 |
A. Clutter
|
G | 1 | 9.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 11 | 0.5 | 0.8 | 0 | 0 | 0 | 0.33 | 0 | 0 |
S. Ceppellotti
|
F | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -3.0 | -40 | -1.5 | -6.6 | 0.0 | 0 | 0 | -0.48 | 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