North Alabama Lions
2026 Team Stats (27 games)
64.9
PPG
64.8
Opp
+0.1
Margin
40.8%
FG%
28.3%
3P%
67.8%
FT%
39.1
RPG
14.2
APG
16.1
TO
82.9
Pace
Model Outputs
2025-2026
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 |
2026 Schedule & Results
2026 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. Alvarado
|
G | 27 | 31.5 | 14.9 | 3.8 | 3.5 | 1.2 | 0.3 | 3.0 | 12.5 | 8.3 | 24 | 1.2 | 1.9 | 40.4 | 30.5 | 77.5 | 4.59 | 52.6 | 47.9 |
S. Ceppellotti
|
F | 24 | 35.1 | 11.9 | 5.0 | 1.3 | 0.7 | 0.5 | 2.2 | 10.3 | 6.9 | 7 | 0.4 | 0.6 | 42.7 | 28.9 | 75.9 | 2.54 | 52.6 | 49.4 |
I. Howard
|
F | 27 | 20.1 | 8.7 | 5.6 | 1.2 | 0.7 | 1.1 | 1.5 | 6.3 | 9.5 | -28 | -1.3 | -3.8 | 60.6 | 100.0 | 66.7 | 1.19 | 62.3 | 60.9 |
K. Criswell
|
G | 27 | 31.9 | 8.6 | 2.8 | 1.6 | 0.6 | 0.6 | 1.3 | 10.1 | 2.9 | -28 | -1.3 | -2.3 | 35.3 | 34.4 | 46.7 | -1.69 | 41.5 | 41.2 |
G. Jackson
|
G | 27 | 28.1 | 8.2 | 6.9 | 1.6 | 1.0 | 0.1 | 1.9 | 8.1 | 7.8 | -36 | -1.7 | -3.3 | 38.5 | 27.5 | 61.4 | -1.27 | 45.7 | 42.9 |
C. McNamara
|
F | 4 | 14.2 | 7.2 | 3.5 | 0.0 | 0.2 | 0.2 | 1.5 | 5.5 | 4.2 | 19 | 2.7 | 6.7 | 45.5 | 0.0 | 90.0 | -0.2 | 54.9 | 45.5 |
A. Clutter
|
G | 8 | 20.1 | 5.1 | 2.6 | 1.5 | 0.6 | 0.1 | 1.5 | 4.9 | 3.6 | -32 | -2.9 | -7.3 | 33.3 | 42.9 | 52.2 | -2.0 | 41.7 | 37.2 |
B. Akinsola
|
G | 10 | 22.0 | 4.9 | 3.0 | 3.0 | 1.0 | 0.2 | 2.4 | 8.5 | 1.2 | 36 | 3.3 | 6.3 | 22.4 | 9.5 | 90.0 | 1.58 | 27.4 | 23.5 |
J. Klinge
|
F | 27 | 22.0 | 4.7 | 5.9 | 1.7 | 0.9 | 0.6 | 1.6 | 3.3 | 8.9 | 4 | 0.2 | 0.4 | 56.2 | 0.0 | 57.4 | -1.62 | 57.9 | 56.2 |
V. Ulander
|
F | 26 | 10.2 | 2.8 | 1.8 | 0.7 | 0.2 | 0.0 | 0.7 | 2.6 | 2.2 | 33 | 1.8 | 6.3 | 38.8 | 25.7 | 64.7 | 0.4 | 48.3 | 45.5 |
B. Hallman
|
G | 9 | 5.2 | 2.3 | 0.2 | 0.3 | 0.2 | 0.0 | 0.6 | 2.1 | 0.4 | -1 | -0.1 | -1.7 | 47.4 | 30.0 | 0 | -0.86 | 55.3 | 55.3 |
G. Ramon
|
G | 27 | 12.1 | 1.3 | 0.8 | 1.0 | 0.4 | 0.2 | 1.7 | 2.3 | -0.3 | -38 | -1.9 | -5.4 | 20.6 | 9.7 | 50.0 | -1.29 | 26.0 | 23.0 |
E. Tittle
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Sofia Gaidukova
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Mak Golden
|
C | 0 | - | 0.0 | 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