UAB Blazers
2026 Team Stats (32 games)
79.2
PPG
73.8
Opp
+5.4
Margin
44.3%
FG%
28.1%
3P%
70.5%
FT%
39.9
RPG
14.3
APG
8.9
TO
83.7
Pace
76.2
AdjO
72.4
AdjD
#114
Rank
Model Outputs
2025-2026
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 → | 1094 (#104) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1043 (#133) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1008 (#174) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.4 (#122) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.8 (#120) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.637 (#90) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.121 (#302) | NetEff -17.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.645 (#115) | AdjNet +5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.648 (#115) | AdjNet +5.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.586 (#114) | AdjO 76.2 | AdjD 72.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.571 (#150) | AdjO 74.8 | AdjD 71.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.815 (#113) | 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 → | 0.777 (#116) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1123 (#113) | RD 129 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Westry
|
- | 32 | 30.5 | 15.5 | 3.8 | 5.6 | 1.3 | 0.5 | 1.9 | 10.8 | 13.9 | 138 | 6.0 | 9.1 | 48.7 | 24.1 | 70.8 | 1.23 | 57.4 | 51.7 |
J. Meyer
|
G | 28 | 28.5 | 12.4 | 3.8 | 1.1 | 0.9 | 0.1 | 1.1 | 11.4 | 5.6 | 52 | 2.5 | 4.0 | 40.9 | 31.4 | 80.3 | -0.07 | 49.7 | 45.9 |
D. Rivera
|
- | 32 | 29.3 | 12.0 | 6.7 | 1.2 | 0.8 | 1.0 | 1.2 | 8.9 | 11.6 | 81 | 3.5 | 5.6 | 54.4 | 33.3 | 58.1 | 0.06 | 56.7 | 54.9 |
K. Lindsay-Martin
|
F | 28 | 22.6 | 10.8 | 6.4 | 0.5 | 0.5 | 0.9 | 1.0 | 7.9 | 10.1 | 110 | 5.0 | 9.2 | 53.6 | 50.0 | 75.9 | 0.92 | 58.4 | 53.8 |
A. Robinson
|
G | 26 | 24.1 | 9.5 | 2.3 | 2.8 | 1.5 | 0.0 | 1.2 | 8.7 | 6.2 | -26 | -1.2 | -6.9 | 37.6 | 33.3 | 71.2 | -0.23 | 48.8 | 45.1 |
Evan Chatman
|
- | 32 | 28.9 | 8.8 | 8.8 | 1.1 | 0.8 | 0.8 | 0.6 | 6.8 | 12.9 | 60 | 2.6 | 4.0 | 43.3 | 27.5 | 68.6 | 0.07 | 53.5 | 48.4 |
Dayjaun Anderson
|
- | 30 | 16.3 | 5.4 | 1.7 | 0.7 | 0.9 | 0.0 | 0.5 | 5.9 | 2.3 | 74 | 3.5 | 12.8 | 33.9 | 24.1 | 52.9 | 0.29 | 43.6 | 42.9 |
Salim London
|
- | 32 | 19.6 | 4.9 | 2.2 | 1.6 | 0.8 | 0.2 | 0.7 | 4.5 | 4.5 | 87 | 3.8 | 8.9 | 34.7 | 29.5 | 84.4 | 0.31 | 47.6 | 41.0 |
Q. McPherson
|
- | 27 | 10.8 | 4.4 | 1.6 | 0.5 | 0.4 | 0.0 | 0.9 | 3.2 | 2.9 | 2 | 0.1 | 0.5 | 44.2 | 30.0 | 77.5 | -0.12 | 57.4 | 51.2 |
Ari Gooch
|
- | 17 | 8.4 | 2.2 | 1.3 | 0.6 | 0.9 | 0.1 | 0.4 | 1.9 | 2.7 | 32 | 2.5 | 10.6 | 34.4 | 15.4 | 68.4 | 0.05 | 45.8 | 37.5 |
J. Das Chagas
|
- | 3 | 4.7 | 0.7 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 1.7 | 0.7 | 7 | 3.5 | 19.9 | 20.0 | 0 | 0 | 0.03 | 20.0 | 20.0 |
Lance Carr
|
- | 7 | 2.4 | 0.7 | 0.4 | 0.0 | 0.0 | 0.3 | 0.0 | 0.3 | 1.1 | 23 | 3.8 | 96.7 | 100.0 | 0 | 50.0 | 0.18 | 86.8 | 100.0 |
J. Kahn
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Jorden Pittman
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Justin Holloway
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 124 | 5.9 | 19.6 | - | - | - | 1.06 | - | - |
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