UNC Asheville Bulldogs
2026 Team Stats (25 games)
63.3
PPG
59.2
Opp
+4.1
Margin
38.4%
FG%
27.8%
3P%
61.9%
FT%
43.0
RPG
13.0
APG
21.0
TO
89.3
Pace
52.3
AdjO
69.2
AdjD
#325
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 → | 883 (#255) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 738 (#324) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 985 (#428) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -18.0 (#325) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.5 (#312) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.258 (#255) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.231 (#252) | NetEff -8.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.045 (#325) | AdjNet -26.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.042 (#324) | AdjNet -27.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.177 (#325) | AdjO 52.3 | AdjD 69.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.470 (#282) | AdjO 58.8 | AdjD 60.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.544 (#277) | 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 → | 0.524 (#267) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 955 (#241) | RD 157 | GP 25 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Green
|
G | 25 | 31.9 | 16.2 | 8.0 | 2.3 | 1.5 | 1.1 | 3.6 | 13.6 | 11.9 | 76 | 3.2 | 4.2 | 48.7 | 0.0 | 54.3 | 0.14 | 50.7 | 48.7 |
J. Freeman
|
G | 24 | 29.6 | 10.0 | 4.1 | 3.8 | 2.0 | 0.3 | 4.9 | 10.6 | 4.7 | 108 | 4.5 | 7.5 | 32.5 | 23.8 | 61.5 | 4.43 | 40.8 | 36.3 |
J. McDaniel
|
G | 24 | 29.6 | 9.3 | 7.3 | 2.1 | 1.5 | 0.9 | 2.5 | 8.5 | 10.0 | 0 | 0.0 | 0.0 | 41.5 | 28.9 | 64.3 | -3.46 | 49.9 | 47.8 |
A. Marquez
|
G | 25 | 22.5 | 7.1 | 2.0 | 0.8 | 0.9 | 0.2 | 1.8 | 8.4 | 0.7 | 45 | 1.9 | 3.3 | 27.5 | 26.6 | 63.0 | -0.58 | 39.9 | 38.2 |
D. Maxey
|
G | 23 | 24.0 | 5.4 | 1.8 | 1.8 | 0.9 | 0.0 | 1.8 | 5.3 | 2.8 | 21 | 1.0 | 2.0 | 32.0 | 29.0 | 60.9 | -1.86 | 43.6 | 39.3 |
K. McMillan
|
F | 23 | 14.1 | 5.2 | 2.9 | 0.2 | 0.3 | 0.1 | 1.1 | 3.5 | 4.2 | 17 | 0.8 | 2.4 | 42.0 | 56.2 | 78.2 | -0.98 | 57.0 | 47.5 |
D. Orianegbena
|
F | 25 | 23.1 | 4.7 | 7.6 | 0.9 | 0.6 | 0.3 | 1.7 | 4.5 | 7.8 | 43 | 1.8 | 3.5 | 43.4 | 0 | 66.7 | 0.71 | 46.8 | 43.4 |
K. Gipson
|
C | 5 | 9.4 | 3.8 | 1.8 | 0.2 | 0.4 | 0.8 | 1.8 | 3.0 | 2.2 | 33 | 3.3 | 17.1 | 46.7 | 0 | 71.4 | 0.76 | 52.5 | 46.7 |
J. Koerdt
|
G | 18 | 10.1 | 2.9 | 1.3 | 0.2 | 0.2 | 0.0 | 0.5 | 3.0 | 1.1 | -4 | -0.2 | -0.9 | 35.2 | 31.6 | 37.5 | -5.93 | 46.1 | 46.3 |
C. Odom
|
F | 14 | 8.9 | 2.0 | 1.4 | 0.1 | 0.3 | 0.2 | 1.6 | 1.9 | 0.6 | -13 | -0.8 | -2.9 | 42.3 | 0 | 42.9 | -2.27 | 43.5 | 42.3 |
S. Yarnell
|
F | 12 | 11.2 | 1.9 | 3.2 | 0.6 | 0.8 | 0.5 | 0.9 | 2.5 | 3.6 | 33 | 2.4 | 11.6 | 30.0 | 10.0 | 100.0 | -0.66 | 36.2 | 31.7 |
T. Fields
|
G | 19 | 9.6 | 1.5 | 1.2 | 0.9 | 0.6 | 0.0 | 0.6 | 1.1 | 2.5 | 37 | 1.9 | 8.5 | 23.8 | 23.1 | 75.0 | -0.68 | 47.0 | 31.0 |
T. Council
|
F | 19 | 6.6 | 1.2 | 0.9 | 0.4 | 0.3 | 0.3 | 0.4 | 1.0 | 1.6 | -41 | -2.0 | -10.1 | 42.1 | 50.0 | 55.6 | -6.48 | 47.9 | 44.7 |
Jazlyn Ware
|
F | 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