UNC Asheville
2026 Team Stats (29 games)
73.5
PPG
72.4
Opp
+1.1
Margin
46.1%
FG%
34.9%
3P%
68.1%
FT%
34.9
RPG
10.7
APG
12.0
TO
77.8
Pace
68.7
AdjO
73.6
AdjD
#232
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 → | 946 (#220) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 873 (#276) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1022 (#144) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 992 (#485) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.2 (#238) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.1 (#233) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -24.0 (#646) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.411 (#229) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.893 (#48) | NetEff +21.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.312 (#242) | AdjNet -6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.310 (#240) | AdjNet -6.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.391 (#232) | AdjO 68.7 | AdjD 73.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.547 (#184) | AdjO 71.4 | AdjD 69.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.418 (#580) | AdjO 72.8 | AdjD 76.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.673 (#235) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.183 (#592) | 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 → | 0.650 (#228) | 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 → | 0.221 (#596) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1015 (#225) | RD 150 | GP 29 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 823 (#645) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kameron Taylor
|
G | 29 | 34.5 | 19.0 | 4.8 | 3.0 | 0.9 | 0.7 | 2.5 | 14.0 | 11.9 | 58 | 2.4 | 4.0 | 46.3 | 28.6 | 70.6 | 0.12 | 55.8 | 50.5 |
J. Wright
|
- | 29 | 32.4 | 16.9 | 3.0 | 2.9 | 1.1 | 0.1 | 2.3 | 12.1 | 9.5 | 76 | 3.3 | 5.4 | 48.0 | 37.8 | 80.0 | 0.25 | 59.5 | 54.0 |
Toyaz Solomon
|
F | 29 | 33.1 | 16.5 | 7.5 | 2.0 | 1.0 | 1.3 | 2.1 | 13.2 | 13.0 | 74 | 3.0 | 5.6 | 45.8 | 32.9 | 66.4 | 0.14 | 53.1 | 49.2 |
C. Dubsky
|
G | 1 | 13.0 | 15.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 9.0 | 7.0 | - | - | - | 55.6 | 55.6 | 0 | - | 83.3 | 83.3 |
DJ Patrick
|
- | 26 | 33.4 | 9.7 | 4.0 | 0.7 | 1.0 | 0.3 | 1.0 | 7.9 | 6.8 | 67 | 3.4 | 5.1 | 40.0 | 39.9 | 68.6 | 0.51 | 56.9 | 55.4 |
Myles Mayfield
|
- | 29 | 23.1 | 4.6 | 4.3 | 0.7 | 0.4 | 0.3 | 1.2 | 3.0 | 6.1 | 60 | 2.6 | 5.8 | 62.5 | 66.7 | 40.7 | -0.24 | 59.9 | 63.6 |
J. Powell
|
- | 9 | 13.8 | 3.6 | 1.7 | 0.7 | 0.4 | 0.1 | 0.3 | 3.4 | 2.7 | 95 | 4.5 | 12.6 | 29.0 | 28.0 | 77.8 | 0.69 | 45.8 | 40.3 |
Hugo Maton
|
- | 2 | 3.5 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.5 | 3.0 | - | - | - | 66.7 | 66.7 | 0 | - | 100.0 | 100.0 |
D. Thomas
|
- | 28 | 20.9 | 2.9 | 5.1 | 0.5 | 0.5 | 0.4 | 0.9 | 2.5 | 6.1 | 20 | 1.7 | 15.9 | 46.4 | 0.0 | 51.5 | 0.25 | 48.5 | 46.4 |
Julian Clarke
|
PG | 23 | 10.7 | 2.0 | 0.7 | 0.4 | 0.3 | 0.0 | 0.6 | 1.4 | 1.4 | -51 | -2.4 | -14.3 | 42.4 | 41.4 | 55.6 | -0.93 | 60.9 | 60.6 |
S. Tolentino
|
F | 26 | 8.8 | 1.1 | 1.6 | 0.2 | 0.2 | 0.5 | 0.3 | 0.7 | 2.6 | -18 | -0.9 | -5.2 | 55.6 | 0.0 | 80.0 | -0.59 | 62.5 | 55.6 |
R. Brown
|
- | 3 | 3.3 | 1.0 | 0.3 | 0.0 | 0.3 | 0.0 | 0.3 | 2.7 | -1.3 | - | - | - | 12.5 | 12.5 | 0 | - | 18.8 | 18.8 |
Corey Jones
|
G | 16 | 8.2 | 0.8 | 0.2 | 0.4 | 0.1 | 0.1 | 0.2 | 1.1 | 0.4 | -18 | -1.4 | -12.5 | 29.4 | 15.4 | 0.0 | 0.14 | 34.4 | 35.3 |
David Hermes
|
F | 6 | 10.2 | 0.7 | 1.2 | 0.2 | 0.2 | 0.0 | 0.3 | 0.3 | 1.5 | -4 | -0.4 | -2.7 | 50.0 | 0 | 100.0 | 0.0 | 69.4 | 50.0 |
M. Taylor
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -66 | -3.0 | -15.2 | - | - | - | -0.91 | - | - |
Brayden Rivers
|
SF | 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