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UNC Asheville

Also known as: UNC Asheville Bulldogs
Program History

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
Catalog

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. HCA +109 elo More → 1022 (#144) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 992 (#485) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -5.2 (#238) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +10.1 (#233) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 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. NetEff +21.0 More → 0.893 (#48) NetEff +21.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.9 More → 0.312 (#242) AdjNet -6.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.9 More → 0.310 (#240) AdjNet -6.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.7 | AdjD 73.6 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. AdjO 71.4 | AdjD 69.3 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. AdjO 72.8 | AdjD 76.5 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 150 | GP 29 More → 1015 (#225) RD 150 | GP 29
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 M. Taylor G 0 - 0.0 0.0 0.0 - - - - - -66 -3.0 -15.2 - - - -0.91 - -
Brayden Rivers 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