🐻⬇️🏀

UNC Asheville

Also known as: UNC Asheville Bulldogs
Program History

2022 Team Stats (1 games)

53.0
PPG
69.6
Opp
+6.1
Margin
26.5%
FG%
18.9%
3P%
71.4%
FT%
29.0
RPG
8.0
APG
7.0
TO
81.2
Pace

Model Outputs

2021-2022
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 → 983 (#338) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1179 (#165) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 991 (#444) HCA +115 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 974 (#512) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +20.7 (#217) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +9.7 (#212) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -22.6 (#593) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -27.3 More → 0.029 (#316) NetEff -27.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.7 | AdjD 69.8 More → 0.587 (#142) AdjO 73.7 | AdjD 69.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 69.6 More → 0.413 (#546) AdjO 65.7 | AdjD 69.6
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 → 0.667 (#214) 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 → 0.114 (#613) 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 → 0.641 (#209) 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 → 0.149 (#620) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 160 | GP 27 More → 935 (#316) RD 160 | GP 27
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 2 More → 887 (#501) RD 350 | GP 2

2022 Schedule & Results

2022 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%
Drew Pember Drew Pember - 26 26.7 15.3 6.4 1.4 0.7 2.6 1.7 1.3 23.3 - - - 33.3 7.7 87.5 1.14 544.9 34.8
T. Jones T. Jones - 27 33.1 12.6 5.9 0.8 0.8 0.4 1.2 1.7 17.5 51 1.6 2.0 42.6 32.3 62.5 0.47 336.5 53.2
C. Jude C. Jude F 4 26.0 12.5 1.2 1.5 1.0 0.2 0.5 8.2 7.8 123 3.8 6.7 42.4 40.0 66.7 0.84 70.1 60.6
J. Bailey J. Bailey G 1 31.0 12.0 2.0 1.0 2.0 0.0 2.0 8.0 7.0 -45 -1.6 -2.3 50.0 50.0 0 0.46 75.0 75.0
LJ Thorpe LJ Thorpe F 4 15.8 8.5 2.0 3.5 0.8 0.0 2.5 5.0 7.2 - - - 35.0 0.0 76.9 0.7 66.1 35.0
Jamon Battle Jamon Battle - 27 26.9 8.3 4.0 1.0 0.6 0.4 1.3 1.0 12.2 -12 -0.6 -3.9 57.7 60.0 66.7 0.16 343.6 63.5
A. Price A. Price G 1 23.0 8.0 1.0 0.0 0.0 0.0 1.0 0.0 8.0 - - - 0 0 0 0.41 0 0
Q. Kimble Q. Kimble G 4 17.2 7.2 2.8 1.0 1.0 0.2 0.0 3.5 8.8 130 4.6 13.4 64.3 66.7 100.0 1.25 94.6 92.9
L. Lawson L. Lawson F 4 18.5 7.2 4.8 1.0 0.2 1.0 0.5 5.5 8.2 45 2.6 8.8 40.9 27.8 75.0 0.14 61.0 52.3
Trent Stephney Trent Stephney - 27 30.4 6.8 3.1 3.4 1.7 0.2 1.9 1.1 12.3 - - - 35.5 0.0 40.0 -0.15 277.1 35.5
D. King D. King G 1 8.0 6.0 2.0 1.0 0.0 0.0 0.0 0.0 9.0 138 4.2 6.9 0 0 0 0.95 0 0
D. Sealy D. Sealy G 1 27.0 5.0 1.0 4.0 0.0 0.0 5.0 4.0 1.0 - - - 25.0 50.0 100.0 -0.53 51.2 37.5
M. Sembly M. Sembly G 1 22.0 5.0 1.0 2.0 0.0 0.0 0.0 8.0 0.0 - - - 25.0 14.3 0 -0.55 31.2 31.2
Jordan Hairston Jordan Hairston - 5 12.4 4.6 1.8 1.0 0.2 0.0 0.6 3.8 3.2 69 5.8 20.9 42.1 38.5 50.0 0.44 55.4 55.3
S. Mason S. Mason - 24 15.4 4.5 1.5 0.4 0.4 0.2 0.6 0.4 6.0 56 2.0 5.3 70.0 0 33.3 0.06 353.4 70.0
H. Cassell H. Cassell - 1 11.0 3.0 3.0 0.0 0.0 0.0 1.0 4.0 1.0 - - - 25.0 0 100.0 - 33.8 25.0
J. Hall J. Hall - 1 4.0 3.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -48 -1.8 -4.8 50.0 0.0 100.0 -0.08 61.5 50.0
I. Clay I. Clay G 1 28.0 2.0 3.0 1.0 0.0 0.0 3.0 7.0 -4.0 - - - 14.3 0.0 0 -1.48 14.3 14.3
M. Williams M. Williams F 1 31.0 2.0 0.0 1.0 1.0 0.0 2.0 8.0 -6.0 -83 -9.2 -51.1 12.5 0 0 1.13 12.5 12.5
S. White S. White F 1 6.0 2.0 1.0 0.0 0.0 0.0 0.0 4.0 -1.0 - - - 25.0 0.0 0 - 25.0 25.0
G. Sutherland G. Sutherland F 1 3.0 2.0 1.0 0.0 0.0 0.0 1.0 1.0 1.0 - - - 100.0 0 0 - 100.0 100.0
D. Dixon D. Dixon - 1 8.0 2.0 2.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 0 0 -0.21 50.0 50.0
M. Peters M. Peters - 1 21.0 1.0 1.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 0.0 0.0 20.0 - 11.9 0.0
C. Forte C. Forte G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Kawa M. Kawa G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Luke Bleynat Luke Bleynat F 1 11.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0 0.0 - 0.0 0.0
BJ Marable BJ Marable - 1 6.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 -6 -0.2 -1.0 0 0 0 -0.17 0 0
A. Caldwell A. Caldwell G 1 9.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 -24 -1.0 -2.8 0 0 0 0.13 0 0
S. Keita S. Keita F 1 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 -20 -2.9 -11.3 0 0 0 -0.32 0 0
Marcel Mauge Marcel Mauge G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
R. Smith R. Smith C 1 8.0 0.0 3.0 1.0 0.0 0.0 1.0 4.0 -1.0 -121 -4.0 -5.6 0.0 0.0 0 0.71 0.0 0.0
T. Wright T. Wright - 1 3.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 -106 -3.7 -7.5 0 0 0 0.14 0 0
S. Quattlebaum S. Quattlebaum - 1 8.0 0.0 2.0 0.0 0.0 0.0 0.0 3.0 -1.0 - - - 0.0 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