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West Virginia Mountaineers

Also known as: West Virginia Mountaineers
Program History

2026 Team Stats (33 games)

75.4
PPG
59.2
Opp
+16.2
Margin
45.7%
FG%
35.0%
3P%
71.4%
FT%
35.7
RPG
14.9
APG
15.2
TO
83.6
Pace
81.7
AdjO
51.6
AdjD
#13
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 β†’ 1338 (#15) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1410 (#9) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +113 elo More β†’ 1168 (#13) HCA +113 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More β†’ +30.5 (#14) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More β†’ +41.2 (#12) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.956 (#9) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +22.8 More β†’ 0.950 (#24) NetEff +22.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +43.9 More β†’ 0.994 (#15) AdjNet +43.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +44.8 More β†’ 0.995 (#15) AdjNet +44.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.7 | AdjD 51.6 More β†’ 0.940 (#13) AdjO 81.7 | AdjD 51.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.2 | AdjD 54.5 More β†’ 0.858 (#13) AdjO 74.2 | AdjD 54.5
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 β†’ 0.979 (#15) 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 β†’ 0.972 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 33 More β†’ 1381 (#11) RD 109 | GP 33

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Kent State Golden Flashes W 88 - 47
2025-11-11 vs Temple Owls W 89 - 61
2025-11-14 vs Duke Blue Devils W 57 - 49
2025-11-20 vs App State Mountaineers W 80 - 51
2025-11-24 vs McNeese Cowgirls W 83 - 63
2025-11-26 @ Ohio State Buckeyes L 81 - 83
2025-12-01 vs Villanova Wildcats L 59 - 81
2025-12-05 vs Mercyhurst Lakers W 97 - 51
2025-12-08 vs Texas Southern Tigers W 109 - 40
2025-12-11 vs Georgia Tech Yellow Jackets W 82 - 50
2025-12-14 @ Texas A&M Aggies W 63 - 45
2026-01-01 @ Kansas Jayhawks W 79 - 72
2026-01-04 @ Kansas State Wildcats W 60 - 58
2026-01-07 vs Texas Tech Lady Raiders L 66 - 71
2026-01-11 @ Iowa State Cyclones W 83 - 70
2026-01-14 vs TCU Horned Frogs L 50 - 51
2026-01-18 @ Cincinnati Bearcats W 84 - 76
2026-01-21 vs Arizona State Sun Devils W 53 - 43
2026-01-24 @ BYU Cougars W 91 - 77
2026-01-27 @ Utah Utes L 64 - 71
2026-02-01 vs Baylor Bears W 70 - 60
2026-02-04 @ Colorado Buffaloes W 61 - 55
2026-02-07 vs Arizona Wildcats W 87 - 68
2026-02-11 vs UCF Knights W 106 - 56
2026-02-15 @ TCU Horned Frogs L 50 - 59
2026-02-21 vs Oklahoma State Cowgirls W 72 - 40
2026-02-25 @ UCF Knights W 74 - 62
2026-03-01 vs Cincinnati Bearcats W 118 - 60
2026-03-06 vs Arizona State Sun Devils W 67 - 54
2026-03-07 vs Colorado Buffaloes W 48 - 47
2026-03-08 @ TCU Horned Frogs W 62 - 53
2026-03-21 vs Miami (OH) RedHawks W 82 - 54
2026-03-23 vs Kentucky Wildcats L 73 - 74

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%
G. Cooke G. Cooke G 33 30.3 15.2 1.9 1.5 0.9 0.0 2.1 12.2 5.2 45 2.0 2.7 37.6 33.3 76.5 -0.35 51.8 44.8
K. Wheeler K. Wheeler F 33 29.4 13.5 7.6 2.0 1.4 0.7 2.9 11.2 11.1 37 1.6 2.7 51.8 23.8 57.0 0.39 53.8 52.4
J. Harrison J. Harrison G 32 31.7 13.2 3.4 5.3 3.2 0.0 2.8 9.8 12.5 115 4.8 7.8 45.2 30.6 83.9 3.87 57.1 50.5
S. Shaw S. Shaw G 33 32.2 12.3 4.6 2.3 1.8 0.4 1.7 10.3 9.5 92 3.8 5.9 42.2 41.7 78.6 1.0 56.9 55.2
C. McCray C. McCray F 32 20.5 6.6 5.1 0.8 0.7 0.7 1.5 4.5 7.8 67 2.9 6.3 60.4 100.0 52.2 2.15 60.5 60.8
S. Woodley S. Woodley G 33 15.3 4.4 2.2 0.5 1.1 0.0 0.6 3.2 4.4 108 4.7 11.0 47.7 12.5 85.1 2.72 56.8 49.1
R. Makalusky R. Makalusky F 33 14.5 4.3 1.9 0.5 0.2 0.2 0.6 3.4 3.1 96 4.2 9.9 42.5 40.3 78.3 3.27 58.1 55.3
J. Thomas J. Thomas F 24 10.8 3.2 2.5 0.3 0.3 0.4 1.0 2.4 3.3 1 0.0 0.1 51.7 0.0 59.3 -1.03 54.4 51.7
C. Rivière C. Rivière F 32 13.3 2.9 2.6 1.4 0.5 0.1 0.9 2.5 4.1 - - - 50.6 0.0 52.2 - 51.6 50.6
L. Johnson L. Johnson G 22 7.7 1.4 0.7 0.4 0.7 0.0 0.6 1.0 1.5 54 3.0 12.6 42.9 40.0 71.4 0.64 55.2 47.6
M. Parrish M. Parrish G 14 4.0 1.1 0.6 0.4 0.3 0.1 0.6 1.5 0.4 32 2.9 31.9 28.6 15.4 50.0 0.98 35.1 33.3

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