🐻⬇️🏀

Concord

Also known as: Concord
Program History

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 → 1183 (#7) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1109 (#100) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 992 (#330) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +9.6 (#107) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +3.7 (#264) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.703 (#215) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.4 More → 0.533 (#249) NetEff +1.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.5 More → 0.825 (#218) AdjNet +13.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.9 More → 0.779 (#251) AdjNet +10.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.7 | AdjD 75.7 More → 0.694 (#236) AdjO 84.7 | AdjD 75.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.9 | AdjD 80.9 More → 0.499 (#300) AdjO 80.9 | AdjD 80.9
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 → 0.583 (#248) 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 → 0.558 (#270) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 92 | GP 22 More → 1024 (#202) RD 92 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Indiana (PA) L 74 - 93
2025-11-15 vs Pitt.-Johnstown L 75 - 79
2025-11-19 vs Bluefield St. W 61 - 50
2025-11-22 vs California (PA) W 81 - 79
2025-11-24 vs Virginia Union L 58 - 65
2025-12-03 @ West Virginia St. W 97 - 76
2025-12-06 vs Charleston (WV) W 82 - 78
2025-12-10 vs Frostburg St. W 97 - 83
2025-12-17 @ Point Park W 78 - 61
2025-12-20 @ Fairmont St. W 95 - 87
2025-12-29 @ Akron L 64 - 115
2026-01-03 vs Salem (WV) W 101 - 75
2026-01-07 @ West Va. Wesleyan W 97 - 62
2026-01-10 vs Davis & Elkins L 83 - 85
2026-01-14 @ Wheeling W 108 - 100
2026-01-17 vs West Liberty L 70 - 102
2026-01-21 @ Charleston (WV) L 91 - 102
2026-01-23 vs Glenville St. L 100 - 112
2026-01-31 @ Frostburg St. L 61 - 94
2026-02-02 @ Bluefield St. L 77 - 83
2026-02-04 @ Salem (WV) W 97 - 94
2026-02-07 vs Point Park L 76 - 82

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%
Kraig Gilbert - 15 30.2 15.6 4.9 1.5 0.6 1.7 1.4 10.7 12.3 46 3.3 30.3 54.4 47.5 68.8 1.29 67.2 66.2
Micah Young - 21 23.5 15.0 3.4 2.0 0.9 0.3 1.6 12.1 7.8 -53 -2.6 -14.4 44.3 36.1 87.9 2.48 55.3 50.2
Boubacar Djigo - 20 30.2 14.9 12.9 0.9 0.5 1.1 1.4 10.3 18.6 25 1.4 8.5 57.0 28.6 66.2 2.07 63.1 61.4
Anfernee Hanna - 22 27.7 13.9 3.0 1.4 0.7 0.4 1.8 9.8 7.7 -9 -0.5 -2.0 45.8 29.6 81.4 -1.14 57.6 49.5
Josiah Rickards - 21 25.8 9.9 3.0 2.1 0.9 0.1 1.3 8.7 6.0 12 0.6 3.2 35.2 29.6 81.2 -0.87 49.0 41.8
Brendan Hoffman - 14 18.6 7.4 2.1 1.2 1.3 0.1 1.5 4.7 5.9 11 0.8 6.2 39.4 40.0 79.5 0.69 60.3 51.5
Khamani Wertz - 16 25.7 6.1 2.4 3.3 0.5 0.0 1.5 5.6 5.2 -31 -2.2 -21.5 32.6 34.4 77.3 -0.77 49.1 44.9
Savier McCall - 21 11.6 4.3 2.3 0.6 0.3 0.0 0.9 3.7 3.0 -6 -0.3 -2.3 46.2 29.4 82.4 -2.22 53.2 49.4
Eldon Terry - 22 11.4 2.9 3.3 0.3 0.5 1.4 1.0 2.2 5.3 18 0.9 7.5 50.0 30.8 100.0 -0.41 62.1 58.3
Cole Lambert - 20 13.8 2.1 1.0 1.4 0.3 0.0 0.9 3.0 0.9 -7 -0.4 -3.8 27.1 21.1 60.0 -1.93 33.1 30.5
John Gabbert - 18 8.1 1.9 1.0 0.8 0.2 0.0 1.0 2.2 0.8 10 0.6 6.7 23.1 25.0 84.6 1.22 39.1 30.8
Riley Clevenger - 11 4.0 0.9 0.5 0.3 0.1 0.0 0.4 0.8 0.5 -21 -2.6 -86.4 33.3 50.0 50.0 -0.87 50.6 50.0
Sam Boothe - 14 2.0 0.6 0.4 0.1 0.1 0.0 0.1 0.6 0.6 -23 -2.1 -76.1 25.0 33.3 75.0 -1.18 46.1 37.5
Corey Shumate - 13 2.1 0.5 0.7 0.0 0.0 0.0 0.0 0.5 0.7 -18 -1.6 -50.9 42.9 0.0 33.3 -0.7 42.1 42.9
Brandon Isaac - 14 1.9 0.3 0.4 0.0 0.0 0.0 0.4 0.4 -0.1 -10 -1.7 -41.2 40.0 0.0 0 -0.87 40.0 40.0
John Rose III - 2 1.4 0.0 0.5 0.0 0.0 0.0 0.5 1.0 -1.0 -62 -4.8 -33.4 0.0 0.0 0 0.37 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