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UC Clermont

Season: 2026 2025 2024 2023 2017 2016
Also known as: UC Clermont
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1055 (#159) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.6 (#309) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.500 (#467) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.3 More → 0.279 (#470) AdjNet -8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.3 More → 0.274 (#467) AdjNet -8.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 35.4 | AdjD 41.8 More → 0.357 (#481) AdjO 35.4 | AdjD 41.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.3 | AdjD 71.0 More → 0.595 (#224) AdjO 75.3 | AdjD 71.0
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 → 0.572 (#338) 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 → 0.583 (#332) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 138 | GP 19 More → 1141 (#112) RD 138 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs La Verne W 105 - 73
2025-11-03 @ San Francisco L 53 - 98
2025-11-07 vs Redlands L 88 - 102
2025-11-09 vs Pacific Lutheran W 87 - 75
2025-11-15 @ UChicago L 64 - 82
2025-11-16 vs Emory L 78 - 96
2025-11-21 @ Claremont-M-S L 69 - 79
2025-11-22 @ Caltech W 82 - 66
2025-11-24 vs Willamette W 87 - 61
2025-12-06 @ George Fox W 97 - 67
2025-12-07 @ Lewis & Clark W 95 - 85
2025-12-14 @ Whittier L 73 - 75
2025-12-15 @ Chapman L 73 - 81
2025-12-17 @ Pomona-Pitzer W 67 - 58
2025-12-21 @ Southern California L 63 - 102
2025-12-27 @ Puget Sound W 62 - 58
2025-12-28 @ Pacific Lutheran W 77 - 70
2026-01-10 @ Pomona-Pitzer W 66 - 62
2026-01-12 @ Cal Maritime W 88 - 81
2026-01-17 @ Simpson (CA) W 78 - 64

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%
Leo Beath - 1 24.6 24.0 6.0 1.0 3.0 0.0 0.0 14.0 20.0 - - - 64.3 50.0 62.5 - 68.5 67.9
Andrew Ferrara-Jones - 6 32.4 15.7 1.8 1.5 1.0 0.0 2.3 12.5 5.2 -15 -7.5 -10.2 42.7 29.7 82.6 -0.66 55.2 50.0
Joe Espy - 19 26.7 15.6 8.1 2.0 0.3 0.6 2.1 10.7 13.8 -93 -5.2 -54.2 57.4 17.6 55.1 0.06 58.9 58.1
Tom Beattie - 1 24.6 15.0 4.0 1.0 0.0 0.0 2.0 6.0 12.0 - - - 66.7 66.7 62.5 - 78.8 83.3
Alex Chaikin - 1 16.3 13.0 2.0 0.0 1.0 0.0 2.0 7.0 7.0 - - - 57.1 40.0 100.0 - 78.1 71.4
Hudson Mayes - 1 12.8 12.0 8.0 2.0 2.0 0.0 1.0 7.0 16.0 - - - 71.4 0 100.0 - 76.1 71.4
Leo Wagner - 19 21.1 11.9 4.4 1.5 0.3 0.3 1.8 7.2 9.5 -86 -5.4 -73.4 55.9 46.0 84.9 -1.02 70.9 66.5
Bol Dengdit - 1 21.8 10.0 9.0 1.0 0.0 0.0 2.0 6.0 12.0 - - - 33.3 33.3 83.3 - 57.9 41.7
Caden Breznikar - 15 27.6 9.6 6.7 3.6 1.5 0.5 2.8 8.9 10.1 -43 -3.6 -33.2 40.6 23.5 69.6 -0.94 47.0 42.1
Ben Lim - 17 23.3 8.6 4.5 1.1 0.5 0.6 1.0 7.1 7.2 -76 -5.4 -37.0 48.3 24.4 66.7 0.43 54.8 52.5
Thomas Conley - 19 24.4 8.0 3.4 1.1 0.4 0.3 1.3 5.6 6.3 -109 -6.8 -77.8 43.9 40.4 79.5 -2.27 60.1 54.7
Aidan Burke - 1 21.9 8.0 1.0 4.0 1.0 1.0 1.0 5.0 9.0 - - - 40.0 50.0 100.0 - 68.0 60.0
Hunter Kennedy - 15 19.8 7.6 2.6 2.8 0.9 0.1 1.7 6.4 5.9 -74 -5.3 -80.3 41.7 38.6 70.6 -2.05 55.1 53.1
Emanuel Prospere II - 1 21.0 7.0 5.0 4.0 2.0 0.0 1.0 3.0 14.0 - - - 66.7 0 100.0 - 81.0 66.7
Ryder Elisaldez - 1 13.6 6.0 1.0 2.0 2.0 0.0 0.0 3.0 8.0 - - - 33.3 0.0 100.0 - 63.0 33.3
Cade Pendleton - 1 7.7 6.0 5.0 0.0 0.0 0.0 0.0 3.0 8.0 - - - 66.7 66.7 0 - 100.0 100.0
Miles Burrows - 19 17.4 4.4 1.6 1.2 0.4 0.1 1.4 4.1 2.1 -27 -1.6 -20.1 34.6 28.0 83.3 -2.35 48.3 43.6
Jaden Gamez - 13 13.6 4.4 1.2 0.6 0.1 0.1 0.4 4.3 1.6 4 0.3 20.8 37.5 34.4 100.0 -1.08 49.3 47.3
Jaden Vance - 1 16.1 4.0 3.0 0.0 2.0 1.0 1.0 6.0 3.0 - - - 33.3 0.0 0.0 - 29.1 33.3
Aidan Carleson - 19 16.7 3.9 2.1 1.1 0.8 0.2 0.8 3.0 4.3 -98 -5.4 -117.6 49.1 36.8 80.0 -3.34 59.0 55.3
Ollie Miller - 2 9.1 3.0 1.0 0.5 0.0 0.0 0.5 1.0 3.0 -6 -3.0 -20.4 100.0 100.0 0 -1.08 150.0 150.0
Elijah Brookes - 12 11.9 1.8 1.0 0.7 0.2 0.1 0.6 1.7 1.6 -6 -0.5 -55.4 45.0 40.0 0.0 0.68 53.8 55.0
Darren Naruse - 7 4.3 1.6 0.4 0.6 0.1 0.0 0.0 0.9 1.9 -1 -0.2 -6.8 50.0 0 83.3 -0.56 63.7 50.0
Teni Salako - 8 3.8 0.6 1.1 0.2 0.0 0.2 0.8 0.6 0.9 -7 -1.4 -31.6 20.0 0 50.0 -0.45 32.7 20.0
Christopher Cox - 1 1.9 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Trap Johnson - 1 13.0 0.0 2.0 0.0 0.0 0.0 0.0 2.0 0.0 38 2.1 22.9 0.0 0.0 0 0.21 0.0 0.0
Dimitrije Vukicevic - 1 4.7 0.0 1.0 1.0 0.0 0.0 2.0 1.0 -1.0 - - - 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