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UC Davis

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: UC Davis
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1022 (#228) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 992 (#329) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +9.1 (#169) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.976 (#86) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +28.8 More → 0.966 (#61) AdjNet +28.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +28.8 More → 0.968 (#60) AdjNet +28.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.2 | AdjD 65.2 More → 0.881 (#60) AdjO 87.2 | AdjD 65.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.7 | AdjD 74.9 More → 0.586 (#166) AdjO 78.7 | AdjD 74.9
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 → 0.684 (#152) 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 → 0.657 (#175) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1080 (#143) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-06 vs Jessup W 86 - 51

2024 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%
Elijah Pepper - 1 27.0 21.0 6.0 1.0 6.0 0.0 1.0 13.0 20.0 - - - 38.5 33.3 100.0 - 63.6 50.0
Ade Adebayo - 1 19.0 14.0 6.0 2.0 1.0 2.0 2.0 5.0 18.0 - - - 80.0 100.0 100.0 - 97.2 90.0
Francesco Borra - 1 16.0 12.0 2.0 1.0 0.0 0.0 6.0 7.0 2.0 - - - 71.4 0.0 100.0 - 76.1 71.4
Ty Johnson - 1 14.0 7.0 1.0 1.0 0.0 0.0 2.0 3.0 4.0 40 2.5 16.8 66.7 0.0 60.0 1.47 67.3 66.7
Pablo Tamba - 1 18.0 7.0 7.0 2.0 1.0 0.0 3.0 4.0 10.0 - - - 50.0 0.0 60.0 - 56.5 50.0
Drew Carter - 1 4.0 6.0 0.0 0.0 0.0 0.0 0.0 2.0 4.0 - - - 100.0 100.0 0 - 150.0 150.0
Leo DeBruhl - 1 19.0 5.0 2.0 7.0 2.0 1.0 3.0 4.0 10.0 - - - 50.0 0.0 50.0 - 51.2 50.0
Kane Milling - 1 24.0 4.0 0.0 0.0 2.0 1.0 0.0 9.0 -2.0 - - - 11.1 0.0 100.0 - 20.2 11.1
Niko Rocak - 1 13.0 4.0 7.0 0.0 0.0 1.0 2.0 4.0 6.0 - - - 50.0 0 0 - 50.0 50.0
Sione Lose - 1 15.0 3.0 4.0 2.0 0.0 0.0 1.0 1.0 7.0 - - - 100.0 100.0 0 - 150.0 150.0
Connor Sevilla - 1 17.0 2.0 1.0 1.0 1.0 0.0 1.0 5.0 -1.0 - - - 20.0 0.0 0 - 20.0 20.0
Sam Manu - 1 13.0 1.0 4.0 0.0 1.0 1.0 1.0 3.0 3.0 - - - 0.0 0.0 50.0 - 12.9 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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