🐻⬇️🏀

USC Upstate

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: USC Upstate
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 → 1019 (#220) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1022 (#250) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1000 (#387) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -3.5 (#418) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.971 (#137) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.0 More → 0.613 (#346) AdjNet +4.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.8 More → 0.612 (#357) AdjNet +3.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.9 | AdjD 59.8 More → 0.526 (#384) AdjO 60.9 | AdjD 59.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.3 | AdjD 62.8 More → 0.511 (#333) AdjO 63.3 | AdjD 62.8
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 → 0.497 (#358) 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 → 0.501 (#350) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 vs Erskine W 76 - 54

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%
Aubrie Kierscht - 1 15.6 16.0 2.0 0.0 0.0 0.0 1.0 12.0 5.0 - - - 41.7 55.6 50.0 - 62.1 62.5
Cassie Gallagher - 1 23.1 14.0 8.0 1.0 1.0 1.0 1.0 10.0 14.0 - - - 60.0 50.0 0.0 - 64.3 70.0
Vera Söderblom - 1 18.3 14.0 9.0 3.0 0.0 0.0 3.0 9.0 14.0 - - - 66.7 0 100.0 - 70.9 66.7
Madison Miller - 1 12.4 8.0 1.0 0.0 0.0 1.0 2.0 5.0 3.0 166 8.3 39.1 40.0 66.7 100.0 0.68 68.0 60.0
Gwen Jenkins - 1 18.9 7.0 7.0 7.0 1.0 0.0 3.0 4.0 15.0 - - - 75.0 50.0 0 - 87.5 87.5
Aijah Palmore - 1 11.9 5.0 7.0 1.0 0.0 1.0 3.0 3.0 8.0 - - - 33.3 0 75.0 - 52.5 33.3
Lexi Castator - 1 19.0 4.0 6.0 1.0 0.0 1.0 0.0 6.0 6.0 - - - 33.3 0.0 0 - 33.3 33.3
Jessa Troy - 1 5.1 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 0.0 0.0 100.0 - 34.7 0.0
Gracie Barnes - 1 6.9 2.0 1.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 0.0 0.0 100.0 - 53.2 0.0
Kinley Paterson - 1 18.2 2.0 1.0 2.0 1.0 1.0 4.0 4.0 -1.0 - - - 25.0 0 0.0 - 20.5 25.0
Zora Fray-Chinn - 1 14.9 2.0 3.0 2.0 1.0 0.0 1.0 3.0 4.0 - - - 33.3 0.0 0 - 33.3 33.3
Emma Blair - 1 9.3 0.0 2.0 2.0 0.0 1.0 1.0 3.0 1.0 - - - 0.0 0 0.0 - 0.0 0.0
Macy Wike - 1 13.4 0.0 3.0 1.0 1.0 1.0 2.0 1.0 3.0 - - - 0.0 0.0 0 - 0.0 0.0
Zoe Richardson - 1 13.2 0.0 5.0 1.0 1.0 2.0 1.0 5.0 3.0 - - - 0.0 0 0 - 0.0 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