🐻⬇️🏀

UC Riverside

Season: 2026-2027 2025-2026 2024-2025 2023-2024 2022-2023 2021-2022 2020-2021 2019-2020 2018-2019 2017-2018
Also known as: UC Riverside Highlanders
Program History
Coach: Brad Langston

2026-2027 Team Stats (2 games)

56.5
PPG
82.5
Opp
-26.0
Margin
33.0%
FG%
30.0%
3P%
82.9%
FT%
29.5
RPG
10.5
APG
22.0
TO
-
Est. poss./game
57.6
Adj PPG
70.5
Adj Opp PPG
#331
Scoring Rank

Model Outputs

2026-2027
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. Preseason prior 740 (returning production + recruiting): last season 902, returning -81, transfers -81, freshmen +0 More → 715 (#333) Preseason prior 740 (returning production + recruiting): last season 902, returning -81, transfers -81, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +179 elo More → 808 (#331) HCA +179 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +178 elo More → 897 (#328) HCA +178 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -22.6 (#345) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.1 More → -22.2 (#345) HCA +3.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.054 (#314) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -26.8 More → 0.128 (#340) AdjNet -26.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -25.4 More → 0.131 (#337) AdjNet -25.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.6 | AdjD 70.5 More → 0.213 (#331) AdjO 57.6 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.6 | AdjD 70.5 More → 0.252 (#333) AdjO 57.6 | AdjD 70.5
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 → 0.159 (#339) 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 → 0.166 (#339) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 195 | GP 2 More → 789 (#329) RD 195 | GP 2
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More → 0.105 (#336) Chronological component blend with rest and venue.

2026-2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-03 vs Occidental Tigers W 83 - 40
2026-11-06 @ Seattle U Redhawks L 55 - 80
2026-11-08 @ Gonzaga Bulldogs L 58 - 85
2026-11-14 @ Wichita State Shockers - Preview
2026-11-18 vs Oregon State Beavers - Preview

2026-2027 Roster

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Taylor Swanson Taylor Swanson G 2 28.5 12.0 5.0 2.0 0.5 2.0 5.5 12.0 4.0 -6 3 -2.0 -3.0 37.5 25.0 71.4 -0.72 44.3 39.6
London Gamble London Gamble G 2 24.0 9.0 5.5 1.0 2.0 0.5 2.5 10.0 5.5 - - - - 35.0 22.2 100.0 - 43.1 40.0
Kaylani Polk Kaylani Polk G 2 30.5 8.0 4.0 3.0 1.5 1.0 5.0 9.0 3.5 -12 3 -4.0 -5.4 27.8 25.0 100.0 0.78 39.6 30.6
Harisa Mehmedovic Harisa Mehmedovic F 1 27.0 8.0 3.0 1.0 0.0 0.0 1.0 6.0 5.0 - - - - 33.3 0.0 100.0 - 51.5 33.3
Amy Pateman Amy Pateman G 2 22.0 8.0 1.5 1.5 2.0 0.0 3.0 5.5 4.5 - - - - 27.3 37.5 87.5 - 55.1 40.9
Kyori Lloyd Kyori Lloyd F 2 24.0 5.5 2.0 1.0 1.0 0.5 0.5 5.5 4.0 - - - - 27.3 50.0 75.0 - 43.1 36.4
Graecyn Parahi Graecyn Parahi G 2 25.0 5.5 4.0 1.0 0.5 0.0 1.0 4.5 5.5 - - - - 44.4 40.0 100.0 - 58.3 55.6
Alana White Alana White F 2 8.0 2.5 2.0 0.5 0.0 0.0 1.5 1.0 2.5 - - - - 100.0 0 50.0 - 86.8 100.0
Maria Mejia Maria Mejia G 2 6.0 1.5 0.0 0.0 0.0 0.0 0.5 1.5 -0.5 6 3 2.0 8.7 33.3 33.3 0 -3.19 50.0 50.0
Lucia Moreno Tallon Lucia Moreno Tallon F 2 10.0 0.5 1.0 0.0 0.0 1.0 0.5 1.5 0.5 - - - - 0.0 0.0 50.0 - 12.9 0.0
Aaliyah Stanton Aaliyah Stanton G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Celeste Mack Celeste Mack F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Morgan Mack Morgan Mack G 1 4.0 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
Dylan Tse Dylan Tse G 2 6.5 0.0 0.0 0.0 0.5 0.0 0.5 0.5 -0.5 - - - - 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

2026-2027 Shot Zones

109 located field-goal attempts in 2 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

White20% Swanson30% Swanson100% Swanson100% Gamble50% Pateman33% Pateman100% Mejia50% Lloyd50% Pateman25%
Points: who the team's points here most likely come from
Polk29% Swanson33% Gamble38% Swanson50% Polk27% Polk50% Pateman25% Gamble36% Pateman33% Pateman25%
Misses: who misses most here

Taylor SwansonLondon GambleKaylani PolkAmy PatemanKyori LloydAlana WhiteMaria Mejia

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 10-17 58.8 20 Alana White 20% (4 pts) Kaylani Polk 20% (4 pts) Kaylani Polk 29% (2 misses) Kyori Lloyd 29% (2 misses)
Paint (non-RA) 10-25 40.0 20 Taylor Swanson 30% (6 pts) Kaylani Polk 20% (4 pts) Taylor Swanson 33% (5 misses) Kaylani Polk 27% (4 misses)
Mid-range left 1-9 11.1 2 Taylor Swanson 100% (2 pts) - London Gamble 38% (3 misses) Lucia Moreno Tallon 25% (2 misses)
Mid-range center 1-5 20.0 2 Taylor Swanson 100% (2 pts) - Taylor Swanson 50% (2 misses) Kaylani Polk 25% (1 misses)
Mid-range right 2-13 15.4 4 London Gamble 50% (2 pts) Taylor Swanson 50% (2 pts) Kaylani Polk 27% (3 misses) Taylor Swanson 27% (3 misses)
Left corner 3 3-5 60.0 9 Amy Pateman 33% (3 pts) Graecyn Parahi 33% (3 pts) Kaylani Polk 50% (1 misses) Kyori Lloyd 50% (1 misses)
Right corner 3 1-5 20.0 3 Amy Pateman 100% (3 pts) - Amy Pateman 25% (1 misses) Kaylani Polk 25% (1 misses)
Above-break 3 left 2-13 15.4 6 Maria Mejia 50% (3 pts) Taylor Swanson 50% (3 pts) London Gamble 36% (4 misses) Graecyn Parahi 18% (2 misses)
Above-break 3 center 2-5 40.0 6 Kyori Lloyd 50% (3 pts) London Gamble 50% (3 pts) Amy Pateman 33% (1 misses) Kaylani Polk 33% (1 misses)
Above-break 3 right 4-12 33.3 12 Amy Pateman 25% (3 pts) Graecyn Parahi 25% (3 pts) Amy Pateman 25% (2 misses) London Gamble 25% (2 misses)