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UC Riverside

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: UC Riverside Highlanders
Program History
Coach: Jim Wooldridge

2013 Team Stats (1 games)

89.0
PPG
66.5
Opp
-7.5
Margin
52.9%
FG%
25.0%
3P%
55.6%
FT%
48.0
RPG
12.0
APG
21.0
TO
98.9
Pace

Model Outputs

2012-2013
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 → 1199 (#222) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1195 (#231) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 810 (#587) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +18.1 (#271) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -4.4 (#378) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.023 (#118) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -37.3 More → 0.011 (#118) AdjNet -37.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -38.7 More → 0.009 (#118) AdjNet -38.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.0 | AdjD 63.5 More → 0.337 (#563) AdjO 56.0 | AdjD 63.5
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 → 0.302 (#439) 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 → 0.284 (#476) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 31 More → 766 (#571) RD 150 | GP 31

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ DePaul Blue Demons L 59 - 91
2012-11-11 @ UIC Flames L 52 - 59
2012-11-14 vs Fresno State Bulldogs L 30 - 39
2012-11-17 vs Whitman Missionaries W 89 - 76
2012-11-21 @ Northeastern Huskies L 52 - 61
2012-11-23 @ Alaska Anchorage Seawolves L 65 - 66
2012-11-24 @ Texas State Bobcats L 69 - 81
2012-12-01 vs Northern Colorado Bears W 69 - 63
2012-12-05 @ Pepperdine Waves L 40 - 62
2012-12-15 @ USC Trojans L 26 - 70
2012-12-18 vs Whittier Poets W 91 - 62
2012-12-22 vs Air Force Falcons L 53 - 61
2012-12-29 vs Cal Poly Mustangs L 48 - 58
2013-01-03 @ Cal State Northridge Matadors W 65 - 64
2013-01-05 @ Hawai'i Rainbow Warriors L 61 - 76
2013-01-12 @ Cal State Fullerton Titans L 69 - 71
2013-01-17 vs Long Beach State Beach L 82 - 91
2013-01-19 vs UC Irvine Anteaters W 68 - 58
2013-01-24 @ Pacific Tigers L 58 - 63
2013-01-26 @ UC Davis Aggies L 72 - 79
2013-01-31 vs Hawai'i Rainbow Warriors L 68 - 72
2013-02-02 vs Cal State Northridge Matadors L 53 - 69
2013-02-09 vs Cal State Fullerton Titans L 67 - 79
2013-02-13 @ UC Irvine Anteaters L 48 - 52
2013-02-16 @ Long Beach State Beach L 35 - 75
2013-02-20 vs UC Santa Barbara Gauchos W 54 - 45
2013-02-23 @ Portland State Vikings L 58 - 66
2013-02-28 vs UC Davis Aggies L 52 - 59
2013-03-02 vs Pacific Tigers L 68 - 70
2013-03-07 @ Cal Poly Mustangs L 62 - 68
2013-03-09 @ UC Santa Barbara Gauchos L 46 - 56

2013 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%
C. Patton C. Patton F 30 28.0 13.5 5.4 1.5 0.6 0.5 2.8 1.1 17.7 -152 -5.1 -8.0 45.5 0 40.0 -0.58 576.7 45.5
C. Harriel C. Harriel F 29 27.8 10.6 3.5 1.8 1.3 0.5 1.6 1.2 15.0 -81 -2.8 -4.4 48.6 33.3 50.0 0.33 382.3 58.6
J. Fox J. Fox F 28 26.8 9.3 6.5 1.3 0.3 0.4 2.0 1.5 14.4 -95 -3.4 -5.6 53.7 50.0 57.1 -0.09 296.1 56.1
T. Johns T. Johns F 24 20.9 6.9 4.6 0.7 0.8 1.1 1.5 0.5 12.0 -81 -3.4 -6.4 16.7 0 100.0 -0.2 599.6 16.7
R. Smith R. Smith G 30 32.4 6.4 3.5 3.1 1.1 0.0 2.7 1.2 10.3 40 3.1 20.8 31.4 38.9 50.0 2.05 269.0 41.4
D. Guinn D. Guinn F 20 18.7 4.4 3.3 0.4 0.4 0.1 1.2 0.6 6.8 -50 -2.5 -5.2 36.4 0.0 0.0 -0.39 384.6 36.4
A. Quick A. Quick G 31 19.1 4.1 1.6 1.6 0.8 0.0 1.5 0.3 6.5 -156 -5.0 -10.9 10.0 0.0 50.0 -0.9 544.2 10.0
D. Boddie D. Boddie G 15 14.0 4.1 1.8 1.1 0.9 0.1 1.3 0.9 5.7 -74 -4.9 -12.1 28.6 25.0 0 -0.54 217.9 32.1
S. Jones S. Jones G 27 13.4 2.7 1.1 1.1 0.4 0.1 0.7 0.4 4.2 216 6.4 14.1 45.5 37.5 0.0 1.16 314.7 59.1
T. Owens T. Owens F 23 9.3 2.4 0.8 0.3 0.2 0.0 0.2 0.4 3.3 -6 -0.4 -1.6 11.1 11.1 0 0.05 311.1 16.7
T. Johnson T. Johnson G 18 7.2 1.9 0.5 0.5 0.3 0.2 0.7 0.6 2.0 139 4.1 5.9 63.6 0.0 100.0 0.56 133.2 63.6
L. Devenny L. Devenny F 30 14.9 1.8 3.8 0.6 0.2 0.3 0.6 0.2 5.9 -76 -2.6 -6.0 33.3 0 25.0 -0.31 341.5 33.3
T. Burke T. Burke F 5 5.6 0.8 1.4 0.0 0.0 0.4 1.0 0.4 1.2 -27 -5.4 -22.9 100.0 0 0.0 2.18 82.0 100.0

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