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UC San Diego

Also known as: UC San Diego Tritons
Program History

2022 Team Stats (1 games)

55.0
PPG
71.3
Opp
-0.2
Margin
37.0%
FG%
25.0%
3P%
53.3%
FT%
34.0
RPG
13.0
APG
11.0
TO
71.6
Pace

Model Outputs

2021-2022
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 β†’ 1264 (#94) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1175 (#172) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More β†’ 951 (#552) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More β†’ +23.4 (#167) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More β†’ +3.7 (#296) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.6 More β†’ 0.448 (#141) NetEff -1.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 73.6 More β†’ 0.448 (#471) AdjO 71.3 | AdjD 73.6
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 β†’ 0.555 (#283) 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 β†’ 0.521 (#284) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 152 | GP 25 More β†’ 941 (#304) RD 152 | GP 25

2022 Schedule & Results

2022 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%
D. Walker D. Walker G 1 27.0 20.0 3.0 1.0 1.0 1.0 0.0 0.0 26.0 -51 -1.6 -2.4 0 0 0 0.77 0 0
T. Taylor T. Taylor - 2 31.5 15.0 7.0 1.0 0.5 0.0 3.0 8.5 12.0 -72 -2.7 -3.6 70.6 66.7 100.0 0.32 80.0 76.5
T. Rocak T. Rocak - 15 26.4 14.9 6.7 2.1 1.2 0.4 3.2 2.7 19.4 -12 -0.4 -0.7 36.6 33.3 76.2 0.01 222.9 39.0
B. Pope B. Pope - 24 29.2 13.3 2.4 1.3 0.6 0.2 1.0 2.2 14.5 -11 -0.4 -0.6 40.7 33.3 58.3 0.32 269.9 50.0
F. Nwaokorie F. Nwaokorie - 25 26.0 11.2 5.5 1.6 1.0 0.6 1.8 2.0 16.2 -43 -1.5 -2.3 53.1 53.3 88.2 0.05 247.9 61.2
R. Idehen R. Idehen F 1 15.0 11.0 6.0 1.0 1.0 1.0 2.0 0.0 18.0 93 3.4 9.0 0 0 0 0.54 0 0
J. Kosakowski J. Kosakowski - 24 18.6 9.6 1.5 0.5 0.4 0.1 0.8 1.4 9.9 -8 -0.3 -0.6 48.5 46.9 100.0 -0.25 339.4 71.2
C. Welp C. Welp F 1 25.0 9.0 4.0 4.0 1.0 0.0 2.0 0.0 16.0 46 1.8 2.7 0 0 0 0.41 0 0
J. Killingsworth J. Killingsworth G 7 33.6 6.1 3.1 2.4 0.9 0.1 1.1 3.1 8.4 -12 -0.4 -0.6 22.7 21.4 0 0.07 97.7 29.5
Jace Roquemore Jace Roquemore - 7 32.3 4.6 2.9 3.0 1.3 0.0 1.7 3.7 6.3 2 0.1 0.1 30.8 9.1 100.0 0.01 59.5 32.7
E. Tshimanga E. Tshimanga F 1 14.0 4.0 2.0 0.0 0.0 0.0 0.0 0.0 6.0 22 0.9 3.0 0 0 0 0.28 0 0
Kaden Rasheed Kaden Rasheed G 7 16.7 3.0 1.6 1.1 0.4 0.0 1.0 2.0 3.1 - - - 35.7 25.0 0 -0.49 75.0 42.9
Lunden Taylor Lunden Taylor G 2 5.0 3.0 0.5 0.0 0.0 0.0 0.0 0.0 3.5 -18 -1.2 -14.8 0 0 50.0 -0.02 340.9 0
R. Economou R. Economou G 1 16.0 3.0 1.0 0.0 0.0 0.0 0.0 3.0 1.0 63 4.8 16.2 33.3 50.0 0 0.46 50.0 50.0
J. Wall J. Wall F 1 2.0 3.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 15 3.0 17.7 100.0 100.0 0 0.25 150.0 150.0
M. Gray M. Gray F 12 9.5 3.0 1.5 0.8 0.2 0.4 0.5 0.3 5.0 -49 -1.7 -2.7 25.0 0 100.0 0.32 368.9 25.0
A. Sow A. Sow F 1 22.0 3.0 7.0 0.0 1.0 1.0 3.0 0.0 9.0 157 5.6 7.8 0 0 0 1.02 0 0
D. Esparza D. Esparza C 1 4.0 3.0 0.0 0.0 0.0 0.0 0.0 3.0 0.0 -61 -3.8 -20.9 33.3 33.3 0 -0.88 50.0 50.0
V. Vulikic V. Vulikic - 16 15.0 2.7 1.1 1.2 0.2 0.1 0.9 0.8 3.6 -81 -4.0 -11.3 23.1 12.5 100.0 -0.66 160.0 26.9
M. Pearson Jr. M. Pearson Jr. - 20 9.4 2.7 0.8 0.9 0.7 0.0 0.3 0.7 4.2 -219 -6.8 -8.6 23.1 40.0 100.0 0.92 182.9 30.8
K. Colvin K. Colvin F 2 20.0 2.5 1.5 0.0 0.5 0.5 0.5 4.0 0.5 -78 -3.2 -6.1 25.0 20.0 0 -0.21 31.2 31.2
S. TourΓ© S. TourΓ© G 1 16.0 2.0 2.0 3.0 1.0 0.0 0.0 0.0 8.0 61 2.2 7.8 0 0 0 0.64 0 0
J. DeGraaf J. DeGraaf - 12 8.3 1.6 1.2 0.4 0.1 0.1 0.5 0.4 2.4 8 0.7 3.1 40.0 0.0 42.9 0.16 117.6 40.0
J. Pratt J. Pratt - 3 6.7 1.3 1.0 0.0 0.3 0.0 0.3 0.3 2.0 5 0.7 4.5 100.0 0 0 0.02 200.0 100.0
M. Vail M. Vail F 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 15 0.9 5.5 0 0 0 0.17 0 0
J. Schoemann J. Schoemann F 1 4.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 15 1.9 11.1 0 0 0 0.33 0 0
I. Lee I. Lee G 1 13.0 0.0 3.0 0.0 0.0 0.0 1.0 0.0 2.0 95 3.8 8.7 0 0 0 1.27 0 0
J. Prevodnik J. Prevodnik - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 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