🐻⬇️🏀

Cal State Fullerton

Also known as: Cal State Fullerton Titans
Program History

2022 Team Stats (2 games)

70.0
PPG
66.9
Opp
+3.0
Margin
41.0%
FG%
38.5%
3P%
67.4%
FT%
42.5
RPG
11.0
APG
12.5
TO
80.5
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 → 990 (#303) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1159 (#189) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 1108 (#53) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +20.1 (#227) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +11.5 (#180) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.3 More → 0.754 (#49) NetEff +9.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.3 | AdjD 65.0 More → 0.575 (#154) AdjO 68.3 | AdjD 65.0
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 → 0.772 (#141) 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 → 0.747 (#137) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 31 More → 1155 (#102) RD 111 | GP 31

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%
E.J. Anosike E.J. Anosike F 29 33.2 16.5 8.7 1.9 0.8 0.3 1.9 3.9 22.3 - - - 64.9 33.3 73.9 1.67 165.6 65.4
T. Pulliam T. Pulliam G 1 37.0 15.0 7.0 3.0 4.0 1.0 5.0 0.0 25.0 189 6.1 8.2 0 0 0 1.31 0 0
D. Walker D. Walker G 1 23.0 14.0 2.0 0.0 0.0 0.0 1.0 0.0 15.0 -51 -1.6 -2.4 0 0 0 0.77 0 0
C. Welp C. Welp F 2 31.0 13.5 4.5 2.0 0.0 0.0 2.0 0.0 18.0 46 1.8 2.7 0 0 0 0.41 0 0
D. Milstead D. Milstead G 29 31.5 12.7 3.2 3.1 2.1 0.1 2.0 4.2 15.0 139 4.3 5.8 41.0 46.0 69.7 1.17 134.4 50.4
C. Simmons C. Simmons G 1 28.0 11.0 3.0 1.0 0.0 1.0 0.0 0.0 16.0 -47 -2.1 -6.4 0 0 0 -0.07 0 0
T. Taylor T. Taylor - 1 39.0 10.0 8.0 4.0 3.0 0.0 4.0 0.0 21.0 -72 -2.7 -3.6 0 0 0 0.32 0 0
T. Maddox Jr. T. Maddox Jr. - 27 25.3 9.6 2.6 2.0 1.2 0.1 1.7 3.2 10.6 -64 -2.1 -3.4 41.9 35.6 76.0 2.36 133.5 51.2
J. Harris J. Harris - 27 19.0 9.4 1.0 1.0 0.8 0.1 1.4 2.1 8.8 -84 -14.0 -31.3 39.3 37.5 94.1 1.02 200.1 44.6
A. Sow A. Sow F 2 25.5 9.0 7.0 1.0 1.0 0.5 1.5 4.0 13.0 157 5.6 7.8 62.5 0 100.0 1.02 106.6 62.5
R. Idehen R. Idehen F 2 19.0 8.5 4.0 0.5 0.5 0.5 1.5 1.5 11.0 93 3.4 9.0 100.0 0 66.7 0.54 196.8 100.0
Vincent Lee Vincent Lee - 31 27.6 7.9 6.2 0.6 0.5 0.4 1.4 2.4 11.8 25 0.8 1.2 46.6 0.0 67.9 0.06 143.6 46.6
L. Wrightsell Jr. L. Wrightsell Jr. G 30 27.2 6.8 2.8 1.7 0.8 0.1 1.4 2.4 8.4 -219 -7.3 -8.5 35.6 27.3 84.2 0.22 125.4 41.8
Maddox Jr., Dante Maddox Jr., Dante G 21 19.0 6.6 2.7 1.0 1.0 0.1 1.2 1.3 8.8 - - - 50.0 20.0 72.7 - 211.6 53.6
Kaden Rasheed Kaden Rasheed G 2 19.5 5.0 1.5 2.5 0.5 0.0 0.5 2.0 7.0 - - - 75.0 50.0 0 -0.49 125.0 87.5
C. Baker-Mazara C. Baker-Mazara - 1 12.0 5.0 3.0 2.0 0.0 0.0 1.0 0.0 9.0 86 2.8 8.4 0 0 0 0.7 0 0
T. San Antonio T. San Antonio - 23 22.3 3.6 3.7 1.1 0.7 0.5 0.9 0.8 8.0 150 5.4 10.3 50.0 40.0 58.3 1.57 178.3 61.1
I. Lee I. Lee G 2 17.0 3.5 1.0 3.0 2.0 0.5 1.0 0.0 9.0 95 3.8 8.7 0 0 0 1.27 0 0
S. Touré S. Touré G 2 11.5 2.5 1.5 1.0 0.0 0.0 0.5 1.0 3.5 61 2.2 7.8 0.0 0.0 0 0.64 125.0 0.0
Grayson Carper Grayson Carper - 8 3.8 2.2 0.6 0.0 0.2 0.1 0.4 0.5 2.4 -3 -0.3 -2.6 50.0 33.3 0 -0.13 225.0 62.5
C. Ba C. Ba G 1 10.0 2.0 0.0 1.0 0.0 0.0 1.0 0.0 2.0 -53 -4.4 -12.6 0 0 0 -0.99 0 0
C. McGill C. McGill F 1 9.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 -9 -0.5 -2.1 0 0 0 -0.31 0 0
L. Laku L. Laku - 12 4.0 1.0 0.6 0.0 0.0 0.2 0.2 0.3 1.2 11 0.6 3.6 50.0 0 100.0 0.09 123.0 50.0
I. Doumbia I. Doumbia F 15 4.6 0.5 0.9 0.1 0.1 0.2 0.1 0.1 1.6 -49 -2.1 -12.8 100.0 0 0.0 -0.96 138.9 100.0
J. Schoemann J. Schoemann F 1 5.0 0.0 2.0 0.0 1.0 0.0 0.0 0.0 3.0 15 1.9 11.1 0 0 0 0.33 0 0
A. Murphy A. Murphy F 2 9.5 0.0 2.0 0.0 0.0 0.5 0.0 0.0 2.5 -3 -0.1 -0.4 0 0 0 -0.41 0 0
K. Dinwiddie Jr. K. Dinwiddie Jr. - 1 4.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 -48 -1.5 -2.6 0 0 0 1.09 0 0
M. Gally M. Gally - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
C. Carter C. Carter - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 62 2.3 10.2 0 0 0 0.63 0 0
L. Spivey L. Spivey G 2 5.0 0.0 0.0 0.0 0.5 0.0 1.0 0.5 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
M. Dhal M. Dhal - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -17 -1.3 -14.1 0 0 0 -0.1 0 0
T. Warner T. Warner - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
D. Nixon D. Nixon - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 0.12 0.0 0.0
J. Prevodnik J. Prevodnik - 1 2.0 0.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 - - - 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