🐻⬇️🏀

Stanford Cardinal

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Stanford Cardinal
Program History

2013 Team Stats (30 games)

70.5
PPG
51.2
Opp
+19.3
Margin
45.2%
FG%
31.0%
3P%
72.4%
FT%
38.0
RPG
14.2
APG
11.6
TO
-
Est. poss./game
73.3
Adj PPG
45.5
Adj Opp PPG
#6
Scoring Rank

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 → 1574 (#5) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1501 (#4) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +72 elo More → 1209 (#7) HCA +72 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +29.7 (#6) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +25.8 (#8) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.971 (#8) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +47.4 More → 0.996 (#5) AdjNet +47.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +48.0 More → 0.996 (#5) AdjNet +48.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.3 | AdjD 45.5 More → 0.926 (#6) AdjO 73.3 | AdjD 45.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.5 | AdjD 50.8 More → 0.845 (#6) AdjO 69.5 | AdjD 50.8
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 → 0.956 (#5) 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 → 0.948 (#5) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 36 More → 1434 (#5) RD 114 | GP 36

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Fresno State Bulldogs W 72 - 61
2012-11-11 @ Santa Clara Broncos W 92 - 57
2012-11-16 vs Baylor Bears W 71 - 69
2012-11-17 @ Hawai'i Rainbow Wahine W 69 - 42
2012-11-18 vs UT Martin Skyhawks W 93 - 67
2012-11-25 vs Long Beach State Beach W 77 - 41
2012-11-30 @ UC Davis Aggies W 87 - 38
2012-12-02 @ Gonzaga Bulldogs W 69 - 41
2012-12-15 vs Pacific Tigers W 78 - 43
2012-12-19 @ South Carolina Gamecocks W 53 - 49
2012-12-22 @ Tennessee Lady Volunteers W 73 - 60
2012-12-29 vs UConn Huskies L 35 - 61
2013-01-04 @ Colorado Buffaloes W 57 - 40
2013-01-06 @ Utah Utes W 70 - 56
2013-01-08 @ California Golden Bears W 62 - 53
2013-01-13 vs California Golden Bears L 55 - 67
2013-01-18 vs UCLA Bruins W 75 - 49
2013-01-20 vs USC Trojans W 75 - 66
2013-01-25 vs Utah Utes W 65 - 44
2013-01-27 vs Colorado Buffaloes W 69 - 56
2013-02-01 @ Oregon Ducks W 86 - 62
2013-02-03 @ Oregon State Beavers W 65 - 45
2013-02-08 vs Arizona Wildcats W 73 - 43
2013-02-10 vs Arizona State Sun Devils W 69 - 45
2013-02-15 @ USC Trojans W 79 - 55
2013-02-17 @ UCLA Bruins W 68 - 57
2013-02-22 vs Oregon State Beavers W 90 - 53
2013-02-24 vs Oregon Ducks W 74 - 50
2013-02-28 @ Washington Huskies W 71 - 36
2013-03-02 @ Washington State Cougars W 72 - 50
2013-03-08 vs Washington State Cougars W 79 - 60
2013-03-09 vs Colorado Buffaloes W 61 - 47
2013-03-10 vs UCLA Bruins W 51 - 49
2013-03-24 vs Tulsa Golden Hurricane W 72 - 56
2013-03-26 vs Michigan Wolverines W 73 - 40
2013-03-30 vs Georgia Lady Bulldogs L 59 - 61

2013 Roster

Minutes by Position

Not enough player minute data to plot.

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%
C. Ogwumike C. Ogwumike F 30 0.0 23.2 12.7 1.6 1.4 1.7 2.2 15.2 23.2 511 29 17.6 21.8 60.1 0.0 80.4 6.78 64.8 60.1
J. Tinkle J. Tinkle NA 30 0.0 11.7 6.1 1.6 1.0 2.0 1.2 10.7 10.6 462 29 15.9 21.4 46.2 31.5 70.0 3.96 52.7 51.6
A. Orrange A. Orrange G 29 0.0 10.6 3.4 4.1 1.4 0.2 2.6 9.5 7.7 426 29 14.7 20.7 45.3 39.0 80.0 3.1 51.3 48.2
T. Kokenis T. Kokenis G 16 0.0 7.4 2.2 2.2 1.0 0.2 1.9 7.4 3.6 198 17 11.6 18.5 33.6 31.4 73.0 4.37 43.6 38.2
S. James S. James G 18 0.0 5.5 2.1 1.4 0.3 0.1 1.0 6.2 2.2 265 27 9.8 26.1 31.2 28.4 72.7 3.47 42.4 40.6
M. Ruef M. Ruef F 23 0.0 4.4 7.6 2.1 0.5 0.7 1.6 4.2 9.5 290 29 10.0 18.7 38.5 10.0 51.9 1.9 42.9 39.1
E. Payne E. Payne F 1 0.0 4.0 3.0 1.0 1.0 1.0 1.0 2.0 7.0 38 23 1.7 15.1 100.0 0 0 -0.03 100.0 100.0
J. Okrzesik J. Okrzesik G 1 0.0 4.0 0.0 3.0 1.0 0.0 0.0 6.0 2.0 126 28 4.5 20.7 33.3 0.0 0 3.32 33.3 33.3
T. Greenfield T. Greenfield F 2 0.0 2.5 4.0 0.5 0.0 0.5 0.0 3.0 4.5 182 29 6.3 15.0 16.7 25.0 100.0 -0.81 36.3 25.0

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