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Stanford Cardinal

Also known as: Stanford Cardinal
Program History

2012 Team Stats (27 games)

75.7
PPG
56.3
Opp
+19.4
Margin
45.0%
FG%
31.8%
3P%
74.9%
FT%
39.2
RPG
16.4
APG
0.0
TO
-
Est. poss./game
79.3
Adj PPG
47.1
Adj Opp PPG
#4
Scoring Rank

Model Outputs

2011-2012
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 โ†’ 1641 (#3) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1536 (#2) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +78 elo More โ†’ 1293 (#2) HCA +78 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +34.4 (#4) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +34.1 (#4) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.975 (#4) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +52.7 More โ†’ 0.998 (#4) AdjNet +52.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +53.7 More โ†’ 0.998 (#4) AdjNet +53.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.3 | AdjD 47.1 More โ†’ 0.949 (#4) AdjO 79.3 | AdjD 47.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.5 | AdjD 49.6 More โ†’ 0.906 (#4) AdjO 74.5 | AdjD 49.6
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 โ†’ 0.976 (#4) 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 โ†’ 0.972 (#4) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 93 | GP 37 More โ†’ 1499 (#3) RD 93 | GP 37

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-11 @ Texas Longhorns W 72 - 59
2011-11-13 vs Gonzaga Bulldogs W 76 - 61
2011-11-17 vs Old Dominion Monarchs W 97 - 48
2011-11-21 @ UConn Huskies L 58 - 68
2011-11-25 @ Xavier Musketeers W 80 - 64
2011-11-30 vs UC Davis Aggies W 93 - 44
2011-12-04 @ Fresno State Bulldogs W 93 - 59
2011-12-17 vs Princeton Tigers W 85 - 66
2011-12-20 vs Tennessee Lady Volunteers W 97 - 80
2011-12-22 vs Cal State Bakersfield Roadrunners W 90 - 48
2011-12-29 @ USC Trojans W 61 - 53
2011-12-31 @ UCLA Bruins W 77 - 50
2012-01-05 vs Oregon Ducks W 93 - 70
2012-01-07 vs Oregon State Beavers W 67 - 60
2012-01-12 @ Utah Utes W 62 - 43
2012-01-14 @ Colorado Buffaloes W 80 - 54
2012-01-19 vs Washington State Cougars W 75 - 41
2012-01-21 vs Washington Huskies W 65 - 47
2012-01-28 vs California Golden Bears W 74 - 71
2012-02-02 @ Arizona State Sun Devils W 62 - 49
2012-02-04 @ Arizona Wildcats W 91 - 51
2012-02-09 vs USC Trojans W 69 - 52
2012-02-12 vs UCLA Bruins W 82 - 59
2012-02-16 @ Oregon State Beavers W 78 - 45
2012-02-18 @ Oregon Ducks W 81 - 46
2012-02-23 vs Colorado Buffaloes W 68 - 46
2012-02-25 vs Utah Utes W 69 - 42
2012-02-29 vs Seattle U Redhawks W 76 - 52
2012-03-04 @ California Golden Bears W 86 - 61
2012-03-08 vs Washington Huskies W 76 - 57
2012-03-09 vs Arizona State Sun Devils W 52 - 43
2012-03-10 vs California Golden Bears W 77 - 62
2012-03-17 vs Hampton Lady Pirates W 73 - 51
2012-03-19 vs West Virginia Mountaineers W 72 - 55
2012-03-24 vs South Carolina Gamecocks W 76 - 60
2012-03-26 vs Duke Blue Devils W 81 - 69
2012-04-01 @ Baylor Bears L 47 - 59

2012 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%
N. Ogwumike N. Ogwumike NA 26 0.0 22.9 10.6 1.5 1.4 1.2 2.3 16.0 19.3 572 31 18.5 26.0 53.5 8.3 82.7 8.11 60.0 53.6
C. Ogwumike C. Ogwumike F 27 0.0 14.9 10.4 1.4 0.9 1.1 1.8 10.0 16.8 577 31 18.6 28.4 57.0 0 63.7 8.5 60.0 57.0
J. Tinkle J. Tinkle NA 17 0.0 9.7 5.5 1.8 0.8 1.4 1.3 6.6 11.2 322 31 10.4 18.9 48.7 40.5 92.7 -0.56 63.0 56.2
T. Kokenis T. Kokenis G 25 0.0 9.2 3.3 3.3 1.0 0.1 1.7 9.5 5.7 550 31 17.7 24.9 35.7 28.4 78.3 6.07 44.7 41.0
A. Orrange A. Orrange G 16 0.0 5.9 3.4 3.6 1.1 0.2 1.4 5.6 7.2 280 31 9.0 21.0 43.8 33.3 70.0 2.2 48.1 44.9
T. Greenfield T. Greenfield F 11 0.0 5.2 2.4 1.8 0.7 0.0 0.7 4.3 5.1 238 27 8.8 21.8 44.7 41.9 100.0 0.28 59.5 58.5
L. La Rocque L. La Rocque NA 10 0.0 4.6 1.4 2.7 0.8 0.0 1.2 6.2 2.1 331 30 11.0 21.7 22.6 25.5 50.0 -0.54 35.1 33.9
J. Okrzesik J. Okrzesik G 4 0.0 2.0 1.5 2.2 0.2 0.2 1.5 2.8 2.0 68 7 9.7 25.9 36.4 0.0 0.0 1.49 35.0 36.4

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