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Stanford Cardinal

2014 Team Stats (10 games)

66.0
PPG
66.7
Opp
-0.7
Margin
43.6%
FG%
34.0%
3P%
71.5%
FT%
33.5
RPG
9.4
APG
10.3
TO
-
Est. poss./game
74.5
Adj PPG
63.0
Adj Opp PPG
#34
Scoring Rank

Model Outputs

2013-2014
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†’ 1165 (#56) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1226 (#42) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1096 (#53) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +12.6 (#34) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +11.3 (#36) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.673 (#75) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.4 More โ†’ 0.893 (#33) AdjNet +18.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.6 More โ†’ 0.895 (#33) AdjNet +18.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.5 | AdjD 63.0 More โ†’ 0.741 (#34) AdjO 74.5 | AdjD 63.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.6 | AdjD 62.8 More โ†’ 0.648 (#48) AdjO 69.6 | AdjD 62.8
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 โ†’ 0.788 (#35) 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†’ 0.773 (#36) 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 36 More โ†’ 1233 (#42) RD 93 | GP 36

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Bucknell Bison W 72 - 68
2013-11-11 vs BYU Cougars L 103 - 112
2013-11-14 vs Northwestern Wildcats W 71 - 58
2013-11-17 @ Denver Pioneers W 66 - 57
2013-11-21 vs Texas Southern Tigers W 97 - 71
2013-11-25 @ Houston Cougars W 86 - 76
2013-11-26 vs Pittsburgh Panthers L 67 - 88
2013-12-01 vs South Dakota State Jackrabbits W 92 - 60
2013-12-14 vs UC Davis Aggies W 83 - 56
2013-12-18 @ UConn Huskies W 53 - 51
2013-12-21 @ Michigan Wolverines L 65 - 68
2013-12-29 vs Cal Poly Mustangs W 79 - 62
2014-01-02 vs California Golden Bears L 62 - 69
2014-01-09 @ Oregon State Beavers L 72 - 81
2014-01-12 @ Oregon Ducks W 82 - 80
2014-01-15 vs Washington State Cougars W 80 - 48
2014-01-18 vs Washington Huskies W 79 - 67
2014-01-23 @ UCLA Bruins L 74 - 91
2014-01-26 @ USC Trojans W 79 - 71
2014-01-29 vs Arizona Wildcats L 57 - 60
2014-02-01 vs Arizona State Sun Devils W 76 - 70
2014-02-05 @ California Golden Bears W 80 - 69
2014-02-12 @ Washington Huskies L 60 - 64
2014-02-15 @ Washington State Cougars W 69 - 56
2014-02-20 vs USC Trojans W 80 - 59
2014-02-22 vs UCLA Bruins W 83 - 74
2014-02-26 @ Arizona State Sun Devils L 64 - 76
2014-03-02 @ Arizona Wildcats L 66 - 79
2014-03-05 vs Colorado Buffaloes L 56 - 59
2014-03-08 vs Utah Utes W 61 - 60
2014-03-12 vs Washington State Cougars W 74 - 63
2014-03-13 @ Arizona State Sun Devils W 79 - 58
2014-03-14 @ UCLA Bruins L 59 - 84
2014-03-21 @ New Mexico Lobos W 58 - 53
2014-03-23 @ Kansas Jayhawks W 60 - 57
2014-03-27 vs Dayton Flyers L 72 - 82

2014 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Chasson Randle Chasson Randle G 30 35.6 18.8 3.7 2.2 1.0 0.1 2.4 7.1 16.3 121 33 3.7 4.4 42.0 32.1 76.0 2.62 110.9 48.1
D. Powell D. Powell F 30 32.2 14.5 7.0 3.1 1.4 0.9 2.9 5.7 18.2 86 33 2.6 3.4 45.9 23.5 63.7 -0.4 101.2 47.1
A. Brown A. Brown G 30 33.3 11.4 5.0 2.0 0.7 0.1 1.9 4.2 13.0 118 32 3.7 4.7 46.5 44.0 77.1 2.52 115.1 55.1
J. Huestis J. Huestis F 30 35.0 10.9 8.0 1.0 0.7 1.7 1.1 4.9 16.2 124 33 3.8 4.6 44.6 30.8 57.1 2.17 98.2 47.3
S. Nastic S. Nastic C 30 20.0 7.5 3.0 1.1 0.2 1.0 1.2 2.6 8.9 84 33 2.5 5.5 54.4 0 68.9 1.08 113.4 54.4
A. Bright A. Bright G 5 19.0 6.0 1.0 2.8 0.2 0.0 1.0 0.8 8.2 - - - - 25.0 33.3 0 - 375.0 37.5
J. Gage J. Gage F 28 12.0 3.5 1.6 0.4 0.4 0.4 0.4 1.8 4.0 36 31 1.2 4.2 32.7 26.8 100.0 2.22 92.3 43.9
R. Lemons R. Lemons G 29 12.9 2.2 1.2 0.3 0.5 0.0 0.2 0.8 3.1 12 32 0.4 1.4 37.5 20.0 83.3 -0.94 118.2 43.8
M. Allen M. Allen G 27 9.2 1.7 1.2 0.5 0.4 0.1 0.3 1.0 2.5 -5 30 -0.2 -0.8 25.0 10.0 25.0 -0.84 77.3 26.8
J. Ryan J. Ryan - 4 3.2 0.8 0.8 0.2 0.0 0.0 0.2 0.0 1.5 - - - - 0 0 0 - 0 0
M. Allen M. Allen C 14 4.1 0.8 0.1 0.0 0.0 0.0 0.1 0.1 0.8 -1 15 -0.1 -0.7 100.0 0 100.0 -0.6 381.9 100.0
G. Verhoeven G. Verhoeven C 27 5.3 0.6 1.0 0.2 0.1 0.0 0.2 0.2 1.4 -31 30 -1.0 -7.8 40.0 0 83.3 -4.04 98.2 40.0
W. Morgan W. Morgan G 7 1.6 0.1 0.3 0.1 0.3 0.0 0.0 0.0 0.9 -3 6 -0.5 -10.2 0 0 0.0 -1.72 56.8 0
R. Allen R. Allen F 1 7.0 0.0 0.0 0.0 1.0 0.0 0.0 1.0 0.0 - - - - 0.0 0 0 - 0.0 0.0
S. Rimmer S. Rimmer C 4 4.2 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 19 14 1.4 12.0 0 0 0 1.18 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