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Stanford Cardinal

Also known as: Stanford Cardinal
Program History

2017 Team Stats (12 games)

66.1
PPG
76.1
Opp
-10.0
Margin
41.1%
FG%
28.5%
3P%
70.2%
FT%
33.1
RPG
13.2
APG
12.9
TO
-
Est. poss./game
71.6
Adj PPG
66.8
Adj Opp PPG
#96
Scoring Rank

Model Outputs

2016-2017
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†’ 1037 (#146) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1046 (#130) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 945 (#253) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +5.6 (#91) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +5.3 (#90) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.411 (#218) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.6 More โ†’ 0.730 (#90) AdjNet +8.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.7 More โ†’ 0.733 (#89) AdjNet +8.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.6 | AdjD 66.8 More โ†’ 0.607 (#96) AdjO 71.6 | AdjD 66.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.6 | AdjD 70.8 More โ†’ 0.519 (#152) AdjO 71.6 | AdjD 70.8
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†’ 0.572 (#122) 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†’ 0.554 (#134) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 137 | GP 30 More โ†’ 1002 (#172) RD 137 | GP 30

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Harvard Crimson W 80 - 70
2016-11-15 vs Cal State Northridge Matadors W 96 - 69
2016-11-17 vs Weber State Wildcats W 67 - 49
2016-11-20 vs Colorado State Rams W 56 - 49
2016-11-24 @ Miami Hurricanes L 53 - 67
2016-11-25 vs Indiana State Sycamores W 65 - 62
2016-11-27 @ Seton Hall Pirates W 66 - 52
2016-11-30 vs Saint Mary's Gaels L 51 - 66
2016-12-03 @ Kansas Jayhawks L 74 - 89
2016-12-16 vs Cal State East Bay Pioneers W 79 - 55
2016-12-19 @ SMU Mustangs L 49 - 72
2016-12-22 vs Idaho Vandals W 86 - 80
2016-12-30 vs Arizona State Sun Devils L 93 - 98
2017-01-01 vs Arizona Wildcats L 52 - 91
2017-01-05 @ USC Trojans L 56 - 72
2017-01-08 @ UCLA Bruins L 75 - 89
2017-01-12 vs Washington State Cougars W 84 - 54
2017-01-14 vs Washington Huskies W 76 - 69
2017-01-19 @ Oregon State Beavers W 62 - 46
2017-01-21 @ Oregon Ducks L 52 - 69
2017-01-29 @ California Golden Bears L 55 - 66
2017-02-02 vs Colorado Buffaloes L 74 - 81
2017-02-04 vs Utah Utes W 81 - 75
2017-02-08 @ Arizona Wildcats L 67 - 74
2017-02-11 @ Arizona State Sun Devils L 69 - 75
2017-02-17 vs California Golden Bears W 73 - 68
2017-02-22 vs Oregon State Beavers W 79 - 66
2017-02-25 vs Oregon Ducks L 73 - 75
2017-03-02 @ Colorado Buffaloes L 72 - 91
2017-03-04 @ Utah Utes L 59 - 67
2017-03-08 @ Arizona State Sun Devils L 88 - 98

2017 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%
R. Travis R. Travis F 15 31.0 18.2 8.9 0.5 0.5 0.2 2.1 7.4 18.9 19 23 0.8 1.2 56.8 0 70.3 0.96 95.1 56.8
D. Pickens D. Pickens G 18 29.6 11.7 3.5 1.3 0.8 0.1 1.6 6.1 9.7 53 27 2.0 2.8 39.1 38.6 78.9 3.78 83.3 51.4
M. Humphrey M. Humphrey F 18 23.0 8.2 5.9 0.9 0.7 0.4 1.2 6.2 8.7 9 26 0.3 0.6 40.2 7.7 70.8 2.04 60.0 40.6
M. Allen M. Allen G 18 27.1 6.9 2.3 1.4 1.2 0.1 1.3 5.5 5.2 -35 27 -1.3 -2.0 42.4 25.0 55.6 -1.1 55.9 45.5
R. Cartwright R. Cartwright G 18 22.5 6.2 1.5 2.9 1.3 0.0 1.5 3.9 6.6 -40 27 -1.5 -2.5 34.3 22.9 75.0 -0.63 74.4 40.0
M. Sheffield II M. Sheffield II G 18 18.4 4.8 1.3 1.4 0.9 0.0 1.5 3.4 3.5 -25 27 -0.9 -2.1 25.8 27.8 81.8 -0.93 65.1 29.8
J. Sharma J. Sharma C 18 13.8 4.1 3.1 0.1 0.3 0.8 0.7 2.4 5.4 -21 27 -0.8 -2.4 37.2 22.2 50.0 -0.49 75.6 39.5
G. Verhoeven G. Verhoeven C 18 12.9 4.0 2.4 0.1 0.4 0.2 0.6 2.3 4.2 22 26 0.8 2.8 48.8 40.0 88.2 2.15 74.3 51.2
C. Sanders C. Sanders G 18 19.2 3.0 2.1 3.7 0.5 0.1 2.4 1.3 5.7 40 27 1.5 3.7 33.3 22.2 73.3 2.21 88.2 37.5
C. Walker C. Walker F 8 8.1 1.5 1.6 0.4 0.2 0.1 0.8 0.8 2.4 -28 11 -2.5 -15.3 50.0 0.0 71.4 -2.44 66.1 50.0
M. Allen M. Allen C 8 3.6 0.8 0.2 0.1 0.2 0.0 0.0 0.2 1.1 -1 9 -0.1 -1.9 100.0 0 0 -0.49 150.0 100.0
T. Stanback T. Stanback F 9 6.1 0.8 0.6 0.6 0.1 0.0 0.3 0.9 0.8 -21 14 -1.5 -13.2 25.0 0 16.7 -2.77 32.9 25.0
R. Herenton R. Herenton G 4 1.0 0.5 0.0 0.0 0.0 0.0 0.5 0.2 -0.2 - - - - 0.0 0.0 0 -1.84 100.0 0.0
B. Pagon B. Pagon G 4 2.2 0.5 0.5 0.0 0.2 0.0 0.2 0.5 0.5 - - - - 0.0 0.0 100.0 -1.84 34.7 0.0
J. Hanson J. Hanson G 3 1.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.84 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