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Stanford Cardinal

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

2018 Team Stats (9 games)

73.9
PPG
79.1
Opp
-5.2
Margin
44.5%
FG%
38.1%
3P%
66.7%
FT%
36.4
RPG
13.6
APG
14.2
TO
-
Est. poss./game
75.6
Adj PPG
69.9
Adj Opp PPG
#93
Scoring Rank

Model Outputs

2017-2018
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 → 1141 (#92) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1103 (#104) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1041 (#113) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +6.6 (#89) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +6.5 (#90) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.536 (#148) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.5 More → 0.769 (#83) AdjNet +10.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.6 More → 0.772 (#84) AdjNet +10.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.6 | AdjD 69.9 More → 0.628 (#93) AdjO 75.6 | AdjD 69.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.1 | AdjD 71.9 More → 0.572 (#106) AdjO 75.1 | AdjD 71.9
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 → 0.664 (#89) 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 → 0.653 (#92) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 35 More → 1130 (#85) RD 101 | GP 35

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Cal Poly Mustangs W 78 - 62
2017-11-12 vs Pacific Tigers W 89 - 80
2017-11-14 vs Eastern Washington Eagles L 61 - 67
2017-11-17 vs Northeastern Huskies W 73 - 59
2017-11-20 vs North Carolina Tar Heels L 72 - 96
2017-11-23 vs Florida Gators L 87 - 108
2017-11-24 @ Ohio State Buckeyes L 71 - 79
2017-11-26 vs Portland State Vikings L 78 - 87
2017-11-29 vs Montana Grizzlies W 70 - 54
2017-12-03 @ Long Beach State Beach L 68 - 76
2017-12-15 vs Denver Pioneers W 75 - 62
2017-12-17 vs San Francisco Dons W 71 - 59
2017-12-21 vs Kansas Jayhawks L 54 - 75
2017-12-30 vs California Golden Bears L 74 - 77
2018-01-04 vs UCLA Bruins W 107 - 99
2018-01-07 vs USC Trojans W 77 - 76
2018-01-11 @ Washington State Cougars W 79 - 70
2018-01-13 @ Washington Huskies W 73 - 64
2018-01-17 vs Arizona State Sun Devils W 86 - 77
2018-01-20 vs Arizona Wildcats L 71 - 73
2018-01-24 @ USC Trojans L 64 - 69
2018-01-27 @ UCLA Bruins L 73 - 89
2018-02-01 vs Oregon State Beavers W 80 - 71
2018-02-03 vs Oregon Ducks W 96 - 61
2018-02-08 @ Utah Utes L 60 - 75
2018-02-11 @ Colorado Buffaloes L 56 - 64
2018-02-18 @ California Golden Bears W 77 - 73
2018-02-22 vs Washington Huskies W 94 - 78
2018-02-24 vs Washington State Cougars W 86 - 84
2018-03-01 @ Arizona Wildcats L 67 - 75
2018-03-03 @ Arizona State Sun Devils W 84 - 83
2018-03-07 vs California Golden Bears W 76 - 58
2018-03-08 @ UCLA Bruins L 77 - 88
2018-03-14 vs BYU Cougars W 86 - 83
2018-03-19 @ Oklahoma State Cowboys L 65 - 71

2018 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 33 33.8 19.5 8.7 1.4 0.7 0.1 2.1 5.1 23.1 41 30 1.4 1.6 53.8 37.9 63.3 3.33 157.5 57.1
D. Pickens D. Pickens G 23 35.0 15.2 3.9 2.1 0.8 0.1 1.9 3.0 17.2 70 19 3.7 4.2 42.6 40.0 78.9 2.15 228.5 54.4
D. Davis D. Davis G 31 30.2 10.5 4.3 4.8 1.3 0.2 4.1 2.5 14.5 14 28 0.5 0.6 55.8 52.9 70.0 -0.25 172.8 61.7
M. Humphrey M. Humphrey F 33 25.5 9.8 7.2 0.7 0.7 0.9 1.6 2.8 14.8 15 30 0.5 0.8 41.9 44.0 65.2 -0.77 156.6 47.8
KZ Okpala KZ Okpala - 6 28.7 9.2 4.7 2.7 1.5 0.5 1.2 8.5 8.8 17 18 0.9 1.3 29.4 25.0 79.3 -1.55 43.1 31.4
L. Waters III L. Waters III - 1 28.0 8.0 5.0 3.0 2.0 0.0 0.0 0.0 18.0 - - - - 0 0 0 - 0 0
O. da Silva O. da Silva F 33 24.3 6.4 4.8 1.2 0.5 0.9 1.4 1.6 10.7 49 30 1.6 2.9 44.4 54.5 52.4 2.23 166.0 55.6
I. White I. White G 31 17.3 5.7 1.3 0.8 0.2 0.0 0.8 1.9 5.2 -50 28 -1.8 -4.3 37.3 30.2 82.4 -2.59 132.4 48.3
R. Cartwright R. Cartwright G 26 17.3 4.5 1.6 2.2 0.6 0.0 1.1 1.8 6.0 35 23 1.5 3.2 35.4 31.8 76.9 0.83 108.0 42.7
J. Sharma J. Sharma C 32 9.6 3.5 2.2 0.1 0.1 0.7 0.6 1.2 4.8 -19 28 -0.7 -2.8 65.8 50.0 63.6 -2.02 129.6 71.1
T. Stanback T. Stanback F 10 5.0 1.2 1.0 0.2 0.3 0.3 0.3 0.2 2.5 -4 12 -0.3 -4.0 50.0 0 0 -2.77 300.0 50.0
K. Pugh K. Pugh F 16 6.7 1.1 0.6 0.4 0.2 0.1 0.7 0.8 0.8 -11 13 -0.8 -4.5 30.8 0.0 50.0 -2.02 61.0 30.8
R. Herenton R. Herenton G 6 1.7 0.7 0.2 0.0 0.0 0.0 0.0 0.2 0.7 10 5 2.0 45.8 0.0 0 100.0 0.44 106.4 0.0
B. Pagon B. Pagon G 12 5.5 0.0 0.7 0.3 0.0 0.0 0.2 0.2 0.6 18 13 1.4 8.7 0.0 0.0 0.0 2.34 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