Stanford Cardinal

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017

Also known as: Stanford Cardinal

Program History

2018 Team Stats (26 games)

68.0

PPG

63.0

Opp

+5.0

Margin

41.9%

FG%

31.0%

3P%

63.8%

FT%

40.3

RPG

13.2

APG

14.5

Est. poss./game

73.4

Adj PPG

52.3

Adj Opp PPG

#18

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 →	1485 (#16)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1330 (#21)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More →	1169 (#19)	HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More →	+23.1 (#17)	HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More →	+23.2 (#19)	HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.744 (#81)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +34.8 More →	0.983 (#17)	AdjNet +34.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +35.6 More →	0.984 (#17)	AdjNet +35.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.4 \| AdjD 52.3 More →	0.872 (#18)	AdjO 73.4 \| AdjD 52.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.2 \| AdjD 57.8 More →	0.787 (#24)	AdjO 72.2 \| AdjD 57.8
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 →	0.917 (#16)	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 →	0.907 (#17)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 \| GP 35 More →	1311 (#22)	RD 100 \| GP 35

2018 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2017-11-10	@	Ohio State Buckeyes	L	64 - 85
2017-11-12	@	UConn Huskies	L	53 - 78
2017-11-17	vs	UC Riverside Highlanders	W	53 - 43
2017-11-19	vs	Cal State Bakersfield Roadrunners	W	57 - 34
2017-11-23	vs	Kent State Golden Flashes	W	79 - 54
2017-11-24	vs	Belmont Bruins	W	74 - 53
2017-11-25	@	Ohio State Buckeyes	L	82 - 94
2017-11-29	@	San Francisco Dons	W	86 - 66
2017-12-03	@	Baylor Bears	L	57 - 81
2017-12-16	vs	UNLV Lady Rebels	W	74 - 33
2017-12-18	vs	Western Illinois Leathernecks	L	64 - 71
2017-12-21	vs	Tennessee Lady Volunteers	L	71 - 83
2017-12-29	vs	UCLA Bruins	W	76 - 65
2017-12-31	vs	USC Trojans	W	72 - 65
2018-01-05	@	Arizona Wildcats	W	61 - 46
2018-01-07	@	Arizona State Sun Devils	L	66 - 73
2018-01-12	vs	Washington State Cougars	W	70 - 57
2018-01-14	vs	Washington Huskies	W	71 - 45
2018-01-19	@	USC Trojans	W	59 - 55
2018-01-21	@	UCLA Bruins	L	53 - 64
2018-01-26	vs	Arizona State Sun Devils	W	74 - 50
2018-01-28	vs	Arizona Wildcats	W	79 - 42
2018-02-02	@	Oregon State Beavers	W	60 - 57
2018-02-04	@	Oregon Ducks	W	78 - 65
2018-02-09	vs	Utah Utes	W	70 - 49
2018-02-11	vs	Colorado Buffaloes	W	62 - 53
2018-02-15	vs	California Golden Bears	W	74 - 69
2018-02-17	@	California Golden Bears	L	66 - 78
2018-02-23	@	Washington Huskies	W	86 - 79
2018-02-25	@	Washington State Cougars	-	Preview
2018-03-02	vs	USC Trojans	W	69 - 59
2018-03-03	vs	Arizona State Sun Devils	W	58 - 46
2018-03-04	@	Oregon Ducks	L	57 - 77
2018-03-17	vs	Gonzaga Bulldogs	W	82 - 68
2018-03-19	vs	Florida Gulf Coast Eagles	W	90 - 70
2018-03-23	@	Louisville Cardinals	L	59 - 86

2018 Roster

Show Alumni If everyone stayed four years

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%
B. McPhee	G	19	32.4	16.7	5.9	2.3	1.4	0.6	2.5	14.3	10.2	172	23	7.5	9.7	44.3	21.1	68.9	3.9	51.2	47.2
Alyssa Smith	-	26	28.4	12.3	6.6	1.2	1.4	1.8	2.5	11.7	9.0	197	31	6.4	9.1	43.3	29.2	50.8	3.0	48.3	47.5
K. Williams	-	26	26.5	11.2	1.4	1.8	0.8	0.1	1.3	9.0	5.0	203	31	6.5	10.2	43.4	40.1	86.1	3.67	57.8	55.1
DiJonai Carrington	-	23	22.0	9.0	5.8	1.6	1.3	0.3	2.0	8.4	7.5	154	29	5.3	9.7	42.5	27.4	65.7	2.35	49.7	47.7
M. Sniezek	G	26	27.4	5.5	3.3	4.3	1.0	0.1	2.3	4.4	7.6	173	31	5.6	8.3	33.3	35.0	66.7	2.69	48.1	39.5
K. Johnson	F	26	23.7	4.7	7.6	0.9	0.6	1.2	1.6	3.9	9.5	189	31	6.1	10.5	50.0	0	54.1	2.53	51.6	50.0
N. Fingall	F	25	11.9	3.8	2.9	0.4	0.4	0.3	0.5	3.0	4.3	80	30	2.7	9.5	46.1	40.0	68.2	2.73	55.4	52.6
M. Dodson	F	25	11.3	3.5	2.0	0.2	0.1	0.9	0.7	3.1	2.9	22	29	0.8	3.2	50.0	0	38.5	1.84	49.2	50.0
A. Romano	G	21	9.3	2.9	0.9	0.5	0.4	0.0	0.6	2.8	1.2	37	25	1.5	6.5	35.6	33.3	77.8	0.56	47.6	44.9
A. Wilson	G	14	12.0	2.9	1.4	0.4	0.7	0.1	0.7	4.4	0.5	-11	18	-0.6	-2.7	23.0	20.8	100.0	-1.76	33.1	32.0
A. Jerome	F	25	9.4	2.0	1.1	0.4	0.0	0.1	0.6	2.0	1.1	-14	30	-0.5	-2.1	40.8	31.8	50.0	-2.15	48.3	48.0
S. Coffee	C	21	4.1	1.1	0.8	0.2	0.1	0.1	0.5	1.4	0.6	-11	22	-0.5	-4.6	31.0	37.5	0	0.26	41.4	41.4
E. Moschkau	G	18	1.8	0.4	0.2	0.1	0.0	0.0	0.0	0.4	0.3	-17	18	-0.9	-16.4	42.9	40.0	0	-3.33	57.1	57.1
M. Brewer	G	13	1.8	0.2	0.1	0.1	0.0	0.0	0.2	0.8	-0.7	-14	12	-1.2	-21.5	9.1	0.0	0	-2.73	9.1	9.1

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