Returns a tibble with similar quality and resume metrics used by the NCAA seeding committee. Data runs from 2019-present.
Value
Returns a tibble with 16 columns:
team
character.
seed
double.
net
double. NCAA Net Ranking.
kpi_resume
double. KPI by Kevin Pauga. A resume metric.
sor_resume
double. Strength of record. A resume metric.
avg_resume
double. Average of resume rankings (NET, KPI, and SOR).
bpi_quality
double. BPI by ESPN. A quality metric.
kp_quality
double. KenPom ranking. A quality metric.
sag_quality
double. Sagarin ranking. A quality metrc.
avg_quality
double. Average of quality rankings (BPI, KP, and Sag).
q1a
character. Q1-A record.
q1
character. Q1 record. Home games vs. 1-30, neutral games vs. 1-50 teams, road games vs. 1-75 (NET rankings)
q2
character. Q2 record. Home games vs. 31-75, neutral games vs. 51-100, road games vs. 76-135 (NET rankings)
q1_2
character. Combined Q1 + Q2 record.
q3
character. Q3 record. Home games vs. 76-160, neutral games vs. 101-200, road games vs. 136-240 (NET rankings)
q4
character. Q4 record. Home games vs. 161-351, neutral games vs. 201-351, road games vs. 241-351 (NET rankings)
Examples
try(cbd_torvik_ncaa_sheets(year=2019))
#> # A tibble: 359 × 17
#> rank team seed net kpi_resume sor_resume avg_resume bpi_quality
#> <chr> <chr> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 1 Virginia 1 1 2 1 1.5 1
#> 2 2 Gonzaga 1 2 11 9 10 2
#> 3 3 Duke 1 3 1 2 1.5 3
#> 4 4 Houston 3 4 5 11 8 12
#> 5 5 Tennessee 2 5 10 4 7 7
#> 6 6 Kentucky 2 6 7 7 7 8
#> 7 7 North Carolina 1 7 3 3 3 5
#> 8 8 Michigan St. 2 8 6 5 5.5 4
#> 9 9 Michigan 2 9 8 6 7 6
#> 10 10 Texas Tech 3 10 12 12 12 9
#> # ℹ 349 more rows
#> # ℹ 9 more variables: kp_quality <chr>, sag_quality <chr>, avg_quality <chr>,
#> # quad_1a <chr>, quad_1 <chr>, quad_2 <chr>, quad_1_and_2 <chr>,
#> # quad_3 <chr>, quad_4 <chr>