Skip to contents

Returns a tibble with similar quality and resume metrics used by the NCAA seeding committee. Data runs back to the 2019 tournament.

Usage

bart_tourney_sheets(year = current_season())

Arguments

year

Defaults to current season (YYYY).

Value

Returns a tibble with 16 columns:

team

character.

seed

double.

net

double.

kpi

double.

sor

double.

res_avg

double. Average of resume rankings (NET, KPI, and SOR).

bpi

double.

kp

double.

sag

double.

qual_avg

double. Average of quality rankings (BPI, KP, and Sag).

q1a

character.

q1

character.

q2

character.

q1_2

character.

q3

character.

q4

character.

Examples

bart_tourney_sheets(year=2019)
#> # A tibble: 359 x 16
#>    team    seed   net   kpi   sor res_avg   bpi    kp   sag qual_avg q1a   q1   
#>    <chr>  <dbl> <dbl> <dbl> <dbl>   <dbl> <dbl> <dbl> <dbl>    <dbl> <chr> <chr>
#>  1 Virgi~     1     1     2     1     1.5     1     1     2      1.3 8-3   12-3 
#>  2 Gonza~     1     2    11     9    10       2     2     5      3   2-2   4-3  
#>  3 Duke       1     3     1     2     1.5     3     3     1      2.3 9-4   11-4 
#>  4 Houst~     3     4     5    11     8      12    13    17     14   3-1   6-3  
#>  5 Tenne~     2     5    10     4     7       7     8     6      7   7-5   9-5  
#>  6 Kentu~     2     6     7     7     7       8     7     7      7.3 7-4   10-5 
#>  7 North~     1     7     3     3     3       5     6     3      4.7 9-4   10-6 
#>  8 Michi~     2     8     6     5     5.5     4     4     4      4   7-3   13-4 
#>  9 Michi~     2     9     8     6     7       6     5     8      6.3 4-4   9-6  
#> 10 Texas~     3    10    12    12    12       9     9     9      9   3-4   8-5  
#> # ... with 349 more rows, and 4 more variables: q2 <chr>, q1_2 <chr>, q3 <chr>,
#> #   q4 <chr>