Get FanMatch by date
kp_fanmatch(date = "2022-02-22")Date of games to pull (YYYY-MM-DD)
A data frame 20 columns: |col_name |types | |:------------|:---------| |prediction |character | |time_et |character | |location |character | |thrill_score |numeric | |comeback |numeric | |excitement |numeric | |road_rk |numeric | |road_team |character | |home_rk |numeric | |home_team |character | |win_rk |numeric | |win_team |character | |win_score |numeric | |loss_rk |numeric | |loss_team |character | |loss_score |numeric | |poss |numeric | |mvp |character | |event |character | |date |character |
# \donttest{
try(kp_fanmatch(date="2022-02-22"))
#> # A tibble: 28 × 20
#> prediction time_et location thrill_score comeback excitement road_rk
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 Villanova 66-65 (5… 8:00 pm Hartfor… 78.5 NA NA 9
#> 2 Iowa 80-75 (66%) 7:00 pm Iowa Ci… 68.9 NA NA 23
#> 3 Florida 71-70 (51%) 7:00 pm Gainesv… 68.7 NA NA 22
#> 4 Alabama 75-72 (61%) 9:00 pm Nashvil… 66.9 NA NA 18
#> 5 Boise St. 58-54 (6… 9:00 p… Boise, … 59.2 NA NA 42
#> 6 Texas Tech 67-59 (… 8:00 pm Lubbock… 57.5 NA NA 28
#> 7 Nevada 74-73 (52%) 11:00 … Reno, N… 50.2 NA NA 97
#> 8 Kansas 78-66 (86%) 9:00 pm Lawrenc… 46.6 NA NA 56
#> 9 Tennessee 72-62 (8… 7:00 pm Columbi… 45.0 NA NA 10
#> 10 Miami FL 71-66 (68… 8:00 p… Pittsbu… 43.6 NA NA 66
#> # … with 18 more rows, and 13 more variables: road_team <chr>, home_rk <dbl>,
#> # home_team <chr>, win_rk <dbl>, win_team <chr>, win_score <dbl>,
#> # loss_rk <dbl>, loss_team <chr>, loss_score <dbl>, poss <dbl>, mvp <chr>,
#> # event <chr>, date <chr>
# }