Get FanMatch by date
Value
A data frame with the following 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 |
See also
Other KP Misc. Functions:
kp_arenas()
,
kp_game_attrs()
,
kp_hca()
,
kp_officials()
,
kp_referee()
,
kp_trends()
Examples
# \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 Connecticut 68-67 … "box\n… Hartfor… 78.6 5 2.83 NA
#> 2 Arkansas 69-68 (52… "box\n… Gainesv… 69.9 8 1.97 NA
#> 3 Alabama 77-74 (60%) "box\n… Nashvil… 67.7 9 1.85 NA
#> 4 Boise St. 59-56 (5… "box\n… Boise, … 65.3 6 1.98 NA
#> 5 Iowa 81-75 (71%) "box\n… Iowa Ci… 65.2 2 -0.1 NA
#> 6 UNLV 75-74 (51%) "box\n… Reno, N… 53.7 6 1.3 NA
#> 7 Texas Tech 70-60 (… "box\n… Lubbock… 51.5 0 -0.09 NA
#> 8 Miami FL 72-68 (65… "box\n… Pittsbu… 46.1 0 -0.3 NA
#> 9 Kansas 78-66 (86%) "box\n… Lawrenc… 45.6 3 0.3 NA
#> 10 Tennessee 71-60 (8… "box\n… Columbi… 41.9 4 0.35 NA
#> # ℹ 18 more rows
#> # ℹ 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>
# }