What we really need is a reprex that builds the table you are interested in using.
What does a date like 1/14/17 PM mean?
Here is a reprex that builds a table
suppressPackageStartupMessages(library(tidyverse))
mdb <- tribble(
~Player.Name, ~Period.Name, ~Average.Distance, ~Total.HIR, ~Velocity.Band.6, ~Date, ~Session.Type,
"Player 1", "Quarter 1", 2948.245, 1245.07, 99.380000, "1/4/17 PM", 1,
"Player 2", "Quarter 1", 3537.611, 1230.86, 19.689990, "1/4/17 PM", 1,
"Player 1", "Quarter 2", 3272.815, 1039.59, 14.940000, "1/4/17 PM", 1,
"Player 2", "Quarter 2", 3612.610, 1076.92, 12.190000, "1/4/17 PM", 1)
mdb
#> # A tibble: 4 x 7
#> Player.Name Period.Name Average.Distance Total.HIR Velocity.Band.6 Date
#> <chr> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 Player 1 Quarter 1 2948. 1245. 99.4 1/4/…
#> 2 Player 2 Quarter 1 3538. 1231. 19.7 1/4/…
#> 3 Player 1 Quarter 2 3273. 1040. 14.9 1/4/…
#> 4 Player 2 Quarter 2 3613. 1077. 12.2 1/4/…
#> # ... with 1 more variable: Session.Type <dbl>
Created on 2018-03-07 by the reprex package (v0.2.0).
More info about reprex is here https://www.jessemaegan.com/post/so-you-ve-been-asked-to-make-a-reprex/
Also at present there is an issue with the reprex in CRAN so you should use the one on github.
Until CRAN catches up with the latest version install reprex with
devtools::install_github("tidyverse/reprex")
Keep in mind that just about everyone here is answering questions in their spare time so it is appreciated if you do as much as you can to make it easy as possible for people to help you.