2020: Week 18


Due to the social distancing and isolation caused by Covid-19, all football games have been postponed across the majority of the world. Therefore to help fill the void, this week’s challenge is all about analysing football team line-ups and in-particular the Premier League games for Liverpool.

We start with a nicely formatted spreadsheet that includes the following:
  • Match Details - Including dates, teams, location and formation
  • Match Day Squad - 18 players broken down into Starting XI & Substitutes
    • Starting XI - the 11 players who started the game for Liverpool
    • Substitutes - the 7 players who started as a substitute for Liverpool
  • Substitution Information - Includes the Player On/Off and the Time
From this we want to answer some questions about the playing time of each of the players.

Requirements

  • Input Data
  • Update the headers for Match Details, Starting XI, Substitutes. Ideally this will be done without just renaming each individual header separately. Note, for substitutes the headers follow this pattern, where X is the substitute number:
    • SubX = Substitute Off, the player number who has left the field
    • SubX 1 = Substitute On, the player number who is entering the field
    • SubX 2 = Time of Substitute, the time in the match when the substitution occurred
  • Calculate whether or not the player was substituted on/off, what number substitute it was (1/2/3), and at what time in the match it happened. 
  • If a player was substituted in the 90th minute, then we count this as 1 appearance but 0 mins played, as we don't have information about additional time played in the match. 

Answer the following questions:
  • How many times has each player been in the squad? 
  • How many appearances has each player made?
  • What is their minute per games ratio? (This only includes games that they made an appearance in)

Output

  • 5 Fields:
    • In Squad
    • Player Name
    • Mins Played
    • Appearances
    • Mins per Game
  • 29 rows (30 incl. headers)

The full output can be found here for comparison. Don’t forget to fill the participation tracker and share your solutions using #PreppinData on Twitter.

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