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project_one

FinTech Project: Valentina Buritica, Jeff Berger, Aidan Dowdle, & Aaron Devaney

Team Data

A central question to analyze how the team performed is to judge it's peformance against
its competitors and metrics set forward by the league. PSG has over performed it's competitors
since 2011. 2011 marked the first year after ownership of PSG changed hands and large scale
investment in the transfer market began. Looking at the data, you can see a consistent and
accelerating uptick in the amount of points that PSG is winning. Interestingly, PSG peers
seem to have up and down seasons where PSG has been able to maintain a steady top level of
performance.

total_points

Across European Soccer leagues, the winner of a given league is the team that collects the
most points after playing a season (38 games) against it’s competitors. Three points are
awarded for a wine, one point for a draw, and none for a defeat, with the team with the most
ponts at the end of the season winning the league title. Using the 2013-2014 top 4 finishers
as a becnhmark across five leagues, the below graph is PSG’s total points versus the top 4
competitors in each of the English, French, Spanish, German and Italian leagues.

team_wins

Goal differential data is an important indicator of how well a team is performing. A team
that is able to limit it’s opponents goals by having strong defense and goalkeeping that
is also able to pass and score more effectively have a significantly better chance of winning
more games, and drawing more games against close competitors. Generally, PSG is winning it’s
games by a lot larger margins than what its peers are doing. This demonstrates that the team
that the team that PSG has put together is significantly more competitive and productive than
the rest.

goal_differential

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