British Premier League Player Type Price Optimization
This project seeks to explore the frequent line-ups of successful & unsuccessful clubs constrained by finances. To investigate this problem, the researchers (1) built a game week over game week linear optimized model, (2) used actual club squad rosters, and conducted (3) dissimilarity analysis by drawing a network exhibiting the distance between maximized frequent itemsets and minimized itemsets.
The researchers clustered the players based on position, market value, & season points contributed; thus, appropriating a Gold, Silver, or Bronze tier to each player in a given season.
- The researchers built a maximization & minimization model to build an optimal, budgetconstrained squad. Then, the researchers will conduct Apriori analysis on the maximization and minimized game week transactions.
- Next, the researchers identified the top 25% and bottom 25% of teams in each season. Then, the researchers created squad transactions by identifying if a player played for a top or bottom club in the week. Then, the researchers conducted Apriori analysis on the top & worst teams in the season.
- Lastly, the researchers drew a dissimilarity network between the maximized and minimized frequent itemsets.
Results
- Invest in a strong gold tiered midfield accompanied by at least one strong wing back
- Tactically focus on transitional moments relative to establishing defense
- Above average Gold Midfielders score the expected value of Gold Forwards & provide more assists
- Gold Midfielders reap the highest return on capital investment
- Ensure tactics conform to the player combinations to generate fortunate results
- Although a team may contain the same quality line up combinations as top-flight clubs, it may perform as a relegation class team due to mismanagement.
