Sunderland A.F.C We are often asked for examples of the type of report we produce for football clubs by way of introducing our services. The report below is an example of a full report, with only a few minor changes and redactions, that we recently produced, speculatively, for Sunderland AFC. Read more…
Every football squad is made up of 5 categories of players First-team regulars who fit the system Squad players who offer reasonable cover Young players who may develop into category (1) or (2) players but aren’t yet ready Players who do not fit into the clubs future plans for tactical, Read more…
One of the key questions about data scouting is how a player’s individual output is affected by the team they play in. It is unfair to expect a potentially highly skilled passing central midfielder to put up the same type of output playing for a direct style team in League Read more…
Trent Alexander-Arnold has had a remarkable start to his career. His record of assisting goals is exceptional, yes it helps to be playing passes to Salah, Mané and Firmino, but the quality of his passing would benefit any attacker. So, from a technical scouting perspective what can we pick out Read more…
Imagine a league with 20 teams, each requires a right back and a pool of the best 20 right backs are gathered together, with the clubs, in a room. Each club submits it’s list of the 20 players in ranked order from most to least preferred. Each player submits their Read more…
MRKT Insights LLP are a football consultancy partnership specialising in technical scouting, recruitment, and analytics. We are actively recruiting for clients at several different levels of football. In order to provide our clients with the best possible service, we welcome contact from player agencies, intermediaries, and directly from clubs. We Read more…
MRKT Insights is a new company that has drawn together data scientists, scouts, and analysts. We offer bespoke services to each client depending on their needs. The work can be extremely complicated. But technical scouting doesn’t have to be comlex. The below blogs were written over the course of the Read more…
Billy Beane didn’t choose to use the sabermetric and data-driven processes we know as “Moneyball” because he loved statistics. He did it because sensible use of data gave his team a competitive advantage over his opponents. In football, we are still at the early adopter phase, just using data sensibly Read more…
Imagine a 20 team league, where every team is exactly equal with equally skilled players. Every team creates exactly 4 good chances a game, each chance has a 50% chance of being scored. I think most people would say if every team is exactly as good, and create exactly as many chances Read more…
