Machine Football
Machine Football is the most powerful tool in the sport, mapping football at every layer and providing a scope for the comparison of over players aged 14+. Our novel AI models understand and predict player performance, style and chemistry with others and simplifies how a club achieves alignment between finance and the football. By using a new ground up approach to understand every element of football and every data source, our tool can ensure the identity of a club is fully understood on and off the pitch. Helping decision makers with the right data and insight where and when they need them. This all-in-one service helps some of the biggest clubs in the world when they need to move fast. It provides the certainty they need to look at the market and compare their own performance. How effective the team playing style is, how the team performs week on week, how players deliver on this identity, and how this can be improved. Forecasting player cohesions, stylist fit, performance outcomes, club financials, injury records, player development, succession, and more. Machine Football offers four distinct market leading services for each part of football, clubs, players, media and league federations.
7-day free trial · no credit card
Verified contacts
7
available on Kipplo
LinkedIn employees
11
11 to 50 range
Open roles
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no listings
Distinct roles
3
indexed titles
Tech stack
1
tools in use
Monthly traffic
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organic / mo
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Decision-makers and verified team members
7 contacts with verified email or phone · masked until revealed.
- LS
Lucas Saux
Founders Associate · General Business & Management
EmailPhone - CP
Chris Perry
Founder & CEO · General Business & Management
EmailPhone
Showing 2 of 7 verified contacts
Top roles at Machine Football
3 distinct titles indexed · top 3 shown.
- 2founders associate
- 1ai ml intern
- 1founder & ceo
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Free for 7 days · 50 credits · no card · only pay for verified records.
Sign up to reveal 7 verified contacts at Machine Football
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Trusted by sales, marketing, and GTM engineering teams.