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"Data is currently available only to a few elite clubs - we're here to change that"
Eyal Ben-Ari, Track160's CEO, was interviewed on the SportsTechX All Stars Podcast last week, and in a 30-minute chat with the host, Rohn Malhotra, talked about the current state of football (Soccer) data analytics, shared Track 160's vision - to making elite-level analytics available to every sub-elite team, and explained the uniqueness and value of "Coach160" (Track's fully AI-automated solution) to every stakeholder in a football club.
You'll find some of the quotes in the run-down below, but it's more than advised to listen to the full episode here:
"We automated the whole process of extracting data, tagging the events, and then analyzing the data"
Comments on data availability
"Everyone wants to have data, but that's exactly the thing, currently, data is only available to a few elite teams and athletes that have access to the technology and also the know-how to actually leverage it".
"That's exactly what we're trying to change - We're making data and data analytics available to any club, any team, any player, and also any parent or fan out there".
Track160's unique technology
"We're playing in the field of optical tracking which means that using computer vision and machine learning we're able to automate the whole process of extracting data, tagging the events, and then analyzing the data.”
"What's unique about our solution is that up until now, with GPSs and other sensors, you could get partial data - only about your players - with optical tracking you can get data about everyone that is on the field - players from both teams, the referee, and the ball movement. It really covers everything".
"We managed to replace the hardware and humans with software and machine learning algorithms"
"But so far, if you wanted to use optical tracking, solutions have been using 6 to 18 camera sets that are located around the pitch. That's obviously very expensive both to implement and then to operate, and teams also needed to have humans to actually do the tagging and then to operate it.”
"What we managed to do is to replace the hardware and humans with software and machine learning algorithms to essentially automate the whole process, by using just one camera set located in a single viewpoint nearby the pitch. That's the real beauty of our solution.”
"And because we were able to get to that level of simplicity with very low touch implementation, that allowed us to go to sub-elite clubs and down to the grassroots. We want to make the same capabilities that only elite clubs use now, available to any team, at any level".
