The students came away with a $20,000 USD prize from the annual sports data and analytics contest, by developing a tool that tracks and measures the pressure a quarterback faces when they have the ball.
Both Souza and the team say the tool could be easily adapted for use in a broadcast setting, allowing fans and commentators to better understand, explain and analyze the game on TV.
“And from that you can analyze different teams and say, if I'm Patrick Mahomes, or if I'm the quarterback against a particular team, I can be aware that let's say 30 or 40 per cent of the pressure is usually coming from my right side or a particular quadrant of the field.” “And using that individual player metric that's potentially a useful tool that teams can have to figure out which of their players are contributing more or less.”Hocevar, White and Inayatali met through U of T’s sports analytics club that holds weekly meetings during which students work on mini projects using different sports and data sets to hone their skills.
Souza says one of the aims of the competition is to help grow the game and engage both sports fans and people interested in sports analytics – not just in the U.S., but across the world. Souza added that when it comes to integrating technology and data into the traditional sports-viewing experience, it’s important to keep fan enjoyment top of mind.
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