![]() ![]() ![]() Now, it has a clear-cut definition: It’s “the amount of passing attempts a quarterback makes that are into tight coverage, where there is a defender within one yard or less of the receiver at the time of pass completion or incompletion.” Such a stat would be impossible to define without exact time, location, and distance information, but thanks to Zebra’s sensor tech, this is being tracked and updated on every passing play a QB makes. Prior to all this sensor-driven data, a quarterback’s aggressiveness was a completely subjective quality with no real significance. It also allows the NFL to measure things that were previously impossible to quantify - like aggressiveness. There’s a whole host of derivative statistics that can be calculated by combining and correlating all these data points - things like Average Intended Air Yards, Expected Completion Percentage, and Completion Percentage Above Expectation. But really, those raw measurements are just the tip of the iceberg. Nowadays, they track all that stuff, plus speed, acceleration, location, and time. It’s far beyond the basic stuff you’re probably used to, like touchdowns, rushing yards, and completed passes. Deep stats, deeper strategyĪll this data collection has unlocked a completely new generation of stats. In other words, the NFL tracks real-time location, speed, and acceleration data for every player, every object, and every play, on every inch of the field - and it’s been doing so for every regular season football game for the past seven years.īut here’s the kicker: Despite the fact that the league has been capturing this data for the better part of a decade, we’re only now starting to see how it’s changing the game. Stories from the Edge: NFL Bets Big on RFID, IoT
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