If we look at the two types of analytics that are used in sports today, we’ve got on-field and off-field analytics. The on-field type is often referred to as athlete performance analytics. Whereas the off-field kind is often referred to as sales and marketing analytics, which really helps us understand the revenue streams and the consumer, the sports fan, who’s driving the revenue equation. So, for the off-field analytics, we’re looking at all sorts of demographic data and information about, say, our season-ticket holders, for example.
We’re also looking at the flow of their tickets. Let’s say someone buys a full-season ticket package—41 games, to see an NBA team play. They may only attend 22 of those games. So, what happens with the other 19 games? Do they give those tickets away to friends? Do they sell them? Are they sold, and then resold, and then resold again on the secondary market? If we can follow the trail of these tickets, we get a good sense of how the fan values the sport and values the season-ticket package. And these are important things that we want to know when looking at season-ticket renewals.
We also want to look at the prospects who are buying their tickets as potential season-ticket holders themselves. You can begin to see how this is just one example of a data stream that could really add to the revenue equation for a sports team.
For athlete performance analytics in baseball, for example, there are high-speed cameras and Doppler radar installed within all 30 Major League ballparks. This allows us to capture an enormous volume of data. And we know every movement on the field of a player. But we also have 20 plus metrics on every pitch that is thrown. So we have details on the velocity of the pitch when it leaves the hand of the pitcher and when it crosses the plate.
We know the location of the pitch. We know the movement of the pitch across several axes: the vertical axis and the horizontal axis. We even know the spin of the pitch—both the spin axis and the spin rate of the pitch. All of these diagnostics go a long way toward evaluating the effectiveness of a pitcher or a hitter.
We have the same for batted balls, and we also know where fielders are positioned and how they move across the field when a batted ball is put in play. All of these things give us so much more depth and richness, especially when compared to the data that’s on the back of an old baseball card, for example. These analytics really have changed the way we look at every aspect of these sports, and that’s the world that we’re playing in today.
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