Computers don't watch sports, people watch sports.

Machines don't wake up at 7 AM on a Sunday to watch your team lose to the Vikings in London. A robot doesn't know the thrill of victory and the agony of defeat like we do.

But computers are good with numbers. And there are more data and statistics in our favorite sports than ever before.

25 years ago, it was a tremendous advantage to use data to make sports decisions. Moneyball showed how the Oakland A's ushered in a new era in baseball that involved prioritizing certain stats, like on base percentage, over how a player's body looked or how hot his girlfriend was.

Today, we think the advantage has swung in the other direction. With everyone looking at advanced metrics and data analysis on a massive scale, people have forgotten that sports are played by people, and they still can only be watched by people. The box score might show that a college wideout had three catches on three targets, but closer inspection might reveal that he double caught the ball and used his body more than his hands, a red flag for success at the NFL level. We think ball-knowers (that's you) paired with an AI assistant can get an edge in sports analysis by working together. That's where SportsBuggy comes in. SportsBuggy is the guy behind you with the glasses and the clipboard, who when you point to a guy and say "he looks explosive out there", tells you that his name is Oliver Gadsden and he was a 5th round draft pick, and is available in 88% of fantasy leagues.

SportsBuggy is the Jonah Hill to your Brad Pitt. You supply the hunches, and SportsBuggy will give you the best bets, as well as the relevant data. He'll keep you honest, and you'll keep him informed on what's really happening on the field. Start by picking a game and telling SportsBuggy your hunch, and he'll take it from there.