By Duncan Geere
Those new to watching competitive eSports games like Dota 2 and League of Legends often complain that the action is hard to follow. Sometimes, it’s hard to follow even for people who been playing it for years.
But a team of researchers from Sweden, Denmark and Germany has developed an analytical model that can help commentators (or casters, as they’re known in eSports) break down exactly what’s going on – and even predict who’s going to win.
The model is based on the players’ behaviour throughout the game – specifically, the results of every small skirmish from the very start. It considers damage dealt, abilities used and the rewards gained by both sides in the aftermath of the fight. Those statistics are then combined with machine learning techniques to predict who’s likely to win.
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It was configured and tested using replays of more than 400 games of Dota 2. The game’s digital nature means that it’s possible to get much more detailed statistics from it than from, for instance, a real-life football or tennis match.
The details of its inner workings were published in a paper that was presented at the MIT Sloan Sports Analytics Conference in Boston.
“The model …read more
Source:: techradar.com – Gaming
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