Using Predictive analytics to craft winning strategies
See scores, statistics and analysis of matches come to life with IBM SlamTracker. Aces, serve speed, winners and all other key statistics are rendered in realtime, giving viewers an immediate and accurate visual sense of a match in progress.
In 2011, IBM enhanced SlamTracker by adding a "Keys to the Match" feature, built on IBM's predictive analytics technology (SPSS). This mines over 7 years of Grand Slam Tennis data (~39 million data points) to determine patterns and styles for players when they win. Prior to each match, the IBM Keys to the Match system runs an analysis of both competitors' historical head-to-head match-ups, as well as statistics against comparable player styles, to determine what the data indicates each player must do to do well in the match.
Fans will find their voice within SlamTracker, adding comments about featured matches through Facebook connect and a promoted Twitter match hashtag.
Following our successful trial on Court 18 last year, we're extending the trial of Player Movement Tracking to perhaps the most iconic tennis court in the world – Centre Court. Using smarter camera technology, we can now track how players move on the court: See who the fastest movers are; Record how far and in what direction they run; Watch how their performance changes set by set, match by match, and learn more about how much pure fitness and stamina can influence a game of tennis.
Known as IBM SecondSight, the system can provide new data that could help players, coaches, commentators and fans alike, and add a new dimension to our understanding of the science of tennis.
Brought to life through 3D visualisations and onscreen overlays, all Centre Court matches will be tracked in this way.
To learn more about any of the IBM business or technology solutions behind Wimbledon