Today, I’m please to announce that I now have access to a select number of matches, with the opportunity to purchase further matches in future. This is an enormous breakthrough for tennis, and for Gamesetmap!<\/p>\n
Generating the ball trajectory from the raw Hawk-Eye data was made possible with the help of Darren\u00a0O’Shaughnessy<\/a>. Darren runs a small consulting company in sports analytics and informatics called Ranking Software<\/a>.<\/p>\n Late last year I created a 3D Diorama using Hawk-Eye player tracking data from the same matches (see below):<\/p>\n The two datasets (player tracking and ball trajectory) provide an insight into tennis matches that has rarely be seen before.<\/p>\n Stay tuned over the next few months as I dig through these fabulous datasets to uncover the spatial patterns that exist in tennis.<\/p>\n Visualisations created using 3D\u00a0ArcGIS<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" It’s been a little quiet around here recently, so I wanted to update you all on what’s been happening at Gamesetmap. The good news is there has been plenty of great work going on. As many of you know I … Continue reading ![\"Hawk-Eye](\"http:\/\/gamesetmap.com\/wp-content\/upLoads\/2014\/09\/Hawk-Eye_DataDump.jpg\")
<\/a>Let the Hawk-Eye data mining journey begin. A screen dump of the raw ball trajectory data from Hawk-Eye.<\/em><\/p>\n![\"A](\"http:\/\/gamesetmap.com\/wp-content\/upLoads\/2014\/02\/Diorama.gif\")
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