![\"\"](\"http:\/\/www.ethinos.com\/blog\/wp-content\/uploads\/2011\/04\/Ethinos_Digital_Marketing_at_work.png\")
<\/a><\/p>\nSuddenly, an idea sparked in our collective head.<\/p>\n
We had heard about the collective wisdom being used to predict court cases and even a movie\u2019s run on the box office \u2013 what if we try and see, if we can predict the match outcomes based on the general online chatter?<\/p>\n We tinkered with the algorithm and did a few dry runs, after a few iterations it started working \u2018flawlessly\u2019, and thus was born theEthinos Match Predictor<\/a>. A simple tool which collated what people were talking online about various teams into the buckets of positive, negative and neutral data and predicted the match outcomes based on the respective chatter volumes.<\/p>\n The algorithm used for the Predictor was something like this<\/strong>:<\/p>\n The chance of winning for Team A = [{(A+)* \u2013 (A-)*\/(Total A)} * {(Total A)*+(Total B)*}]%<\/strong><\/em><\/span><\/p>\n Where in: It would not be an exaggeration to state that we had a dream run with the Match Predictor and managed to call 12 of the fourteen matches! Alas we aren\u2019t into betting!<\/p>\n It was promoted online solely through our respective tweets, messages, threats and coercions and soon we were able to generate some interest!<\/p>\n Apart from the prediction, the tool was also measuring a few other \u2018key\u2019 details like the popularity of \u2018Cricket\u2019 the keyword, in comparison to a few other keywords like \u2018Food\u2019, \u2018Movies\u2019, \u2018News\u2019 and most importantly, \u2018Sex\u2019. It was re-assuring to see \u2018Cricket\u2019 going strong all through the tournament with an occasional week-end topple by \u2018Sex\u2019 (we are still wondering why the search volumes for \u2018Sex\u2019 went up every weekend religiously)<\/p>\n There were many other important revelations like the online interest for \u201cDhoni\u201d went past even \u201cSachin\u201d on the eve of the final match.<\/p>\n It is rumored that this tool resulted in huge losses to all those bookies who had not \u2018liked\u2019 the Ethinos page on Facebook<\/a> and yes we DID get a few \u2018pokes\u2019 by super hot blonde fans but as you all may know, we were too busy with our work and clients to care!<\/p>\n<\/a><\/p>\n
\n\u2022\t(A+)* = Positive Chatter Volume for Team A
\n\u2022\t(A-)* = Negative Chatter Volume for Team A
\n\u2022\t(Total A)* = Total chatter with mentions for Team A
\n\u2022\t(Total B)* = Total Chatter with mentions for Team B<\/span><\/em><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n