WinterGreen Research announces
that it has published a new study Sports Analytics: Market Shares, Strategy,
and Forecasts, Worldwide, 2015 to 2021. The 2015 study has 472 pages, 177
tables and figures. Worldwide markets are poised to achieve significant growth
as the cloud computing for utility infrastructure and the tablets and smart
phone communications systems make training information more cogent and more
available, remaking all sporting everywhere.
Information services will
leverage automated process to leverage cloud computing: services The value of
sports analytics is the predictive capabilities provided. The best sports teams
are the ones using the power of real-time information to their advantage. What
to measure? What real time information is the best? Can the players game the
analytics systems?
Read
Complete Report with TOC @ http://www.radiantinsights.com/research/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-to-2021
Lets start with the story of Babe
Ruth. The “Babe” used to come to every at bat with the desire to win the game.
So early in the game, aware that at the end of the game it would fall on him to
win the game, the “Babe” would deliberately strike out on pitches that he
really could hit. Later in the game, the pitcher would remember the pitches
that had gotten the “Babe” out and “Babe Ruth” could hit with ease, winning the
game defying the statisticians.
So, Babe Ruth used sports
analytics in the 1930’s in reverse, hoping to entice the pitcher to throw that
very pitch he could hit in a tight situation later in the game. His very
success illustrates that in sports analytics sophistication is needed. For
sports analytics to track Babe Ruth, it would have been necessary to look at
the pitches he could hit at the end of the game, not just everything that came
at him. How sophisticated is that? You have to know your players to do good
sports analytics.
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