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	<h1>Sports Analytics And Predictions</h1>
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			<span class="post-date">Jul 20</span>

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				Posted by <a href="/forum/user/950-saurabh-rajput">saurabh rajput</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p class="MsoNormal">Sports analytics have become very popular now days. Predicting winners, player performance and team selection has taken a new form with the help of sports analytics. It has now become a new way of making money and building reputation in sports world. Analysts use the previous data to make predictive models and make future prediction using those models. There has been a shift from qualitative data that was traditionally used to quantitative data. Sports analytics have not been so easy in all sports. American Football, which has large number of variables that can change overtime, faces some difficulty seeking advantage of analytics. NFL teams hardly play 16 games a season implying very small sample size; it is very hard to get some pattern of data. Knowledge of the game and watching the games is equally as important as collecting data. In fact it is part of the data. Read more at:<a href="https://channels.theinnovationenterprise.com/articles/how-people-are-beating-the-bookmaker-with-sports-analytics" target="_blank">https://channels.theinnovationenterprise.com/articles/how-people-are-beating-the-bookmaker-with-sports-analytics</a></p></div>

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		<a href="/blog/tags/sports-analytics">
		<span itemprop="keywords">Sports Analytics</span>
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		<a href="/blog/tags/team-selection">
		<span itemprop="keywords">team selection</span>
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		<a href="/blog/tags/sports-world">
		<span itemprop="keywords">sports world</span>
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		<a href="/blog/tags/big-data-1-2">
		<span itemprop="keywords">Big Data</span>
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