Our musings on all that's noteworthy in AI analytics

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Sports Analytics

How Computer Vision Has Helped Four Most Popular Sports Across The World

The possibility for Artificial Intelligence (AI) in sports has developed as a result of enormous and unprecedented data collection, fans' insatiable thirst for deeper insights into the games and athletes they love, and understanding of the business possibilities of commercializing these insights.Let us look into some of the sports where computer vision is being used rapidly.

Sports Analytics

Why is golfing no more a putting Game but the other side of data analytics

Data Analytics when driven by artificial intelligence magnifies the traditional application of post-match analysis in any sport. Golf is no exception to Machine learning-based data analytics even though it is one of the oldest competitive games in the world today. Golf today is more than a pure putting experience, as talented players in closely-competed tournaments win or lose millions of dollars in a single swing! The attraction of rich golf tournaments coffers and the easy access to technology that can drive golfing talent to win big titles have changed golfing.

Sports Analytics

What is Sports Performance Analytics?

Researchers in the field of Sports Science describe performance analysis as a sub-discipline that uses ‘adaptative tools’ like human-machine instructiveness, visualization, evaluation, feedback, perspectives, generalization, and preparatory planning to study ‘variables’ and ‘fundamental indicators’ to build performance models and performance profiling. Such analysis is of critical importance to players, while coaches, performance analysts, technical staff, and managers use the data to draw insights and to manage performance in training and competition.

Sports Analytics

The Gradual yet steady rise of Tennis Analytics

The hidden complexities of the game of tennis have always been a challenge in statistical analysis of the game For example the scoring system is very complicated, while the type of playing style differs from player to player, even the surfaces that the game is played on changes throughout the year. As opposed to other games such as baseball, tennis has a variety of factors to consider for “standardizing” based on statistical analysis.The complexity is not as much as in the numbers as is the pressure of “conservatism” on the game, where even players’ “grunt’s” is considered controversial!

Sports Analytics

Batting, Pitching, or Fielding: What’s Most Important in Today’s MLB?

As the 2021 season winds up, we decided to look at what areas of the game have statistically been most important to winning. I broke the game down into three main categories: batting, pitching, and fielding. Through linear regression analysis, we will be able to see how batting average, earned-run average, and fielding percentage effect win percentage in MLB teams.
Sports Analytics

The gradual yet steady rise of Tennis Analytics

Tennis has never been entirely a numbers game traditionally. But now the Top 20 players on both the ATP and WTA tours now make use of analytics, and it is getting increasingly instituitionalized. Across the women's tour, the WTA's partnership with tech companies provides coaches with increasingly detailed statistics that can be used during on-court coaching. Private companies also queue up to provide even more video and data to players, federations and college teams.

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