Overflow Field for the Big Data Derby

Horse Racing NFT-game OHRAC: Own, Manage And WinA total of 106 submissions were received for the inaugural Big Data Derby, a competition requiring entrants to provide a machine-learning model to analyze all manner of data regarding horseracing tactics, strategies and path efficiencies.

Sponsored by the New York Racing Association, Inc. (NYRA) and the New York Thoroughbred Horsemen’s Association (NYTHA) in partnership with the Kentucky Thoroughbred Association, Equibase, The Jockey Club, Breeders’ Cup and the Thoroughbred Owners and Breeders Association (TOBA), the Big Data Derby launched with a goal of better understanding the vast data set at hand to racing organizations, and to potentially develop new ways of racing and training in a highly traditional industry.

“Our main objective with this competition was to see if qualified data scientists could utilize horse-tracking data to improve the sport’s collective knowledge in key areas such as equine welfare and performance,” said NYTHA President Joe Appelbaum.

The Big Data Derby offers a total of $50,000 in prize money with $20,000 awarded to the winner and $10,000 each to the next three placings. The competition is held on Kaggle, a global data science platform with over 500,000 active users where participants compete by using machine learning to solve problems ranging from the trivial to the extremely complex.

A total of 9,349 potential competitors accessed the competition’s four data files providing NYRA racing data from 2019 along with in-race horse tracking information. A wide and varied range of submissions offered models that shed light on injury prevention, jockey decision making metrics, race tactics, track bias and more. An open notebook of user-created content and data can be viewed at: https://www.kaggle.com/competitions/big-data-derby-2022/code.

“The response in both participants and submissions highlights the interest in alternative data sets and bodes well for potential future applications. We are very much looking forward to the results of the competition,” said Joe Longo, NYRA’s General Manager of Content Services.

A judging committee will score the submissions based on four categories – Innovation [25 points], Relevance [30 points], Competence [25 points] and Presentation [20 points]. Winners will be announced in early December.

Source: NYRA

Best Way to Win a Horse Race? Mathematicians may have the answer

The best way to win a horse race? Mathematicians may have the answerAttention racehorse jockeys: Start fast, but save enough energy for a final kick. That’s the ideal strategy to win short-distance horse races, according to the first mathematical model to calculate how horses use up energy in races. The researchers say the approach could be used to identify customized pacing plans that, in theory, would optimize individual horses’ chances of winning.

Every racehorse has different capabilities. Like humans, some excel at sprinting, whereas others are marathoners. Figuring out which is which, and how to pace them, can be the difference between faltering in the final furlough and taking home the Kentucky Derby’s $1.3 million winner’s payout. Jockeys and trainers have traditionally relied on centuries of experience, data from previous races, and intuition to plan their races.

Amandine Aftalion, a mathematician at the School for Advanced Studies in the Social Sciences (EHESS) in Paris, thought she could add to that. Since 2013, she has been analyzing the performances of world champion runners like sprinter Usain Bolt. She’s found that short-distance runners tend to win when they start strong and gradually slow down toward the finish line. But in medium-distance races, such as the 1600-meter, runners perform …

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