DataHack Premier League 2018
About the Event
Players....ready
Umpires....ready
Sponsors....ready
Fans....ready
Data Scientists....are you game?
Analytics Vidhya presents the largest sports analytics competition - the DataHack Premier League! Use your data science skills to navigate through ball-by-ball action to predict the highest run getter and the highest wicket taker in each game of Indian Premier League (IPL) 2018. Lucrative prizes are up for grabs so step on to the pitch and smash your way to the top!
Basic Information
What is Indian Premier League?
From casual to ardent cricket fans, the Indian Premier League (IPL) has captured the world's attention in the last decade. It's the shortest format in the game and it's unpredictable nature is what makes it so appealing to the fans.
Season 11 of IPL begins this year in April and Analytics Vidhya has the perfect hackathon to whet your appetite! We bring you an opportunity to put your data science skills to the test in the DataHack Premier League.
With the amount of data points involved in the modern game, predicting each facet of a match can be a daunting challenge. You will need to dig deep and find creative ways to engineer innovative solutions that stand out from the competition. Are you game?
The cricket fraternity has tasked you to predict individual performances for all players. For each match you need to forecast the following 3 metrics:
- Runs Scored by every player
- Wickets taken by every player
- Total extras for each match
Prizes:
The total prize money for the contest is INR 3,00,000.
Prize money would be separate for the tracks - orange cap, purple cap and Extra Runs
Prizes for orange cap holder table (most runs)
Rank 1: INR 1,00,000
Rank 2: INR 30,000
Rank 3: INR 15,000
Prizes for purple cap holder table (most wickets)
Rank 1: INR 1,00,000
Rank 2: INR 30,000
Rank 3: INR 15,000
Prizes for Extra Runs table - INR 10,000 (Winner Prize)
Winners
Winners for orange cap holder table (most runs)
Rank 1: Ketan546
Rank 2: Praju
Rank 3: Dhruva
Winners for purple cap holder table (most wickets)
Rank 1: Dhruva
Rank 2: Ketan546
Rank 3: Nilabha
Winners for Extra Runs
Here Are The Latest Standings For TopRun-Scorers & Top Wicket-Takers of IPL 2018, As Predicted By The Particpants: https://datahack.analyticsvidhya.com/dhpl/datahack-premier-league/dashboard/
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Spaces You Can Join
Data Science
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Generative AI
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Frequently Asked Questions
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There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
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