HOW BIG DATA REVOLUTIONIZING THE FUTURE OF E SPORT

BRADLEY NIKOLAS 施金龍
D0726892

Participating gamers enjoy $50,000 (£36,000) salaries, while competing for a prize pool totalling a cool $3.5 million (£2.5 million).
Just as data analytics is helping golfers, athletes, F1 teams, football clubs, and cricketers improve their performance, esports is well-placed to follow suit. Nowadays, creating pre-game strategies, analysing matches post-game and guiding training regimes are all informed by access to match footage and data analysis online.
“Back when I started there weren’t really many resources [for data],” says esports broadcaster and analyst Harry Thomas (aka Lethal_HT). It’s why specialised gaming analytics firms have sprung up, not only capturing the vast wealth of match information available, but using algorithms to automatically suggest improvements.
Mobalytics[1] pitches itself as the first ‘personal performance analytics platform that highlights your strengths and weaknesses to help you boost your game.’ Devoted to League of Legends, it measures in-game performance for different skill sets such as farming, teamplay and consistency and then generates a personal ‘GPI’ (Gamer Performance Index) score. This translates into ratings for a player’s strengths and weaknesses, numbers that can then be crunched to produce actionable advice on how to improve performance.
Analysing Game Data For Overwatch Can Reveal Weaknesses That Can be Corrected by Bespoke Training Regimes.
Analysing game data for Overwatch can reveal weaknesses that can be corrected by bespoke training regimes.
In God we trust, all others must bring data
“League of legends is an incredibly complex game,” says Amine Issa – co-founder and War Chief of Science at Mobalytics, and ex-Fnatic player. “You have 139 champions, all sorts of permutations that constantly occur, the game is constantly changing – it’s chess on steroids in terms of strategic branching paths.
“The tools [to measure it] get bigger and better – rather than me printing out a stack of papers and doing the analysis myself, we can train a computer to think like our team and to process a vast amount of data for different players, provide that information and do analytics for a huge amount of people all at once.”
Using data-based machine learning in this sense is not so much about replacing human intuition as augmenting it with a second opinion to guide practice.
“There’s this great saying that goes – In God we trust, all others must bring data,” Issa adds. It’s also employed to automatically moderate chat systems to filter out inappropriate comments.
By Using Analytics, Winning Becomes More About Insight Rather Than Luck.
By using analytics, winning becomes more about insight rather than luck.
Many esports streamers use StreamHatchet, software that provides live dashboards of viewer counts, comparison between streaming sessions, information about the audience reached, and team analytics. The firm has dedicated technology and its data teams are looking at how to further use data analytics and hybrid cloud computing to enhance their events.
“Data analysis of the match data is certainly a growth area,” says James Dean, UK Managing Director of ESL. ESL employs data analytics to help regulate and highlight any potential wrongdoing, whilst also allowing above board betting to work.
“As the stakes get bigger in esports and the prize money is getting bigger, and the number of tournaments around the world grows, we need to make sure everything is safe and secure in terms of the integrity of the tournament itself. A huge amount of the data is used here – not only are we looking for anomalies for play in tournaments, especially if they are online, but we are also using that data in the gambling industry. There’s a huge industry growing just purely from that fact that data analysis exists in the first place.”
One of the ways in which ESL stays at the cutting edge of data analytics is by working with universities to collaborate on research. One result of this collaboration is Echo, a data-driven production tool launched last year provides tournament organisers with the ability to automatically detect extraordinary plays and events in live matches and generate graphics designed to help an audience appreciate what is happening.
Leicester university is also researching the relationship between data analytics and esports. All of these analytics techniques will help create new regulatory standards for future esports events.”
Cloud computing and data analytics is embedded into the core of esports.

Comments

  1. Ariel Sonbay 黎滿華June 7, 2020 at 12:37 AM

    Ariel Sonbay
    D0731711
    Comment #3

    It is a really interesting and good choice of article, since gaming is one of my interest. After read this article, I think become professional gamers is not a bad choice in near future. Since, e sport become one of the famous trends that happen now, especially for teenagers and some adult. When I was knowing about professional gamers, I think this job is not a serious job, because all they do is play a game, and I think I can do it too. But, before every game they will compete in, they have to training like 6-9 hours a day, and also watch their opponent post game, and how is their strategy, and make the counter for their enemy. It is really need dedication and really good team coordination and also hard work.
    E sport become more and more famous in this modern era. And this make gaming become more serious business. Before this era, gaming is considered to be our entertainment and relaxing time. But because of this growth, gaming is now a professional job and entertainment not for relaxing thing to do, but entertainment as competition like how we watching NBA and F1 or a world cup. Like in this article, how they use big analytic data for winning a game, or beat the enemy. It really shows how advance e sport now. And more and more new game launched now, so it means e sport is still growing and will become one of famous competition that will be held in the world.


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