Whenever you play a game of Dota 2, League of Legends or any other esports game, your behaviour and that of your teammates is recorded in great detail. The data is stored in replay files and made accessible online, providing us with the opportunity to not only visualise and analyse what is going on during matches, but also to dive into the action post-match at a level that is unprecedented outside of esports.

Imagine if physical sports had the kind of detailed tracking that takes place in a digital game – it would revolutionise sports analytics. For many games such as Dota 2, we even have VR viewing modes that literally put you as observer in the playing field during match runtime.

The amount of data being generated from esports matches is huge. For instance, Dota 2 generates detailed gameplay data for over a million matches per day. Every single player action from all of these games can be download by the esports community, to analyse. The sheer size of data involved puts games on par with other big data accumulating fields like astronomy and finance.

While the data is available and the esports community has a growing appetite to engage with data, there are not many good tools around for working with it.If you are a professional team or a major broadcaster you may have an analyst working for you, dissecting matches and providing detailed analysis. However, the vast majority of the 320 million-strong esports community is reliant on a few analysis providers and the tools built into the game clients.

The vast majority of the esports community is reliant on a few analysis providers and tools

If you are a professional team or a major broadcaster you may have an analyst working for you, dissecting matches and providing detailed analysis. However, the vast majority of the 320 million-strong esports community is reliant on a few analysis providers and the tools built into the game clients.

Current esports games have made great strides in providing great visualisation of metrics during and after matches. But, in terms of actual analysis of in-game performance, or the ability to share data and visualisations, we still have a long way to go.

This problem is one of the key areas for us at Digital Creativity Labs (DC Labs) and the Centre for Intelligent Games and Games Intelligience (IGGI). DC Labs is the largest games research centre in the world, with over 30 scientists and dozens of PhD students, all working on games technology.

Together with tournament organisers, broadcasters, teams, coaches and others from esports, we are working on democratising the access to analytical tools and techniques to help anyone extract value from gameplay data. This ranges from data platforms such as Dotabuff and OpenDOTA, developers who want to understand player behaviour, streamers and youtubers to improve their coverage, all the way to our kids who want to share their stats with friends and maybe pick up some maths and data science along the way.

These challenges cover lot of different stakeholders with varied needs and requirements. To develop solutions that are flexible, and tailored to non-experts, you need to think about adaptive interfaces. Within AI and user experience research, the notion of using AI assistants to work with the user directly to help with tasks is particularly interesting.

We are also exploring recommender systems that assist with data analysis interpretation and generation of data-drive stories. In this context, machine learning has some exciting new application areas, such as automatically detecting ‘entertaining’ bits of gameplay among vast numbers of games, providing creative suggestions for data-driven commentary and providing on the fly coverage that intelligently adapts to a viewer’s preference.

These techniques could also radically transform production workflows in esports, especially allowing low-staffed, low-budget productions achieve a professional- grade quality of coverage. From the perspective of the player, being able to access your own data along with the ability to analyse and compare it with others, with AI assistants that help you improve, is of recurrent interest.

While physical sports are still far away from realising those levels of data analytics, esports provide a fertile ground for innovation in this space that is ready for harvest right now. In the future we think we can expect a plethora of tools becoming available that make it fun and engaging to interact with esports data.

Authors: Florian Block, Anders Drachen

Categories: Blog


ปั้มไลค์ · July 24, 2020 at 3:53 am

Like!! I blog frequently and I really thank you for your content. The article has truly peaked my interest.

Manuale Scolare · July 30, 2020 at 4:00 am

Asking questions are truly nice thing if you are not understanding
something totally, but this piece of writing provides pleasant understanding even.

Pasi in umbra dreptului/Ioan Chelaru · August 11, 2020 at 2:10 pm

Pretty section of content. I simply stumbled upon your web site and
in accession capital to assert that I acquire in fact enjoyed account your weblog posts.

Any way I will be subscribing in your augment or even I success you get right
of entry to consistently quickly.

키스방 · August 14, 2020 at 3:04 pm

You have done a great job on this article. It’s very readable and highly intelligent.
You have even managed to make it understandable and easy to read.
You have some real writing talent.
Thank you.

세부아바타 · December 28, 2020 at 10:39 pm

i like this blog very much its a ratting nice situation to

click here세부아바타

Tania Shorter · February 6, 2021 at 4:40 pm

Thanks a lot for making this available.

เกมยิงปลา · February 23, 2021 at 2:42 am

Very nice article. Thank you so much. เกมยิงปลา

ดูหนังออนไลน์ · April 5, 2021 at 4:14 am

Website developer Watch movies online Thank you space Educating And we will continue to develop

betflix สล็อตออนไลน์ · April 10, 2021 at 10:04 am

Thanks for good information and a complete website We will bring to further development in our organization.

betflix คาสิโน · April 12, 2021 at 6:35 am

Thank you

mgwin88 เเทงบอล · April 17, 2021 at 6:46 am

We are the developer of the website and the market, thanks to the quality and useful information for the organization.

mgwin88 เเทงบอล · April 19, 2021 at 4:46 am

Thanks for the good information.

928bet เเทงบอล · April 24, 2021 at 8:34 am

Thanks to a great website for allowing us to comment.

lsm99 สมัคร · May 13, 2021 at 6:12 am


betflix สล็อตออนไลน์ · May 17, 2021 at 10:41 am

Thanks for the good news and useful information.

poker deposit pulsa · June 3, 2021 at 12:17 pm

Nice Post!

Thank you for the info information, I will wait for posts like this and will read them with pleasure 🙂

lsmbet888 เเทงบอลออนไลน์ · July 7, 2021 at 1:31 pm

With good information and area, we come to learn.

ufabet168x ทางเข้า · July 11, 2021 at 11:56 am

thanks for good information left for us to read

LSM99 · July 19, 2021 at 4:18 am

Thanks for sharing a great article.
You are providing wonderful information, it is very useful to us.
Keep posting like this informative articles.
Thank you.

Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *

Read our newsletter