#lolsumo

We are incredibly proud to share the news on the closing of our A Round. Here is our official Press Release which you can also find on techcrunch.com and other tech magazines:

eSports Startup, DOJO Madness, raises $4.5 Million Series A Round to Expand its Machine Learning Data Services

Berlin, Germany, May 19, 2016 

Berlin-based eSports startup, DOJO Madness, announced today that it has raised a $4.5M Series A round. The round was led by March Capital Partners, with the Investment Bank of Berlin (IBB), and existing investors London Venture Partners and DN Capital, participating.

DOJO Madness has created a set of tools that harness the power of the latest innovations in machine learning to help gamers improve their skills. DOJO’s first product, LOLSUMO, a real-time coach for League of Legends, provides personalized guidance and actionable analysis while considering the user’s team-mates and opponents. With over 500,000 app downloads since launch last September, the app delivers insights for 70k daily active users, and is a  top rated League of Legends app on both the App Store and Google Play.

The new funding round will be used to expand DOJO’s coaching apps to other eSports titles, as well as to expand into new data services in eSports. League of Legends, the world’s most popular game sees over 67 million people playing each month.

The number of people both watching and playing different eSport games continues to grow at an unprecedented rate. From 2012-2017 the eSports audience is expected to grow 20% (CAGR) and revenues are projected to increase 29% (CAGR)*. “We launched our first coaching App, LOLSumo, a year ago, and we have been overwhelmed by the positive user feedback. With our new funding, we will continue to add great features, and launch our service for additional eSports games,” says Jens Hilgers, DOJO Madness CEO.

“We have monitored the explosive growth of eSports, and believe that the future is in data services,” says Gregory Milken, Managing Director of March Capital Partners. “The machine learning technology that Dojo Madness brings to the table is a game changer for League of Legend players, and I can’t wait to see it rolled out to additional games.”

DOJO Madness was founded in December 2014 by Jens Hilgers, eSports veteran and Founder of ESL, Markus Fuhrmann, co-founder of Delivery Hero, and Christian Gruber.

About DOJO Madness

Passionate gamers by heart, DOJO Madness is a team of eSports veterans building next generation tools that help gamers master their play. DOJO’s technology-driven products solve real issues gamers and community are facing every day.

*Source: Global Growth of eSports Report. 2015 Newzoo. More info can be found here.

Press Contact:

Kalie Moore

DOJO Madness Head of Communications

[email protected]

+49 174 184 0124

Berlin, 03/03/2016

User growth continues to speed up yet again for LOLSUMO. We grew our Daily Active Users to 30,000 just two months into 2016. This tripled the numbers from our December update.

We expect our DAU to continue along their present upward trend with our new Superlatives feature as well as through polishing and incrementally improving our current features.

Superlatives provide League of Legends players with their best and worst performances across distinct categories. As an example, “Signature Champion” shows the top five champions that you win most games with. “See No Evil” makes you aware of the five champions that you placed the least wards with.

This allows our users to see interesting and fun facts about their own play over a longer period of time. They are able to spot key information that helps to determine their strongest champions. Users are also enabled to determine the champions they play often but need to improve on. Superlatives furthermore serve to highlight hidden discrepancies in your play style. A support player might realize that he places less wards on Thresh than with Nami or Morgana and correct this mistake.

We would like to thank our community for the continued support in comments and app ratings:

LOLSUMO is putting the finishing touches on a new sophisticated system to calculate your personal best build for your current match.

Becoming better at League of Legends depends on a lot of factors like discipline, time investment, acquiring new skills and refining existing ones. The same is true for LOLSUMO.

LOLSUMO’s item builds are powered by big data. Every build is calculated specifically towards your current matchup. We are factoring in data like the ranks of everyone in the match, all champions involved, the lanes these champions will be on, and a lot of additional information. This system is right at the heart of LOLSUMO, the engine that powers it all. Engines can be tweaked and tuned, and us being DOJO MADNESS after all, we like to go a step further.

In order to come up with potential item builds, you can gather a lot of data focusing on how often an item ends up winning.

We have been able to put a number on how good an item build actually is. That is understandably a lot more complex, but also a lot more sophisticated than the method mentioned before. We are able to rate item synergies as well as factor in your champion, your lane and your opponent. As an example, we know that for Champion A, “Item 4”  is strong when used with “Item 67” against Champion F. Being able to put a number on this small piece of the puzzle allowed us to rate complete builds.

Once we were able to do that, we unleashed the (data-) kraken and collected a metric ton of information to calculate the best item builds used for a specific champion against a specific opponent on a specific lane.

This does not mean that there may not be better builds around that no one has found yet. The beautiful thing here is that as soon as someone tries them, we will know them, too - and by extension, any of our users who finds himself or herself in the same matchup. We are constantly processing big data and updating our guides accordingly to give you the best one possible.

Why is this better than our previous system? 

One example: 

Suppose there is a true killer build, but the player using it loses his match due to a teammate disconnecting, and he never tries it again. When purely looking into win/loss statistics, you will miss out on this build. Not so with our system. 

And the cherry on top of our cake: We have mathematical proof that our rating system works. We test it blindfolded against reality, and when it says a build is good, reality thinks so, too.

That is all for now, dear readers. 

Youngbuck - Coach for G2 Esports: “You finished week 1 with 2-0, but did you think at any point that you might lose one of these matches?”

Kikis, Top Laner for G2 Esports: “Who do you think are your biggest rivals at TOP lane?”