Overwatch starts using AI to identify the world’s best players
AI is going from beating human gamers to coaching them to finding them ... and this is just the beginning.
Key takeaways
- The new technique will be used to analyze the performance of competitors in E-Sports championship Overwatch League and create an objective ranking of the most skilled players.
- Although all available metrics will contribute to the final rankings, a pool of roughly 30 will have a larger impact on positioning.
- For the uninitiated, Overwatch is a first-person shooter that pits two teams against one other across a handful of game modes, such as capture the point and protect the payload.
Cite or link to this article
Griffin, M. (2021) 'Overwatch starts using AI to identify the world’s best players', 311 Institute, 30 May. Available at: https://www.311institute.com/overwatch-starts-using-ai-to-identify-the-worlds-best-players/ (Accessed: 1 October 2026).
In the past couple of years we’ve seen Artificial Intelligence’s (AI) thrash human gamers in everything from chess, Dota and poker, to Go and Starcraft. And in some cases those same AI’s have been trying to identify weaknesses in human gaming strategies and then started coaching E-Sports gamers how to win. And even more oddly we’ve then seen the US military using gamers brainwaves to train robots to be better soldiers, it’s an odd world we live in.
As for what’s next, well now Blizzard Entertainment has joined forces with IBM to develop a new AI system that ranks the best Overwatch players in the world. The new technique will be used to analyze the performance of competitors in E-Sports championship Overwatch League and create an objective ranking of the most skilled players.
According to an IBM blog post, the Overwatch Power Rankings will be based on upwards of 360 performance metrics including damage per second, healing, weapon accuracy, and so on, with roughly 1.8 million data points collected in any given match.
All this data will be aggregated, organized and then analyzed to determine the correlation between particular in-game actions and the eventual match outcome.
IBM has also applied machine learning techniques to an existing dataset to determine which statistics best reflect the quality of players. Although all available metrics will contribute to the final rankings, a pool of roughly 30 will have a larger impact on positioning.
For the uninitiated, Overwatch is a first-person shooter that pits two teams against one other across a handful of game modes, such as capture the point and protect the payload. The teams are made up of six different characters, or heroes, each of which has a unique loadout, moveset and play style.
Until now, the fast-paced and chaotic nature of the game, as well as the various disparities between heroes, has made ranking players by performance a challenging task.
According to Jon Spector, VP of Overwatch Esports at Blizzard, while esports pundits are able to draw on a wealth of knowledge to provide context for viewers, the new system contributes additional color to analysis that would otherwise be impossible.
“We’ve got really talented analysts that follow our players and teams, but there is so much happening in these matches, no human being could possibly observe and evaluate it all,” he said, adding “We needed a way to capture and analyze every move from every player and feed all that insight into a ranking system that was totally objective and reliable.”
Beyond giving fans something to pick apart, the Power Rankings is also expected to act as a useful resource for players and coaches, who will be able to use the insights to hone their gameplay and tactics.
The first edition of the Overwatch Power Rankings was published last week, the first day of the new season, and will be updated weekly after each new round of fixtures.
What this means for your organisation
Measurement now beats opinion.
Blizzard and IBM built the Overwatch Power Rankings from upwards of 360 metrics, with roughly 1.8 million data points per match. Jon Spector said no human could observe and evaluate it all. This is narrow AI doing one job well, at a scale people cannot match.
Ranking feeds coaching and training.
The rankings are expected to help players and coaches hone their gameplay and tactics. IBM used machine learning on an existing dataset to find the roughly 30 metrics that count most. The same pattern points to AI coaches that guide people at work as well as in games.
Data becomes the real asset.
The rankings are updated weekly after each round of fixtures, so the picture keeps changing. Any organisation that captures detailed activity data could score performance in a similar way. The hard part is choosing which measures matter and earning trust in the result.
Three questions for your next leadership meeting
- Which of our roles produce enough data to be measured this way?
- Who decides which metrics count most, and can we explain why?
- Would our people accept an AI ranking as fair and objective?
The trends and technologies behind this story
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.
FAQ
Why does this matter?
AI is going from beating human gamers to coaching them to finding them ... and this is just the beginning.

About the author
Matthew Griffin Founder, President and Futurist, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Ai on the ibm cloud for activision blizzards overwatch league developer.ibm.com
- Overwatch Power Rankings overwatchleague.com
Source: first published by the 311 Institute on 30 May 2021. Cite as: Griffin, M. (2021). Overwatch starts using AI to identify the world’s best players. 311 Institute. https://www.311institute.com/overwatch-starts-using-ai-to-identify-the-worlds-best-players/
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