Our challenge? Source data directly from the game servers, manage and transform it into a standardized format, and deliver it to our network of betting and media customers, all in real time.

So how is the GRID Data Platform preparing to handle millions of live data points per second, across multiple concurrent tier-one tournaments?

Building for Scale: When Global Esports Collide

Capturing data from multiple global tournaments isn’t simply about throughput; it’s about synchronization at scale. GRID’s data infrastructure is engineered to process millions of data points at once – one game of League of Legends Esports generates more than 1.2 million events that GRID captures live, all structured and distributed within milliseconds.

The platform’s architecture is built for redundancy, high availability, and automated scaling  meaning it can handle simultaneous tournament loads without latency spikes or loss of integrity. 

Whether it’s a triple-overtime CS2 final or a LoL Worlds semifinal running in parallel, GRID ensures that every kill, assist, and round result is captured, validated, and broadcast as structured data in real time.

Real-Time Reliability – Integrity by Design

In the esports betting ecosystem, data accuracy is everything. Even a fraction of a second delay or a missing event can translate to incorrect odds or unfair settlements. That’s why GRID’s systems are ingestion-first and verification-driven, ensuring each event is cross-validated against multiple checkpoints before leaving the platform.

By working directly with official tournament servers and rights holders, GRID guarantees that the data powering odds, visualizations, and broadcasts originates from the authentic in-game source — not scraped feeds or spectator views. This ensures:

• Integrity – Server-level data eliminates human error and manipulation risks.
• Security – Encrypted pipelines protect every packet from capture to distribution.
• Fairness – Partners can confidently price and settle markets knowing the data is authoritative.

Speed that Shapes Experiences

GRID’s live data distribution is built for sub-second latency, allowing sportsbooks to offer micro-markets such as “First Blood,” “Next Roshan,” or “Round Winner” with complete confidence. For media and broadcast partners, it means real-time visualizations, predictive insights, and automated storytelling all synchronized with the live action.

When two major tournaments happen at once, speed isn’t a luxury; it’s a necessity. GRID’s globally distributed architecture ensures data packets reach end users instantly, no matter where the match or bettor is located.

The Power of Official Data

In esports, there’s only one way to guarantee integrity, accuracy, and commercial sustainability: official data.

Unofficial or scraped data feeds often come with missing context, human latency, and no guarantee of compliance. Official data, however, is structured, verified, and rights-holder-authorized — the foundation that powers legitimate esports betting, media coverage, and fan engagement worldwide.

That’s why GRID’s partnerships with publishers and tournament organizers are critical. They ensure that every GRID-powered event in Chengdu, from LoL Worlds to IEM to BLAST  is backed by data you can trust.

GRID – Bet on data.

Three events. Millions of fans. One platform ensuring every moment, stat, and signal reaches the world in real time. The GRID Data Platform strives to define what real-time means for an industry built on milliseconds.

Because in Chengdu, when the world’s top teams take the stage, the data behind the game must perform just as flawlessly.If you are interested in getting access to official esports data reach out to data@grid.gg

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Berlin, June 17, 2025 — GRID, the gaming technology platform powering official live data products for Riot Games, Ubisoft, and more, has unveiled Game State, its next-generation Widgets product — a mobile-first, betting-centric experience that unlocks new ways to engage and monetize esports content. GameState builds on GRID’s existing Widgets product with new applications and a consumer-facing interface — presenting fans with a range of live match data from top esports titles.

Designed for the in-play era, Game State offers a compact, all-in-one interface that gives sportsbooks, media, and fan platforms a complete, real-time snapshot of the match. With a single integration, partners can now access widgets offering:

• Mobile-First Interface: Vertical and responsive viewing built for how esports fans watch and consume content – on their smartphones.
• All-in-One View: Capture match stats, score, economy, timeline history, win probability, and more in a modular dashboard.
• Name, Image, & Likeness: GRID’s rights holder relationship allows Widgets to feature esports teams’ logotypes, players, and images.
• Mini Map: Player positions, movement paths, and heatmaps for every supported title.
• Expansive title coverage: GRID Widgets now feature an official data-powered solution for CS2, Dota, League of Legends, VALORANT, R6, PUBG, and more.

“With Game State, we’re bringing scoreboards, stats, maps, and momentum into a single, sleek experience — optimized for mobile, and purpose-built for the way esports fans and bettors engage today,” said Mikael Westerling, Chief Sales Officer at GRID.

The Widgets are debuting ahead of the two highly anticipated esports events – CS2 Major Austin – the first Counter-Strike 2 Major in North America, and VALORANT Masters Toronto – one of the three flagship tournaments on Riot Games’ VCT circuit, both taking place in June. GRID holds the exclusive official data rights for both events, ensuring unmatched integrity, speed, and granularity of data powering the widgets.

For sportsbooks, Game State helps operators drive new player acquisition, retention, and betting activity through stats that support pre-match engagement and live models to enhance the in-play experience for bettors. 

GRID Widgets are available now for GRID partners across betting, fantasy, and fan experiences.

GRID’s growing product ecosystem, including GRID Data, GRID Stream, GRID Insights, and now, the improved GRID Widgets, supports a complete end-to-end stack for esports rights holders, platforms, and betting operators, with more products coming soon. 

To learn more about the new Widgets, visit: https://grid.gg/widgets/

For partnership inquiries: data@grid.gg

About GRID Esports

GRID is a technology platform specializing in official esports data and infrastructure. Trusted by industry leaders like Riot Games, KRAFTON, and Ubisoft, GRID provides easily deployable in-game data solutions and a powerful global distribution network for game publishers and tournament organizers. The platform powers data access, streaming, and innovative data-driven products for professional teams, sportsbooks, media, and other ecosystem stakeholders. GRID’s cutting-edge technology and unique expertise enable it to unlock the potential of in-game data for everyone.

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GRID Insights transforms raw gameplay data into dynamic, predictive insights in milliseconds — surfacing real-time narratives like player streaks, weapon stats, and record chases, all tailored to the stream’s brand and audience.

“With GRID Insights, we’re building the storytelling engine of live esports, powered entirely by official data,” said Moritz Maurer, GRID’s CEO. “We use official in-game data and real-time pipelines to generate predictions, contextual stats, and behavioral patterns that previously required an analyst team. Now it’s automated and scalable, enabling our partners to create more immersive, informative, and engaging experiences that today’s digital-native audiences expect.”

Thanks to GRID’s deep partnerships with top game publishers and tournament organizers, Insights is built on structured, official data, enhanced by large language models (LLMs), and available via plug-and-play SDKs or APIs. The product supports major esports titles including CS2, Dota 2, League of Legends, and VALORANT, with full customization across branding and output formats.

GRID Insights made its live debut during the Champion of Champions Tour Season 3 (CS2), with broader adoption already underway. Among early adopters is the European Pro League (EPL), now integrating GRID Insights into its tournament broadcasts.

“GRID Insights is a game-changer for how fans engage with the action,” said Oleksii Krasnikov, CEO of EPL. “At EPL, we’re always looking for new ways to elevate the viewer experience—and with GRID Insights, the instant, story-driven context keeps fans both informed and immersed. Whether you’re a dedicated follower or a casual viewer, it makes every moment more exciting.”

The launch arrives as global esports betting revenue is projected to surpass $2.8 billion in 2025 (Statista), driven by a rising generation of digital-native fans hungry for data-rich, interactive viewing experiences. With GRID Insights, GRID cements its role at the intersection of AI, live data, and interactive entertainment.

See the GRID AI Insights in action – https://www.twitch.tv/cct_cs2 

For more information about GRID AI Insights or to schedule a demo, visit https://grid.gg/ai-insights/ 

About GRID
GRID is the data platform powering the future of competitive gaming. Built to capture every in-game moment of esports, GRID transforms live match data into real-time value for rights holders, betting operators, broadcasters, and developers. Trusted by global leaders like Riot Games, Ubisoft, KRAFTON, and BLAST, GRID delivers official, secure, and granular data to over 400 sportsbooks and media brands worldwide. Whether enabling next-gen betting, safeguarding

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A-C

Bet Builder – A tool allowing bettors to create personalized bets by combining multiple markets within a single match.

Data Provider – A company that supplies real-time match data for odds calculation and market analysis (e.g., GRID).

D-G

Data Scraping – Refers to the methods used to source unofficial data such as OCR, Computer Vision or any other (sometimes manual) transcription of odds or data.

Delayed Esports Data – Live data with a noticeable delay from the action taking place in real time. This can be intentional (imposed by rights holders or distributors) or due to technological limitations.

Esports – Competitive, professionally organized video gaming events featuring teams or individuals in games like CS2, League of Legends, VALORANT, and Dota 2.

Esports Betting – Wagering on the outcome of professional esports matches, tournaments, or in-game events.

Esports Data – In-game data derived from competitive esports matches and competitions.

Esports Data Provider – A company that supplies real-time match data for odds calculation, market analysis, stats, predictions, and official data-powered products (e.g., GRID).

Esports Integrity Commission (ESIC) – A regulatory body focused on anti-corruption and match-fixing within esports.

Esports Predictions – Forecasting in-game outcomes or betting markets using historical data, statistics, and AI-driven models.

Esports Stats – Quantitative information about teams, players, or game performance used in analysis and betting markets.Esports-Specific Betting Markets – Unique bets available only in esports, such as “First Blood” or “Map Winner.”

Fantasy Esports – Formats where users create virtual teams based on real-world performance metrics.

First Blood – A popular betting market referring to the first kill in a match, common in MOBAs like League of Legends and Dota 2.

Game Server – The most reliable source of live esports data, only accessible through direct, official partnership with rights holders or super rights holders.

H–M

In-Play Betting (Live Betting) – Wagering on events occurring during a live match.

In-Game Data – Data sourced directly from the game, referring to actions within the game itself—player position, K/D/A, economy status, etc.

Integrity Protocols – Rules and monitoring systems designed to prevent cheating, match-fixing, and insider betting.

Live Esports Data – Data sourced directly from the game taking place and not subject to any delay compared to real-time.

Map Winner – A common market in esports where bettors predict the winner of a specific map within a best-of series.

Match-Fixing – Illicit manipulation of match outcomes for financial gain.

Micro-Betting – Wagering on small, discrete in-game events.

N–S

Official Esports Data – Data officially sanctioned by the rights holder.

Odds Provider – Firms that set betting odds, for best results, rely on an official data source.

Parlay Bets – A type of accumulator bet where all selected outcomes must be correct for a payout, often offering higher odds.

Pre-Match Betting – Wagering that occurs before a match begins, often using more static, data-derived odds.

Purple Screen of Death – A technical failure in broadcasting or data feeds, typically indicating a critical stream or feed disruption.

Real-Time Esports Data – Immediate, non-delayed data captured directly from live esports gameplay.

Regulated Esports Betting – Betting conducted through government-approved and licensed platforms.

Rights Holder (RH) – The entity holding the in-game data legal rights, usually a game developer or an appointed tournament organizer.

Roster – The list of players who make up a professional esports team for a given competition.

Sanctioned Event – An esports event officially endorsed by a rights holder.

Skin Gambling – Betting with virtual in-game items, typically outside regulated frameworks.

Streaming Feed – The live video broadcast of an esports match, often used for entertainment but not reliable as a data source.

Super Rights Holder – The creator of the in-game data IP—game developer or publisher. They control both the competitions and the game (the sport itself).Synthetic Play / Synthetic Gaming – Staged gaming events designed solely for betting.

T–Z

Trader Portal – A user interface provided to sportsbooks for setting, adjusting, and managing esports betting markets in real time.

Unofficial Data – Data sourced without sanctioned access from the rights holder, typically delayed, less granular, and less reliable.

Unsanctioned Event – Competitions organized without official rights holder endorsement.

Virtual Esports – AI-driven, digitally simulated sports events with outcomes distinct from live competition.

Wagering Handle – The total amount of money accepted in bets by a sportsbook over a given period.

Bookmark this glossary for future reference as the esports betting ecosystem continues to evolve—and follow GRID for more insights, case studies, and data-powered analysis on the future of competitive gaming and betting.

The post Esports Betting Glossary (Updated for 2025) appeared first on grid.gg.

Unlike the commonly used approach of embedding streams from public platforms, GRID Stream offers operators full control over the video experience. It delivers ad-free, brand-safe feeds — enhancing regulated betting products and improving the overall fan experience.

“Esports bettors aren’t just watching passively; they’re actively engaging, analyzing, and wagering in real time. If the stream lags or is interrupted by ads — especially during key moments — it’s not just a poor user experience. It often leads to users abandoning their bets and returning to the original streaming platform. GRID Stream solves that, offering operators faster, more engaging, and more reliable betting experiences — without the limitations of third-party embeds,” said Klas Roseqvist, Senior Sales Manager at GRID.

GRID Streaming is available now to partners worldwide via GRID’s Media Player or through custom integration options, supporting both RTMP and HLS.

For more information, visit https://grid.gg/stream/.

About GRID Esports

GRID is a platform specializing in official esports data and technology. GRID provides an easily deployable in-game data infrastructure and a robust distribution network to game publishers and tournament organizers, including industry leaders such as Riot Games, KRAFTON, and Ubisoft. GRID offers access to data, streaming, and data-powered products to professional teams, betting, media, and other data consumers. GRID’s cutting-edge technology and unique expertise enable it to unlock the potential of in-game data for everyone.

The post GRID Launches GRID Stream: Purpose-Built Esports Video Solution for Betting Operators appeared first on grid.gg.

GRID Play simplifies in-game data operations, allowing developers to focus on building exceptional games instead of investing in infrastructure development and data management.

Building on the success of GRID Esports, trusted by Riot Games, KRAFTON, and Ubisoft to manage live data at scale, GRID Play brings official, structured play data solutions to all competitive multiplayer titles, capturing data across the entire player base—not just professional esports.

Game developers can extract, manage, and distribute pre-structured play data, gaining deeper insights into player performance and meta trends. GRID Play also provides engagement tools such as leaderboards, ranking systems, public managed APIs, and player stats, enhancing interactivity within gaming communities.

All GRID Play products are available through a single integration, compatible with any platform, game engine, or backend service. Developers retain full ownership of their data and control who accesses and utilizes it.

GRID Play is integrated into the GRID Data Platform alongside GRID Esports, GRID Bet, and GRID Fan.

“For years, GRID has been the backbone of real-time data infrastructure for some of the most demanding esports ecosystems. With GRID Play, we are bringing this expertise to all competitive multiplayer games, unlocking the full potential of structured, game-wide data for developers, communities, and players. Our mission has always been to unlock the potential of in-game data for everyone—now, we are providing game developers with the tools to create richer, more immersive, and data-driven experiences at every level of competition.”
— Moritz Maurer, CEO of GRID

GRID Play is now available to all game developers.
Book a product demo online or schedule a meeting with the GRID team at GDC (March 17–21).

About GRID

GRID is the data platform powering competitive gaming—capturing every moment and play to transform in-game data into opportunities. Trusted by Riot Games, Ubisoft, KRAFTON, BLAST, and other rights holders and data consumers, GRID enables live esports tracking, casual player stat mapping, broadcast enhancements, next-gen betting, and new revenue streams across the ecosystem. By advancing technology and driving innovation, GRID is building the foundation for competitive gaming’s data-driven future.

Press Contact: Dominika Szot
Head of Marketing
Email: dominika@grid.gg

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Read the article on SBC News.

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Read the article here.

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Where does all this hype come from? Why do game publishers like Riot Games or Ubisoft believe in its strategic value? 

This article is your ultimate guide to understanding how in-game telemetry data is revolutionizing the esports industry. From tracking every move players make to analyzing strategies in real-time, telemetry data is the secret ingredient behind your favorite esports tournaments.

Whether you’re a gamer looking to up your game, a developer aiming to refine your title, or just curious about the nuts and bolts of competitive gaming, you’re in the right place. Dive in as we explore the power of telemetry data in esports and how it’s shaping the future of gaming.

If you want to learn more about in-game data, follow us on LinkedIn to make sure you don’t miss the next episode of our series.

What is in-game telemetry data in esports

Telemetry data is your game’s heartbeat. But let’s start with the basics – the definition. The full name of this type of asset class, which we’re using at GRID is “in-game telemetry data,” also known as in-game data.

In-game telemetry data in esports refers to the collection, analysis, and utilization of data generated by players’ interactions within a video game during competitive play.

This data encompasses a wide array of metrics, including but not limited to player movements, in-game decisions, timing of specific actions, usage of game resources (like ammunition, abilities, or items), positioning on the game map, and much more.

So why we’d not use live data as an alternative name? Keep reading to find out. 

Capturing the Pulse of Esports: Data Feeds

The essence of esports lies in its fluidity and the constant flux of competitive dynamics. Every click, every move, tells a story, unfolding in real-time, offering a granular view of the battlefield.

This granularity and speed of data in the digital sphere allow for a level of analysis and insight that has never been seen before in traditional sports. The in-game telemetry data can be turned into various data feeds. 

To give you a better understanding of what it means, we’ll use as an example the data feeds available on the GRID Data Platform:

Live – A set of APIs that expose live, in-game data, that updates as the actions occur. The data format is generic across all titles. Data is available with zero delay, in sync with the official stream or at a set delay. Live data is updated and available live as a game is ongoing, as well as historically, after the match has concluded.

Central – A set of APIs making key static data available. This data is deemed static as, although being kept up to date, it is not expected to be changing constantly. This type of data is central to all of GRID’s other products and services, as it links together entities (such as Series, Teams, Tournaments, etc.) and their unique identifiers (IDs).

Historical – This is a fairly broad category but at GRID, historical data is essentially the recording of the GRID Live Data Feed offering so that it can be used in the future. As a result, GRID Historical data only becomes available after the Live Data Feed for a title or data point is up and running.

Statistic – A set of APIs that externalizes data points calculated by aggregating and combining data collected across many live matches.

Predictions – A set of APIs that expose ML-based predictions of a certain outcome to occur. Each prediction has a type and a probability, the type being e.g., win and a probability being a number indicating the likelihood of the event occurring.

Video – A set of APIs that allow the consumption of video streams from tournaments directly by the clients.

Millions of data points – one source of truth.

Unlike in traditional sports, in esports there’s actually one source of truth for any game — the game server. The game server is owned by the rights holders making this type of data a part of the game intellectual property.

The existence of a game server makes telemetry data coming directly from there superior to any data coming from unofficial sources. Unofficial sources refer to data scraping, frequently from publicly available streams, or manual data collection.

The key to unlocking the potential of telemetry data.

It’s good that we’ve covered the basics but how do we actually tap into the potential of this specific data? Due to its digital nature, in-game telemetry data in esports has to be sourced with a specialized technology.

There’s no other way to get live, complete, and secure data feed other than by plugging directly into the game server. And for that you need a partnership with a game server’s owner — the rights holder in the form of a game publisher or esports tournament organizer.

A direct integration with the game server enables low-latency, granular processing of dozens of thousands of data points at once and ensures safe distribution and the most accurate data feeds.

This is exactly what’s been keeping us going at GRID. We’ve dedicated the last five years to build a platform specifically designed to cater to the unique nature of this data. It’s scalable, fast, available for both the rights holders and the data consumers, and most importantly — it’s title-agnostic.

To learn more about the specific technologies necessary to cater to the unique nature of in-game telemetry data, check out GRID Engineering Blog (pro tip — start with the article from GRID’s CTO, Chris King, The Game Title Agnostic Vision: A GRID Origin Story.)

Conclusion: The future of competitive gaming is data-driven.

There are a few developers who’ve already realized the potential of game data such as the GRID partners – Riot Games, Ubisoft, or KRAFTON. But at GRID we believe that there’s a space to enable data-powered innovation in other competitive titles — from the learning publishers but also from the emerging studios, or indie developers.

Grassroots esports, or maybe VR experiences, new ways of empowering the community or engaging fans? In-game telemetry data is the key to enabling unbounded innovation in the ecosystem.

At GRID we’re proud to be at the forefront of in-game data innovation providing solutions for data sourcing (GRID Game SDK), analytics, integrity, and distribution in competitive game titles. GRID is the official data platform for League of Legends, VALORANT, Rainbow Six Siege, PUBG, CS2, and Dota2. If you are looking for a in-game telemetry data infrastructure for your existing or upcoming competitive title or are interested in getting access to official data for your products contact data@grid.gg.

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When starting in a new position at GRID, it is highly likely that not many hours (or perhaps even minutes) pass on your first day, before the first time somebody utters the term ‘game title agnostic’. It might even be that the term isn’t new to you, because it was discussed already a few times during the interview…

Such is the vital importance we attach to this concept as a cornerstone of GRID’s vision.

In this article, I’m going to outline why it is so important, and how we’ve gone about turning the concept of ‘game title agnostic’ technology into a reality on the GRID Data Platform.

Let’s start with why.

When GRID was founded, a little over 5 years ago, the state of play was painfully clear. Esports data was incredibly fragmented, largely unavailable, and most of what was available was unofficial, unreliable, and often lacking in detail.

It was clear to us that there must be a better way. We envisioned solving this by building technology that game developers could rely on to collect the data so sorely sought after, and a platform to make this data available — in all its granular glory — to their data-hungry communities.

GRID’s mission statement is to unlock the potential of in-game data for everyone. This not only includes every consumer with a data use case, but also any game developer looking to harness the value of their in-game data assets.

Thinking about the sheer number of developers and games that they have and will create, something else became clear to us. We needed to develop a scalable approach that would enable the GRID Data Platform to allow an extremely efficient adoption of new titles, and any future changes to those titles, within any genre.

The esports and gaming industry is incredibly fast-paced and hugely diverse. For those of us working within it, this is part of what we love about it. However, it also certainly brings some challenges.

New games constantly debut across varied genres. Some skyrocket to fame, amassing millions of players in a flash. Whether crafted by major studios or a solo developer on a tight budget, successful games will likely go on to receive regular updates and alterations, often shaped by player feedback.

In such a landscape, picture the daunting task of completing a large integration project every time you wish to tap into data for a new game. Now, think about revisiting that process with each game update or content expansion. While it might be feasible for top-tier games, this approach doesn’t scale efficiently, making the decision to onboard a new title increasingly challenging.

And this is exactly why we hold the concept of being game title agnostic so central to our vision — we don’t ever want it to be challenging for us to support more game titles on the GRID Data Platform, or for the downstream data application developers to consume the data available for them. Neither would we want a delay in a change to the game being reflected in the data. Finally, when building new platform features, we’d rather they benefit every title, rather than just one.

What does it mean to be game title agnostic?

Being game title agnostic is being able to build and operate products without needing to be concerned about the title that you are building or operating them for.

At GRID, this means ensuring that every one of the myriad of components that we build that make up the data platform as a whole, can work for any title. At a high level, the platform is made up of several broad layers, and each of these layers needs to be able to function and provide the same value, no matter the title it is providing it for.

The gold standard we hold ourselves to at GRID is that data for a new title can be transmitted to GRID, and everything, end to end, becomes immediately available without any development work whatsoever. On top of that, we ensure that the way we provide data to downstream consumers allows them to do just the same, but with much less effort.

We’re not just passing through.

The gold standard we hold ourselves to at GRID is that data for a new title can be transmitted to GRID, and everything, end to end, becomes immediately available without any development work whatsoever. On top of that, we ensure that the way we provide data to downstream consumers allows them to do just the same, but with much less effort.

In recent years, the term game title agnostic has started to be used more and more in the industry, and not just by us. Often the approach being discussed, however, is quite different. More often than not, I’ve come across what could rather be described as ‘the passthrough approach’.

If you take data from a source, wrap it in standardized metadata (i.e. include some sequencing mechanism, perhaps attach an ID, add on timestamp) and publish it again, then it is probably quite obvious that data for a new title could be consumed and forwarded on again without needing to require much development work.

This approach, however, doesn’t come with a lot of value creation for either the data producers (game developers), or the data consumers (those building data driven applications).

The data producers still need to create a full API and build a data format that makes sense for the end consumers (as this will just be wrapped in metadata), and the data consumers still need to understand a new format, every time they wish to integrate a new title.

This is not the approach GRID has taken, because we don’t think this adequately solves the problem. While it might scratch the surface in some ways, it certainly isn’t going to help with GRID’s mission of unlocking the full potential of in-game data for everyone. To do that, you need an approach that maximizes accessibility and adoption.

How do we achieve this at GRID?

At the heart of our approach to achieving this, is ensuring that there is a standardized way to model different games. While on the surface this might seem an impossible task (how can data be standardized for MOBA, Battle Royale, and Racing games?), we’ve found the solution lies in first breaking down the games into smaller elements.

Although games may appear vastly different when viewed in their entirety, a closer examination of their mechanics often reveals significant similarities in how they function as playable experiences. The GRID Data Platform is engineered to enable us to build out support for these generic mechanisms that can then be used to model a title in data.

The following are some example mechanisms that we support, to illustrate what I mean.

• Segments — a game can be split into multiple parts, a segment can be won and all data that is collected can be attributed to the segment it occurs within.
• Objectives — players or teams can achieve things, and a count of the amount of times they have done so is maintained.
• Clocks — an important mechanism in many games, be it the main game clock, a cooldown timer, or a respawn countdown. A clock can count up, down, and be started, stopped or set.
• Items — players can interact with them, purchasing, picking up, dropping and using them.
• Abilities — players can carry out certain special actions. Abilities can be used, have a name and might not always be available.
• Structures — buildings that exist in the environment, they can have health, be controlled or destroyed.
• NPCs — non-player characters, can cause damage to players, be damaged or killed by players and controlled by a team.

These are only a small selection of the mechanisms available, just to give an idea. The full list is a lot longer at this point, and also includes some more basic mechanisms such as matches, games, players and teams.

These different generic mechanisms then become the building blocks with which to model a game and create a data feed for it. Each one enables a certain set of behaviors that are exposed in the following forms.

• Commands — functionality that allows game developers to transmit to GRID details of what is happening during a game, and informs the GRID platform of how to alter the state. Each mechanism supported has a set of commands with which to interact with it.
• State — a complete overview of the current circumstance of an ongoing game.
• Events — a set of supported events for each mechanism, that details what action has specifically happened, and how that action has altered the state over time (see here for further reading on state and events at GRID).

These work to achieve the game title agnostic vision set out above because:

• A data feed for any game can be modeled from the same mechanisms. All the mechanisms need not be used, of course, if they are not required.
• Logic produced to support these mechanisms can be reused across titles. If systems are designed well, this can result in supporting new titles without any work. GRID has developed various downstream applications that all leverage the approach to this effect.

Bringing it all together.

In the dynamic world of esports and gaming, we at GRID recognize the imperative need for efficient and scalable data solutions, in order to empower a thriving and sustainable data ecosystem. The game title agnostic approach is pivotal in achieving this.

By embracing this methodology, we empower a broader spectrum of game developers to offer data across numerous titles. Simultaneously, it unlocks opportunities for data consumers to access and utilize information from a wide array of games.

This post serves as a preliminary overview of our game title agnostic philosophy, its underpinning motivations and our practical approach to its implementation. Given the depth and intricacies involved, however, there’s certainly more to unpack on the topic in the future. Stay tuned.

In the meantime, to take a more detailed look at the actual results of the above approach yourself, you can apply for GRID Open Access. You can also find me on X, where I’m often talking about official esports and gaming data, the GRID Data Platform and its benefits.

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