You’re three minutes into a ranked match, and the play is starting to feel off. The passes aren’t connecting, your rotations are a half-second slow, and the scoreboard is tilting. The traditional fix, later, is to watch the replay, the VOD, and try to parse your own mistakes from a flood of pixels. Shapley Technologies is building for the moment the mistake happens. Its product, Erdos, is an AI analytics platform that promises to watch alongside you, delivering real-time, personalized insights before the next match loads [LinkedIn, retrieved 2024]. It’s a coach embedded in the code, whispering corrections not from the sidelines, but from the server.
The Wedge in the VOD Review
For competitive gamers, especially in titles like Rocket League and Fortnite that the company lists as focus areas, improvement is a ritual of self-critique [LinkedIn, retrieved 2024]. Players record their gameplay, then spend hours reviewing footage to identify errors in positioning, decision-making, or mechanics. It’s a tedious, subjective process. Shapley’s bet is that AI can automate the analysis and, more importantly, contextualize it instantly. The platform claims to use machine learning to analyze player performance and gameplay data, moving beyond simple stat trackers to deliver what it calls “personalized insights that help gamers refine their strategies” [LinkedIn, retrieved 2024]. The product surface, as described, is less a dashboard and more of a companion, aiming to compress the feedback loop from hours to seconds.
A Founder’s Intuition
The company is the project of co-founders Jonathan and Angelica Sirotin, who started Shapley Technologies in 2023 [LinkedIn, retrieved 2024]. The venture appears deeply personal. Jonathan Sirotin is described as a semi-professional Rocket League player, analyst, and coach, suggesting the product is being built from the inside out, born from direct experience with the problem [Sirotin Ventures on LinkedIn, retrieved 2026]. Angelica Sirotin brings a background in content creation and marketing strategy, which could inform how the platform communicates its complex data to users [HOME | Mysite, retrieved 2026]. The team is small, listed at 2-10 employees, operating with the focused intensity of a startup still defining its first key features [LinkedIn, retrieved 2024].
| Founder | Role | Noted Background |
|---|---|---|
| Jonathan Sirotin | CEO | Esports analyst, strategist, and semi-pro Rocket League player [Sirotin Ventures on LinkedIn, retrieved 2026]. |
| Angelica Sirotin | Co-Founder | CEO of Sirotin Ventures, business writer with expertise in content and marketing [HOME |
The Unproven Leap
The ambition is clear, but the path from a LinkedIn profile to a trusted tool in a gamer’s stack is steep. The market for performance analytics is not empty. Startups like DataCoach, Omnic.AI, and Trophi.ai are already competing for the attention of serious players and esports organizations. Shapley’s current public presence is minimal, with no standalone website, disclosed customers, or announced partnerships with game publishers or teams. This presents a classic chicken-and-egg dilemma for a data platform: it needs user data to train its AI models and prove its value, but it needs to prove its value to attract those first crucial users. Furthermore, the technical hurdle of cleanly integrating with protected game environments to access real-time data is non-trivial and often requires official developer support.
The risks for Shapley are less about the idea and more about execution. The company’s next twelve months will likely be defined by a few critical, visible steps:
- The first public product. Moving from a described concept to a downloadable tool or web app that users can actually test.
- The initial community. Securing adoption from a core group of dedicated players, likely in its named focus titles, to generate case studies and word-of-mouth.
- The technical proof. Demonstrating that its AI delivers insights meaningfully superior to a player’s own review or a basic stats page.
For now, Shapley Technologies exists as a premise. It’s building for the player caught in that frustrating three-minute slump, offering a future where the answer arrives not with hindsight, but in the moment. The question it’s really answering isn’t about data or AI. It’s about loneliness. In a hyper-competitive environment where improvement is a solitary grind, the product asks if the best coach might be one that never sleeps, never gets frustrated, and sees every frame.
Sources
- [LinkedIn, retrieved 2024] Shapley Technologies Company Profile | https://www.linkedin.com/company/shapley-technologies
- [Sirotin Ventures on LinkedIn, retrieved 2026] About the Founder - Sirotin Ventures | https://www.sirotinintelligence.com/sirotin-intelligence-briefing-may-4-8-2026-pentagon-unseals-162-uap-files-under-trumps-pursue-program-golden-dome-hits-multi-billion-inflection-point-and-us-strikes-iran-in-strait-of-ho/
- [HOME | Mysite, retrieved 2026] Angelica Sirotin Professional Background | https://jobs.smartrecruiters.com/smartrecruiters/744000093039405-deal-desk-operations-analyst