Gg Predict
Warsaw, PL · Founded 2019 · 4 employees on LinkedIn · 3 known investors
GGPredict builds an AI-driven virtual coaching tool that analyzes CS:GO matches to help players improve their gameplay through statistics and machine learning. It serves esports players looking for detailed performance analysis across tactics, movement, and in-game economics.
Also known as GGPredict · GGPredict.io
Founders & leadership
Investors · 3
Also in the syndicate · 1
Company profile
researched Aug 2026GGPredict operates a web-based analytical and training platform for Counter-Strike players. After each match, the system produces detailed statistics and AI-generated assessments of a player's performance, identifying strengths, misplays and areas to improve, and tracking skill progression over time across dimensions such as aiming. Reported feature coverage includes tracking of over 400 statistics per match, personalised training plans, customisable training maps published in the CS:GO Workshop, a demo/match replay viewer, manual match analysis upload, dedicated servers, a player skills radar, comparisons with professional players' styles, and leaderboard-based competitions and challenges.
The platform's AI is described as tracking the moves and decisions players make, analysing performance against a database of close to one million matches played, and learning positive and negative player behaviours in order to advise on how to react in specific in-game situations. Access is via a web browser with a linked Steam account, and use of CS:GO match data requires a CS:GO Prime account. The company has stated plans to develop similar training technology for other titles, including Dota 2 and League of Legends. Training programmes are positioned as being built with input from experienced Counter-Strike athletes and coaches.
Founding story
The company was founded in 2019 in Warsaw; Przemysław Siemaszko is identified as founder and CEO.
Business model
Software-as-a-service delivered through a web platform that integrates with players' Steam/Counter-Strike accounts, supplemented by custom training maps distributed through the CS:GO Workshop and dedicated practice servers.
Freemium subscription: a free plan covers core features, with paid premium tiers for advanced tools, including a PRO plan reported at $10 per month.
Traction
The company's site cites more than 118,000 registered players. At the time of the 2021 funding round the CEO referenced working with over 25,000 players, stated that most customers played Counter-Strike more than 20 hours per week, and said beta users advanced to higher ranks 10% more often than the average CS:GO player. The AI compares user performance against a database of almost one million matches.
Latest developments
The platform markets AI-powered challenges, a demo viewer, analytics, comparison tools, leaderboard competitions and dedicated servers, and describes its training maps as supporting CS2 potential. A TechCrunch Startup Battlefield profile dated as of January 2025 lists the company as open and operating.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
An esports skill-development and analytics vendor competing in the player-training tools segment; investors backing the 2021 round characterised the esports training and skill-development market as promising and still undeveloped, and the platform is compared with tools such as Dingr in the gaming-analytics category.
Positioning rests on AI-driven personalisation and granular per-match analysis — hundreds of tracked statistics, tailored training plans and challenges, and comparison against professional players — combined with input from professional Counter-Strike coaches and athletes, rather than generic aim-training utilities.
Technology
Machine-learning models analyse parsed match data — including player movement, aim and in-game decisions — to score performance, benchmark it against a database of approaching one million matches, and generate personalised challenges and training plans. Complementary components include custom-built training maps (the GGPredict Training Hub, with configurable weapons and bot behaviour), dedicated servers, a demo viewer and leaderboards. The platform states adherence to GDPR and use of SSL for user data handling.
Go-to-market
Self-serve online registration tied to a Steam account, a freemium funnel, a Discord community and social channels for support, distribution of training maps via the CS:GO Workshop, and endorsements from professional players, coaches and esports content creators.
Counter-Strike players across skill levels, from beginners and hobby players through Faceit-ranked competitive players to esports professionals and coaches seeking analytics for team strategy and training regimens.
Geography
Headquartered in Warsaw, Poland, serving players online; the 2021 financing was earmarked for expansion into foreign markets, particularly North America and Scandinavia.
History
Founded in 2019 (a TechCrunch Startup Battlefield profile lists 2020), the company built an analytical and training platform for CS:GO and by September 2021 had raised $1m from investors including ffVC Tech & Gaming and TDJ Pitango Ventures to fund product development and international expansion. The product has since been extended toward CS2, and the company has signalled intent to apply its technology to other esports titles.
Risks & controversies
Public figures for the company are inconsistent across sources: founding year is given as both 2019 and 2020, and total money raised is reported as $520,000 in one profile against a $1m round reported in press coverage. The product is tightly coupled to a single game franchise and depends on continued access to Counter-Strike match data via Steam and Prime accounts.
Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 2
launches, deals, and filingsThe company said funding would support expansion into foreign markets, particularly North America and Scandinavia, and development of similar training technology for Dota 2 and League of Legends.
GGPredict announced a $1m funding round with participation from ffVC Tech & Gaming and TDJ Pitango Ventures, to be used for further development of its CS:GO analytics and training platform.
$1M source ↗
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 9
primary sources listed
- Ggpredictggpredict.io · web
- How to Predict If a Company Will Be Acquired – Expert Guideresumly.ai · web
9 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Gg Predict do?
- GGPredict is a Warsaw-based AI training and analytics platform for Counter-Strike players.
- Who are Gg Predict's investors?
- Gg Predict's investors include Ff Venture Capital, TDJ Pitango Ventures.
- Where is Gg Predict headquartered?
- Gg Predict is headquartered in Warsaw, PL.