Find AI Tools
GGPredict.io screenshot

What is GGPredict.io?

GGPredict.io is an AI-driven coaching and training platform for Counter-Strike 2 players. It reviews your match demos, tracks hundreds of in-game statistics, and turns the findings into personalised challenges on custom training maps. Players use it to measure aim, utility usage and decision making over time, with a community of more than 118,000 users ranging from casual to competitive Faceit-level play.

Key Features

AI match analytics

Post-match breakdowns tracking performance, strengths and weaknesses across hundreds of statistics per game.

Personalised training maps

Dynamic, customisable practice maps with rotating challenges and leaderboards.

Skill metrics

Numeric scoring for areas such as aiming so players can monitor progress over time.

Demo viewer

Replay analysis tools for reviewing rounds and individual plays.

Compare tools

Benchmarking that sets your statistics against other players for competitive context.

Dedicated servers

Access to custom game infrastructure for training sessions.

Progress tracking

Real-time monitoring of improvement areas and recommended drills.

Pros & Cons

Advantages

  • Tailored specifically to Counter-Strike 2 rather than being a generic analytics dashboard, so the metrics map directly to in-game skills.
  • Combines diagnosis and practice in one place, turning match analysis into concrete training challenges.
  • A free tier lets players try basic match analysis before committing to a paid plan.
  • Large established user base of over 118,000 players provides meaningful benchmarking data.
  • Premium pricing is modest at around 9.99 dollars per month with a cheaper annual option.

Limitations

  • Only supports Counter-Strike 2, so it has no value for players of other titles.
  • The most useful features such as unlimited analyses and full AI coaching are locked behind the paid Premium tier.
  • Team and enterprise pricing is not published and requires contacting the company.
  • Improvement still depends on the player acting on the recommendations, as the platform cannot practise for you.

Use Cases

Casual CS2 players who want to understand which parts of their game are holding them back.

Competitive and Faceit players tracking aim and utility statistics to climb the ranks.

Players using personalised training maps to drill specific weaknesses identified from their demos.

Esports teams and coaches using analytics and comparison tools to benchmark roster performance.

Returning players who want structured practice routines rather than aimless deathmatch warmups.