For more in-depth analysis and insights specific to Dota 2 players and teams, STRATZ is a great option. It provides a wide range of tools including personalized data visualization, AI-generated match predictions, and a wealth of features including hero performance analysis, player profiles, and detailed match statistics. The service is free to use, making it very accessible to both players and teams, and also offers a GraphQL API for developers to tap into the wealth of Dota 2 statistics.
Another interesting option is Getgud, an AI-powered observability tool that offers real-time insights into game and player behavior. It works with multiple game genres including MOBA, and offers features like player querying, match replaying, and game analytics reporting. Although it's geared for a wider range of games, its ability to analyze real-time player behavior is particularly useful for Dota 2 teams trying to fine-tune their strategy and track their performance.
For more general gaming analytics, GameAnalytics is a powerful option. Although it supports a wide range of games and platforms, its detailed insights into player behavior and wealth of features make it a good option for understanding how games work and optimizing game development pipelines. This service is a good option for developers who want to make data-informed decisions and improve their games.
Finally, Azure PlayFab offers a full LiveOps back-end platform with powerful analytics and real-time data services. Although it supports a wider range of games and platforms, its full suite of tools for live games can be used by Dota 2 teams that want to manage their live operations, track leaderboards and analyze player engagement.