Revolutionizing Team Fight Predictions with AI

Harnessing data and simulations for accurate team fight outcomes in MOBA games.

Innovative Teamfight Prediction Solutions

We specialize in data collection, multi-agent simulation, and GPT-4 integration to enhance teamfight predictions across various MOBA games, optimizing performance and accuracy for better gameplay strategies.

A group of people is posing for a photograph in a room with a white screen in the background that has text welcoming e-sport participants for a Mobile Legends event organized by PKS Prambanan. The group consists of 20 individuals standing and sitting, with some wearing casual attire and others wearing matching shirts that include logos.
A group of people is posing for a photograph in a room with a white screen in the background that has text welcoming e-sport participants for a Mobile Legends event organized by PKS Prambanan. The group consists of 20 individuals standing and sitting, with some wearing casual attire and others wearing matching shirts that include logos.
Our Mission
What We Do

Through fine-tuning and rigorous evaluation, we ensure our models deliver precise insights into role behavior, skill usage, and team coordination, empowering players to achieve victory in competitive environments.

Teamfight Prediction Services

We specialize in data collection, modeling, and testing for teamfight predictions in MOBA games.

Data Collection Services
A group of people is gathered in a room watching and participating in a video game competition. Players and spectators are focused on the monitors displaying a fighting game. The setting includes tables with equipment and chairs arranged around the venue, with a noticeable intensity in the participants’ engagement.
A group of people is gathered in a room watching and participating in a video game competition. Players and spectators are focused on the monitors displaying a fighting game. The setting includes tables with equipment and chairs arranged around the venue, with a noticeable intensity in the participants’ engagement.

Collecting and preprocessing teamfight data from various MOBA games for analysis.

An esports event with a large screen displaying two teams, Team Kaliber and Rise Nation, competing against each other. The screen shows profiles of team members and scores, with Team Kaliber leading 2-0. The venue is dimly lit with blue and red lighting, and an audience can be seen watching.
An esports event with a large screen displaying two teams, Team Kaliber and Rise Nation, competing against each other. The screen shows profiles of team members and scores, with Team Kaliber leading 2-0. The venue is dimly lit with blue and red lighting, and an audience can be seen watching.
A man with glasses is sitting in a gaming chair, focused on a monitor in front of him. He is wearing a black and red esports jersey with various logos. The background features a large banner with text and numbers in bold fonts.
A man with glasses is sitting in a gaming chair, focused on a monitor in front of him. He is wearing a black and red esports jersey with various logos. The background features a large banner with text and numbers in bold fonts.
Simulation Modeling

Utilizing multi-agent simulation technology to model team fights and decision-making processes.

Integrating and testing GPT-4 for enhanced predictions in teamfight outcomes and skill usage.

Model Integration

Team Fight

Advanced data collection and modeling for team fight predictions.

Two people are seated at a table with gaming monitors, wearing headsets. They appear to be participating in an esports broadcast or commentary. The environment is dimly lit with additional equipment and people visible in the background. A large blue banner with the word 'Frostbite' and a stylized graphic of a wolf is displayed.
Two people are seated at a table with gaming monitors, wearing headsets. They appear to be participating in an esports broadcast or commentary. The environment is dimly lit with additional equipment and people visible in the background. A large blue banner with the word 'Frostbite' and a stylized graphic of a wolf is displayed.
Simulation Model

Utilizing multi-agent simulation technology to accurately model team fight behaviors and decisions across various roles in competitive gameplay.

A large esports arena featuring a massive screen displaying a video game, surrounded by sponsor logos and team names. The auditorium is filled with spectators watching the gaming event. Neon blue and purple lights illuminate the stage, creating a vibrant atmosphere.
A large esports arena featuring a massive screen displaying a video game, surrounded by sponsor logos and team names. The auditorium is filled with spectators watching the gaming event. Neon blue and purple lights illuminate the stage, creating a vibrant atmosphere.
Performance Testing

Integrating and testing GPT-4 for role behavior analysis and skill usage predictions in team fight outcomes, ensuring high accuracy and efficiency in predictions.

Contact Us

A large group of people is gathered together in a celebratory atmosphere, posing for a group photo. Many are making peace signs or giving thumbs up. Above the group, there is a large screen with the text 'Mineski TV' displayed. The area is decorated with colorful confetti scattered on the ground.
A large group of people is gathered together in a celebratory atmosphere, posing for a group photo. Many are making peace signs or giving thumbs up. Above the group, there is a large screen with the text 'Mineski TV' displayed. The area is decorated with colorful confetti scattered on the ground.

Reach out for collaboration on team fight data collection, modeling, and GPT-4 integration.

Insights

Advanced data collection for team fight prediction.

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