Event-Based Player Ranking for Fair Team Skill Assessment
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Solution Overview
Problem
Traditional ranking systems for video games are limited in accurately reflecting individual player skill levels, especially in team-based games, as they fail to account for specific events and contributions of individual players, leading to perceived unfairness and dissatisfaction.
Innovation Solution
A dynamic events-based ranking system that monitors and analyzes specific events within games, such as encounters and rounds, to generate granular player and team rankings by calculating individual contributions and outcomes, providing more accurate skill scores in a shorter time frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional ranking methods are used that sum individual player rankings to create team rankings, then the ranking process is simple to implement, but the measurement precision of individual player contributions deteriorates
Solution Approach 1:
The patent segments the team ranking assessment into individual player contribution measurements. Instead of simply summing rankings, the system identifies and evaluates specific events (kills, objectives, assists) attributed to each player, creating granular contribution metrics that preserve both implementation feasibility and measurement precision
Solution Approach 2:
The patent applies local quality by differentiating the assessment of each player's contribution based on their specific actions and events. Each player receives a customized evaluation based on their individual performance metrics rather than a uniform team-wide approach, enabling accurate differentiation of individual contributions while maintaining system simplicity
2Ease of repair
If traditional ranking methods update player rankings only at the conclusion of a match based on team win/loss, then the ranking system is easy to maintain, but the productivity of skill assessment deteriorates
Solution Approach 1:
The patent implements preliminary action by tracking and recording player events and contributions continuously throughout the match rather than waiting until the end. This allows the system to maintain simplicity in updates while accumulating productivity through ongoing data collection that enables faster, more accurate skill assessment
Solution Approach 2:
The patent applies continuity of useful action by continuously monitoring player actions and updating contribution metrics throughout the match. This continuous tracking enables the system to maintain ease of maintenance through automated processes while significantly improving productivity by having skill assessment data ready immediately when needed
3Ease of operation
If traditional ranking methods apply equal adjustment factors to all players on a winning team, then the ranking process is simple to execute, but the measurement precision of skill level differentiation deteriorates
Solution Approach 1:
The patent applies local quality by differentiating the assessment of each player's contribution based on their specific actions and events. Each player receives a customized evaluation based on their individual performance metrics rather than a uniform team-wide approach, enabling accurate differentiation of individual contributions while maintaining system simplicity
Solution Approach 2:
The patent implements parameter changes by using multiple independent parameters (kills, objectives, assists, damage dealt) to calculate player contributions rather than a single uniform adjustment factor. This allows the system to maintain operational simplicity through automated calculations while achieving precise skill level differentiation through multi-parameter analysis
4Ease of manufacture
If traditional ranking methods are used that do not account for specific events within a game, then the ranking system is simple to implement, but the reliability of skill assessment deteriorates
Solution Approach 1:
The patent segments the game into discrete trackable events (kills, objectives, assists) that can be individually measured and attributed to players. This segmentation enables the system to maintain implementation simplicity through automated event tracking while significantly improving reliability by capturing specific actions that reflect true player skill levels
Solution Approach 2:
The patent implements feedback by continuously monitoring player actions and using event data to adjust and refine skill assessments. The system captures specific in-game events and uses this feedback information to reliably reflect player contributions, maintaining ease of implementation through automated feedback loops that improve assessment accuracy
Data Source
AI summary
Systems and methods for dynamic events-based ranking servers including a processor. The server also includes a memory communicatively coupled to the processor. The memory includes at least event data, player skill data, and game logic, which is configured to be processed by the processor in order to execute a game with a plurality of players until a game conclusion is reached. The memory further includes event capture logic that is configured to be processed by the processor to identify a plurality of events within the executed game. The events to be captured are done so prior to the game conclusion. Also, the captured event data can relate to the plurality of events. Finally, the memory includes an event update logic, which is configured to be processed by the processor to update player skill data scores in response to the event data captured during the game.