Cross-Game Player Ranking via Unified Metrics
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Solution Overview
Problem
Non-professional online gamers lack access to platforms that allow them to create and manage leagues with player-ranked competitions across multiple game titles, as existing systems fail to provide centralized, customizable ranking based on player-determined metrics.
Innovation Solution
A network-based gaming league management system that receives and processes game-play attributes and statistics from multiple game titles to automatically rank players, allowing for customizable leagues with specified game characteristics and performance metrics, enabling asynchronous competition and tier-based rankings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing ranking systems are used, then player rankings can be maintained, but they cannot provide centralized, customizable ranking based on player-determined metrics across multiple game titles
Solution Approach 1:
The system provides a universal ranking platform that works across multiple game titles simultaneously. The centralized system can aggregate and compare player performance metrics from different games, allowing players to participate in leagues spanning various game genres while using a single unified ranking infrastructure.
Solution Approach 2:
The ranking system dynamically adjusts to player-determined metrics and customizable league parameters. Users can define their own ranking criteria, weightings, and comparison parameters, allowing the system to adapt its ranking logic without requiring manual reconfiguration of the entire system architecture.
2Ease of operation
If manual player ranking is performed, then customization is possible, but it requires significant time and labor input
Solution Approach 1:
The system automatically performs ranking computations by aggregating player performance data from multiple games and applying user-defined metrics. The ranking process is self-executing through programmed algorithms that continuously update player standings without requiring manual intervention, allowing users to simply define their preferences and let the system handle the time-consuming calculations.
Solution Approach 2:
Manual ranking processes are replaced with automated computational systems that use algorithms to process game statistics and determine player rankings. The mechanical manual calculation process is substituted with electronic data processing, significantly reducing the time and labor required while maintaining customization capabilities.
3Adaptability or versatility
If player rankings are based on multiple game titles, then comprehensive competition is enabled, but data aggregation and comparison becomes complex
Solution Approach 1:
The system segments the complex task of multi-game ranking into distinct modular components: individual game data collection, performance metric evaluation, and aggregated ranking computation. Each game's data is processed separately through standardized interfaces, then combined using consistent comparison rules, breaking down the complexity into manageable segments.
Solution Approach 2:
The system handles diverse game metrics by transforming them into standardized comparable parameters. Different game statistics are normalized and weighted according to user preferences, allowing apples-to-apples comparisons across games with fundamentally different gameplay mechanics and scoring systems.
Data Source
AI summary
The subject disclosure relates to systems and methods for ranking video game players based on performance statistics recorded during game-play. In some aspects, a process of the subject technology can include operations for receiving a first set of game-play attributes including two or more game-play statistics for measuring a first player's performance relative to a first game and a second game, receiving a second set of game-play attributes including two or more game-play statistics for measuring a second player's performance relative to the first game and the second game, and automatically ranking the first player and the second player based on the first set of game-play attributes and the second set of game-play attributes. Systems and computer-readable media are also provided.