Progression Ball Tennis Rating System Using Iterative Elo Updates
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Solution Overview
Problem
Current ranking and rating systems for tennis and pickleball do not provide objective ratings for junior color ball tennis players, limiting their ability to track progress and develop their skills effectively.
Innovation Solution
A computing device is configured to determine progression ball ratings for tennis players and pickleball ratings by analyzing match outcome results, setting initial rating values, and iteratively updating ratings based on expected and actual outcomes, using progression coefficients, weight factors, and flooring mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If objective rating systems are used for traditional tennis players, then rating accuracy is improved, but no rating system exists for junior color ball players
Solution Approach 1:
The patent modifies the traditional Elo rating system by introducing progression coefficients that change based on player development stage and ball color level. This allows the same rating framework to adapt to junior players at different skill levels, resolving the contradiction between maintaining rating accuracy and expanding applicability to previously unrated populations.
Solution Approach 2:
The rating system segments players by ball color level (red, orange, green, yellow) and applies level-specific progression coefficients. This segmentation enables accurate rating of junior players while maintaining compatibility with traditional tennis rating structures, addressing both measurement precision and adaptability requirements.
2Reliability
If iterative rating updates are performed, then rating reliability is improved, but computational complexity increases
Solution Approach 1:
The patent performs iterative rating updates only when new match results are available, rather than continuously recalculating all ratings. This partial action approach maintains rating reliability through periodic updates while avoiding the excessive computational complexity of continuous full-system recalculation.
Solution Approach 2:
The system uses feedback from actual match outcomes to iteratively adjust player ratings toward expected outcomes. This feedback mechanism improves rating reliability by continuously incorporating new information while maintaining computational efficiency through targeted updates only when necessary.
3Reliability
If floor ratings are implemented, then player progress retention is improved, but rating granularity is reduced
Solution Approach 1:
The patent adds a temporal dimension to rating granularity by implementing floor ratings that persist across rating recalculations. This allows the system to retain progress information over time while maintaining fine-grained rating precision within each evaluation period, resolving the contradiction between progress retention and rating granularity.
Data Source
AI summary
Technologies for automatically determining rating levels for progression ball tennis players and pickleball players are disclosed. A rating server identifies match outcome results and iteratively updates rating values for players based on differences between expected outcome and actual outcome and one or more match weighting factors. For progression ball tennis, also called color ball tennis, each player rating is reset to an initial value based on progression level before iterating, and the rating values are updated based on a progression coefficient. For pickleball, doubles match results are each refactored into a set of singles match results, and expected outcomes are determined in terms of points rather than games. For pickleball, rating values are updated between fully reliable players. For pickleball, rating values for non-fully reliable players are filled based on match results with reliable players. Other embodiments are described and claimed.