Fantasy Competition Scoring With Weighted Contribution Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional fantasy sports systems fail to accurately reflect the actual performance of competition members due to scores being based solely on numerical values, disregarding factors like playing time intervals, leading to unfair rankings.
Innovation Solution
A competition evaluation system that assigns performance scores and contribution degrees to competition members based on their actual performance, using a weighted scoring system that corrects performance scores based on contribution degrees, and allows players to create member lists within certain point limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If competition scores are calculated solely based on numerical competition data, then the scoring system is simple and objective, but it does not accurately reflect the actual performance of competition members
Solution Approach 1:
The evaluation system segments the performance assessment into multiple independent components: appearance information (playing time, intervals, frequency) and contribution degree (impact on competition outcome). Each component is evaluated separately and then integrated through weighted scoring, allowing precise measurement of actual performance while maintaining systematic organization
Solution Approach 2:
The system transforms the evaluation from a single numerical parameter to multiple parameters including appearance information (time, frequency, intervals) and contribution degree. By changing the evaluation parameters and introducing weighted scores, the system achieves more accurate performance measurement without excessive complexity
2Measurement precision
If all competition members with the same numerical value receive the same competition score, then the system is fair and objective, but it cannot distinguish between members with different actual performance levels
Solution Approach 1:
The system applies local quality by evaluating different aspects of performance (appearance information and contribution degree) with different weights and criteria. Each competition member is assessed based on their specific characteristics rather than a uniform standard, enabling discrimination between members with identical numerical values but different actual performances
3Measurement precision
If the system considers multiple factors like playing time intervals to evaluate performance, then it accurately reflects actual performance, but it increases the complexity of the evaluation process
Solution Approach 1:
The system segments complex performance evaluation into manageable components: appearance information (playing time, intervals, frequency) and contribution degree. By dividing the evaluation process into distinct segments that can be independently calculated and then integrated, the system achieves accurate performance reflection while controlling processing complexity
Solution Approach 2:
The system manages complexity by transforming multiple performance factors into standardized parameters with assigned weights. By changing the representation of performance data into structured parameters (appearance information and contribution degree with weighted scores), the system can accurately reflect performance without overwhelming data processing complexity
Data Source
AI summary
A competition evaluation system and an evaluation method that provide a user unit for a plurality of players to respectively create a competition member list. The competition member list is generated by selecting at least one of a plurality of competition members by the player. The competition members respectively have a competition result and an appearance information, and each of the competition members is respectively given a performance score and a contribution degree based on the competition result and the appearance information. The invention uses a statistics unit to positively correlatedly correct the performance score of the competition member based on the contribution degree of each of the competition members to generate a weighted score for the competition member, thereby generating a total score for each of the competition member lists, and performing ranking according to the total score, so that the associated players respectively obtain a competition ranking.