Client-Side Prediction Reconciliation for Low-Latency Sports Gaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional fantasy sports systems do not support real-time prediction and scoring updates across multiple devices, limiting the user experience and requiring server-side processing for prediction reconciliation and award evaluation.
Innovation Solution
A predictive sports game system that utilizes client-side storage of user predictions, simultaneous live score updates across mobile devices, and real-time evaluation and awarding of credits based on prediction accuracy, leveraging cloud computing and sensor data for enhanced user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If server-side processing is used for prediction reconciliation and award evaluation, then system reliability is improved, but processing latency increases and user engagement decreases
Solution Approach 1:
The patent extracts the prediction reconciliation and award evaluation functions from the server-side processing to the client-side device. The mobile device independently performs these operations using local computational resources, eliminating the need to wait for server responses and thereby reducing processing latency while maintaining evaluation accuracy.
Solution Approach 2:
The system segments processing tasks between server and client: the server handles data collection and score updates, while the client handles prediction reconciliation and award evaluation. This segmentation allows parallel processing and reduces the critical path latency by enabling independent client-side evaluation.
2Productivity
If real-time score updates are implemented across all devices, then user engagement is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent implements local quality by having each mobile device independently calculate and display scores based on its own stored predictions and the received game results. This eliminates the need for centralized score distribution across the network, as each device generates its own score locally, significantly reducing network bandwidth consumption while maintaining real-time engagement.
3Speed
If client-side prediction storage is implemented, then processing speed is improved, but device memory requirements increase
Solution Approach 1:
The patent implements a lightweight prediction data structure that stores only essential prediction information locally on the mobile device. The prediction object contains minimal necessary fields (player ID, predicted position, timestamp) allowing fast client-side processing without requiring significant device memory, thus achieving high processing speed with minimal memory overhead.
Data Source
AI summary
A prediction gaming system is disclosed. The system allows users to predict live scores on a mobile platform ball-by-ball in a Cricket game before the ball is bowled while the game is in progress. There is a user interface (UI), a fast live score feed methodology, user prediction capture, reconciliation and reward framework. The methods and systems described here are further applicable to other sports including tennis, where the methods are applicable point-by-point and in baseball, applicable pitch-by-pitch.