Real-Time Wager Proposal Module for Live Event Betting
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Solution Overview
Problem
Play by play wagering platforms face challenges in maximizing user engagement and wagering activity due to the short duration available for placing wagers during live sporting events, as users often become engrossed in the gameplay and become less attentive to available wagering opportunities.
Innovation Solution
A method and system for determining and setting wagers in real-time, utilizing a database of past wagers and odds generation, where a wager proposal module identifies the most likely wager size for the next play by comparing the context of the next play with similar past wagers, thereby proposing a wager size based on historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users are provided with wagering opportunities during live events, then wagering volume increases, but users become less attentive to wagering opportunities as they engage with gameplay
Solution Approach 1:
The system performs self-service by automatically analyzing user wagering history and play context to propose wager amounts without requiring active user decision-making. The wager proposal module autonomously determines suggested wager amounts based on historical data patterns, allowing the system to serve itself in predicting user behavior rather than relying on continuous user attention.
Solution Approach 2:
The system applies preliminary action by pre-calculating and proposing wager amounts before the user needs to make a decision. By analyzing historical wagering patterns and play context in advance, the system prepares suggested wager amounts that appear at the moment of decision, eliminating the need for users to actively process wagering information during intense gameplay moments.
2Measurement precision
If the system analyzes historical wagering data to propose wager amounts, then wager placement accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the complex analysis task into distinct functional modules: a wager proposal module that handles historical data analysis, a play context module that processes real-time game information, and a suggestion generation module that combines these inputs. This segmentation allows each module to specialize in specific aspects of the analysis, improving overall accuracy while maintaining manageable system complexity through modular architecture.
Data Source
AI summary
A method of selecting a wager during a live event on a play by play wagering platform to offer to a user such that a wager includes a win condition, odds, and a wager amount based upon the previous wager history of a user. The user being provided the option to accept or decline the wager as offered.