Telemetry-Based Player Positioning for Dynamic Live-Event Wager Odds
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Solution Overview
Problem
Current wagering platforms and applications do not incorporate telemetry data, accurately utilize players' positioning on a playing surface, or leverage historical positioning to determine wager odds effectively.
Innovation Solution
Integrate telemetry data from various sensors to track player positioning in real-time, using machine learning algorithms to analyze this data and adjust wager odds dynamically during live events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telemetry data is integrated to determine wager odds, then the accuracy and reliability of wager odds is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that receives telemetry data from multiple sensors, processes it through machine learning algorithms, and outputs adjusted wager odds. This intermediary system acts as a mediator between raw sensor data and betting decisions, managing complexity through specialized data processing components rather than directly integrating all sensor data into the wagering platform core.
Solution Approach 2:
The patent replaces traditional manual or simple statistical methods for odds calculation with machine learning algorithms that automatically process and interpret complex telemetry data patterns. This substitution of mechanical/statistical systems with intelligent algorithms enables more accurate odds determination while managing system complexity through automated decision-making processes.
2Measurement precision
If real-time player positioning data is used, then the measurement precision of event probabilities is improved, but the loss of time in data processing increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and storing player positioning data from multiple sensors before it is needed for odds calculation. Historical positioning data is accumulated and organized in advance, allowing the system to quickly retrieve and process relevant information during live events without real-time processing delays.
Solution Approach 2:
The system continuously receives feedback from sensors tracking player positions and dynamically adjusts wager odds based on this real-time information. The feedback loop processes positioning data as it becomes available, using machine learning models to immediately update probabilities and odds, thereby minimizing time loss while maintaining high measurement precision.
3Quantity of substance
If multiple sensors are integrated to track player positioning, then the quantity of available data is improved, but the device complexity increases
Solution Approach 1:
The patent segments the sensor integration task by using separate, specialized sensors for different tracking purposes (e.g., optical sensors for player positions, radar for movement trajectories, GPS for location). Each sensor type handles specific data collection functions, and the results are combined through structured processing layers, making the overall system more manageable despite the increased quantity of sensors and data.
Data Source
AI summary
The present disclosure provides a system and method of using telemetry data to determine wager odds by receiving time-stamped position information captured by sensors, such as telemetry data, of one or more participants of one or both is the first set of participant(s) and/or the at least second set of participant(s) in the competition, and then using the time-stamped position information to determine a first action situation of the competition, and determining the probability and wager odds of a first future event occurring at the competition based on at least the first action situation and playing data associated with at least a subset of one or both of the first set of one or more participants and the at least second set of one or more participants and historical playing data.