AI Wager Odds Adjuster for Dynamic Betting Risk Control
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Solution Overview
Problem
In sports wagering, people often place bets based on subjective preferences rather than objective data, leading to unbalanced bets that can result in losses for the house. Additionally, when demand for one side of a wager exceeds expectations, the house misses out on potential profits, and errors in odds calculation can be exploited by users if not adjusted.
Innovation Solution
The system adjusts wager odds in real-time by filtering historic data to match current wagers, selecting common parameters, performing correlations, determining correlated data, extracting data points, comparing them to a threshold, and adjusting odds if the data exceeds the threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If odds are calculated based on objective data and statistics, then the payout is proportional to actual chances, but people place wagers based on subjective preferences leading to unbalanced bets that can result in losses for the house
Solution Approach 1:
The system continuously monitors wager patterns and compares them against expected distributions, then automatically adjusts odds in real-time to correct imbalances. This closed-loop feedback mechanism ensures that subjective betting patterns do not compromise house reliability while maintaining statistically sound odds foundations.
Solution Approach 2:
The odds are made dynamic rather than static, allowing real-time adjustment based on incoming wager data. The system transitions from fixed pre-calculated odds to continuously adapting odds that respond to actual betting behavior, preventing unbalanced exposure while maintaining measurement precision.
2Adaptability or versatility
If demand for one side of a wager greatly exceeds the demand expected based on the odds, then the house can accommodate the demand, but the house misses out on profit it could have made by offering lower odds
Solution Approach 1:
The system dynamically adjusts odds in real-time based on actual wager demand versus expected demand. When demand exceeds expectations, odds are automatically reduced to capture additional value while still accommodating the high wager volume, preventing both profit loss and maintaining adaptability.
Solution Approach 2:
The system changes the odds parameter in response to demand patterns. By adjusting this key parameter based on real-time data, the house can accommodate excessive demand while capturing additional profit that would otherwise be lost with static odds.
3Device complexity
If the odds are not subsequently adjusted after initial calculation, then the odds calculation process is simple, but errors in the original odds calculation can be exploited by clever users
Solution Approach 1:
The system implements continuous feedback monitoring of wager patterns to detect potential exploitation of calculation errors. When anomalies are detected that suggest users are exploiting odds inaccuracies, the system automatically adjusts odds to correct the error, maintaining reliability without requiring complex manual intervention.
Solution Approach 2:
The odds adjustment system operates autonomously, detecting and correcting its own calculation errors through automated monitoring and adjustment. This self-correcting mechanism maintains odds accuracy while keeping the overall system complexity manageable through automation rather than human oversight.
Data Source
AI summary
A method of using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.