AI Wager Odds Adjustment From Live Betting Patterns
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Solution Overview
Problem
Existing wagering systems fail to adjust odds in real-time based on objective data, leading to one-sided bets, missed profits, and potential exploitation of errors, as users do not rely on objective data for placing bets and odds calculations are not dynamically adjusted.
Innovation Solution
Implementing artificial intelligence to filter historic wager data, identify correlations, and adjust odds in real-time by comparing extracted data points to predetermined thresholds, using a processor to execute methods for displaying and adjusting odds during live events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If odds are calculated based on objective data and statistics, then payout fairness is improved, but user betting behavior does not align with objective data leading to one-sided bets and house losses
Solution Approach 1:
The system continuously monitors betting patterns and compares them against expected distributions based on odds. When deviations are detected (indicating one-sided betting), the system feeds this information back to adjust odds dynamically, creating a closed-loop control system that maintains balance between fairness and profitability
Solution Approach 2:
The patent transforms static odds calculations into dynamic, real-time adjustments. Odds are no longer fixed based solely on pre-event statistics but continuously adapt during the event based on live betting patterns, ensuring the system responds to changing conditions while maintaining profit margins
2Quantity of substance
If demand for one side of a wager greatly exceeds expected demand based on odds, then betting volume increases, but the house misses out on potential profit from offering lower odds
Solution Approach 1:
The system detects imbalances in betting demand relative to expected distributions and immediately feeds this information back to adjust odds. When excessive demand is detected on one side, odds are adjusted to reflect this, capturing value from the imbalance while maintaining adequate betting volume
Solution Approach 2:
The patent dynamically changes the odds parameter in response to observed betting patterns. By adjusting this key parameter in real-time, the system optimizes profit capture from demand imbalances while maintaining betting activity, transforming a static pricing model into an adaptive one
3Measurement precision
If original odds calculation contains errors, then initial payouts may be fair, but clever users can exploit these errors for profit
Solution Approach 1:
The system performs preliminary validation and monitoring of odds calculations before errors can be exploited. By continuously comparing actual betting patterns against expected distributions, the system detects potential exploitation attempts early and adjusts odds preemptively to close any arbitrage opportunities
Solution Approach 2:
Real-time monitoring of betting patterns provides immediate feedback that can reveal exploitation of calculation errors. When unusual patterns suggest users are capitalizing on errors, the system rapidly adjusts odds to eliminate the exploitation opportunity, protecting against harmful effects
4Reliability
If real-time odds adjustment is implemented, then house profits are optimized and one-sided bets reduced, but system complexity increases
Solution Approach 1:
The system performs self-adjustment by automatically detecting betting pattern deviations and modifying odds without human intervention. This automated self-service approach handles the complexity internally while presenting a simple interface to operators, managing system complexity through automation rather than manual processes
Data Source
AI summary
A method and system for 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.


