Statistical Shot Selection System for Golf Course Management
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Solution Overview
Problem
Golfers lack accurate, statistically-informed data to select optimal golf shots, leading to sub-optimal decisions and increased scores due to uncertainty in distance and direction variances with different club types, and the complexity of considering subsequent shots in course management.
Innovation Solution
A system that combines golf course data with statistical golfer performance data to recommend the most probable shot outcomes, using a mobile device to analyze past performances and provide informed decisions on club type and aim direction, considering variance and potential outcomes for the entire hole.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If golfers use general heuristics and visualized location estimates for shot selection, then the decision-making process is simple and quick, but the accuracy and reliability of shot outcome predictions deteriorate
Solution Approach 1:
The patent replaces the manual mental calculation and heuristic-based shot selection process with an automated computer system that performs statistical analysis and outcome prediction. The system substitutes the golfer's cognitive processing with computational algorithms that analyze historical performance data, course conditions, and shot parameters to generate probabilistic outcome predictions, thereby maintaining ease of operation while dramatically improving prediction accuracy
Solution Approach 2:
The patent introduces a computer-based intermediary system (mobile device or online platform) that acts as a mediator between the golfer and the complex statistical analysis required for optimal shot selection. This intermediary handles the computationally intensive tasks of modeling multiple shot scenarios, analyzing variance, and predicting outcomes, allowing the golfer to receive ready-to-use recommendations without performing the complex calculations manually
2Reliability
If golfers consider multiple possible outcomes and subsequent shots to optimize course management, then the quality of shot selection improves, but the computational complexity and time required exceed golfer capabilities
Solution Approach 1:
The patent performs preliminary computational analysis by pre-calculating statistical models, variance parameters, and outcome probabilities before the golfer needs to make a shot decision. The system prepares multiple shot scenarios and their potential outcomes in advance, so that when the golfer needs a recommendation, the complex computational work has already been completed, providing reliable course management advice without requiring the golfer to perform the calculations in real-time
Solution Approach 2:
The patent transforms the complex multi-dimensional problem of evaluating numerous shot outcomes and subsequent scenarios into a simplified parameter-based recommendation system. By changing the representation from exhaustive scenario analysis to condensed statistical parameters (expected score, variance, confidence intervals), the system maintains high decision quality while reducing computational complexity to levels accessible on mobile devices
3Ease of operation
If golfers rely on average distance estimates without considering variance, then the shot selection process is straightforward, but the reliability of achieving desired shot outcomes deteriorates
Solution Approach 1:
The patent replaces the simple average-distance estimation method with an automated statistical analysis system that computes variance and confidence intervals. The computer system processes historical shot data to generate not just average distances but also measures of variability, allowing golfers to understand the reliability of each shot outcome without manually analyzing the complexity of variance data
Data Source
AI summary
A system for aiding the selection of a golf shot by a golfer on a hole of a golf course, comprising means for retrieving statistics indicative of past performances by the golfer for each of a plurality of golf club types, means for retrieving data regarding the hole of the golf course, means for analyzing the retrieved statistics in concert with the data regarding the hole of the golf course, means for selecting one of the golf club types as the statistically preferred golf club type for the golf shot, and means for displaying the selected golf club type to the golfer.


