Jeonbuk Hyundai Motors FC vs. Gwangju FC - More Markets

This prediction market on Polymarket covers additional betting lines for the K-League match between Jeonbuk Hyundai Motors FC and Gwangju FC, scheduled for May 5 at 1:00 AM ET. The event includes several spread markets and an over/under 1.5 goals market, offering multiple angles for users interested in prediction market analysis for this specific Korean football fixture. The selected market is the spread for Jeonbuk Hyundai Motors FC (-1.5). This market was created on Polymarket on April 7, 2026, alongside the other markets in the event. As of the current data, the selected market shows a YES price of 100.0% and a NO price of 0.0%, implying a 100% probability that Jeonbuk Hyundai Motors FC will cover the -1.5 goal spread. The total volume across all markets in this event stands at $85.9K, while specific liquidity data for the selected market is not available. The market status is resolved or inactive, with an end date of May 5, 2026. When using this Polymarket analytics page, visitors can track the odds, YES price, NO price, volume, and liquidity for each market. The page also displays price or market movement over time. However, in this fast SEO generation, specific data on top holders, whale activity, smart money signals, fresh wallet concentration, and PnL distribution is not included. These insights, including detailed holder analytics and wallet age signals, are available in the on-page analytics tables when fully loaded. This resolved market provides a clear outcome for those monitoring Korean football prediction markets. For a deeper analysis of trading patterns, holder behavior, or spread movements, users should check the full analytics dashboard, which loads wallet concentration data and smart money signals after the page completes its data fetch. This AI-generated analysis is for informational purposes only. It is not financial advice. The site owner and author are not responsible for decisions, losses, or actions based on this text. Verify market data independently.