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455,542
Markets across
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MATCHED EVENTS:
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Polymarket:
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VS.
Kalshi:
62%
Florida State vs. Miami (FL): Total 4th Down Conversions O/U 0.5
- Polymarket
Florida State vs. Miami (FL): Total 4th Down Conversions O/U 0.5 - Polymarket
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Vol.
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Resolves Oct 17, 2026
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This market tracks the total 4th down conversions—over or under 0.5—in the upcoming Florida State versus Miami (FL) college football game. Currently, the consensus probability across Polymarket, Predict, and Kalshi indicates a 100.0% chance of Florida State vs. Miami (FL): Total 4th Down Conversions O/U 0.5. Resolution will be based on data reported by https://www.ncaa.com/. Keep an eye on the game itself on October 17th, as the final 4th down conversion count will determine the outcome of this market.
In the upcoming college football game between Florida State and Miami (FL), scheduled for October 17 at 7:00PM ET: This market will resolve to "Florida State" if Florida State win the game. This market will resolve to "Miami (FL)" if Miami (FL) win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves according to the official outcome of the Florida St. vs Miami (FL) college football game scheduled for October 17, 2026. If postponed but begins within 48 hours of its scheduled start time, betting continues and resolves based on the final result. If canceled or not started within 48 hours, the market resolves at a fair price. Kalshi is not connected to the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Florida State and Miami (FL), scheduled for October 17 at 7:00PM ET: This market will resolve to "Florida State" if Florida State win the game. This market will resolve to "Miami (FL)" if Miami (FL) win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those reflected in this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set odds based on statistical models and expert analysis, while prediction markets are driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. This can result in prediction markets being more efficient at incorporating new information and reflecting the true probabilities of various events. While sportsbooks may adjust odds slowly, this market can react quickly to breaking news or changing sentiment.
Prices on Polymarket and Kalshi for this market can diverge due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different traders with varying risk appetites and information sets, which influences price discovery. Furthermore, the liquidity and trading volume on each platform can fluctuate independently, leading to price discrepancies. Market makers may also employ different strategies on Polymarket versus Kalshi, further contributing to the observed differences. These variations are normal and reflect the dynamic nature of prediction markets, offering opportunities for arbitrage and informed trading.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official outcome of the Florida State versus Miami (FL) football game, as reported by official sources. The final score and official result will be used to determine the winning outcome in this market. Traders should monitor official announcements to stay informed about the resolution process and ensure a clear understanding of how the outcome will be verified.
Several signals could significantly impact this market. Any news regarding key player injuries on either team would likely cause shifts in probabilities. Changes in coaching strategies or unexpected weather forecasts could also influence trading activity. Furthermore, major upsets in other college football games could affect public perception and impact the overall sentiment surrounding this rivalry. Finally, any significant news related to team morale or off-field issues could also move the market as traders react to new information and adjust their predictions.