TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:18h:08m
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This prediction group covers the Iowa State vs. Baylor college football game scheduled for November 7th. Markets range from the simple outcome of which team will win, to point spreads, over/under totals, and various statistical achievements during the game.
In the upcoming college football game between Iowa State and Baylor, scheduled for November 7 at 1:00PM ET: This market will resolve to "Iowa State" if Iowa State win the game. This market will resolve to "Baylor" if Baylor 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 to Yes if the specified team wins the originally scheduled game on Nov 7, 2026. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Iowa State and Baylor, scheduled for November 7 at 1:00PM ET: This market will resolve to "Iowa State" if Iowa State win the game. This market will resolve to "Baylor" if Baylor 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 often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals trading on their beliefs. This can lead to discrepancies, especially as new information emerges. It's common to see prediction markets react more quickly to breaking news or shifts in sentiment than sportsbooks, offering a dynamic pricing mechanism. Examining both can provide a well-rounded view of the probabilities surrounding the Iowa State vs. Baylor game.
On Polymarket, traders set the odds by directly bidding on the outcome of the Iowa State vs. Baylor game, while Kalshi uses a different mechanism. 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. This difference in market structure can lead to price discrepancies. Furthermore, each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume on one platform can indicate stronger conviction and potentially influence the price. These factors contribute to the observed differences in probabilities for this market.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Iowa State vs. Baylor game, as reported by official sources, will determine the settlement. Traders will be able to claim their winnings based on their positions in this market at the time of resolution. The platform will verify the outcome against widely available and trusted sources to ensure a fair and accurate settlement.
Several factors could significantly impact this market before Nov 7, 2026. Any news regarding key player injuries, coaching changes, or team performance could shift the probabilities. Unexpected weather conditions or even significant pre-game analysis could also influence trader sentiment. Major upsets in other related games, or even broader shifts in public perception, might also play a role. Monitoring these signals and assessing their potential impact will be crucial for anyone looking to trade in this market.