TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:13h:20m
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This prediction group centers around the college football game between Tulsa and Tulane, scheduled for November 7th. Markets cover the winner of the game, point spreads, over/under totals, and various statistical outcomes like touchdowns and passing yards.
In the upcoming college football game between Tulsa and Tulane, scheduled for November 7 at 12:00PM ET: This market will resolve to "Tulsa" if Tulsa win the game. This market will resolve to "Tulane" if Tulane 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 either Tulsa or Tulane wins the college football game originally scheduled for November 7, 2026. If the game is postponed but starts within 48 hours of the originally scheduled time, the market remains open and resolves based on the official final result. If the game is cancelled or does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not associated with the NCAA, and all trademarks are the property of their respective owners.
In the upcoming college football game between Tulsa and Tulane, scheduled for November 7 at 12:00PM ET: This market will resolve to "Tulsa" if Tulsa win the game. This market will resolve to "Tulane" if Tulane 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 found in this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines to balance action and ensure profit, while prediction markets are driven by individuals betting on their beliefs. This can lead to discrepancies, especially when there's significant public information or disagreement. Prediction markets also benefit from continuous updating as new information emerges, potentially offering a more dynamic reflection of true probabilities than static sportsbook lines. The volume of $4,935 suggests active trading and a developing consensus.
Differences in prices between Polymarket and Kalshi for this market can arise from 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 has its own user base, trading dynamics, and fee structure, influencing price discovery. Furthermore, the liquidity – or volume – on each platform can vary, leading to price discrepancies. Different risk appetites among traders on each venue can also play a role. While both platforms address the same question about the Tulsa vs. Tulane game, these individual characteristics contribute to the observed price variations.
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 Tulsa vs. Tulane game will be used to determine the winning outcome in this market. Traders will be able to see the resolution details on both Polymarket and Kalshi once the official results are available. The volume currently stands at $4,935, indicating active participation in forecasting the game's outcome.
Several signals could significantly impact this market before Nov 7, 2026. Any news regarding key player injuries on either the Tulsa or Tulane teams would likely cause shifts in probabilities. Unexpected coaching changes or significant changes in team strategy could also influence trading activity. Furthermore, broader factors like weather forecasts for the game day and public sentiment expressed through media coverage could all contribute to movement in the market. Monitoring these factors will be key to understanding how this market evolves.