TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:22h:21m
$
This group covers the college football game between Georgia State and Appalachian State scheduled for November 7th. Markets exist on the game winner, point spreads, over/under totals, and various team/player statistics.
In the upcoming college football game between Georgia State and Appalachian State, scheduled for November 7 at 2:30PM ET: This market will resolve to "Georgia State" if Georgia State win the game. This market will resolve to "Appalachian State" if Appalachian State 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 Georgia State and Appalachian State, scheduled for November 7 at 2:30PM ET: This market will resolve to "Georgia State" if Georgia State win the game. This market will resolve to "Appalachian State" if Appalachian State 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 on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade on their beliefs. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. However, both aim to accurately predict the probability of an event, and comparing them can be a useful strategy for informed decision-making regarding the college football matchup.
Prices on Polymarket and Kalshi may differ due to several factors. Each platform has its own user base, trading dynamics, and fee structure, influencing how prices are formed. 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. Furthermore, differing liquidity and volume on each exchange can create temporary price discrepancies. The spread, currently at 34.0 on Kalshi, reflects the perceived difference in probabilities between the two teams. These variations provide opportunities for arbitrage, where traders attempt to profit from price differences across platforms.
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 college football matchup between Georgia State and Appalachian State will determine the outcome. Traders will be able to see the verified result on both Polymarket and Kalshi once it's officially reported. The market will then settle based on which outcome occurred during the game.
Several signals could significantly move this market before Nov 7, 2026. Key injuries to star players on either team would likely shift probabilities. Unexpected coaching changes or significant news regarding team morale could also impact trading activity. Game-day weather forecasts, particularly if severe, can influence expectations. Finally, any major shifts in public sentiment, reflected in betting patterns or media coverage, will likely be priced into this market. Monitoring these factors can provide insights into potential market movements regarding the college football matchup.