TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:07h:13m
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This prediction group centers around the college football game between Texas State and Oregon State, scheduled for November 7th. Markets cover the game's outcome, point spreads, over/under totals, and various player/team statistics.
In the upcoming college football game between Texas State and Oregon State, scheduled for November 7 at 10:30PM ET: This market will resolve to "Texas State" if Texas State win the game. This market will resolve to "Oregon State" if Oregon 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 based on the winner of the Texas State vs Oregon State college football game scheduled for November 7, 2026. If the game is postponed but begins within 48 hours of the original start time, the market stays open and resolves according to the official result. If the game is cancelled or fails to start within the 48-hour period, the market resolves to a fair price. Separate markets exist for each team, each resolving to Yes if their respective team wins, with identical secondary rules governing both.
In the upcoming college football game between Texas State and Oregon State, scheduled for November 7 at 10:30PM ET: This market will resolve to "Texas State" if Texas State win the game. This market will resolve to "Oregon State" if Oregon 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 collective wisdom of a diverse group of participants, 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 when public sentiment strongly diverges from the sportsbook's initial assessment. It’s important to compare both to gain a well-rounded view of the likely outcome of the Texas State vs. Oregon State game.
Prices on Polymarket and Kalshi 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 a different user base with varying levels of expertise and information. Trading mechanisms also differ; one platform might have higher trading fees or liquidity constraints than the other. Furthermore, differing interpretations of available information regarding the Texas State vs. Oregon State game – such as injury reports or team news – can influence trading activity on each platform independently. These factors contribute to the observed price discrepancies, reflecting the dynamic nature of prediction markets.
This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Texas State vs. Oregon State game, as reported by a trusted sports data source. Traders will then be able to see which predictions proved accurate and how the market moved leading up to the final result. The volume of $1,181 suggests significant interest in forecasting this game’s outcome.
Several signals could significantly impact this market before Nov 8, 2026. Key player injuries on either the Texas State or Oregon State teams would likely cause substantial shifts in the odds. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major news regarding team morale could also influence trading activity. Any information that alters perceptions of each team’s chances of winning will be reflected in the prices on both Polymarket and Kalshi, making it a dynamic market to watch leading up to the game.