TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 5:03 PM EST
Kalshi
These markets focus on predicting the point differential in the second quarter of a college football game between Texas State and Texas. Each market corresponds to a specific threshold of points by which either team must win that quarter to settle the outcome.
All markets resolve based solely on points scored during the second quarter of play in the Texas St. vs Texas college football game scheduled for Sep 5, 2026. For any market where Texas wins the quarter by exceeding the specified point margin, it resolves to Yes; if Texas State exceeds its respective margin, that corresponding market resolves to Yes. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the official result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point thresholds defined in each market.
Generally, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. Discrepancies can arise due to differing information, risk tolerance, or simply varying perspectives on the teams’ strengths and weaknesses. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread difference between Texas and Texas St. at the end of the second quarter will determine the winning contract. The resolution will be based on official game statistics and will be publicly available following the conclusion of the game. Traders will be able to see which contracts were settled as winners and losers based on the official result.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either team would likely have a significant impact. Changes in coaching strategies or unexpected lineup adjustments could also shift expectations. Furthermore, performance in previous games, weather conditions, and even public sentiment expressed through social media or expert analysis can all contribute to price movements. Unexpected late-breaking news about either team’s preparation or internal dynamics could also move the market considerably.