TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 1:10 AM EST
Kalshi
This market focuses on predicting whether the combined score of Texas State and San Diego State in the third quarter of their college football game will exceed various thresholds. It provides a way to speculate on the scoring intensity of a specific segment of the match.
The market resolves based on the total points scored by both teams during the third quarter of the Texas State vs San Diego State college football game scheduled for October 3, 2026. Each market corresponds to a specific threshold, and if the combined score exceeds that threshold, the market resolves to 'Yes.' Points from other quarters are excluded from the calculation. If the game is postponed but starts within 48 hours of the original time, the market remains active and resolves based on the final official result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by house biases or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the likely outcome. If a significant discrepancy exists between prediction market prices and sportsbook odds, it may indicate that the market believes the sportsbook has mispriced the event. However, it’s important to remember that both represent probabilities, and neither is guaranteed to be correct.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different possible outcomes for the 3rd quarter total. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time estimate of the expected result. Traders aim to profit by accurately predicting the outcome and capitalizing on price discrepancies.
This market resolves around Oct 4, 2026, with the outcome confirmed once the final score for the 3rd quarter of the Texas St. vs San Diego St. game is verifiable from credible public reporting. The total points scored by both teams in the 3rd quarter will be used to determine the winning contracts. The resolution process relies on publicly available data to ensure an objective and transparent outcome. Traders should monitor official sources for the final score to understand the market’s resolution.
Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either Texas St. or San Diego St. would likely have a significant impact. Changes in weather conditions, particularly if they affect the style of play, could also shift the market. Additionally, in-game performance during the first half, and any adjustments to team strategies, could lead to traders reassessing their probabilities. Public sentiment and betting trends observed elsewhere might also contribute to price movements in this market.