TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 12:08 AM EST
Kalshi
This market focuses on predicting whether the combined score of Texas State and San Diego State in the second quarter of their college football game will exceed various thresholds. It provides a granular view of scoring expectations for a specific segment of the match.
All markets resolve based on the total points scored by both teams combined during the second quarter of play in the Texas State vs San Diego State college football game scheduled for October 3, 2026. Each market has a specific threshold: if the combined second-quarter points exceed that threshold, the market resolves to Yes; otherwise, it resolves to No. For all markets, only points scored during the second quarter count. If the game is postponed but commences within 48 hours of the original scheduled start time, the markets remain open and resolve according to the official final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and need to account for profit margins, while this market is driven purely by traders’ willingness to buy or sell. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously betting on both platforms. However, it’s important to remember that prediction markets and sportsbooks have different risk profiles and attract different types of participants.
On Kalshi, this market is priced through a continuous order book where traders can buy 'yes' contracts (believing the total score will be over the listed value) or sell 'no' contracts (believing it will be under). On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of these contracts fluctuates based on supply and demand, reflecting the collective prediction of all traders. As more people buy 'yes' contracts, the price increases, and vice versa. This dynamic pricing mechanism aims to accurately represent the probability of the total score falling above or below the market’s implied threshold.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total score of the 2nd quarter between Texas St. and San Diego St. will be used to determine whether the market settles in the 'yes' or 'no' category. It’s important to note that the official game statistics, as reported by a recognized sports data source, will be the basis for resolution, ensuring a transparent and objective outcome.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either Texas St. or San Diego St. would likely have a significant impact. Changes in weather conditions, especially if they are expected to affect scoring, could also shift the odds. Furthermore, any significant shifts in public perception, perhaps driven by expert analysis or pre-game polls, could lead to increased trading volume and price movement in this market. Monitoring these factors can help you understand potential catalysts for price changes.