TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 2:23 AM EST
Kalshi
These markets focus on predicting whether Texas State or San Diego State will achieve specific point differentials in the final quarter of their college football matchup. Outcomes depend entirely on scoring dynamics during the last 15 minutes of regulation time.
All markets resolve based solely on points scored during the fourth quarter of regulation play, excluding any overtime periods. A 'Yes' outcome occurs only if the specified team wins the game by exceeding the stated point margin exclusively within that timeframe. If the contest is postponed but commences within 48 hours of its original schedule, resolution proceeds using the final official result. Should the game fail to start within this window, all markets settle at a fair price. Each market features distinct point thresholds ranging from 1.5 to 10.5 points, applied separately to both possible winners, creating multiple potential 'Yes' resolutions depending on the exact fourth-quarter scoring margin achieved by either team.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by traders who are incentivized to accurately forecast the outcome. As a result, prediction markets often provide more accurate probabilities, especially as the event approaches and more information becomes available. Discrepancies can arise due to differing opinions, information advantages, or simply the dynamics of each type of market.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the 4th quarter spread. The price of a contract indicates the probability of that specific spread occurring. As more traders participate and express their views, the price adjusts to reflect the collective expectation. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are influenced by news, injuries, and any other information that impacts perceptions of the teams' relative strengths. 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 4th quarter spread between Texas St. and San Diego St. is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. The final point difference will determine whether contracts predicting a specific spread pay out at $1 or expire at $0. Traders will be able to see the final result and their contract status shortly after the game concludes.
Several signals could significantly move this market before resolution. Any news regarding key player injuries or suspensions for either Texas St. or San Diego St. would likely cause price fluctuations. Changes in weather forecasts, particularly if they are expected to impact the game significantly, could also influence trading activity. Unexpected news about team morale, coaching changes, or strategic adjustments could also play a role. Finally, large volume trades from informed participants could indicate shifts in sentiment and drive price movements in this market.