TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 7, 9:50 PM EST
Kalshi
This set of markets focuses on predicting the outcome of the first quarter in an upcoming college football game, specifically how much one team might outscore the other in those initial moments. Each market represents a different point differential threshold that could be achieved by either SMU or Florida State University during the first 15 minutes of play.
All markets resolve based solely on points scored during the first quarter of the SMU vs Florida St. college football game scheduled for Sep 7, 2026. A 'Yes' outcome occurs if the winning team exceeds the specified point differential for that market within the first quarter. If the game is postponed but commences within 48 hours of the original start time, markets remain active and resolve according to the actual first-quarter 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 individual markets.
Typically, 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, while this market is driven by individuals expressing their beliefs about the outcome. Often, prediction markets are considered more accurate than traditional forecasts, especially when they have sufficient volume. However, sportsbook odds can be influenced by factors like public perception and promotional offers, leading to potential discrepancies with the implied probabilities found in this market.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the market's collective belief about the probability of that spread occurring. As more traders participate, the price adjusts to incorporate new information and opinions. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if more people believe SMU will cover a certain spread, the price of contracts representing that outcome will increase, and vice versa. This dynamic pricing mechanism aims to create a real-time assessment of the game's likely outcome.
This market resolves around Sep 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the first quarter of the SMU vs Florida State game will be used to determine which contracts pay out. Contracts predicting a spread that matches the actual result will settle at 100, while those predicting a different spread will settle at 0. The resolution will be based on official game statistics and data sources, ensuring a transparent and objective outcome for this market.
Several factors could influence the price of contracts in this market leading up to Sep 8, 2026. News regarding key player injuries for either SMU or Florida State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Additionally, any late-breaking news about team strategy or coaching decisions might cause traders to reassess their predictions. Public sentiment, as reflected in social media and sports news, can also play a role, although the market tends to be more driven by informed traders than general public opinion.