TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 1:45 PM EST
Kalshi
This event tracks the performance gap between two college football teams during a specific quarter of their game. It focuses exclusively on the points scored in the second quarter, ignoring the rest of the match outcome.
The event determines whether either team wins the second quarter by a specified margin of points. Each market corresponds to a different point differential threshold, ranging from over 2.5 points to over 10.5 points, for either UCF or Houston. Only points scored during the second quarter count toward resolving these markets. If the game is postponed but starts within 48 hours of the original time, the market remains active and resolves based on the official result. If the game does not start within this window, the market resolves to a fair price. The markets are independent, with each evaluating its specific threshold for the designated team.
Typically, prediction market odds offer a distinct perspective compared to traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders. Often, prediction markets are more accurate forecasts of event outcomes, as they aggregate diverse opinions and incentivize informed participation. However, sportsbook odds can be influenced by public betting patterns and promotional offers, creating differences you’ll observe when comparing them to the probabilities implied by this market.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the UCF vs Houston spread. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders believe UCF will win by a certain margin, the price of contracts reflecting that outcome will increase, and vice versa. This dynamic pricing mechanism ensures the market reflects the most up-to-date expectations.
This market resolves around Oct 3, 2026, with the outcome confirmed once the final second-quarter spread of the UCF vs Houston game is verifiable from credible public reporting. The resolution will be based on the official point difference at the end of the second quarter, as determined by official game statistics. The market will then pay out to traders holding contracts on the winning outcome, based on the final price of those contracts at resolution.
Several factors could significantly impact this market. Any news regarding injuries to key players on either the UCF or Houston teams would likely cause the market to shift. Changes in weather conditions, particularly if they favor one team’s playing style, could also influence trading activity. Furthermore, late-breaking news about coaching strategies or team morale could impact traders’ expectations and move the spread. Public perception and analysis from sports commentators can also play a role in shaping market sentiment.