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 24, 5:26 PM EST
Kalshi
These markets track how many points each team scores in the first half of an upcoming college football game. The outcomes depend on whether a team's first-half performance exceeds specific point thresholds, offering different levels of difficulty for each threshold.
All markets resolve based on the official scoring of the first half of the Michigan St. vs UCLA college football game scheduled for Oct 24, 2026. For each market, if the specified team scores more than the stated point threshold in the first half, the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, all open markets will resolve based on the final official result of that game. If the game does not start within 48 hours of its scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point thresholds or teams involved.
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 often incorporate a profit margin, while this market is driven by individuals trading on their own information and beliefs. If a significant discrepancy exists between this market and sportsbook lines, it may indicate that market participants possess information not yet fully reflected in sportsbook odds, or that differing risk assessments are at play. It's worth noting that prediction markets often become more accurate closer to the event.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the outcome of the Michigan State vs UCLA first half total points. The price of a contract ranges from 0 to 100, representing 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 buy contracts for a particular outcome, the price increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of all participants. The current price reflects the market's aggregated expectation.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the total points scored by each team during the first half of the Michigan State vs UCLA game will be used to determine the winning contracts. The official game statistics, as reported by a trusted sports data source, will serve as the basis for resolution. Traders holding contracts corresponding to the correct first-half team totals will be paid out according to the market's pricing at resolution.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries or changes to the starting lineups for either Michigan State or UCLA would likely cause significant movement. Unexpected weather conditions, if they affect the style of play, could also impact trading activity. Furthermore, late-breaking analysis from sports analysts or shifts in public perception regarding each team's performance could drive changes in the market. Even significant betting activity in traditional sportsbooks could influence sentiment and move prices on Kalshi.