TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:36 PM EST
Kalshi
This set of markets tracks various scoring thresholds for the first half of a college football game between Miami (OH) and UMass. Each threshold represents a different level of combined points that the two teams might achieve before halftime. The outcomes depend on whether the total points exceed specific numerical benchmarks.
All markets resolve based on the total points scored by both teams combined during the first half of the Miami (OH) vs UMass college football game scheduled for October 10, 2026. Each market has a unique threshold, ranging from 2.5 to 41.5 points; if the combined first-half score exceeds the respective threshold, the market resolves to 'Yes.' Only points scored in the first half count. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. As more information becomes available – such as injury reports or weather forecasts – this market tends to incorporate that data quickly, potentially leading to odds that are more accurate than those found at traditional sportsbooks. It's common to see discrepancies, especially early in the betting cycle.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether the 1st half total will be over or under a certain number. The price of these contracts reflects the probability of that outcome, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded and inaccurate predictions can lead to losses. This dynamic pricing mechanism aims to converge towards the true probability of the event occurring.
This market resolves around Oct 10, 2026, with the outcome confirmed once the official result of the Miami (OH) vs UMass 1st half total is verifiable from credible public reporting. The final score of the first half will be used to determine whether the total points scored were above or below the threshold defined by the market. The resolution will be based on the official game statistics as reported by the governing sports body, ensuring a transparent and verifiable outcome for all participants in this market.
Several factors could significantly influence this market. Any news regarding key player injuries for either Miami (OH) or UMass would likely cause movement, as would changes in weather forecasts that could impact scoring. Significant line movement in traditional sportsbooks could also attract attention and influence trading activity. Finally, public perception and any late-breaking news or analysis regarding team strategies or matchups could all contribute to shifts in the price of contracts within this market before it resolves.