TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 5:06 PM EST
Kalshi
This set of markets tracks various scoring thresholds for the first half of an upcoming college football game. Each threshold represents a different level of combined points that the two teams might achieve before halftime. The outcomes depend solely on the actual points scored during that specific half.
All markets resolve based on the total points scored by both teams combined during the first half of the Eastern Michigan vs UMass college football game scheduled for October 3, 2026. Each market has a specific threshold: if the combined score exceeds that threshold, the market resolves to 'Yes'; otherwise, it resolves to 'No'. 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 final result of that game. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the likely outcome. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probabilities of different scenarios for the Eastern Michigan vs UMass game. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of the event occurring – in this case, the first half total points being over or under the specified line. As more people buy contracts predicting a certain outcome, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism reflects the aggregated beliefs of all participants, creating a real-time assessment of the likelihood of different first-half scoring totals in the Eastern Michigan vs UMass matchup.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first half of the Eastern Michigan vs UMass game will be used to determine whether the total points scored were over or under the line established on Kalshi. The resolution will be based on official game statistics, ensuring an objective and transparent outcome for all traders participating in this market. The result will be publicly available following the conclusion of the first half.
Several signals could influence the price of this market before it resolves. Any news regarding key player injuries for either Eastern Michigan or UMass would likely have a significant impact, as would updates on weather conditions that could affect scoring. Changes in public perception, perhaps driven by pre-game analysis or expert predictions, could also shift the market. Finally, large volume trades on Kalshi themselves can cause price movements, especially if they indicate strong conviction from informed traders about the likely first-half total in the Eastern Michigan vs UMass game.