TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 23, 8:38 PM EST
Kalshi
This set of markets tracks the point differential in the first half of a college football game between two teams. Each market corresponds to a specific point margin threshold, allowing participants to bet on whether the winning team will exceed that margin during the first half of play.
All markets resolve based solely on points scored during the first half of the UMass vs UConn college football game scheduled for October 23, 2026. For markets where UConn is the favorite, resolution occurs if UConn wins the first half by more than the specified point margin. For markets where UMass is the underdog, resolution occurs if UMass wins the first half by more than the specified point margin. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the actual first-half result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, meaning they settle at their current trading value rather than a binary outcome. The markets cover a range of point differentials from narrow margins to substantial blowouts, providing multiple opportunities to assess the expected competitiveness of the first half.
Generally, prediction markets tend to be more accurate than traditional sportsbook odds, often reflecting the wisdom of the crowd more effectively. However, sportsbook odds are readily available and widely publicized, providing a common benchmark. It’s common to see initial discrepancies between the two, as sportsbooks set lines based on their own models and risk assessment, while this market is driven by traders expressing their beliefs. Over time, the prediction market price often converges towards the true probability of an outcome, potentially offering a more informed perspective than initial sportsbook offerings.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half of the UMass vs UConn game. The price of a contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set accurate prices, as they profit from correctly predicting the outcome. The current price indicates what traders believe is the fair value of each spread, based on available information and their analysis of the game.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final point spread of the first half of the UMass vs UConn game is verifiable from credible public reporting. The resolution will be based on the official result reported by the game’s governing body. The market will determine which contract—representing a specific point spread—accurately reflects the actual result, and those holding winning contracts will receive a payout based on the contract’s price at resolution.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the UMass or UConn teams would likely cause significant movement. Changes in team lineups, coaching strategies, or even weather conditions could also impact trader sentiment. Additionally, large volume trades on Kalshi itself can shift the price, especially if they signal informed conviction. Finally, public perception and analysis from sports commentators can indirectly influence trading activity and, consequently, the market price.