TOTAL VOLUME:
$154.1b
24H VOL:
$181,481,432
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,827,991,073
405,996
Markets across
40,551
events
MATCHED EVENTS:
4,368
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:31 PM EST
Polymarket
This prediction group covers the college football game between Cincinnati and West Virginia scheduled for October 17th. Markets exist for the game's outcome (win/loss), point spreads, and over/under totals for points scored by both teams and in various game segments.
In the upcoming college football game between Cincinnati and West Virginia, scheduled for October 17 at 12:00PM ET: This market will resolve to "Cincinnati" if Cincinnati win the game. This market will resolve to "West Virginia" if West Virginia win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves based on the winner of the Cincinnati vs West Virginia college football game scheduled for October 17, 2026. If the contest is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final official result. Should the game be cancelled or fail to start within this 48-hour window, the market will resolve to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Kalshi often arise due to variations in trader demographics, market-making activity, and the specific types of markets offered. For example, Polymarket might attract a different user base than Kalshi, leading to differing opinions reflected in the prices. Additionally, the liquidity and trading volume on each platform can influence price discovery. These factors contribute to the dynamic pricing observed, even though both platforms are ultimately tracking the same underlying event – the Cincinnati vs. West Virginia game.
Several signals could significantly impact this market. Any news regarding key player injuries, changes in coaching strategies, or unexpected weather conditions could shift trader sentiment. Significant betting activity in traditional sportsbooks could also influence prices, as traders often incorporate external information into their predictions. Furthermore, public perception and media coverage surrounding the teams’ performance and prospects can play a role in driving volume and adjusting probabilities in this market. Monitoring these factors will be crucial for understanding price movements.