TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 5:55 PM EST
Kalshi
This group covers various markets related to the University at Albany vs. Stony Brook college football game scheduled for October 17th. Markets include predicting the winner, the point spread, and the over/under total points scored.
In the upcoming college football game between University at Albany and Stony Brook, scheduled for October 17 at 2:30PM ET: This market will resolve to "University at Albany" if University at Albany win the game. This market will resolve to "Stony Brook" if Stony Brook 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 to Yes if the named team wins the specified college football game scheduled for October 17, 2026. If the game is postponed but begins within 48 hours of the original scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks are 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. The differing prices on Polymarket and Kalshi stem from several factors. Each platform has a unique user base with varying levels of expertise and access to information regarding the UAlbany vs. Stony Brook game. Trading mechanisms also play a role; Polymarket utilizes a different order book and fee structure than Kalshi. Furthermore, the liquidity – measured by volume – can fluctuate independently on each platform, impacting price discovery. These combined factors contribute to the observed price discrepancies, even though both markets address the same underlying event.