TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 4, 11:29 PM EST
Kalshi
This market tracks the outcome of the LIU vs. Kansas college football game, specifically whether LIU will win the 2H Moneyline. Currently, the consensus probability of LIU winning is 100.0%, aggregated from Kalshi and Polymarket. The resolution source for this market is whether LIU wins the LIU vs Kansas college football game originally scheduled for Sep 4, 2026, which will determine a Yes resolution. Traders should watch the game itself on September 4, 2026, to see if LIU secures a victory and resolves this market.
In the upcoming college football game, scheduled for September 4 at 8:00PM ET: If LIU wins, the market will resolve to "LIU". If Kansas wins, the market will resolve to "Kansas". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.
The market resolves based on the winner of the LIU vs Kansas college football game scheduled for September 4, 2026. If either team wins the game as officially recorded, the corresponding market will resolve to Yes. If the game 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 the 48-hour window, the market will resolve to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks referenced belong to their respective owners.
On Polymarket and Kalshi, this market can show price gaps due to variations in user participation, liquidity, and design rules across the platforms. 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. For example, differing trader bases may weight news or analysis differently, and each venue’s fee structure can influence strategy. Additionally, the way contracts are structured or settled can cause temporary mismatches, especially as new data influences expectations in the run-up to the event.