TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 3:20 PM EST
Kalshi
This prediction group covers the college football game between Middle Tennessee and Kansas scheduled for October 3rd. Markets include the winner of the game, point spreads, and over/under totals for points scored by both teams and in various game segments.
In the upcoming college football game between Middle Tennessee and Kansas, scheduled for October 3 at 12:00PM ET: This market will resolve to "Middle Tennessee" if Middle Tennessee win the game. This market will resolve to "Kansas" if Kansas 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 specified team wins the college football game originally scheduled for Oct 3, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the NCAA. All trademarks, logos, and brand names are the property of their respective owners.
Prices on Polymarket and Kalshi for the Middle Tennessee vs. Kansas game can differ due to several factors. 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. Each platform has its own user base, trading rules, and liquidity, which can influence price discovery. Additionally, the specific markets offered on each platform may not be identical; one might focus on the outright winner, while the other offers more granular options. These differences in market structure and participant behavior contribute to the observed price variations, even when tracking the same underlying event.