TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 12:00 AM EST
Kalshi
This event group concerns the outcome of the college football game between Tarleton State and McNeese, scheduled for September 12th. Markets will resolve based on which team wins the game, with tie and cancellation scenarios addressed.
In the upcoming college football game between Tarleton State and McNeese, scheduled for September 12 at 7:00PM ET: This market will resolve to "Tarleton State" if Tarleton State win the game. This market will resolve to "McNeese" if McNeese 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 either Tarleton State or McNeese wins the college football game scheduled for September 12, 2026. If the game is postponed but begins within 48 hours of the original start time, the market remains open and resolves based on the official result. If the game is cancelled or not started within 48 hours, the market resolves to a fair price. Kalshi is not connected with the NCAA, and all trademarks are property of their respective owners.
In the upcoming college football game between Tarleton State and McNeese, scheduled for September 12 at 7:00PM ET: This market will resolve to "Tarleton State" if Tarleton State win the game. This market will resolve to "McNeese" if McNeese 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.
On Polymarket, traders set prices through decentralized trading, while Kalshi may have different liquidity and user dynamics. 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. This can lead to variance in implied probabilities, especially when one platform has deeper volume or more active participants. Currently, Polymarket and Kalshi show distinct leading outcomes, reflecting unique trader sentiment on each venue.