TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 10:04 PM EST
Kalshi
This market tracks whether Texas A&M will score over or under 6.5 total touchdowns in their college football game against Missouri State. Currently, the consensus probability across Kalshi and Polymarket is 100.0% that Texas A&M will score over 6.5 touchdowns, based on official NCAA game results and statistics. This event group covers outcomes including win conditions, point spreads, and total points scored in the game scheduled for September 5 at 7:00 PM ET, so watch the game itself on that date to see if Texas A&M exceeds the threshold.
In the upcoming college football game, scheduled for September 5 at 7:00PM ET: If Missouri State wins, the market will resolve to "Missouri State". If Texas A&M wins, the market will resolve to "Texas A&M". 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.
All markets resolve based on whether the combined points scored by both teams in the Missouri St. vs Texas A&M college football game scheduled for Sep 5, 2026, exceed specified thresholds. Each market has a unique threshold, ranging from 32.5 to 74.5 points. If the game is postponed but starts within 48 hours of the original time, all markets remain open and resolve according to the final official score. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold they selected.
Prediction market odds on this market often diverge from traditional sportsbook lines due to different participant dynamics and information sets. While sportsbooks may set a fixed spread or total, traders adjust prices based on evolving perceptions of team performance, injuries, and game conditions, which can lead to more volatile or contrarian pricing than standard betting platforms.