TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 6:57 PM EST
Polymarket
This market tracks whether the total number of receptions by the Tulsa team in their game against Navy will be over or under 19.5. Currently, the consensus probability across Kalshi and Polymarket is 100.0% that Tulsa Total Receptions will be over/under 19.5, as determined by final official game results reported on https://www.ncaa.com/. This prediction market group covers various aspects of the upcoming college football game, and traders should watch the game itself on October 10th to see if Tulsa exceeds or falls short of this reception total.
In the upcoming college football game between Tulsa and Navy, scheduled for October 10 at 3:30PM ET: This market will resolve to "Tulsa" if Tulsa win the game. This market will resolve to "Navy" if Navy 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.
All markets resolve based on the combined points scored by both teams during the first half of the Tulsa vs Navy college football game scheduled for October 10, 2026. Each market has a specific threshold (ranging from 2.5 to 41.5 points); if the total first-half points exceed the threshold, the market resolves to 'Yes.' Postponements are handled such that if the game starts within 48 hours of the original time, it remains active and resolves based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count, and Kalshi explicitly states it is not affiliated with the NCAA.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to freely express their beliefs. This can lead to discrepancies, especially when public sentiment strongly diverges from expert analysis. However, both types of odds aim to accurately forecast the probability of an event occurring, and both can be valuable tools for informed decision-making when considering the Tulsa vs. Navy game.
Several factors could influence trading activity and shift the probabilities in this market. Key player injuries, changes in weather forecasts, or significant news regarding team performance could all impact trader sentiment. Unexpected announcements about coaching strategies or team morale could also play a role. As the game approaches, any information that alters perceptions of each team's chances of winning is likely to cause movement in this market, reflecting the collective intelligence of traders.