TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 4:07 PM EST
Kalshi
For the same New England vs Buffalo game, a lower threshold of 28 points is used. This slightly shifts the focus to earlier scoring milestones compared to the 35-point market.
The market resolves based on which team first scores 28 points in the New England vs Buffalo Pro Football game scheduled for Oct 4, 2026. If neither team achieves this, the Neither Team market resolves Yes. Postponements within 48 hours keep the market open, with fair price resolution for delays beyond that period. The result includes the full game and overtime.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for a profit margin, whereas this market is driven purely by traders' willingness to buy or sell. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously betting on Kalshi and a sportsbook. However, it's important to remember that both represent probabilities, and neither is guaranteed to be perfectly accurate.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which team reaches 28 points first during the New England vs Buffalo game. The final score will be used to verify the winner of this market. The resolution will be based on official game statistics and data, ensuring a transparent and accurate outcome for all participants.
Several factors could influence the price of this market. Any news regarding key player injuries for either the New England or Buffalo teams would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team's offensive or defensive style, could also impact trading activity. Furthermore, in-game performance during the early stages of the game, such as a quick scoring drive by one team, could lead to rapid shifts in the odds. Public sentiment and expert analysis can also play a role, influencing trader behavior.