TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 5:11 PM EST
Kalshi
This set of markets evaluates various thresholds for the total points scored by both teams in the first quarter of an upcoming football game. Participants predict whether the combined score will exceed specific point totals, offering a range of difficulty levels for forecasting early-game performance.
All markets resolve based solely on the total points scored by Buffalo and Las Vegas during the first quarter of their Pro Football game scheduled for October 18, 2026. Each market has a distinct threshold: if the combined score exceeds the specified number (3.5, 6.5, 7.5, 10.5, 13.5, 14.5, 17.5, 20.5, 21.5, or 24.5 points), the market resolves to Yes; otherwise, it resolves to No. Only points scored during the first quarter count, and all markets are independent, meaning the outcome of one does not affect the others. Kalshi disclaims any affiliation with the governing league, and all trademarks remain the property of their respective owners.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set their odds to attract betting action and incorporate a profit margin, while this market allows participants to directly express their beliefs about the outcome. While sportsbooks may initially react to public sentiment, this market continuously adjusts as new information becomes available and more traders participate. It’s common to see discrepancies between the two, especially early in the market’s lifecycle, as this market aggregates diverse perspectives.
On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing their belief about whether the total score in the first quarter will be over or under a certain number. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy 'yes' contracts, the price increases, indicating a higher probability of the total being over the threshold, and vice versa for 'no' contracts. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of those trading it.
Several factors could significantly impact this market. Any news regarding injuries to key players on either the Buffalo or Las Vegas teams would likely cause movement. Changes in weather conditions, particularly if they are expected to affect the passing or running game, could also influence trading activity. Pre-game analysis from sports analysts and updated betting lines from sportsbooks can also shift sentiment. Finally, large volume trades on Kalshi itself can create momentum and drive price changes as traders react to perceived new information.