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 11, 4:23 PM EST
Kalshi
In the New York G versus Washington game, this event focuses on whether both teams manage to score points in the fourth quarter, excluding overtime. Scoring in the final quarter can be crucial for momentum and strategy, as teams often employ different tactics to secure victory in the closing moments of the game.
If New York G and Washington both score points in the 4th quarter (excluding overtime) of the New York G vs Washington Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis beyond what is readily available to sportsbooks. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to odds that more accurately forecast the likelihood of both teams scoring in the fourth quarter. Discrepancies can arise due to differing risk assessments and the influence of public sentiment, but often, the market converges towards a similar probability as traditional betting venues.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of the event occurring—in this case, both teams scoring in the fourth quarter. As more people buy contracts, the price increases, indicating a higher perceived chance of that outcome. Conversely, selling contracts drives the price down. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, reflecting the collective predictions of all participants. This creates a real-time assessment of the event’s likelihood.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries to either team’s offense, particularly the quarterback or primary scoring threats, could significantly shift expectations. Changes in weather forecasts, such as the prediction of heavy rain or strong winds, might also impact the perceived likelihood of scoring. Furthermore, any significant shifts in public sentiment or expert analysis regarding the teams’ offensive capabilities could lead to increased trading activity and price fluctuations in this market.