TOTAL VOLUME:
$148.6b
24H VOL:
$137,183,717
24H TRANSACTIONS:
2,817,625,700
OPEN INTEREST:
$1,798,208,113
456,907
Markets across
34,819
events
MATCHED EVENTS:
2,792
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
O/U 24.5
all
2 markets
Polymarket
Predict
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Oct 25, 2026
Time left: 03h:50m:48s
$
This market tracks the outcome of the 2H Spread for the NFL game between the Pittsburgh Steelers and the New Orleans Saints. Currently, the consensus probability favors Saints (-16.5) winning at 100.0%. This aggregate view combines data from Predict and Polymarket, and will resolve based on the official NFL game book as published on NFL.com. Keep an eye on the game itself on October 25th, as the final score will determine the outcome of this market.
In the upcoming NFL football game between Steelers and Saints, scheduled for October 25 at 9:30AM ET: This market will resolve to "Steelers" if Steelers win the game. This market will resolve to "Saints" if Saints 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.
In the upcoming NFL football game between Steelers and Saints, scheduled for October 25 at 9:30AM ET: This market will resolve to "Steelers" if Steelers win the game. This market will resolve to "Saints" if Saints 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.
Prediction market odds, like those you see on this market, often reflect a different kind of information than sportsbook odds. Sportsbooks set lines to balance betting action and incorporate a profit margin, while prediction markets are driven by individuals betting on what they genuinely believe will happen. This can lead to discrepancies, as prediction markets may be more sensitive to insider information or nuanced analysis. However, both serve as valuable indicators of expected outcomes, and comparing them can offer a more complete picture of the potential result of the Steelers-Saints game.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Predict may diverge due to differing user bases, trading incentives, and market-specific rules. Polymarket might attract more sophisticated traders with access to different information, while Predict could have a broader range of participants with varying levels of expertise. Furthermore, the liquidity and volume on each platform can influence price discovery. These factors contribute to potentially different probabilities being assigned to the same outcome, even for the Steelers-Saints game. It’s important to consider these nuances when interpreting the market signals from both venues.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Steelers-Saints game, as reported by official sources, will determine the winning outcome in this market. We rely on publicly available data to ensure an objective and transparent resolution process, reflecting the actual game result. Traders should monitor official sources for updates as the game approaches its conclusion.
Several factors could influence trading activity and shift the odds on this market. Key player injuries, changes in weather forecasts, or significant news regarding team strategies could all impact predictions. Unexpected announcements about player availability or coaching decisions are likely to generate trading volume. Public sentiment, as reflected in media coverage and social media discussions, can also play a role. Monitoring these signals can help you understand how the market is reacting to new information and potentially identify opportunities.