TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 7:38 PM EST
Polymarket
This group contains prediction markets on player performance statistics and first touchdown scorer props for the Ravens vs. Bills NFL game on November 1st. Markets cover passing touchdowns, passing attempts, passing completions, anytime touchdowns, and longest receptions for key players like Josh Allen, Derrick Henry, James Cook III, Khalil Shakir, Mark Andrews, and Zay Flowers.
Player prop markets for the NFL game between the Ravens and Bills, scheduled for November 1 at 1:00 PM ET.
Player prop markets for the NFL game between the Ravens and Bills, scheduled for November 1 at 1:00 PM ET.
Prediction market odds, like those found in this market, often reflect a different kind of information than traditional sportsbook odds. Sportsbooks set lines to balance their risk and incorporate a profit margin, while prediction markets are driven by the collective forecasts of informed traders. This can lead to discrepancies, as prediction markets can sometimes identify mispriced outcomes more efficiently. However, both types of odds are influenced by public perception and news events. It’s common to see convergence as the event approaches, but differences can still persist, offering potential arbitrage opportunities for savvy bettors.
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. Price discrepancies between Polymarket and Predict on this market can arise from several factors. Differences in user base, trading activity, and information access can all contribute to varying perspectives on player performance. Additionally, each platform has its own unique risk assessment and fee structure, influencing how traders price their predictions. The differing probabilities reflect the individual market dynamics on each platform, and the overall volume traded on Polymarket and Predict provides insight into the relative conviction behind each outcome.
Several signals could significantly impact this market. Any news regarding player injuries, changes in weather conditions, or adjustments to team strategies could shift trader sentiment. Unexpected announcements about player availability, even late in the week, are particularly influential. In-game events, such as early touchdowns or key defensive stops, could also cause rapid price movements. Monitoring social media and news sources for updates on player status and game-day developments will be crucial for understanding potential shifts in this market.