TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 15, 11:55 PM EST
Polymarket
Player prop markets for the NFL game between the Seahawks and Broncos, scheduled for October 15 at 8:15 PM ET.
Player prop markets for the NFL game between the Seahawks and Broncos, scheduled for October 15 at 8:15 PM ET.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and need to account for a profit margin, while this market is driven by traders directly expressing their beliefs about the likelihood of each outcome. If a significant discrepancy exists between this market and sportsbook lines, it might signal an opportunity for arbitrage, where traders can profit by simultaneously betting on both sides. However, it's important to remember that prediction markets are not always more accurate, and both can be influenced by various factors.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the probability of a particular player prop outcome. As more shares are purchased for a specific outcome, its price increases, reflecting a higher perceived likelihood. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share effectively represents the implied probability of that outcome occurring. This dynamic pricing allows the market to aggregate information from a diverse group of participants, potentially leading to more accurate predictions than traditional methods.
This market resolves around Oct 16, 2026, with the outcome confirmed once the official statistics for the Seahawks-Broncos game are verifiable from credible public reporting. The resolution will be based on the final, official player statistics released by the NFL for the game in question. These statistics will be used to determine whether each player prop outcome was successful or not. The platform will then distribute payouts to traders holding winning shares in this market.
Several factors could influence the price movement of this market before resolution. Late-breaking news regarding player injuries or changes in team strategy would likely have a significant impact. Unexpected weather conditions affecting the game could also shift probabilities, particularly for passing or rushing props. Public sentiment, as reflected by news articles, social media discussions, and expert analysis, can also contribute to price fluctuations. Finally, large trades within this market itself can create momentum and move the odds, especially if they signal informed betting activity.