TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 29, 11:15 PM EST
Predict
Player prop markets for the NFL game between the Panthers and Packers, scheduled for October 29 at 8:15 PM ET.
Player prop markets for the NFL game between the Panthers and Packers, scheduled for October 29 at 8:15 PM ET.
Generally, prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their money behind their beliefs. It's common to see discrepancies, especially early on, as prediction markets can be more sensitive to information and less influenced by biases inherent in sportsbook modeling. However, as the event approaches, the odds tend to converge.
On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy contracts predicting a specific result, the price increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing allows the market to quickly incorporate new information and adjust probabilities in real-time, providing a forward-looking assessment of potential event outcomes.
This market resolves around Oct 30, 2026, with the outcome confirmed once the official statistics from the Panthers vs. Packers game are verifiable from credible public reporting. The resolution will be based on the actual performance of the players as recorded by official sources. For player prop markets, this typically involves verifying stats like receiving yards, touchdowns, or rushing attempts against official game logs. The platform will then determine which outcome aligns with the verified results to settle the market.
Several factors could influence trading activity in this market. Injury reports concerning key players on either the Panthers or the Packers are significant catalysts, as they directly impact player performance expectations. Unexpected weather conditions, such as heavy rain or strong winds, could also shift probabilities, particularly for passing-focused props. Late-breaking news regarding player matchups or coaching strategies could also lead to market movement. Finally, large trading volume from informed participants could signal shifts in sentiment and cause prices to change.