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 12, 12:04 AM EST
Kalshi
This set of markets evaluates individual player and team defensive performance in an upcoming football game, focusing on whether specified athletes or units achieve certain fantasy point thresholds. The outcomes depend on detailed statistical contributions during the match, measured by a standardized fantasy scoring system. Each market is independent, assessing different participants' potential impact.
All markets resolve based on fantasy points accumulated by specified players or defensive units in the full duration of the Baltimore vs Atlanta Pro Football game scheduled for Oct 11, 2026, including any overtime periods. Fantasy points are calculated using Sleeper’s default full-PPR scoring system, which awards points for various in-game achievements such as passing, rushing, receiving yards, touchdowns, interceptions, and defensive plays. Players who do not participate or are not assigned a fantasy-point value by Sleeper are considered to have scored zero points. The official fantasy-point totals published by Sleeper at the time of market expiration are used for resolution, with no adjustments for post-expiration corrections or rounding. Each market has a unique threshold; if the specified athlete or unit exceeds their respective point threshold, the market resolves to 'Yes'; otherwise, it resolves to 'No.'
Generally, prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which may be influenced by factors like public bias or sharp action. Sportsbooks set odds to balance their risk and ensure profitability, while this market allows traders to express their own independent assessments of the likely outcome. Over time, the prices in this market can converge with or diverge from sportsbook odds as new information emerges and participants refine their predictions. It’s common to see discrepancies, particularly before a significant event or breaking news impacts expectations.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the total fantasy points scored. The price of a contract reflects the probability of that outcome occurring, with higher prices indicating a greater perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. This dynamic pricing mechanism allows the market to aggregate information from a diverse range of participants, potentially leading to more accurate predictions than traditional methods.
Several factors could influence the price of this market. Any news regarding key player injuries or changes in team lineups would likely have a significant impact, as these directly affect projected fantasy point totals. Unexpected weather conditions during the game could also shift expectations. Furthermore, late-breaking news about player performance or strategic adjustments could cause traders to reassess their predictions. Even broader trends in team performance or offensive/defensive matchups could contribute to price movements in this market.