TOTAL VOLUME:
$154.8b
24H VOL:
$238,896,186
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,934,485
408,127
Markets across
39,552
events
MATCHED EVENTS:
4,429
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 11:25 AM EST
Polymarket
More markets for the 2. Bundesliga game, scheduled for October 11 at 7:30 AM ET.
More markets for the 2. Bundesliga game, scheduled for October 11 at 7:30 AM ET.
Typically, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, reflecting their profit margin. This market, however, is driven purely by the collective predictions of traders, potentially offering a more accurate reflection of true probabilities. While sportsbooks may initially set odds based on expert analysis, this market evolves as new information and opinions are factored in by participants. It’s common to see discrepancies between the two, especially as the event approaches and more trading activity occurs.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome. The price of a share directly reflects the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the price fluctuates, providing a dynamic assessment of the event's potential results. The market's efficiency relies on informed traders and the aggregation of diverse opinions, leading to a collective prediction of the Hertha vs. Fürth match outcome.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Hertha BSC versus SpVgg Greuther Fürth match, as determined by the governing football authorities. The platform will verify the result against established sports data sources to ensure accuracy. Traders who correctly predicted the outcome will be entitled to a payout based on the final share price at the time of resolution, while those who predicted incorrectly will forfeit their stake.
Several factors could influence trading activity and shift the odds in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly impact expectations. Furthermore, the performance of both teams in their preceding matches, as well as any tactical adjustments announced before the game, could also drive price movements. Even broader factors, such as weather conditions on match day or public sentiment expressed through social media, might play a role in shaping trader behavior and influencing the price of shares in this market.