TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 11:02 AM EST
Polymarket
More markets for the 2. Bundesliga game, scheduled for October 10 at 7:00 AM ET.
More markets for the 2. Bundesliga game, scheduled for October 10 at 7:00 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, representing their profit margin. This market, driven by the collective wisdom of traders on Polymarket, aims to represent the true probability of each outcome. While sportsbooks may initially set lines based on expert analysis, this market dynamically adjusts as more information becomes available and more participants weigh in, potentially offering a more accurate assessment of the event’s likelihood.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in different outcomes of the Darmstadt vs. Cottbus match. As more shares are purchased for a particular outcome, its price increases, indicating growing confidence. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share reflects the probability of that outcome occurring, as perceived by the market participants. This dynamic pricing ensures the market remains responsive to new information and changing sentiment.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Darmstadt vs. Cottbus match, as reported by a recognized sports data provider. The market will determine which outcome—a win for Darmstadt, a win for Cottbus, or a draw—actually occurred. All outstanding shares will then be settled accordingly, reflecting the final result of the game.
Several factors could influence trading activity in this market. Any news regarding player injuries, team form, or tactical changes could shift expectations and impact prices. Unexpected announcements about the match schedule or venue could also be significant. Furthermore, public sentiment, as reflected in social media or expert analysis, can influence trader behavior. Major upsets in related matches or broader sporting events might also indirectly affect this market, leading to increased volume and price fluctuations.