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: Nov 1, 11:38 AM EST
Polymarket
This group forecasts the halftime result of a soccer match between 1. FC Union Berlin and 1. FC Köln. Markets exist for Union Berlin leading, a draw, or Köln leading at halftime.
In the upcoming Bundesliga game between 1. FC Union Berlin and 1. FC Köln, scheduled for November 1, 2026 at 9:30 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Bundesliga game between 1. FC Union Berlin and 1. FC Köln, scheduled for November 1, 2026 at 9:30 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Prediction market odds, like those found on Polymarket and Predict, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set lines to balance action and ensure profit, while prediction markets allow participants to directly express their beliefs, creating a more accurate reflection of true probabilities. This market, specifically, may show discrepancies based on factors like public sentiment, expert analysis incorporated by traders, and the liquidity available on each platform. These differences can present opportunities for informed traders to find value.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Predict for the Union Berlin vs Köln halftime result can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information. Trading volume and market depth also play a role; a market with higher volume on one platform tends to have more efficient price discovery. Furthermore, differing risk appetites and interpretations of available data among traders on each platform contribute to price discrepancies. These factors create independent assessments of the likely outcome.