TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
This event group concerns the halftime result of a Premier League match between Liverpool FC and Brighton & Hove Albion FC. Markets exist to predict which team, if any, will be leading at halftime, or if the game will be tied.
In the upcoming Premier League game between Liverpool FC and Brighton & Hove Albion FC, scheduled for October 25, 2026 at 10:00 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 Premier League game between Liverpool FC and Brighton & Hove Albion FC, scheduled for October 25, 2026 at 10:00 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 in this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief, leading to more fluid price discovery. While sportsbooks may incorporate expert analysis, this market benefits from the insights of many participants. Differences can arise due to varying information access, biases, and the incentive structures inherent in each type of venue.
Prices on Polymarket and Predict for the Liverpool vs. Brighton halftime market can diverge due to several factors. 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. Each platform has its own user base, trading limits, and fee structures, all of which can influence price discovery. Furthermore, differing levels of information access and interpretation among traders on each platform can lead to varied assessments of the probability of each outcome. Market sentiment and trading activity can also shift independently on each platform, causing temporary price discrepancies. These differences reflect the dynamic nature of prediction markets and the diverse perspectives of participants.