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 6, 6:43 PM EST
Polymarket
This event group concerns the halftime result of a soccer match between Luxembourg and Bulgaria, scheduled for October 6, 2026. Markets exist to predict whether Luxembourg, Bulgaria, or a draw will be the leading outcome at halftime.
In the upcoming UEFA Nations League game between Luxembourg and Bulgaria, scheduled for October 6, 2026 at 2:45 PM 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 UEFA Nations League game between Luxembourg and Bulgaria, scheduled for October 6, 2026 at 2:45 PM 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 for this market, often reflect the collective wisdom of a diverse group of traders. This can lead to odds that differ from traditional sportsbooks, which may be influenced by factors like house bias or public perception. Sportsbooks typically set odds to maximize profit, while prediction markets aim for accurate probability assessment. Therefore, discrepancies can emerge, particularly when information asymmetry exists or when a significant amount of informed trading occurs on the prediction market platforms. This market provides an alternative view to traditional betting options.
Prices for the Luxembourg vs. Bulgaria halftime result market may differ between Polymarket and Predict due to variations in trader demographics, liquidity, and risk appetite. 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 also has its own unique fee structure and user base, which can influence trading behavior and, consequently, price discovery. Furthermore, differing levels of information available to traders on each platform, or interpretations of that information, can lead to discrepancies in the perceived probabilities of different halftime outcomes. These factors contribute to the dynamic pricing observed across prediction markets.