TOTAL VOLUME:
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24H VOL:
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2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
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events
MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
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VS.
Kalshi:
61%
Closed: Sep 25, 2:02 PM EST
Polymarket
This group forecasts the halftime result of a FIFA International Friendly match between India and Panama on September 25, 2026. Markets exist for India leading, a draw, or Panama leading at halftime, based on the score at the end of the first 45 minutes plus stoppage time.
In the upcoming FIFA International Friendlies game between India and Panama, scheduled for September 25, 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 FIFA International Friendlies game between India and Panama, scheduled for September 25, 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 in this market, often reflect the 'wisdom of the crowd,' 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 a more organic price discovery process. Discrepancies can arise due to differing information access, biases, or simply variations in the participants. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges.
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 India vs. Panama halftime result market can diverge due to several factors. Each platform attracts a different user base with varying risk appetites and information access. Trading volume and liquidity also play a role; lower volume on one platform can lead to greater price swings. Furthermore, differing market-making strategies and the specific incentives offered by each platform can influence price discovery. While both platforms aim to predict the same outcome, these factors contribute to potential discrepancies in the probabilities reflected in their respective prices.