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Mexico vs Republic of Korea: First Half Spread
kalshi

Mexico vs Republic of Korea: First Half Spread

Volume:
$628,842

Mexico wins the 1H by over 1.5 goals

 - Kalshi

Mexico wins the 1H by over 1.5 goals - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 19, 2026

Closed: Jun 18, 9:50 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Mexico wins the 1H by over 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$422,134
N/A
N/A
$318,989
Settled
No
kalshi

Republic of Korea wins the 1H by over 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$206,708
N/A
N/A
$172,917
Settled
No
Total markets: 2

Description

A team achieves a large goal margin during the first half of a World Cup soccer match.

Kalshi

The first half spread market determines whether Mexico or Republic of Korea achieves a goal differential exceeding 1.5 goals during the first 45 minutes plus stoppage time of their June 18, 2026 FIFA World Cup match. Two outcomes are evaluated: Mexico winning the first half by more than 1.5 goals, or Republic of Korea winning the first half by more than 1.5 goals. Only goals scored during the first half count toward this determination. If the match is cancelled or rescheduled more than two weeks away, the market resolves to a fair price in accordance with the rules.

Frequently asked questions

Prediction market odds on Kalshi reflect aggregated trader sentiment and real-money stakes, often diverging from traditional analyst forecasts. While sports analysts may rely on historical team performance, injury reports, and tactical analysis, prediction markets incorporate live information and dynamic risk assessment. Comparing Kalshi odds to published expert predictions reveals whether the market is pricing in factors analysts have overlooked or underweighted. These differences can highlight undervalued or overvalued outcomes in the first-half spread, offering traders an edge when market consensus conflicts with expert opinion.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Mexico vs Republic of Korea: First Half Spread is priced as a binary or spread contract reflecting the probability-weighted market expectation of the first-half goal differential. Prices range from 0 to 100 cents, where each cent represents a one-percent probability increment. Traders buy or sell contracts based on their conviction that Mexico will cover or fail to cover the spread threshold by halftime. Kalshi's pricing mechanism updates continuously as new trades execute, ensuring the contract price remains aligned with real-time market sentiment and incoming information about team form, lineups, or match conditions.

The Mexico vs Republic of Korea: First Half Spread market resolves on Jun 19, 2026. Resolution is determined by the official first-half score at the end of the opening 45 minutes of the match. The outcome hinges on whether Mexico's goal total minus Republic of Korea's goal total meets, exceeds, or falls short of the specified spread threshold. Only goals scored during regulation first-half play count toward settlement; stoppage time goals are included as part of the first half. Official match records from the governing soccer federation establish the final first-half scoreline used for resolution.

Several factors can shift odds for the Mexico vs Republic of Korea: First Half Spread before kickoff and during the first half. Pre-match catalysts include confirmed team lineups, late injury announcements, weather conditions at the venue, and betting-market momentum. During the match, early goals, red cards, or tactical adjustments by either team will trigger rapid repricing. Momentum swings—such as Mexico dominating possession or Republic of Korea capitalizing on counterattacks—influence trader conviction about the final first-half differential. Breaking news on player fitness or unexpected tactical changes can also move the market significantly as traders recalibrate their probability estimates.