TOTAL VOLUME:
$95.4b
24H VOL:
$136,136,782
24H TRANSACTIONS:
928,180,930
OPEN INTEREST:
$2,018,927,408
804,873
Markets across
14,204
events
MATCHED EVENTS:
834
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
Time left: 12d:02h:09m
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In the upcoming Chile Primera game between CD Huachipato and CD Cobresal, scheduled for July 25, 2026 at 5:30 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 Chile Primera game between CD Huachipato and CD Cobresal, scheduled for July 25, 2026 at 5:30 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.
The first half correct score market resolves based on the exact scoreline between France and Spain at the conclusion of the first half of their FIFA World Cup match on July 14, 2026. The market covers all possible halftime results, with outcomes representing specific score combinations such as 0-0, 1-0, 2-1, and other variations up to 3-3. Resolution is determined by the official final score recorded at the end of the first half, including any stoppage time added by the referee during that period. Only the score at the halftime whistle determines the winning outcome.
In the upcoming FIFA World Cup game between France and Spain, scheduled for July 14, 2026 at 3:00 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 markets like Kalshi and Predict derive odds directly from trader positions rather than bookmaker margins, often reflecting sharper consensus on event outcomes. Sportsbooks apply built-in profit margins and may adjust lines based on liability rather than pure probability. This market has seen $240,862 in 24-hour volume, indicating active pricing discovery. Prediction market odds tend to converge toward true probability over time as traders with better information profit from mispricings. For halftime results, prediction markets can be particularly efficient because the outcome resolves quickly, limiting the window for sustained arbitrage.
Kalshi 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 attracts different trader demographics, liquidity pools, and fee structures, leading to temporary price gaps. Kalshi may have deeper volume in draw scenarios, while Predict could reflect stronger conviction among its user base on alternative outcomes. Regulatory differences and settlement mechanics between venues can also influence how traders price tail risks. These divergences typically narrow as informed traders arbitrage across platforms, but they persist due to withdrawal friction, platform-specific incentives, and the natural lag in information propagation between separate order books.
Team news—injuries, lineup changes, or tactical shifts announced before kickoff—can shift halftime score expectations significantly. Early match momentum, such as an early goal or red card, will trigger sharp repricing as traders update their forecasts in real time. Weather conditions and pitch quality may influence pace and scoring likelihood. Betting syndicates and sharp traders entering large positions can move odds rapidly, especially on lower-volume platforms. Social media sentiment and mainstream sports commentary can also sway retail trader positioning. The closer to kickoff, the more stable prices typically become as uncertainty resolves.
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