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%

BETA
CD Huachipato vs. CD Cobresal - Halftime Result

France vs Spain: 1st Half Correct Score? Odds & Prediction Markets

Total volume:
$501,093
Volume 24h:
$276,026
27%
Liquidity:
$1,510,767
37%
Open interest:
$419,566
103%
PredictionHero
CD Cobresal 99%
polymarket
CD Huachipato 99%
polymarket
Draw 99%
polymarket
07:15 PM07:15 PM07:2…98.899.099.2

Time left: 12d:02h:09m

CD Cobresal leading at halftime?

99%chance
Amount

$

$20

$50

$100

$500

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
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7d
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Ends in
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Description

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.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Market structure divergence: Kalshi uses discrete correct-score markets while Predict uses outcome-based (1X2) markets. Additionally, Predict's cancellation logic is asymmetric across its three outcome markets.Hero tip: Treat Kalshi and Predict as separate product lines. Kalshi requires exact score prediction; Predict requires only outcome direction. Be aware that if the match is canceled, Predict's Draw market pays out (Yes) while FRA and ESP markets lose (No)—creating an unhedged cancellation exposure.

Critical divergence points:

  • Kalshi: Correct-score market structure. Resolves Yes only if halftime score matches one of 13 enumerated scorelines (0-0, 0-1, 0-2, 0-3, 1-0, 1-1, 1-2, 1-3, 2-0, 2-1, 2-2, 3-0, 3-1). Any other score resolves No. No explicit cancellation clause provided. Key Quote: 'If the score at the end of the 1st Half is France [X], Spain [Y]... then the market resolves to Yes.'
  • Predict: Outcome-based (1X2) market structure with three separate binary markets: FRA (France leading), Draw (tied), ESP (Spain leading). Each resolves independently on outcome direction. Critical divergence: FRA and ESP resolve No if game is canceled; Draw resolves Yes if game is canceled. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve No' (FRA/ESP) vs. 'this market will resolve Yes' (Draw).
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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Polymarket

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.

Kalshi

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.

Predict

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.

Frequently asked questions

This dashboard aggregates the France vs Spain first half correct score market across Kalshi and Predict, tracking real-time odds and trading volume on halftime outcomes. Traders on both venues are pricing the likelihood of various first-half scorelines, with combined volume of $501,044 across the event. Kalshi currently favors Will the 1st half score be Draw 0-0? at 33.0%, while Predict leans toward France vs. Spain: Draw at halftime? at 45.0%. The cross-platform view reveals how different prediction markets value the same halftime result, offering insight into consensus expectations and where disagreement exists between venues.

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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