TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Argentina vs Cabo Verde - Player Props
predict

What is the result of Argentina vs Cabo Verde?

Volume:
$473,654

Lionel Messi Total Goals

 - Predict

Lionel Messi Total Goals - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 9:00 PM EST

predict

Predict

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
predict

Lionel Messi Total Goals

View
N/A
N/A
—
$2,326
$425,618
N/A
N/A
N/A
Settled
Yes
predict

Lautaro Martinez Total Goals

N/A
N/A
—
$1,750
$48,036
N/A
N/A
N/A
Settled
Yes
Total markets: 2

Description

Player prop markets for the FIFA World Cup game between Argentina and Cabo Verde, scheduled for July 3 at 6:00 PM ET.

Predict

Player prop markets for the FIFA World Cup game between Argentina and Cabo Verde, scheduled for July 3 at 6:00 PM ET.

Frequently asked questions

On Predict, the Argentina vs Cabo Verde player props market dashboard tracks real-time odds and trading activity for individual player performance outcomes during this matchup. The interface displays current probabilities for specific player achievements—such as goals scored, assists, or other statistical milestones—alongside live price movements. You can monitor how odds shift as new information emerges, review historical price charts, and observe trading volume to gauge market confidence in each prop. This dashboard gives traders a transparent view of how the market is pricing each player's likelihood of hitting their target performance threshold.

Prediction markets and traditional sportsbooks price player props using different mechanisms. Sportsbooks set odds based on their internal models and risk management, then adjust them to balance their book. Prediction markets like this one rely on continuous trader participation—odds emerge from supply and demand as participants buy and sell shares. This often results in sharper, more responsive pricing since traders have direct financial incentive to correct mispricings. Comparing this market's odds to major sportsbooks can reveal where consensus diverges, though each venue reflects its own participant base and liquidity conditions.

On Predict, this market is priced through an order-book mechanism where traders submit bids and asks for each player prop outcome. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices adjust continuously as new orders arrive and existing positions are filled, creating a dynamic equilibrium that reflects real-time belief about player performance. The top outcome currently reflects strong trader conviction, visible in the probability distribution across all available props. Liquidity and trading volume influence how quickly prices respond to news or shifting expectations, so markets with higher activity tend to update faster and tighter.

This market resolves around Jul 4, 2026, once the Argentina vs Cabo Verde match concludes and final player statistics are verified. The outcome for each prop is determined by the actual performance of the named player during the match—whether they achieved the specified threshold for goals, assists, or other tracked metrics. Resolution relies on credible public reporting of match results and official statistics. Traders should monitor the event closely as the resolution date approaches to ensure all prop conditions are clearly understood before the final whistle.

Several factors can shift odds in this market before resolution. Team news—such as injury announcements, lineup changes, or tactical adjustments—can significantly alter expectations for individual player output. Recent form, head-to-head history, and weather conditions on match day may also influence how traders price each prop. As the fixture date approaches, any official roster confirmations or pre-match statements from coaches can trigger repricing. During the match itself, early goals, red cards, or substitutions will cause rapid adjustments as traders update their models based on live performance data.