TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 4, 5:00 PM EST
Polymarket
This market group tracks the outcome of a FIFA World Cup match between Paraguay and France, including goal totals, spreads, and various match-specific betting lines. The consensus probability across Polymarket and Predict shows 100.0% for the Over/Under 0.5 goals market. Resolution will be determined by official FIFA.com final match statistics, with credible reporting consensus serving as backup if official data is unavailable within 2 hours of match conclusion. Watch for the final whistle on July 4 at 5:00 PM ET to see how the match unfolds against market expectations.
More markets for the FIFA World Cup game, scheduled for July 4 at 5:00 PM ET.
More markets for the FIFA World Cup game, scheduled for July 4 at 5:00 PM ET.
Prediction markets and traditional sportsbooks price the same event through different mechanisms. Sportsbooks set odds based on internal models and risk management, then adjust for sharp action and liability. Prediction markets, by contrast, aggregate trader beliefs in real time—prices move continuously as new information arrives and participants buy or sell contracts. This market often reflects faster reaction to team news, injury updates, or betting syndicates than slower-moving sportsbook lines. Comparing the two can reveal mispricings, though sportsbooks typically maintain tighter margins and deeper liquidity for major fixtures.
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. Each platform attracts different trader demographics, liquidity pools, and fee structures, all of which influence pricing. Polymarket may see heavier volume on spread contracts, while Predict draws interest in over-under totals, causing each to reflect distinct supply-and-demand dynamics. Timing lags between platforms, varying settlement rule interpretations, and regional trader preferences can also widen gaps. Arbitrageurs typically exploit these differences, but temporary spreads persist due to withdrawal friction, platform-specific incentives, and the cost of moving capital between venues.
Team news—injuries, suspensions, lineup changes, or managerial decisions—typically drives sharp repricing in the days before kickoff. Recent form, head-to-head history, and travel fatigue can also shift trader sentiment. Closer to match time, weather conditions, last-minute roster adjustments, and betting syndicate positioning often trigger volatility. Early goals or red cards during the match itself will cause rapid repricing on live-trading platforms. Monitor official team announcements and credible sports media for catalysts that might signal value shifts across both venues.