TOTAL VOLUME:
$97.2b
24H VOL:
$195,930,743
24H TRANSACTIONS:
950,106,883
OPEN INTEREST:
$2,066,493,046
825,151
Markets across
14,840
events
MATCHED EVENTS:
886
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
This market tracks the exact final score of the France vs. Morocco FIFA World Cup match. Across Polymarket and Kalshi, the consensus probability for France winning 2-0 stands at 87.0%, with France winning 3-0 at 13.0%. Resolution will be determined by official FIFA World Cup governing body statistics, or credible reporting consensus if official data is unavailable within 2 hours of match conclusion. Watch the match on July 9, 2026 at 4:00 PM ET to see which exact scoreline materializes.
In the upcoming FIFA World Cup game between France and Morocco, scheduled for July 9, 2026 at 4:00 PM ET: This market will resolve based on the final score of the France vs. Morocco match originally scheduled for July 9, 2026 at 4:00 PM ET, considering only the result at the end of 90 minutes of regulation plus stoppage time; extra time and penalty shoot-outs are excluded. If the actual score is not one of the explicitly listed outcomes, the market resolves to "Any Other Score." If the match is postponed, the market will remain open until it is completed; if it is canceled with no make-up game, the market resolves to "0-0." The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead. All markets will settle based on the official final result as recognized by the governing body or event organizers. Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
This event encompasses all possible regulation-time correct scores for the France vs Morocco FIFA World Cup match scheduled for July 9, 2026. Each market outcome corresponds to a specific final score after 90 minutes plus stoppage time, with no extra time or penalties included. The outcomes cover a comprehensive range of scorelines including draws (0-0, 1-1, 2-2, 3-3), Morocco victories (1-0, 2-0, 3-0, 2-1, 3-1, 3-2), and France victories (1-0, 2-0, 2-1, 3-0, 3-1, 3-2, 4-0, 4-1, 4-2, 4-3, 5-0, 5-1, 5-2, 6-0, 6-1). Resolution is determined by the official final score recorded at the conclusion of regulation time, regardless of any subsequent extra time or penalty proceedings that may occur.
Prediction markets like Polymarket and Kalshi operate on peer-to-peer order books where traders directly set prices, whereas traditional sportsbooks employ oddsmakers and margin. Prediction market prices often reflect sharper, more granular probability estimates because they aggregate dispersed information from thousands of participants with real financial skin in the game. For exact-score markets, sportsbooks typically offer only a handful of bundled outcomes, while prediction platforms break down every plausible scoreline into its own contract. This granularity can reveal market nuance—such as subtle shifts in perceived team balance—that sportsbook lines may not capture as quickly.
Polymarket and Kalshi 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 how prices settle. Polymarket's order-book model and Kalshi's binary-contract design create distinct mechanics for expressing the same outcome; a trader bullish on a Morocco 1-0 win may find better execution or lower friction on one venue than the other. Regulatory nuances, platform-specific incentives, and timing of large trades can also push prices apart temporarily. These gaps create arbitrage opportunities for sharp traders and highlight how market microstructure—not just fundamental disagreement—shapes odds across venues.
Team news—injuries to key players, tactical shifts, or lineup announcements—can significantly reprice exact-score probabilities, as can recent form, head-to-head history, and betting-market consensus. Weather conditions and venue factors may also influence expected goal-scoring patterns. As the match approaches, late-breaking developments such as unexpected absences or managerial changes can trigger sharp repricing. During the match itself, early goals, red cards, or momentum swings will cause rapid adjustments in live-trading markets. Traders monitor all these signals to identify mispricings and adjust their positions accordingly.
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