TOTAL VOLUME:
$66b
24H VOL:
$398,877,831
24H TRANSACTIONS:
647,445,881
OPEN INTEREST:
$1,477,629,845
622,934
Markets across
14,083
events
MATCHED EVENTS:
1,257
PLATFORM COVERAGE:
4
Polymarket:
49%
VS.
Kalshi:
51%
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This market tracks individual player performance statistics for the France vs. Senegal FIFA World Cup match on June 16, 2026. The leading outcome, Sadio Mané: 3+ shots, shows a consensus probability of 100.0% across Predict, Kalshi, and Polymarket. Resolution will be determined by official FIFA.com final match statistics and official box scores, with credible reporting consensus serving as backup if official data is unavailable within the specified timeframe. Watch the match kickoff at 3:00 PM ET on June 16, 2026, when these player prop outcomes will be decided during the 90 minutes of regular play plus stoppage time.
Goal scorer markets for the FIFA World Cup game between France and Senegal, scheduled for June 16 at 3:00 PM ET.
Resolution is based on individual goal-scoring performance during the entire France vs Senegal FIFA World Cup match scheduled for June 16, 2026, encompassing regulation time, stoppage time, and any extra time periods. Each market tracks a specific player and a defined goal threshold, resolving to Yes if that player scores at least the specified number of goals. Thresholds vary by player: Adrien Rabiot, Aurelien Tchouameni, Dayot Upamecano, and Desire Doue are tracked at 1+ and 2+ goal levels; Kylian Mbappe at 1+, 2+, and 3+ levels; Michael Olise and Ousmane Dembele at 1+, 2+, and 3+ levels; Ismaila Sarr, Nicolas Jackson, and Sadio Mane at 1+ and 2+ levels. If a player is listed as active but does not enter the game, the market settles at the last fair market price before kickoff. Once a player enters the game, settlement is determined solely by the goals officially recorded for that player.
More markets for the FIFA World Cup game, scheduled for June 16 at 3:00 PM ET.
Prediction markets operate on peer-to-peer pricing rather than fixed sportsbook lines, meaning odds adjust dynamically as traders buy and sell shares. Sportsbooks set margins and limits; prediction markets let supply and demand drive the price. This often results in tighter spreads and faster reaction to breaking news or injury reports. However, sportsbooks may offer deeper liquidity on mainstream props, while prediction markets excel at niche player outcomes. Comparing both sources helps identify value, especially when one venue hasn't yet repriced after a significant development.
Kalshi and Polymarket 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, causing temporary price gaps on the same prop. Kalshi may emphasize spread-based outcomes while Polymarket focuses on individual player milestones, leading to distinct order-book depths and volatility profiles. Regulatory differences, settlement timing, and platform-specific incentives also influence how quickly prices converge. Arbitrage traders often exploit these gaps, but friction costs and withdrawal delays can prevent instant alignment. Monitoring both venues reveals which props are most contested and where edge may exist.
This market resolves around Jun 16, 2026, once the match concludes and player statistics are finalized. The outcome is verified against credible public sources to confirm individual performance metrics. Each prop settles independently based on whether the specified threshold was met—for example, a goal prop resolves yes if the player scored at least once, no otherwise. Traders should monitor official match data and any platform-specific clarifications on how edge cases are handled, ensuring they understand the exact criteria before the final whistle.
Team news—injuries, lineup changes, or tactical shifts—can dramatically reprrice player props, especially for key contributors. Pre-match press conferences often reveal starting elevens and formation adjustments that alter expected playing time and opportunity volume. Weather conditions, referee assignments, and opponent defensive strength also influence individual output forecasts. As kickoff approaches, late-breaking roster updates or surprise absences trigger sharp repricing. During the match itself, early goals, red cards, or substitutions shift remaining-time expectations and player involvement, creating dynamic trading opportunities through the final whistle.
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