TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 27, 6:43 PM EST
Kalshi
This event group covers player-level performance props for the Panama vs. England FIFA World Cup match scheduled for June 27, 2026. Markets track individual player statistics including goals, assists, shots, shots on target, and goalkeeper saves across the first 90 minutes of regular play plus stoppage time.
Player prop markets for the FIFA World Cup game between Panama and England, scheduled for June 27 at 5:00 PM ET.
Each market resolves to Yes if the specified player records at least one goal or one assist during the entire Panama vs England professional FIFA World Cup soccer game on June 27, 2026, including regulation time, stoppage time, and any extra time periods. Resolution is based on official match records. If a player is listed as active but never enters the game, the market settles to the last fair market price before game start. Once a player enters the game, settlement is determined by the player's actual goals and assists recorded during play.
This market will resolve to "YES" if Bukayo Saka scores at least one goal in the Panama vs England FIFA World Cup match scheduled for June 27, 2026, 21:00 UTC, as recorded in the FIFA.com match report for this specific game. Otherwise, this market will resolve to "NO." Own goals by Bukayo Saka do not count. If the match is not played and completed with an official result by August 27, 2026, 12:00 UTC, the market will resolve to “NO.” If the data on the website is unavailable for 72 hours after the match is completed, a consensus of credible reporting will be used.
Prediction markets operate on continuous trader-set pricing rather than fixed sportsbook lines. On these platforms, odds shift dynamically as new information emerges and traders adjust positions. Sportsbooks typically offer tighter spreads but less flexibility; prediction markets reward early insight and allow you to trade in and out before resolution. For player props specifically, prediction market prices often reflect sharper, more granular assessments because traders can isolate individual performance metrics without the house margin built into traditional betting.
Polymarket and Kalshi operate independent order books and user bases, so prices naturally diverge based on local supply and demand. 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. Differences in liquidity, user demographics, fee structures, and settlement rules can all push odds apart. One platform may attract more bullish traders on a particular player outcome, while the other skews bearish. Arbitrage-minded traders exploit these gaps, but friction costs and platform-specific mechanics often keep spreads persistent rather than instantly unified.
Team news, injury reports, and lineup announcements typically trigger sharp price moves in player prop markets. Confirmation of starting lineups closer to kickoff will shift odds on players expected to see significant minutes. Pre-match betting patterns and sharp money flowing into specific outcomes can signal informed positioning. Weather conditions, referee assignments, and historical head-to-head performance data may also influence trader conviction. Real-time match events—early goals, red cards, or tactical adjustments—will drive repricing throughout the fixture itself.