TOTAL VOLUME:
$139.3b
24H VOL:
$178,872,365
24H TRANSACTIONS:
2,540,891,627
OPEN INTEREST:
$1,640,545,998
469,304
Markets across
36,320
events
MATCHED EVENTS:
2,948
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 6, 10:14 PM EST
Kalshi
This market on Kalshi tracks whether Malik Tillman will score at least one goal during the USA vs Belgium FIFA World Cup match. The leading outcome currently stands at 99.0%. Resolution is determined by official FIFA World Cup records for the complete match, including regulation time, stoppage time, and any extra periods. Watch for the final whistle on July 6, 2026, when the betting window closes and the match result becomes official for settlement purposes.
All markets concern the USA vs Belgium professional FIFA World Cup soccer game originally scheduled for July 6, 2026, and evaluate player goal-scoring performance across the entire match duration including regulation, stoppage time, and any extra time periods. Each market resolves to Yes if the designated player records at least the specified number of goals during this timeframe. Players are evaluated only once they enter the game; if a player is listed as active but never enters play, the market settles to the last fair market price before game start. Once a player enters the game, resolution is determined solely by the goals they score. The event includes separate markets for different players and different goal thresholds for certain players, allowing bettors to wager on specific scoring outcomes for USA players (Alex Freeman, Antonee Robinson, Christian Pulisic, Sergino Dest, Weston McKennie) and Belgium players (Charles De Ketelaere, Jeremy Doku, Kevin De Bruyne, Leandro Trossard, Youri Tielemans), with some players having markets for both 1+ and 2+ goal thresholds, and Christian Pulisic additionally having a 3+ goal market.
Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. In this market, prediction market participants may price goalscorer outcomes differently than traditional bookmakers if they possess superior information, stronger conviction, or face fewer liquidity constraints. Comparing the two can reveal where consensus differs, though sportsbook odds typically tighten closer to kickoff as professional action flows in.
On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each goalscorer outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share reflects the implied probability of that player scoring at least one goal, with prices ranging from near-zero to near-100 cents. Traders profit by correctly predicting which outcomes will occur, and the market price adjusts in real time as new orders flow in. Higher trading volume typically narrows spreads and improves price accuracy, while lower liquidity can widen the gap between buy and sell prices.
This market resolves around Jul 7, 2026, once the USA versus Belgium match concludes and the final result is verifiable from credible public reporting. The outcome is determined by which players score during regular and extra time, if applicable. Each goalscorer outcome settles independently based on whether that player records at least one goal in the match. Traders holding shares in correct outcomes receive their payout, while incorrect predictions expire worthless.
Key catalysts include team lineups and starting XI announcements, which shift probabilities for featured players. Injury reports or late roster changes can eliminate or elevate certain goalscorers overnight. Pre-match analysis from credible analysts and media coverage often influences trader positioning. During the match itself, early goals, red cards, tactical substitutions, and momentum swings will drive sharp repricing. Weather conditions, venue factors, and historical head-to-head form may also sway expectations. Real-time match flow—such as one team dominating possession or trailing late—typically triggers the largest intra-match price movements.