TOTAL VOLUME:
$143.5b
24H VOL:
$195,145,316
24H TRANSACTIONS:
2,692,168,434
OPEN INTEREST:
$1,731,064,451
482,647
Markets across
36,631
events
MATCHED EVENTS:
2,924
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 3, 10:05 PM EST
Kalshi
This group forecasts the outcome of a FIFA International Friendly match between Argentina and Burkina Faso scheduled for October 3, 2026. Markets ask whether Argentina or Burkina Faso will win, or if the game will end in a draw, all within 90 minutes plus stoppage time.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between Argentina and Burkina Faso.
The event involves three possible outcomes for the Argentina vs Burkina Faso professional international friendly soccer game scheduled for October 3, 2026: Argentina win, Burkina Faso win, or a tie, all determined after 90 minutes plus stoppage time. Each market resolves to 'Yes' if its corresponding outcome occurs. If the match ends in a tie, the 'Tie' market resolves to 'Yes'. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as per the rules. The event explicitly excludes extra time and penalty shootout results from consideration.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between Argentina and Burkina Faso.
Prices for this market may diverge between Polymarket and Kalshi due to several factors. 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 a different user base with varying levels of expertise and information. Trading fees and liquidity also play a role; higher fees on one platform might discourage trading, leading to less accurate price discovery. Furthermore, the specific market design – the available outcomes and the way they are presented – can influence how traders interpret information and adjust their positions. These differences contribute to the observed price discrepancies, even though both platforms are tracking the same underlying event.