TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 4:10 PM EST
Kalshi
This market tracks the outcome of the Canada versus Peru soccer match scheduled for October 3, 2026, specifically whether Canada will win within the first 90 minutes of regular play plus stoppage time. Currently, the aggregated consensus across Kalshi, Predict, and Polymarket gives Canada a 100.0% probability of winning. Resolution will be based on official statistics of the event as recognized by the governing body or event organizers (FIFA). Keep an eye on the match itself on October 3, 2026, to see if Canada secures the win as currently predicted.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between Canada and Peru.
This event covers three potential results for the Canada vs Peru professional international friendly soccer match scheduled for October 3, 2026: a Canada win, a Peru win, or a tie, all assessed after 90 minutes plus stoppage time. The respective markets will resolve to 'Yes' if the designated outcome occurs. In the event of a tie after regulation time, the 'Tie' market resolves to 'Yes'. If the match is cancelled or rescheduled beyond 48 hours from the original date, the markets will resolve to a fair price following the stated procedures. Extra time and penalty shootout results are not considered for market resolution.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between Canada and Peru.
Prediction market odds, like those seen in this market, often reflect a different kind of wisdom than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by individuals betting with their own capital. This can lead to discrepancies, as prediction markets may be more sensitive to nuanced information or less susceptible to biases present in sportsbook modeling. However, both offer valuable insights; sportsbooks benefit from sophisticated statistical analysis, and this market benefits from the diverse knowledge of its participants. Comparing the two can give a more complete picture of potential outcomes.