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 10, 5:30 PM EST
Kalshi
This event concerns the Liga Portugal fixture between Casa Pia and Santa Clara Azores, focusing on whether each team scores at least one goal in the match's regular time.
If Casa Pia and Santa Clara Azores both score a goal in the Casa Pia vs Santa Clara Azores Liga Portugal match originally scheduled for Oct 10, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook offerings. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the diverse perspectives of many individual traders. If a significant number of traders believe a sportsbook has mispriced the probability of both teams scoring, the price on Kalshi will move accordingly. This can sometimes lead to more accurate probabilities than those initially offered by sportsbooks, though discrepancies can also occur due to differing risk appetites and information access.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of both teams scoring in the Casa Pia vs Santa Clara match. The price of a contract ranges from 0 to 100, representing the implied probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices that accurately reflect their beliefs, as they profit from correctly predicting the outcome. As more traders participate, the market price converges towards a collective assessment of the likelihood of both teams finding the net.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether both Casa Pia and Santa Clara score at least one goal during the match. Official match data will be used to determine if both teams have scored, and this information will be sourced from reputable sports data providers. The market will then settle based on whether both teams scored or not, with payouts determined by the final price at resolution.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries or suspensions for either Casa Pia or Santa Clara would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the style of play, could also move the market. Additionally, any updates on team formations or tactical approaches released by the managers could shift trader sentiment. Finally, public perception and analysis from sports commentators could contribute to price fluctuations as the match approaches.