TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
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Sports
Casa Pia AC vs. CD Santa Clara
polymarket

Casa Pia AC vs. CD Santa Clara

Volume:
$71,212

CD Santa Clara

 - Polymarket

CD Santa Clara - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 7:36 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

CD Santa Clara

View
100%
49%
Yes 100¢No 0¢
—
N/A
$46,322
N/A
N/A
N/A
Settled
Yes
polymarket

Draw (Casa Pia AC vs. CD Santa Clara)

0%
28%
Yes 0¢No 100¢
—
N/A
$13,631
N/A
N/A
N/A
Settled
No
polymarket

Casa Pia AC

0%
19%
Yes 0¢No 100¢
—
N/A
$11,260
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Primeira Liga game, scheduled for Saturday, October 10, 2026 between Casa Pia AC and CD Santa Clara.

Polymarket

This event is for the upcoming Primeira Liga game, scheduled for Saturday, October 10, 2026 between Casa Pia AC and CD Santa Clara.

Frequently asked questions

On Polymarket, the dashboard for the Casa Pia vs. Santa Clara match tracks the probabilities associated with CD Santa Clara winning, as expressed by traders. You’ll find a price history chart illustrating how these probabilities have shifted over time, alongside the current implied probability of that outcome. The dashboard also displays the 24-hour trading volume, currently at $69,866, and the total volume traded to date, which is $71,212. This allows you to gauge market interest and activity surrounding this specific contest.

Currently, prediction market odds often reflect a different perspective than traditional sportsbooks. Sportsbooks establish lines based on statistical models and public betting patterns, aiming to balance their risk. This market, however, represents the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information sources, risk tolerance, or simply varying interpretations of the teams’ strengths and weaknesses. It’s common to see prediction markets react more quickly to new information than sportsbooks, potentially offering a more up-to-date assessment of the likely result.

On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in whether CD Santa Clara will win. As more traders buy shares, the price increases, indicating a higher perceived probability of that outcome. Conversely, increased selling pressure lowers the price. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the aggregate assessment of all traders participating in this market, providing a real-time estimate of the likelihood of CD Santa Clara emerging victorious in the Casa Pia vs. Santa Clara match.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Casa Pia AC vs. CD Santa Clara match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine whether CD Santa Clara secured a win, and payouts will be distributed accordingly to those who correctly predicted the outcome. Traders should monitor official sources for the final result to understand how this market will settle.

Several factors could influence the price of this market before Oct 10, 2026. Any news regarding player injuries or suspensions for either Casa Pia AC or CD Santa Clara would likely have a significant impact. Changes in team form, such as unexpected wins or losses in recent matches, could also shift trader sentiment. Furthermore, tactical announcements from either manager, or even weather forecasts predicting adverse conditions on match day, could all contribute to price movements. Unexpected events, like a key player transfer, could also cause a rapid reassessment of probabilities.