TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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SE Palmeiras vs. Clube do Remo
polymarket

What is the result of SE Palmeiras vs. Clube do Remo?

Oct 23, 2026, 3:00 PM EST - Nov 5, 2026, 5:30 PM EST
Total volume:
$310
Volume 24h:
$176
7,465%
Liquidity:
$13,197
30%
Open interest:
$260N/A

SE Palmeiras

 - Polymarket

SE Palmeiras - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 5, 2026

Time left: 02d:19h:01m

Will SE Palmeiras win on 2026-11-05?

80%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 81¢ buys you 123 shares | Odds: 80% Total Payout: $123 | Net Profit: $23 Multiplier: 1.23x | ROI: 23% APY not meaningful 2 days to resolution
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

SE Palmeiras

Trade
80%
Yes 81¢No 21¢
2¢
$3,366
$190
209%
N/A
N/A
2d 19h 1m
Active
polymarket

Draw (SE Palmeiras vs. Clube do Remo)

13%
Yes 14¢No 88¢
2¢
$6,425
$120
66%
N/A
N/A
2d 19h 1m
Active
polymarket

Clube do Remo

6%
Yes 7¢No 95¢
2¢
$3,406
N/A
N/A
N/A
N/A
2d 19h 1m
Active
Total markets: 3

Description

This event is for the upcoming Brazil Série A game, scheduled for Thursday, November 5, 2026 between SE Palmeiras and Clube do Remo.

Polymarket

This event is for the upcoming Brazil Série A game, scheduled for Thursday, November 5, 2026 between SE Palmeiras and Clube do Remo.

Frequently asked questions

On Polymarket, the dashboard for the Palmeiras vs. Remo match tracks the current odds, price history, and 24-hour trading volume. You can see how traders are pricing the likelihood of different outcomes in real-time. Currently, the total volume for this market is $310, with $176 traded in the last 24 hours. This provides a clear view of market activity and sentiment surrounding the event. The dashboard is updated continuously to reflect the latest trading action.

Comparing prediction market odds to sportsbook odds reveals how collective intelligence differs from traditional oddsmaking. Sportsbooks set initial lines based on statistical models and expert analysis, while this market reflects the wisdom of the crowd. Often, prediction markets can be more accurate, especially as the event approaches and more information becomes available. Discrepancies can arise due to differing opinions, access to information, or biases inherent in each system. It’s common to see prediction market probabilities shift more dynamically in response to news and developments.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring. As more traders participate, the price converges towards a collective assessment of the likelihood. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price reflects the aggregated sentiment of all participants, offering a real-time probability assessment of the match result. This dynamic pricing ensures the market remains responsive to new information.

This market resolves around Nov 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official outcome of the SE Palmeiras vs. Clube do Remo match, as reported by official sources. The platform will verify the result against established sports data providers to ensure accuracy and transparency. Traders holding shares in the winning outcome will be entitled to a payout based on the final market price at resolution. It’s important to monitor the event closely as the resolution date approaches.

Several signals could influence this market before resolution. Any news regarding player injuries, team lineups, or changes in coaching staff could significantly shift probabilities. Unexpected weather conditions at the match venue could also play a role. Furthermore, significant shifts in public sentiment or expert analysis regarding the teams’ performance could impact trading activity. Major upsets in other matches involving these teams, or even broader trends in the league, could also contribute to price movements. Monitoring these factors is crucial for understanding potential shifts in this market.