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PLATFORM COVERAGE:

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Caxias do Sul vs Floresta
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What is the result of Caxias do Sul vs Floresta?

Volume:
$190,513

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 11, 2026

Closed: Jul 11, 12:00 PM EST

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

View
100%
Yes 100¢No 0¢
100¢
N/A
$64,336
N/A
N/A
$41,032
Settled
Yes
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Caxias do Sul

0%
Yes 0¢No 100¢
100¢
N/A
$64,090
N/A
N/A
$42,955
Settled
No
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Floresta

0%
Yes 0¢No 100¢
100¢
N/A
$62,086
N/A
N/A
$52,924
Settled
No
Total markets: 3

Description

Caxias do Sul and Floresta compete in a Brasileiro Serie C professional soccer match scheduled for July 11, 2026. The outcome is determined by the final score after 90 minutes of regular play plus stoppage time, excluding any extra time or penalty shootouts.

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Resolution is based on the final result of the Caxias do Sul vs Floresta Brasileiro Serie C match after 90 minutes plus stoppage time, with extra time and penalties excluded. Three separate markets cover the possible outcomes: a Caxias do Sul victory, a Floresta victory, or a tie. Each outcome market resolves to Yes if that result occurs. If the match ends in a draw, the Tie market resolves to Yes. In the event of cancellation or rescheduling beyond two weeks from the original July 11 date, the market will resolve to a fair price in accordance with established rules.

Frequently asked questions

On Kalshi, the dashboard for the Caxias do Sul vs Floresta match tracks real-time odds and historical price movements as traders buy and sell shares tied to the match outcome. The interface displays the current probability estimate for each possible result, along with 24-hour trading volume and cumulative liquidity. This live data reflects how the prediction market community is pricing the event, updated continuously as new information emerges and match conditions change. Traders use these metrics to monitor sentiment shifts and identify trading opportunities leading up to kickoff.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set odds to balance their book and manage risk, incorporating a margin for profit. Prediction markets, by contrast, aggregate trader beliefs through continuous price discovery, with no built-in spread. This market's odds reflect pure crowd sentiment rather than a bookmaker's adjustment. Comparing the two can reveal where public opinion differs from professional oddsmakers, though sportsbook odds typically incorporate more sophisticated statistical models and real-time injury or weather data.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome share reflects the probability traders assign to that result, with the sum of all outcome prices equaling one dollar. As new trades execute, prices adjust instantly to reflect updated beliefs. This dynamic pricing model ensures that the market remains responsive to breaking news, team announcements, or other catalysts that shift expectations about the match.

This market resolves around Jul 11, 2026, once the match concludes and the result is verified against credible public sources. The outcome is determined by the final score and official match result as reported by the relevant sports authority. Resolution occurs shortly after the event ends, allowing traders to settle their positions based on the confirmed outcome. No further adjustments are made after the official result is published.

Key catalysts that could shift this market include team roster announcements, injury updates, weather forecasts closer to match day, and recent form or head-to-head records. Unexpected lineup changes, coaching decisions, or tactical shifts disclosed in pre-match press conferences often trigger sharp price moves. Social media sentiment, expert analysis, and betting-market activity on traditional sportsbooks can also influence trader behavior. Any breaking news about player availability or venue conditions in the final hours before kickoff typically generates rapid repricing as the market absorbs new information.