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PLATFORM COVERAGE:

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CA Colegiales vs. CSD Tristan Suarez
kalshi
polymarket

What is the result of CA Colegiales vs. CSD Tristan Suarez?

Volume:
$75,070

Tie

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 4:01 PM EST

kalshi

Kalshi

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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$18,840
N/A
N/A
$11,671
Settled
Yes
polymarket

Draw (CA Colegiales vs. CSD Tristan Suarez)

100%
64%
Yes 100¢No 0¢
—
N/A
$1,583
N/A
N/A
N/A
Settled
Yes
kalshi

Tristan Suarez

0%
29%
Yes 0¢No 100¢
—
N/A
$33,605
N/A
N/A
$22,578
Settled
No
polymarket

CSD Tristan Suarez

0%
29%
Yes 0¢No 100¢
—
N/A
$3,282
N/A
N/A
N/A
Settled
No
kalshi

Colegiales

0%
Yes 0¢No 100¢
—
N/A
$16,025
N/A
N/A
$7,954
Settled
No
polymarket

CA Colegiales

0%
Yes 0¢No 100¢
—
N/A
$1,735
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event group concerns the outcome of a soccer match between CA Colegiales and CSD Tristan Suarez, scheduled for October 10, 2026. Markets exist on which team will win, or if the match will end in a draw, based on the result after 90 minutes plus stoppage time.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

All platforms define resolution based on the same timeframe (90 minutes + stoppage time) and share a consistent hierarchy of resolution sources.Primary resolution logic: Official statistics of the event as recognized by the governing body or event organizers (afa.com.ar), with fallback to Flashscore, Sofascore, and credible reporting.

Core resolution logic:

  • The market resolves based on the outcome of the match within the first 90 minutes of regular play plus stoppage time.
  • If the game is postponed, the market remains open until the game is completed.
  • If the game is canceled entirely with no make-up game, win markets resolve 'No' and the draw market resolves 'Yes'.

Edge cases & clarifications:

  • Data Availability: If official statistics are unavailable within 2 hours of the event's conclusion, Flashscore data will be used. If Flashscore data is unavailable, Sofascore data will be used. If neither is available, a consensus of credible reporting will be used. If no acceptable data is available within 24 hours, the market will resolve 50-50 or to 'Draw' where applicable.
  • Score Revisions: Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
Timing: Resolution will occur within 24 hours of the match's conclusion, or sooner if official data is readily available.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming Primera Nacional game, scheduled for Saturday, October 10, 2026 between CA Colegiales and CSD Tristan Suarez.

Kalshi

The event resolves based on the full-time result of the Colegiales vs Tristan Suarez professional Argentine Nacional B soccer match originally scheduled for October 10, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs for the Colegiales market if Colegiales wins, for the Tristan Suarez market if Tristan Suarez wins, and for the Tie market if the game ends level. The markets exclusively consider regular time results and exclude extra time or penalty shootouts. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined per the platform's procedures. Kalshi disclaims any official affiliation with the governing league or ownership of associated trademarks.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes for the Colegiales vs Tristan Suarez match. Currently, the consensus view across these platforms indicates a significant probability for a draw, with Polymarket assigning a chance of 36.5%. Total volume across both platforms is $75,070, with $41,821 traded in the last 24 hours. This allows traders to express their beliefs about the match’s result and profit from correctly predicting the outcome. The dashboard aggregates data to provide a comprehensive view of market sentiment.

Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the wisdom of the crowd and differing incentives. Sportsbooks set lines to balance action and ensure profit, while prediction markets reflect the collective judgment of informed traders. This can lead to prediction markets being more accurate, especially when significant information isn't yet reflected in sportsbook lines. The volume of $75,070 suggests active trading and a degree of confidence in the market's price discovery process. It’s worth comparing the implied probabilities to those offered by sportsbooks to identify potential value.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi can diverge due to several factors, including differences in user base, trading fees, and market-specific liquidity. Polymarket may attract a different type of trader than Kalshi, leading to varying perspectives on the Colegiales vs Tristan Suarez match. Furthermore, the volume traded on each platform influences price discovery. While Polymarket currently favors a draw at 36.5%, Kalshi leans toward a different outcome. These discrepancies create arbitrage opportunities for traders who can exploit price differences across platforms.