TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Gimnasia Y Tiro de Salta vs. Quilmes AC
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What is the result of Gimnasia Y Tiro de Salta vs. Quilmes AC?

Volume:
$13,787

Quilmes AC

 - Polymarket

Quilmes AC - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 8:59 PM EST

polymarket

Polymarket

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

Quilmes AC

View
100%
Yes 100¢No 0¢
—
N/A
$4,095
N/A
N/A
N/A
Settled
Yes
polymarket

Gimnasia Y Tiro de Salta

0%
Yes 0¢No 100¢
—
N/A
$9,167
N/A
N/A
N/A
Settled
No
polymarket

Draw (Gimnasia Y Tiro de Salta vs. Quilmes AC)

0%
26%
Yes 0¢No 100¢
—
N/A
$525
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Primera Nacional game, scheduled for Sunday, November 1, 2026 between Gimnasia Y Tiro de Salta and Quilmes AC.

Polymarket

This event is for the upcoming Primera Nacional game, scheduled for Sunday, November 1, 2026 between Gimnasia Y Tiro de Salta and Quilmes AC.

Frequently asked questions

On Polymarket, the dashboard for the Gimnasia vs Quilmes match tracks the probabilities associated with different outcomes, displaying them as implied probabilities. You’ll find a price history chart showing how these probabilities have shifted over time, along with the 24-hour trading volume, currently at $13,095. The total volume traded on this market is $13,787. This allows users to gauge market sentiment and see how actively traders are participating in predicting the result of this football contest.

Prediction market odds often reflect the collective wisdom of a diverse group of bettors, potentially offering a different perspective than traditional sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market is driven purely by individuals willing to put their capital behind their beliefs. Discrepancies can arise due to differing information access, biases, or simply variations in modeling approaches. It’s often insightful to compare the implied probabilities from this market with those offered by major sportsbooks to identify potential value or disagreements.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome of the Gimnasia vs Quilmes match. The price of these shares directly reflects the probability of that outcome occurring, as determined by supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy shares in a particular outcome, its price increases, indicating a higher perceived probability, and vice-versa. This dynamic pricing ensures the market reflects the most up-to-date collective assessment of the event's likely result.

This market resolves around Nov 1, 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 Gimnasia Y Tiro de Salta versus Quilmes AC match, as reported by a recognized sports data provider. The platform will then determine the winning outcome and distribute payouts to those who correctly predicted the result. Traders should monitor official sources for the final score to understand how this market will settle.

Several factors could influence the trading activity and price movement in this market. Any news regarding team injuries, changes in coaching staff, or significant shifts in player form could all impact trader sentiment. Unexpected weather conditions at the match location could also play a role, as could major tactical announcements from either team. Furthermore, large-volume trades by influential participants on Polymarket can create short-term price fluctuations, and general public perception surrounding the teams’ performance could also shift probabilities.