TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

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VS.

Kalshi:

61%

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CD Garcilaso vs. CA Grau
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What is the result of CD Garcilaso vs CA Grau?

Volume:
$27,518

CD Garcilaso

 - Polymarket

CD Garcilaso - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 7, 2026

Closed: Sep 6, 8:36 PM EST

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Polymarket

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

CD Garcilaso

View
100%
40%
Yes 100¢No 0¢
0.1¢
N/A
$25,407
N/A
N/A
N/A
Settled
Yes
polymarket

CA Grau

0%
16%
Yes 0¢No 100¢
—
N/A
$1,352
N/A
N/A
N/A
Settled
No
polymarket

Draw (CD Garcilaso vs. CA Grau)

0%
24%
Yes 0¢No 100¢
—
N/A
$760
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, September 6, 2026 between CD Garcilaso and CA Grau.

Polymarket

This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, September 6, 2026 between CD Garcilaso and CA Grau.

Frequently asked questions

On Polymarket, the dashboard for the CD Garcilaso vs. CA Grau match-up market tracks real-time odds, price fluctuations, and 24-hour volume using live trader data. It shows how the market’s probability shifts as new information emerges, giving you a snapshot of collective sentiment. The interface updates continuously to reflect changes in betting patterns and overall interest, helping users monitor momentum and potential swings in this market.

Prediction market odds in this market often differ from traditional sportsbook lines due to trader dynamics and real-time adjustments. While sportsbooks may set fixed lines based on analytical models, prediction markets let participants price outcomes dynamically. This can lead to sharper or more volatile odds, especially as game-specific news — like injuries or weather updates — influences trader behavior. Comparing the two offers a view of crowd-driven versus institutional forecasting approaches.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result will be determined by the official match conclusion, and the platform will update the market status accordingly based on widely accepted sources. No further input from traders is needed after the game ends — the market simply reflects what actually transpires on the field.

Injuries to key players, changes in coaching strategy, or weather conditions that affect gameplay could all shift this market. Additionally, strong pre-game media coverage or poll updates reflecting shifting fan sentiment may influence trader confidence. As the match nears, any news that alters perceptions of team strength or likelihood of victory will likely cause rapid adjustments in the odds and overall market positioning.