TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
CSD Xelajú MC vs. CSD Mixco
polymarket

What is the result of CSD Xelajú MC vs. CSD Mixco?

Volume:
$1,996

CSD Xelajú MC

 - Polymarket

CSD Xelajú MC - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 31, 2026

Closed: Aug 31, 4:42 AM EST

polymarket

Polymarket

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

CSD Xelajú MC

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$1,094
N/A
N/A
N/A
Settled
Yes
polymarket

CSD Mixco

View
0%
Yes 0¢No 100¢
—
N/A
$847
N/A
N/A
N/A
Settled
No
polymarket

Draw (CSD Xelajú MC vs. CSD Mixco)

View
0%
Yes 0¢No 100¢
—
N/A
$55
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming Liga Nacional Guatemala game, scheduled for Sunday, August 30, 2026 between CSD Xelajú MC and CSD Mixco.

Polymarket

This event is for the upcoming Liga Nacional Guatemala game, scheduled for Sunday, August 30, 2026 between CSD Xelajú MC and CSD Mixco.

Frequently asked questions

On Polymarket, the dashboard tracks real-time odds and price history for the Xelajú vs. Mixco match outcome market, along with 24-hour volume of $1,976. It shows how traders on Polymarket are pricing the chances of different results, letting you see market momentum and liquidity changes as the event approaches.

Prediction market odds in this market often differ from traditional sportsbook lines due to community-driven pricing and unique betting mechanics. While sportsbooks may incorporate expert analysis and adjusted margins, prediction markets let traders bet directly on outcomes, sometimes producing sharper or more volatile prices. Comparing the two can reveal shifts in fan sentiment versus institutional forecasts.