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
Tour
All
Sports
la Masia vs. F4TALITY
kalshi

Who will win la Masia vs. F4TALITY?

Volume:
$28,660

la Masia

 - Kalshi

la Masia - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 28, 2026

Closed: Jun 27, 8:49 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

la Masia

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,896
N/A
N/A
$7,852
Settled
Yes
kalshi

F4TALITY

0%
Yes 0¢No 100¢
100¢
N/A
$17,764
N/A
N/A
$14,600
Settled
No
Total markets: 2

Description

la Masia and F4TALITY compete in a Valorant match as part of the VCL Brazil 2026 tournament. The match is scheduled for June 27, 2026 at 6:30 PM EDT. Resolution depends on which team emerges victorious from this competitive esports matchup.

Kalshi

This market covers the outcome of a single Valorant match between la Masia and F4TALITY in the VCL Brazil 2026 competition. The match is scheduled for June 27, 2026 at 6:30 PM EDT. Resolution is determined by the official match result: if la Masia wins, their associated market resolves to Yes; if F4TALITY wins, their associated market resolves to Yes. Only one team can win the match, so only one of these outcomes will occur. The resolution is based on the final score and official determination by the tournament organizers.

Frequently asked questions

On Kalshi, the dashboard for this market displays real-time odds and historical price movements tied to the outcome of the la Masia vs. F4TALITY esports match. Traders can monitor current implied probabilities, 24-hour volume activity, and order-book depth as the event approaches. The interface updates continuously to reflect new trades and shifting market sentiment. This transparency lets participants track how confidence in each team's victory evolves over time, providing a live window into collective prediction behavior ahead of the competition.

Prediction markets and traditional sportsbooks price events differently because they operate under distinct mechanisms. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets derive prices from open trading between participants with real money at stake. This market reflects what traders collectively believe will happen, often incorporating specialized knowledge and real-time information faster than sportsbooks adjust their lines. Comparing the two can reveal where public perception diverges from professional oddsmaking, though both aim to estimate the true likelihood of an outcome.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the current consensus probability, with bids and asks continuously adjusting as new trades execute. Participants profit by correctly predicting the match result, incentivizing accurate pricing. The spread between buy and sell prices tightens as liquidity increases and the event date approaches, making the market more efficient at capturing true expectations.

This market resolves around Jun 28, 2026, once the esports match concludes and the result is verifiable from credible public sources. The outcome is determined by which team wins the competition under the standard rules of the event. Resolution occurs after official confirmation, ensuring all trades are settled based on the confirmed winner. Traders should monitor the event schedule and any official announcements to stay informed as the resolution date approaches.

Several factors can shift odds in this market before resolution. Team roster changes, player injuries, or roster substitutions may alter perceived strength. Recent performance data, scrim results, or public statements from coaches and players can influence trader sentiment. Meta shifts in the game itself—balance patches or strategy innovations—may favor one team over another. Media coverage and community discussion can amplify or dampen confidence in either side. As the match date nears, any official announcements regarding format changes or scheduling adjustments could also trigger repricing.