TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
ex-Vexa vs. MIBR Academy
kalshi

Who will win ex-Vexa vs. MIBR Academy?

Volume:
$261,576

ex-Vexa

 - Kalshi

ex-Vexa - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 5:39 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

ex-Vexa

View
100%
Yes 100¢No 0¢
100¢
N/A
$109,198
N/A
N/A
$48,663
Settled
Yes
kalshi

MIBR Academy

0%
Yes 0¢No 100¢
100¢
N/A
$152,378
N/A
N/A
$83,750
Settled
No
Total markets: 2

Description

This event covers the outcome of a Counter-Strike 2 match between ex-Vexa and MIBR Academy scheduled for July 4, 2026, as part of the CCT South America Series 3 2026 tournament. The match will determine which team advances or wins their respective bracket position in this regional esports competition.

Kalshi

The market resolves based on the winner of the ex-Vexa vs. MIBR Academy CS2 match scheduled for July 4, 2026 at 12:00 PM EDT within the CCT South America Series 3 2026 tournament. If ex-Vexa wins the match, the market resolves to Yes. If MIBR Academy wins the match, the market also resolves to Yes. The resolution is determined by the official match outcome as recorded by the tournament organizers.

Frequently asked questions

On Kalshi, the dashboard for the ex-Vexa vs. MIBR Academy esports match displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current market sentiment, track how odds have shifted over time, and review trading volume to gauge interest and conviction among participants. The interface shows the probability implied by the latest trades, helping you understand where the market stands relative to the teams' recent performance and head-to-head dynamics in competitive play.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market may price the matchup differently than major sportsbooks, particularly if esports-focused traders have insights that broader betting markets haven't fully incorporated. Comparing the two can reveal where consensus differs and highlight potential value opportunities.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the current odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the marginal trader's assessment of the match outcome at any given moment. As new information emerges—roster changes, recent tournament results, or injury reports—traders adjust their positions, causing the odds to move. Liquidity and trading volume influence how quickly prices respond to news and how tight the spread between bid and ask remains.

This market resolves around Jul 4, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by the final score and winner as confirmed through official esports league records or tournament broadcasts. Until that point, traders can adjust positions based on team announcements, practice performance, and other pre-match signals. Resolution is straightforward: whichever team wins the match determines the payout for holders of the winning outcome.

Several catalysts could shift odds before the match. Roster announcements or player substitutions for either team would signal a change in competitive strength. Recent tournament results, scrim performances, or public statements from coaches and players often influence trader sentiment. Meta shifts in the game itself—balance patches or map changes—can favor one team's playstyle over another. Injury reports or personal circumstances affecting key players, as well as betting-market activity on external sportsbooks, may also prompt repricing as new information reaches traders on this market.