TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

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MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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Bebop vs. Team Nemesis: Map 1
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Bebop vs. Team Nemesis: Map 1

Volume:
$4,071

Team Nemesis

 - Kalshi

Team Nemesis - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 19, 2026

Closed: Jun 18, 11:00 PM EST

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

Team Nemesis

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,665
N/A
N/A
$2,560
Settled
Yes
kalshi

Bebop

0%
Yes 0¢No 100¢
100¢
N/A
$1,407
N/A
N/A
$1,407
Settled
No
Total markets: 2

Description

Bebop and Team Nemesis compete in Map 1 of their CS2 match during the CCT Europe Series #4 2026 tournament on June 19, 2026. The winner of this individual map will be determined by standard Counter-Strike 2 gameplay rules.

Kalshi

Resolution is determined by the outcome of Map 1 in the CCT Europe Series #4 2026 match between Bebop and Team Nemesis, scheduled for June 19, 2026 at 4:00 AM EDT. The market resolves to Yes if either Bebop or Team Nemesis wins the map, with each team having a corresponding market outcome.

Frequently asked questions

On Kalshi, the dashboard for the Bebop vs. Team Nemesis Map 1 matchup displays real-time odds and price movements as traders buy and sell shares tied to each possible outcome. You can monitor the current implied probability for each team, review 24-hour volume activity, and track how sentiment has shifted since the market opened. Historical price charts help you identify trends and volatility patterns leading up to the match. This live data reflects the collective forecast of prediction market participants actively pricing in team performance, recent form, and other competitive factors.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and manage risk, incorporating built-in margins. Prediction markets, by contrast, aggregate the beliefs of many independent traders with real money at stake, often producing sharper, less biased estimates of true probability. This market reflects trader conviction without a house margin, which can make it a useful reference point when comparing against traditional sports betting lines. Both sources contain valuable information, but they weight factors differently.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing each 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 probability traders assign to that result, ranging from $0 to $1. As new information emerges or sentiment shifts, traders adjust their orders, and the price moves accordingly. Volume and liquidity determine how easily you can enter or exit a position at or near the current market price.

This market resolves around Jun 19, 2026, once the match concludes and the result is verified against credible public sources. The outcome is determined by which team wins Map 1 of the matchup. Until that point, prices will fluctuate based on trader expectations, pre-match analysis, team news, and any other factors participants believe are relevant to the result. Resolution is final once the event is confirmed.

Several factors may shift trader sentiment before this market resolves. Roster changes, player injuries, or lineup announcements from either team can significantly impact odds. Recent tournament results, scrim performance, or public statements from coaches and players often influence perception. Meta shifts in the game itself, patch updates, or map-specific strategy breakthroughs may also sway expectations. Media coverage, expert analysis, and betting activity on related markets can amplify or dampen momentum. Any credible information about team preparation or competitive form is likely to trigger repricing.