TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Cloud9 New York vs. G2 Minnesota: Map 1
kalshi

Cloud9 New York vs. G2 Minnesota: Map 1

Volume:
$13,095

G2 Minnesota

 - Kalshi

G2 Minnesota - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 29, 2026

Closed: May 29, 4:36 PM EST

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Kalshi

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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

G2 Minnesota

View
100%
Yes 100¢No 0¢
100¢
N/A
$7,469
N/A
N/A
$5,096
Settled
Yes
kalshi

Cloud9 New York

0%
Yes 0¢No 100¢
100¢
N/A
$5,626
N/A
N/A
$4,342
Settled
No
Total markets: 2

Intro

This market tracks which team will win the first map in a Call of Duty League Stage 4 Major Qualifiers matchup between Cloud9 New York and G2 Minnesota. On Kalshi, G2 Minnesota winning map 1 stands at 99.0%, while Cloud9 New York winning map 1 is at 1.0%. The market resolves based on the official result from the Call of Duty League Stage 4 Major Qualifiers 2026 match scheduled for May 28, 2026 at 3:30 PM EDT. Watch the match start time on May 28 to see if the opening map outcome aligns with current market expectations.

Frequently asked questions

The Cloud9 New York vs. G2 Minnesota: Map 1 dashboard on Kalshi tracks real-time odds and pricing for the outcome of map 1 in this esports matchup. It displays the current probability that Cloud9 New York will win the map, along with historical price movement and trading activity. The dashboard shows total group volume of $13,095 and 24-hour volume of $8,576, giving you visibility into market depth and recent trader interest. This data helps you understand how the market is pricing Cloud9's chances relative to G2 Minnesota as the event approaches resolution.

Prediction market odds on Kalshi reflect real-time consensus from traders betting their own capital, whereas traditional sportsbooks set odds to manage liability and profit margins. Prediction markets often respond faster to new information—roster changes, recent performance, or player injuries—because traders have direct financial incentive to price accurately. Sportsbooks may lag behind or apply wider margins. For Cloud9 New York vs. G2 Minnesota: Map 1, comparing Kalshi odds to major esports sportsbooks can reveal whether the market views Cloud9's chances as undervalued or overvalued relative to bookmaker lines.

On Kalshi, Cloud9 New York vs. G2 Minnesota: Map 1 is priced as a binary contract reflecting the probability that Cloud9 New York wins map 1. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects trader sentiment and available liquidity at that moment. As new information emerges—team announcements, scrim results, or meta shifts—traders adjust their positions, moving the price up or down. Kalshi's order book shows both bid and ask prices, allowing you to see the spread between buyers and sellers and understand the conviction behind current pricing.

The Cloud9 New York vs. G2 Minnesota: Map 1 market resolves on May 28, 2026. Resolution is determined by the official result of map 1 in the Cloud9 New York versus G2 Minnesota match. The outcome is binary: either Cloud9 New York wins the map or they do not. Once the map concludes and the official result is confirmed, the market settles accordingly, paying out traders who correctly predicted the outcome.

Several factors could shift Cloud9 New York vs. G2 Minnesota: Map 1 pricing before resolution. Roster announcements or player substitutions would signal changes in team strength. Recent match results, scrim leaks, or public statements from coaches and players can alter trader confidence. Meta shifts in the game—balance patches or map strategy innovations—may favor one team over the other. Injury reports or visa issues affecting key players could impact competitive readiness. Media coverage and analyst predictions may also influence trader sentiment as the match date approaches.