TOTAL VOLUME:

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24H VOL:

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OPEN INTEREST:

$1,416,970,024

400,720

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PLATFORM COVERAGE:

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100 Thieves vs. G2 Esports: Map 2
kalshi

Who will win Map 2: 100 Thieves vs G2 Esports?

Volume:
$190,288

G2 Esports

 - Kalshi

G2 Esports - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 18, 2026

Closed: Jul 18, 7:04 PM EST

kalshi

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 Esports

View
100%
Yes 100¢No 0¢
100¢
N/A
$96,321
N/A
N/A
$60,921
Settled
Yes
kalshi

100 Thieves

0%
Yes 0¢No 100¢
100¢
N/A
$93,967
N/A
N/A
$39,262
Settled
No
Total markets: 2

Description

100 Thieves and G2 Esports compete in the second map of their VCT Americas Stage 2 2026 Valorant match scheduled for July 18, 2026. The winner of this individual map will be determined by standard Valorant gameplay rules.

Kalshi

Resolution is based on the official result of map 2 as published by the governing body or tournament organizer. If the match or map is postponed and not completed within 48 hours of the originally scheduled start time (July 18, 2026 at 5:00 PM EDT), the market resolves to fair market price. If the match is cancelled before play begins, the market resolves to fair market price. If the map is cancelled before play begins, the market resolves to fair market price. If a match is forfeited before any play occurs, the market resolves to fair market price. If a map is forfeited before any play occurs, the market resolves to fair market price. If a map begins and is subsequently forfeited, the market resolves according to the official result published by the governing body or tournament organizer.

Frequently asked questions

On Kalshi, the 100 Thieves vs. G2 Esports Map 2 market dashboard displays real-time odds and historical price movements for the outcome of the second map in this matchup. Traders can monitor current implied probabilities, 24-hour volume of $181,127, and cumulative trading activity to gauge market sentiment. The dashboard updates continuously as new trades execute, allowing participants to track how confidence in each team's map performance shifts leading up to the event. This snapshot helps traders identify momentum and compare current pricing against their own expectations.

Prediction market odds and 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 beliefs from traders risking real capital on outcomes. This market may price the map result differently than traditional sportsbooks, especially if esports betting coverage is limited or if prediction market participants have specialized knowledge. Comparing the two can reveal where consensus is strongest and where informed traders see value relative to conventional betting lines.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from 0 to 100 and represent the implied probability of that outcome occurring. As traders place bids and offers, the market price adjusts in real time. Higher prices reflect greater confidence in an outcome, while lower prices suggest skepticism. The spread between buy and sell orders reflects liquidity and uncertainty at any given moment.

This market resolves around Jul 19, 2026, once the Map 2 result is finalized and verifiable from credible public sources covering the match. The outcome is determined by which team wins the second map in the 100 Thieves versus G2 Esports contest. Resolution typically occurs shortly after the map concludes and the result is officially confirmed. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. Exact timing may depend on broadcast schedules and official match reporting.

Several factors could shift odds before resolution. Team roster changes, player injuries, or last-minute lineup announcements may alter perceived strength. Recent map performance, head-to-head records, and patch updates affecting game balance can influence trader expectations. Pre-match commentary from analysts and community sentiment on social media often drive repricing. Odds on related markets—such as match winner or total map count—may also cascade into this market if they reveal new information about team form. Live in-game events during Map 1 could signal momentum shifts that traders anticipate will carry into Map 2.