TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Shopify Rebellion vs. NRG Academy: Map 2
kalshi

Shopify Rebellion vs. NRG Academy: Map 2

Volume:
$4,427

Shopify Rebellion

 - Kalshi

Shopify Rebellion - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 25, 2026

Closed: Jun 25, 5:29 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

Shopify Rebellion

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,341
N/A
N/A
$3,212
Settled
Yes
kalshi

NRG Academy

0%
Yes 0¢No 100¢
100¢
N/A
$1,086
N/A
N/A
$998
Settled
No
Total markets: 2

Description

Shopify Rebellion and NRG Academy compete in the second map of their VCL North America Stage 3 2026 Valorant match on June 25, 2026. The winner of this individual map will be determined by competitive play.

Kalshi

Resolution is determined by the outcome of map 2 in the VCL North America: Stage 3 2026 Valorant match between Shopify Rebellion and NRG Academy scheduled for June 25, 2026 at 4:00 PM EDT. The market resolves to Yes for whichever team wins the map.

Frequently asked questions

On Kalshi, the dashboard for the Shopify Rebellion vs. NRG Academy Map 2 matchup displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current implied probabilities, 24-hour trading volume at $2,668, and cumulative volume of $4,427 to gauge market conviction. The interface updates live during active trading, allowing you to track how sentiment shifts as new information emerges about team form, roster changes, or pre-match analysis. This snapshot helps traders assess liquidity 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 lock in profit margins, while prediction markets like this one are driven by traders seeking to profit on their forecasts. Prediction markets can sometimes offer sharper, more efficient pricing because participants have direct financial exposure and no house edge to overcome. Comparing this market's implied probability to major sportsbook lines on the same matchup can reveal whether traders here are pricing the outcome differently, potentially signaling contrarian sentiment or information asymmetry.

On Kalshi, this market is priced through an order-book mechanism where buyers and sellers post bids and offers, and trades execute when orders match. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the last executed trade, while the spread between the best bid and best offer indicates liquidity depth. As more traders enter positions ahead of the match, the price adjusts to reflect shifting consensus. You can place limit or market orders to express your view, and your execution price depends on available liquidity at that moment.

This market resolves around Jun 26, 2026, once the Map 2 contest concludes and the result is verifiable from credible public reporting. The outcome is determined by which team wins the map according to the official match record. Until that point, traders can continue to buy and sell positions as new information about team performance, player availability, or strategic preparation becomes available. Resolution is final once confirmed.

Several factors could shift trader sentiment before resolution. Roster announcements, player injuries, or last-minute lineup changes for either squad may trigger repricing. Pre-match scrimmages, team statements, or coach interviews could reveal strategic adjustments or confidence levels. Recent tournament results, head-to-head records, or meta-game shifts in the competitive scene also influence expectations. Media analysis and expert predictions published closer to match day often catalyze trading volume spikes. Any credible reporting on team form or external circumstances affecting preparation can move the odds materially.