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%
Closed: Jun 2, 6:25 PM EST
Kalshi
Two esports teams compete in a Dota 2 match, with focus on the outcome of the first map played.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time crowd sentiment rather than fixed bookmaker pricing. Sportsbooks typically adjust lines based on liability management and sharp action, while prediction markets update continuously as traders buy and sell shares. For Aurora vs. BetBoom Team: Map 1, comparing Kalshi implied probabilities to major esports sportsbooks can reveal where the crowd sees value or where professional oddsmakers disagree with the crowd consensus.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, Aurora vs. BetBoom Team: Map 1 is priced as a binary contract where traders buy or sell shares representing each possible outcome. The share price directly reflects the market's implied probability, ranging from 0 to 100 cents. As new information emerges—team roster changes, recent form, map-specific strategies—traders adjust their positions, moving the price in real time. Liquidity and order book depth on Kalshi determine how easily you can enter or exit positions at any given moment.
The Aurora vs. BetBoom Team: Map 1 market resolves on Jun 4, 2026. The outcome is determined by the official result of the map played between Aurora and BetBoom Team in their scheduled match. Once the map concludes and the winner is confirmed by the event organizer or official broadcast, the market settles accordingly. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless.
Key catalysts for Aurora vs. BetBoom Team: Map 1 include roster announcements or player substitutions, recent tournament results and team form, map-specific meta shifts or patch updates, injury or availability news, and pre-match analyst commentary. Head-to-head map history between the teams can also influence trader positioning. As the match date approaches, any official statements about team preparation, coaching changes, or strategic adjustments may trigger repricing. Live updates during the actual match will drive final price movements before resolution.