Prediction Markets Show Big Bets on Esports
Polymarket's prediction markets see $11.8M in 24h volume, with UFC and Dota 2 fights dominating activity.

Visual TL;DR
Polymarket sees $11.8M in 24-hour volume, showing robust activity
From the article 7 mentionsDecentralized prediction markets are increasingly reflecting public sentiment, with a significant portion of trading volume concentrated in esports and combat sports events, according to data from Polymarket, All Markets.
platform tracks $11.8 million combined 24-hour trading volume
From the article 9+ mentionsThe existence of these diverse markets on Polymarket illustrates the potential of decentralized prediction platforms.
From the articleThe platform recently tracked $11.8 million in combined 24-hour trading volume and $15.0 million in total liquidity, indicating robust activity across its diverse market offerings.
Dota 2 match between Nigma Galaxy and Team Spirit drives $2.2M
From the article 2 mentionsThese results indicate that Polymarket’s user base is not solely focused on esports or combat sports but also engages with traditional sports events, albeit at lower volume compared to the leading categories.
UFC 330 main event leads with $2.3M in 24-hour trading volume
From the article 3 mentionsThis dominance by esports and combat sports suggests that these are currently the most liquid and engaging prediction markets.
markets broadly categorized under AI, Tech, Crypto, and War
From the article 3 mentionsThe platform recently tracked $11.8 million in combined 24-hour trading volume and $15.0 million in total liquidity, indicating robust activity across its diverse market offerings.
decentralized markets increasingly show public interest and engagement
From the articleDecentralized prediction markets are increasingly reflecting public sentiment, with a significant portion of trading volume concentrated in esports and combat sports events, according to data from Polymarket, All Markets.
From the article 9+ mentionsThis dominance by esports and combat sports suggests that these are currently the most liquid and engaging prediction markets.
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Written by
Daniel SingerEditor, StartupHub.ai
Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.