Esports and House control markets lead Polymarket’s large-trade activity
Rivo's Polymarket analytics, updated October 31 at 12:39 PM ET, counted 408 open bets from 239 wallets in profit that are still waiting to settle. The largest whale flow was 1.5 million dollars across 181 large trades in the League of Legends Hanwha Life Esports vs G2 Esports Game 2 market, followed by 1.1 million dollars in the Democratic Party House control market.
Polymarket recorded 5.6 million dollars across 482 large trades over 24 hours, according to Rivo’s analytics. The largest reported flows were in an esports game market and a market on Democratic Party control of the House.
Where the largest flows landed
Rivo’s analytics, updated October 31 at 12:39 PM ET, showed 1.5 million dollars across 181 large trades in the League of Legends Hanwha Life Esports vs G2 Esports Game 2 market. That was the largest whale flow identified in the summary.
The Democratic Party House control market followed with 1.1 million dollars in whale flow. The supplied figures did not include a large-trade count for that market or identify which outcomes attracted the money.
Profitable positions remain unsettled
Rivo also counted 408 open bets from 239 wallets in profit that were still awaiting settlement. Those positions remained unresolved at the time of the analytics update; the profit snapshot should not be read as a tally of settled wins.
The figures were published on Oct 31, 2026, at 2:45 PM ET. The supplied summary did not define the threshold for a large trade or provide prices, trade direction or individual wallet exposure.
What it means for prediction markets
- Activity is not direction: The flow totals show where large trades occurred, but do not establish which outcomes those traders favored.
- Settlement remains consequential: The 408 open bets were still awaiting resolution, separating the reported profit snapshot from final results.
- Market context is limited: Without prices or trade direction, the figures alone cannot establish how the activity affected implied probabilities.
Sources & attribution
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- Rivo
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Full attribution under the Digital Millennium Copyright Act (DMCA), 17 U.S.C. § 512: this article is an original report by Infiniti Intelligence that summarizes the reporting of the publishers named above, links to their original work, and reproduces no protected expression beyond brief factual reference and in-line attribution (“according to Rivo”). All rights in the underlying reporting remain with the publishers listed; nothing here implies endorsement by or affiliation with them. Rights holders may request correction, update or removal through the contact address published at infiniti.w3ai.io.
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