Kalshi Expands Reach with FIFA World Cup Partnership Amid Record Prediction Market Trading
Kalshi has announced a partnership with ADI Predictstreet, enhancing its visibility during the FIFA World Cup as trading volumes across prediction markets surge. Last week, weekly trading volumes reached $14.5 billion, with Kalshi capturing a significant share of sports wagers, according to Decrypt.

Kalshi, a prediction market platform, has teamed up with ADI Predictstreet, an official FIFA partner, to increase its reach during the FIFA World Cup. This partnership will enable both companies to enhance their marketing through visibility across stadiums and various media platforms.
Demand for sports betting has driven a notable increase in trading volumes within prediction markets, with a record $14.5 billion traded weekly. Additionally, the value of outstanding bets has reached $1.6 billion for three consecutive weeks. ADI Predictstreet's collaboration with Kalshi comes as the tournament progresses into the knockout stage, further highlighting Kalshi's leading role in this space. Last week, Kalshi achieved an impressive 62% of the market's trading volume, far surpassing Polymarket's 28% share.
As prediction market platforms compete for attention, marketing strategies have ramped up. Notably, Polymarket has featuring advertisements with prominent figures like rapper Future, while Kalshi has showcased athletes such as Croatia’s Luka Modrić. In response to the heightened competition, DraftKings has also entered the prediction market sphere, launching its own platform, DKeX, to capitalize on growing interest surrounding the World Cup.
In addition, nascent platforms are witnessing explosive growth. For instance, Rothera, an exchange linked to Robinhood, reported a leap in weekly trading volumes from $2.1 million to $805 million, indicating a rapid increase in participation in the prediction market space.
Summary based on original reporting by André Beganski at Decrypt, originally published Jun 26, 2026. SolanaWire does not republish source content.

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