Trading

Kalshi adds Paul-Alcaraz and Khachanov-Bonzi to US Open men's singles markets

Published Sep 7, 2026

Kalshi listed prediction markets for the Paul vs Alcaraz round of 16 and Khachanov vs Bonzi round of 32 men's singles matches at the US Open. The listings let users track implied odds or trade match outcomes. Separately, Kalshi traders are pricing Coco Gauff a 74% favorite over Iva Jovic in their round of 16 matchup, with Aryna Sabalenka as the title favorite on the platform. Kalshi is the official prediction market partner of the US Open under an exclusive, multi-year deal signed earlier this month.

Why this matters?

These match listings are thin-book products without proven depth. Kalshi traders see Gauff at 74% and Sabalenka as title favorite, but the platform has yet to show it can absorb sharp size without violent repricing — the Alcaraz swing to 34% after Sinner's injury exit demonstrated how quickly these prices gap.

Novig's $125 million debut week and Polymarket's established liquidity pools pull two-sided flow toward tighter spreads elsewhere. Kalshi's exclusive US Open partnership buys broadcast visibility and official partner status, not inventory lockup, since Robinhood Derivatives lists the same tournament matches. Traders must weigh court-side brand against potentially better fills elsewhere, with no guarantee Kalshi spreads hold under pressure.

In this story
Add Prediction News as a preferred source on GoogleGet our prediction-market coverage prioritized in your search results

Related Stories

More in Trading
Trading

Kalshi prices Gauff at 88% to beat Badosa in US Open second round

Trading

Kalshi prices Gauff at 95%, Zverev at 94% to advance in US Open Round 1

Trading

Kalshi signs exclusive, multi-year deal as official prediction market partner of US Open

Trading

Maria Sharapova becomes Polymarket's first celebrity partner for US Open

Trading

Kalshi traders price Serena and Venus Williams at 35% in US Open doubles return

Trading

Novig posts $125 million in first-week sports prediction market volume