US Open, Qualification WTA: Savannah Broadus vs Tyra Caterina Grant

Platform comparison

Market context

Savannah Broadus and Tyra Caterina Grant were due to meet in US Open women’s qualifying, a match that sits inside the first-round qualifying slate running from 24 to 27 August before the main draw begins on 31 August. The contract’s crowd-implied probability of 0% for Broadus is out of line with sportsbook pricing, which has generally made Grant the clear favourite but not a certainty; recent book lines have sat around 1.40–1.48 for Grant and 2.67–2.75 for Broadus, implying something closer to a two-thirds/one-third split than a complete shut-out.

That gap matters because the underlying player data also points to a favourite, not a foregone conclusion. Broadus has been listed around WTA 307, while Grant has been around WTA 153, a ranking spread that matches the market lead for Grant without supporting a zero chance for Broadus. Comparable qualifying matches at Grand Slams often move a few points as line-ups and court assignments firm up, so a no-play postponement or late schedule change would be the main path away from a straightforward winner settlement. The market also carries a 50-50 fallback if the match is not completed by 7 September.

Traders should watch the official order of play, any weather-related backlog, and whether the match is moved off the published US Open qualifying timetable. If the contest is played as scheduled, the key catalyst is simply whether Grant’s ranking edge translates into pre-match control, because the price structure across sportsbooks and prediction markets is not aligned: books have Grant favoured, while the contract’s 0% YES implies the exchange crowd is effectively pricing Broadus out entirely.

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Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.

Resolution & payout

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

UK Frequently Asked Questions

Where can I trade this market with the lowest fees?

Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Best Prediction Markets UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

Is this market available outside the US?

Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.

What are the best prediction markets for UK traders in 2026?

For UKGC-regulated markets: Betfair Exchange (sports, politics) and Smarkets (sports, politics, lower commission than Betfair). For broader global event prediction: Polymarket (deepest liquidity, 0% fee, USDC settlement). For US-regulated option: Kalshi (USD, limited UK payment options). Most serious UK traders use a combination of Betfair for regulated sports and Polymarket for broader markets.