ITF Lexington: Lexington Reed vs Fiona Crawley

Platform comparison

Market context

The match is a first-round or early-round ITF women’s fixture in Lexington between Lexington Reed and Fiona Crawley, so the cleanest way to model it is as a single-event binary outcome with a small but real non-completion branch. On current market pricing, a **0% YES** crowd view implies the market is effectively treating Reed advancing as unattainable, which in practice usually reflects either missing verification, a withdrawn entry, or stale pricing rather than a quantified tennis edge.

Lexington has a history of producing close, lower-tier matches, with recent editions of the wider tournament seeing a mix of straight-set wins and three-set reversals, including women’s champions such as Wang Xiyu, Wei Sijia, Renata Zarazúa, and Katie Swan. For a power-user, that matters because ITF markets often move only when the draw is officially updated or the live score feed confirms the player list; in a workflow built around alerts or conditional orders, the key check is whether the scheduled pairing still exists in the published draw and whether either player has a walkover route. Comparable Lexington women’s events on draw and results trackers show that late changes are common enough to distort early probabilities if the market is opened before match status is locked in.[1][6][9]

The main catalysts are administrative rather than tactical: the order of play, official withdrawals, retirements, or postponements that push the match beyond the seven-day settlement cut-off. Traders should monitor the tournament’s draw/status pages and live score listings for any change from scheduled to cancelled, delayed, or completed, because a match that is not played at all, or is left unresolved after a start, can resolve to 50-50 under the market rules. Programmatically, this is the sort of market where bots should poll for event-state changes, not just scores, and use a stale-listing filter so a “0% YES” does not get mistaken for confirmed information when the underlying fixture has already been removed from the draw.[9][11][12]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Polymarket Review UK, which mirrors the Polymarket order book directly.

Resolution & payout

At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.

On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.

FAQ

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's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

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.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.