Bunschoten: Gilles Arnaud Bailly vs Filippo Romano

Platform comparison

Market context

A lower-tier professional tennis match between Gilles Arnaud Bailly and Filippo Romano is scheduled for July 2026 in Bunschoten, Netherlands. Both players compete primarily on the Challenger and ITF circuits, where match outcomes depend heavily on surface preference, recent form, and head-to-head records. The 0% crowd probability suggests either minimal liquidity, strong consensus around one player's superiority, or insufficient historical data to establish baseline expectations. For algorithmic traders, this presents a calibration problem: markets with extreme probabilities on obscure matchups often reflect information scarcity rather than genuine predictive certainty.

Comparable lower-ranked professional fixtures typically see probability shifts driven by three factors: published rankings movements in the weeks preceding the event, withdrawal announcements (common at Challenger level), and surface-specific performance records. Bailly and Romano's recent ITF and Challenger results would indicate trajectory, though injury disclosures often arrive late. The settlement window extends to 20 July 2026, allowing a seven-day buffer beyond the scheduled 13 July date—relevant for traders building conditional orders around cancellation risk, which remains material for events at this competitive tier.

Programmatic approaches should monitor official tournament draws and player withdrawal notices through ATP/ITF channels. A bot tracking both players' recent match results and surface records would establish whether the current 0% reflects genuine predictive consensus or data gaps. Early liquidity provision at fair odds could attract counterparty interest if either player's recent form shifts materially before the event.

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

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

FAQ

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 Polymarket Bot UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

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.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.

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.