National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini

Platform comparison

Market context

Sofia Kenin against Lucrezia Stefanini in the National Bank Open qualifying round is the underlying event, and the market’s **0% YES** implies the contract is being priced as effectively settled against a Kenin advance or as very unlikely to resolve that way. Public tennis listings show Kenin higher in the rankings at **WTA 116** versus Stefanini at **WTA 144**, while head-to-head databases show **no prior meetings** between them.[5][6][11]

The historical frame is mixed rather than one-sided. Kenin brings the bigger résumé, including a former Grand Slam title, but recent form indicators are not dominant: one stats aggregate has her at **21.7%** win rate in 2026 and **29.0%** over the last 12 months, while Stefanini is shown at **52.5%** in 2026 and **50.9%** over the last 12 months on the same source.[1] By contrast, another comparison page lists Stefanini at **38-29** over the past 52 weeks and Kenin as having far fewer matches in that span, which helps explain why a prediction market can sit far from a simple ranking-based view even when sportsbooks or model-derived previews may still lean on Kenin’s pedigree.[2][15]

For traders, the key catalysts are whether the qualifying draw proceeds as scheduled, whether either player is withdrawn, and whether match timing shifts enough to trigger the market’s non-completion rules. The WTA and tournament score pages both had the qualifying match listed for the National Bank Open, and live match pages show the pair attached to the same event, so any late walkover, retirement, or schedule change would matter more than pre-match narrative.[3][6][11][18] If sportsbook prices firm up on Kenin while the market remains pinned near zero, that divergence would most likely reflect contract-specific settlement risk rather than a pure opinion on the tennis.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini across the five venues with material prediction-market liquidity. The probability shown is the live Polymarket mid; the comparison rows summarise how each venue treats the underlying contract — fees, KYC thresholds, settlement currency, deposit options. The highlighted row marks the cheapest route into Polymarket's order book.

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

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.

Do I need to KYC for this market?

On Polymarket directly, no — it's wallet-based. Intermediary brokers like Kalshi vs Polymarket trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.

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.