Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Best Prediction Markets) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Completed Match | 100% |
| National Bank Open: Kayla Day vs Coco Gauff Set 2 O/U 8.5 | 100% |
| National Bank Open: Kayla Day vs Coco Gauff Set Handicap +/-1.5 | 100% |
| National Bank Open: Kayla Day vs Coco Gauff Set 2 O/U 9.5 | 100% |
| National Bank Open: Kayla Day vs Coco Gauff Set 2 O/U 10.5 | 100% |
| National Bank Open: Kayla Day vs Coco Gauff | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Set 1 Winner | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Set 1 O/U 8.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Total Sets: O/U 2.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Match O/U 21.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Set 2 Winner | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Set 1 O/U 9.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Match O/U 22.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Set 1 O/U 10.5 | 0% |
| National Bank Open: Kayla Day vs Coco Gauff Match O/U 23.5 | 0% |
Market context
Kayla Day’s match with Coco Gauff at the National Bank Open is priced as a one-sided contest across most platforms, even though the crowd-implied probability on this contract is sitting at **0% YES**. By comparison, tennis books are broadly aligned on Gauff as the clear favourite: BetUS has Gauff at **-1000** versus Day at **+600**, while Sportsbet quotes **1.08** for Gauff and **6.50** for Day.[1][19] Third-party model and tipster pages point in the same direction, with Tennis.com projecting Gauff to win **87%** of the time and Kalshi showing about **87%** for Gauff on the match contract.[2][17] That leaves little room for a genuine disagreement on the winner, though the prediction market’s flat **0%** suggests the contract may simply be mispriced, stale, or reflecting very limited trading rather than a meaningful alternative read.
Comparable pre-match cases in women’s tennis typically show the market compressing fastest on elite-versus-qualifier pairings, especially when the favourite is a top-four player. Here, the surrounding consensus is not just that Gauff should advance, but that she may do so in straight sets: one preview market leans to **under 19.5 games**, and several tip pages frame a routine Gauff win as the base case.[3][11][13] The main trading point is therefore not whether Gauff is favoured, but how much the match format, game count, or any late disruption could matter if the contract is resolved under its cancellation and retirement rules. If the match is not played, finishes without a winner, or is delayed beyond seven days, the market moves to **50-50** rather than a side win.
For traders, the key catalysts are the official order of play, any weather or scheduling slippage in Toronto, and whether either player is confirmed to start on time. Because the market description ties settlement to advancement, a retirement after the match begins would still matter, whereas a complete non-starter would not. Flashscore and other live listings were already carrying the fixture on 5 August, which suggests the principal near-term risk is not absence from the schedule but last-minute delay, withdrawal, or in-play retirement.[6][7] In practice, cross-platform divergence is widest here between the prediction contract’s **0%**, sportsbook moneylines that imply roughly a **90%+** Gauff chance, and analyst consensus clustered in the **mid-to-high 80s**.[1][2][17]
Methodology
We track National Bank Open: Kayla Day vs Coco Gauff 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
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.
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 Best Prediction Markets. 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.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Best Prediction Markets 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.
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