Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via World Cup 2026 Favorites) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Trade this market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Trade this market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Trade this market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Trade this market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 2 O/U 8.5 | 100% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 1 O/U 9.5 | 100% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 1 Winner | 100% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 1 O/U 8.5 | 100% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 1 O/U 10.5 | 100% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Total Sets: O/U 3.5 | 76% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 3 O/U 8.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 3 O/U 9.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 3 O/U 10.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 4 O/U 8.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 4 O/U 9.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 4 O/U 10.5 | 50% |
| Completed Match | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set Handicap +/-1.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Total Sets: O/U 4.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Match O/U 40.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Match O/U 36.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Match O/U 38.5 | 50% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 4 Winner | 36% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata | 18% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 3 Winner | 9% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set Handicap +/-2.5 | 4% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 2 O/U 10.5 | 0% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 2 Winner | 0% |
| Wimbledon ATP: Jesper de Jong vs Rinky Hijikata Set 2 O/U 9.5 | 0% |
Market context
The underlying event is the first-round Wimbledon ATP match between Jesper de Jong and Rinky Hijikata, scheduled for 6:00pm on Court 10 today, with the market currently pricing a 100% YES outcome for de Jong advancing despite initial odds favouring Hijikata. This extreme probability contradicts historical precedents where 100% crowd-implied outcomes in first-round grass matches rarely materialised; for instance, in 2024, several matches with near-certainty pricing ended in cancellations or unexpected set losses due to unforced errors on grass, a surface where de Jong holds a negative 6–12 career record compared to Hijikata’s 7–3 grass success in 2026[1]. Such cases frame the current pricing as potentially overconfident, ignoring the volatility inherent in debut grass encounters where no head-to-head record exists to stabilise expectations[1].
Traders must monitor three immediate catalysts: de Jong’s recovery from his Parma Challenger loss to Djere on 16 June, which may indicate lingering fatigue; Hijikata’s superior recent form with a 59% win rate over the last 12 months versus de Jong’s 54%[3]; and any official announcements regarding court conditions or player suspensions that could alter the match dynamics. Recent analysis from Tennis Tonic explicitly picked Hijikata to win in five sets, citing his stronger grass performance and career aggregate of 28–20 in 2026 versus de Jong’s 20–18 record[1]. The settlement window ending 6 July 2026 allows time for delayed rulings, but the primary risk lies in de Jong’s poor grass history and the absence of prior matchups to validate the 100% pricing[1].
Methodology
Football-specific comparison page for Wimbledon ATP: Jesper de Jong vs Rinky Hijikata. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi (US-focused) or Manifold (play-money).
Resolution & payout
Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- Are prediction markets better than sports betting?
- Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
- What are live sports odds on Polymarket?
- Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
- How fast do sports winnings settle?
- Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
- What's the difference between match odds and outright odds?
- Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
- Can I import form data and lineups?
- This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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