Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) 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 |
|---|---|
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak | 100% |
| Completed Match | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 2 Winner | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Total Sets: O/U 3.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Match O/U 36.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Total Sets: O/U 4.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Match O/U 38.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Match O/U 40.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 4 Winner | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 3 O/U 8.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 3 O/U 9.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 3 O/U 10.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 4 O/U 8.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 4 O/U 9.5 | 100% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 1 Winner | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 1 O/U 8.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set Handicap +/-1.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 2 O/U 8.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 3 Winner | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 1 O/U 9.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set Handicap +/-2.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 2 O/U 9.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 1 O/U 10.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 2 O/U 10.5 | 0% |
| Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak Set 4 O/U 10.5 | 0% |
Market context
The real-world event is the second-round Wimbledon ATP match between Zachary Svajda and Kamil Majchrzak, originally slated for 1 July but now confirmed as completed with Svajda winning 2–6, 6–2, 6–7, 6–3, 6–4 after a five-set contest on 2 July 2026[1]. This outcome directly contradicts the market’s 100% YES crowd-implied probability that Svajda would advance, as the match has already concluded with Svajda as the victor, meaning the market should resolve to “Zachary Svajda” rather than the implied certainty of a future event[1].
Historically, markets assigning 100% probability to a future tennis outcome before a match is played have collapsed when the event concludes unexpectedly or when pre-match odds shift dramatically; in this case, pre-match models gave Majchrzak a 57.6% win probability, with odds of –163 versus Svajda’s +150, indicating strong analytical doubt about Svajda’s advancement[3]. Comparable cases include 2024 Wimbledon first-round markets where 95% probabilities on top seeds failed when lower-ranked players won in five sets, mirroring Svajda’s narrow, high-variance victory[3].
Traders should monitor official ATP tournament updates confirming the match result and any post-match statements from Svajda or Majchrzak regarding fitness or future scheduling, as these may influence next-round draw implications[2]. Recent preview analysis from The Stats Zone incorrectly tipped Majchrzak to win, highlighting the volatility in pre-match assessments for this fixture[2]. No further announcements are expected, as the match is completed, and the settlement window ending 8 July 2026 will now resolve based on the confirmed outcome[1].
Methodology
Sports-specific comparison page for Wimbledon ATP: Zachary Svajda vs Kamil Majchrzak. 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 or Manifold.
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
- When do sports markets resolve?
- Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.
- Can I bet on individual matches?
- Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
- 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.
- Which sports markets are available?
- Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
- 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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