Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via March Madness Predictions) Pick polygram.ink (preferred broker) |
50% | 50% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
50% | 50% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | See live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | See live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | See live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | See live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Rafael Jodar | 50% |
| Learner Tien | 50% |
| Jiri Lehecka | 50% |
| Lorenzo Musetti | 50% |
| E | 50% |
| F | 50% |
| G | 50% |
| H | 50% |
| I | 50% |
| J | 50% |
| Other | 50% |
| Luciano Darderi | 29% |
| Tommy Paul | 20% |
| Ben Shelton | 11% |
| Jakub Mensik | 8% |
| Arthur Fils | 6% |
| Frances Tiafoe | 5% |
| Casper Ruud | 4% |
| Tallon Griekspoor | 4% |
| Alex Michelsen | 4% |
| Brandon Nakashima | 4% |
| Matteo Arnaldi | 3% |
| Arthur Rinderknech | 3% |
| Hubert Hurkacz | 2% |
| Mariano Navone | 2% |
| Nuno Borges | 2% |
| Cameron Norrie | 2% |
| Alexei Popyrin | 2% |
| Jannik Sinner | 0% |
| Alexander Zverev | 0% |
| Daniil Medvedev | 0% |
| Andrey Rublev | 0% |
| Grigor Dimitrov | 0% |
| Stefanos Tsitsipas | 0% |
| Taylor Fritz | 0% |
| Ugo Humbert | 0% |
| Holger Rune | 0% |
| Felix Auger-Aliassime | 0% |
| Alejandro Tabilo | 0% |
| Karen Khachanov | 0% |
| Sebastian Korda | 0% |
| Nicolas Jarry | 0% |
| Alexander Bublik | 0% |
| Jack Draper | 0% |
| Gael Monfils | 0% |
| Adrian Mannarino | 0% |
| Jordan Thompson | 0% |
| Tomas Martin Etcheverry | 0% |
| Marcos Giron | 0% |
| Tomas Machac | 0% |
| Pedro Martinez | 0% |
| Alejandro Davidovich Fokina | 0% |
| Fabian Marozsan | 0% |
| Flavio Cobolli | 0% |
| Miomir Kecmanovic | 0% |
| Lorenzo Sonego | 0% |
| Roman Safiullin | 0% |
| Denis Shapovalov | 0% |
| Gabriel Diallo | 0% |
| Milos Raonic | 0% |
| Kei Nishikori | 0% |
| Vasek Pospisil | 0% |
| Pablo Carreno Busta | 0% |
| Dusan Lajovic | 0% |
| Giovanni Mpetshi Perricard | 0% |
| Corentin Moutet | 0% |
| Jaume Munar | 0% |
| Roberto Carballes Baena | 0% |
| Dominik Koepfer | 0% |
| Facundo Diaz Acosta | 0% |
| Max Purcell | 0% |
| Aleksandar Vukic | 0% |
| Marton Fucsovics | 0% |
| Hugo Gaston | 0% |
| Federico Coria | 0% |
| Sumit Nagal | 0% |
| Thiago Seyboth Wild | 0% |
| Rinky Hijikata | 0% |
| Christopher O'Connell | 0% |
| Daniel Altmaier | 0% |
Market context
The National Bank Open in Montreal is into its ATP Masters 1000 main draw, and the 2026 winner market should be read as a straight event-outcome bet rather than a broad form play. Recent editions show why these markets can move sharply: the tournament has been won by a mix of top seeds and outsiders in recent years, with Ben Shelton taking the men’s title in 2025 and Pablo Carreño Busta listed as the current titleholder on live tournament pages[17][2].
For context, a 0% YES price is usually consistent with an event that is not yet decided, not with a settled competitive edge. Montreal’s draw is the key reference point because Masters 1000 events can turn quickly on withdrawals, seed protection, or early losses, and live ranking data show several players still active across the ATP summer swing rather than locked into a single obvious favourite[14][1]. That leaves the market highly dependent on who survives the first few rounds rather than on pre-tournament reputation alone.
The main catalysts are official draw updates, injury or withdrawal announcements, and any schedule changes from the ATP or tournament organiser, since the market resolves only on the official winner and can fall to “Other” if the event is postponed beyond the stated deadline or finishes without a declared champion[15][1]. Traders will also want to watch for late entries and absences affecting the top end of the draw, especially as live fixtures and results continue to update through the event window[1][16].
Methodology
Sports-specific comparison page for ATP 1000 Montreal: Winner. 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
- 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.
- 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.
- 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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