Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump 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 |
|---|---|
| Julián Álvarez | 100% |
| Lionel Messi | 100% |
| João Neves | 100% |
| Jude Bellingham | 100% |
| Luis Díaz | 100% |
| Lautaro Martínez | 100% |
| Virgil van Dijk | 100% |
| Jamal Musiala | 100% |
| Nuno Mendes | 100% |
| Kevin De Bruyne | 100% |
| Désiré Doué | 100% |
| Cristiano Ronaldo | 100% |
| Ousmane Dembélé | 100% |
| Enzo Fernández | 100% |
| Mohamed Salah | 100% |
| Cody Gakpo | 100% |
| Ismaïla Sarr | 100% |
| Rafael Leão | 100% |
| Alexis Mac Allister | 100% |
| Gabriel Martinelli | 100% |
| Viktor Gyökeres | 100% |
| Arda Güler | 100% |
| Fabián Ruiz | 100% |
| Casemiro | 100% |
| Mikel Merino | 100% |
| Raúl Jiménez | 100% |
| Gonçalo Ramos | 100% |
| Mikel Oyarzabal | 100% |
| Lisandro Martínez | 100% |
| Bradley Barcola | 100% |
| Alexander Isak | 100% |
| Dan Ndoye | 100% |
| Granit Xhaka | 100% |
| Breel Embolo | 100% |
| Matheus Cunha | 100% |
| Wilson Isidor | 100% |
| Folarin Balogun | 100% |
| Julio Enciso | 100% |
| Kai Havertz | 100% |
| Leroy Sané | 100% |
| Amad Diallo | 100% |
| Nicolas Pépé | 100% |
| Keito Nakamura | 100% |
| Anthony Elanga | 100% |
| Charles De Ketelaere | 100% |
| Romelu Lukaku | 100% |
| Leandro Trossard | 100% |
| Iliman Ndiaye | 100% |
| Marcel Sabitzer | 100% |
| Yoane Wissa | 100% |
| Marcus Rashford | 100% |
| Ivan Perišić | 100% |
| Neymar Jr. | 100% |
| Dário Leite | 48% |
| Eberechi Eze | 34% |
| Bukayo Saka | 21% |
| Dani Olmo | 21% |
| Ferran Torres | 17% |
| Nico Williams | 15% |
| Declan Rice | 14% |
| Marc Cucurella | 13% |
| Michael Olise | 13% |
| Marcus Thuram | 12% |
| Rodri | 11% |
| Pedri | 11% |
| Rayan Cherki | 8% |
| N'Golo Kanté | 6% |
| Reece James | 6% |
| Marc Guéhi | 6% |
| Aurélien Tchouaméni | 5% |
| Gavi | 4% |
| Pau Cubarsí | 3% |
| Ibrahima Konaté | 2% |
| Jules Koundé | 2% |
| Martin Zubimendi | 1% |
| Federico Valverde | 0% |
| Bruno Fernandes | 0% |
| Raphinha | 0% |
| Moisés Caicedo | 0% |
| Gabriel Magalhães | 0% |
| Florian Wirtz | 0% |
| Antoine Semenyo | 0% |
| Joshua Kimmich | 0% |
| Alphonso Davies | 0% |
| Bernardo Silva | 0% |
| Cole Palmer | 0% |
| Luka Modrić | 0% |
| Denzel Dumfries | 0% |
| Jérémy Doku | 0% |
| Antonio Rüdiger | 0% |
| Tijjani Reijnders | 0% |
| Rúben Dias | 0% |
| Bruno Guimarães | 0% |
| Frenkie de Jong | 0% |
| Trent Alexander-Arnold | 0% |
| Vitinha | 0% |
| Khvicha Kvaratskhelia | 0% |
| Robert Lewandowski | 0% |
| David Raya | 0% |
| Sadio Mané | 0% |
| Martin Ødegaard | 0% |
| William Pacho | 0% |
| Scott McTominay | 0% |
| Ryan Gravenberch | 0% |
| Fermín López | 0% |
| Joško Gvardiol | 0% |
| Marquinhos | 0% |
| William Saliba | 0% |
| João Pedro | 0% |
| Weston McKennie | 0% |
| João Cancelo | 0% |
| Christian Pulisic | 0% |
| Son Heung-min | 0% |
| Jeremie Frimpong | 0% |
| Kenan Yıldız | 0% |
| Kaoru Mitoma | 0% |
| Phil Foden | 0% |
| Kim Min-jae | 0% |
| Pervis Estupiñán | 0% |
| Noah Okafor | 0% |
| Abdulaziz Hatem | 0% |
| Ahmed Fathi | 0% |
| Igor Thiago | 0% |
| Endrick | 0% |
| Brahim Díaz | 0% |
| Josué Casimir | 0% |
| Che Adams | 0% |
| Ricardo Pepi | 0% |
| Miguel Almirón | 0% |
| Hakan Çalhanoğlu | 0% |
| Nick Woltemade | 0% |
| Lennart Kahl | 0% |
| Tahith Chong | 0% |
| Yann Bisseck | 0% |
| Ibrahim Sangaré | 0% |
| Teun Koopmeiners | 0% |
| Memphis Depay | 0% |
| Donyell Malen | 0% |
| Takefusa Kubo | 0% |
| Khalil Ayari | 0% |
| Omar Marmoush | 0% |
| Haissem Hassan | 0% |
| Chris Wood | 0% |
| Alexander Sørloth | 0% |
| Oscar Bobb | 0% |
| Emiliano Buendía | 0% |
| Carney Chukwuemeka | 0% |
| Pedro Neto | 0% |
| Luis Suárez | 0% |
| James Rodríguez | 0% |
| Mateo Kovačić | 0% |
| Iñaki Williams | 0% |
| Ismael Díaz | 0% |
| Luis Javier Suárez | 0% |
| Darwin Nunez | 0% |
Market context
The 2026 FIFA World Cup is underway in North America, with the tournament running until mid-July 2026. The listed player has a current crowd-implied probability of 0% for scoring a goal, suggesting the market views them as effectively unable to participate or score in any match. This mirrors historical cases where players withdrawn from squads due to injury, suspension, or non-selection prior to the tournament opener are priced at zero, as no goal can be recorded if the individual never takes the pitch. In past World Cups, similar zero-probability markets resolved definitively to “No” when the player was absent from all fixtures, regardless of their pre-tournament reputation.
Traders should monitor official squad announcements and match-day lineups from FIFA and national team federations, as any late inclusion could instantly shift the probability. With Kylian Mbappé currently favoured for the Golden Boot at 11/8 on Betway, the market is heavily leaning on top attackers like him, Kane, and Messi to drive scoring outcomes [3]. Recent campaign-finance disclosures and team declarations confirm that several high-profile players have already been confirmed in their squads, while others remain unlisted. The key catalyst is the final confirmation of the player’s participation in any match before the settlement window closes on 20 July 2026; without this, the market will resolve to “No” [1].
Methodology
Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for World Cup: Player to score plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.
Resolution & payout
Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.
Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.
FAQ
- What resolution source is used for elections?
- Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
- Can prediction markets influence election outcomes?
- Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
- Which platform has the deepest political liquidity?
- Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.
- How fast do political markets react to news?
- High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
- Are political prediction markets legal in my country?
- It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
Trade World Cup: Player to score on Trump Prediction
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