Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
81% | 19% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
81% | 19% | 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 |
|---|---|
| Scottie Scheffler | 81% |
| S.Y. Noh | 50% |
| Kurt Kitayama | 44% |
| Sung-Jae Im | 31% |
| Jake Knapp | 29% |
| Maverick McNealy | 25% |
| Tom Kim | 25% |
| Hideki Matsuyama | 24% |
| Sam Stevens | 23% |
| Michael Brennan | 23% |
| Tony Finau | 22% |
| Lucas Glover | 21% |
| Jackson Koivun | 20% |
| Corey Conners | 19% |
| Keith Mitchell | 18% |
| Jordan L. Smith | 18% |
| Benjamin James | 18% |
| Mac Meissner | 18% |
| Pierceson Coody | 17% |
| Jackson Suber | 17% |
| Max Homa | 17% |
| Doug Ghim | 17% |
| Christiaan Bezuidenhout | 17% |
| Brian Harman | 17% |
| Ben Kohles | 17% |
| Taylor Moore | 17% |
| Rasmus Neergaard-Petersen | 16% |
| Casey Jarvis | 16% |
| Max McGreevy | 16% |
| Johnny Keefer | 15% |
| Davis Thompson | 15% |
| Gary Woodland | 14% |
| Michael Kim | 14% |
| Ricky Castillo | 14% |
| Beau Hossler | 14% |
| Andrew Putnam | 14% |
| Zach Bauchou | 14% |
| Denny McCarthy | 14% |
| Zac Blair | 14% |
| Sudarshan Yellamaraju | 13% |
| Max Greyserman | 13% |
| Taylor Pendrith | 13% |
| Mackenzie Hughes | 13% |
| John Parry | 13% |
| Rico Hoey | 13% |
| Keita Nakajima | 13% |
| Takumi Kanaya | 13% |
| William Mouw | 12% |
| Aldrich Potgieter | 12% |
| Kevin Yu | 12% |
| Steven Fisk | 12% |
| Emiliano Grillo | 12% |
| Lee Hodges | 12% |
| Seamus Power | 12% |
| Kristoffer Ventura | 12% |
| Joel Dahmen | 12% |
| Jesper Svensson | 11% |
| Austin Smotherman | 11% |
| Tom Hoge | 11% |
| Kevin Roy | 11% |
| Brandt Snedeker | 11% |
| Stephan Jaeger | 10% |
| Preston Stout | 10% |
| Hao-Tong Li | 10% |
| Thorbjorn Olesen | 10% |
| Billy Horschel | 10% |
| Ze-Cheng Dou | 10% |
| Matt Kuchar | 10% |
| Chris Kirk | 10% |
| Austin Eckroat | 10% |
| Patrick Rodgers | 9% |
| Patrick Fishburn | 9% |
| A.J. Ewart | 9% |
| Garrick Higgo | 9% |
| Chad Ramey | 9% |
| David Lipsky | 9% |
| Chandler Phillips | 9% |
| Matthieu Pavon | 8% |
| Nick Dunlap | 8% |
| Karl Vilips | 8% |
| Neal Shipley | 8% |
| David Skinns | 8% |
| Aaron Wise | 8% |
| Lanto Griffin | 8% |
| Adrien Dumont De Chassart | 7% |
| Erik Van Rooyen | 7% |
| Luke Clanton | 7% |
| Trace Crowe | 7% |
| Mark Hubbard | 7% |
| Adam Hadwin | 7% |
| Ryder Cowan | 6% |
| Pontus Nyholm | 6% |
| Hayden Springer | 6% |
| Harry Higgs | 6% |
| Cameron Champ | 6% |
| Vince Whaley | 6% |
| Gordon Sargent | 5% |
| Jimmy Stanger | 5% |
| Luke List | 4% |
| Jason Day | 0% |
Market context
Based on real-money crowd forecasting, pga tour: 3m open top 20 stands at 81% likelihood according to current market consensus. This market will resolve to "Yes" if the listed player finishes in the top 20 at the 2026 3M Open tournament, including ties. Otherwise, this market will resolve to "No". If final …
Methodology
This page tracks PGA Tour: 3M Open Top 20 across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Trump Prediction provide a 0%-fee route into the same order book.
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
- How accurate are political prediction markets?
- Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
- 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.
- Why do Polymarket and Kalshi differ on elections?
- Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
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