Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via توقعات المونديال) Pick polygram.ink (preferred broker) |
49% | 51% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
49% | 51% | 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 |
|---|---|
| Robert F. Kennedy Jr. | 49% |
| J.D. Vance | 41% |
| Marco Rubio | 27% |
| Tucker Carlson | 3% |
| Ron DeSantis | 2% |
| Donald Trump | 1% |
| Tulsi Gabbard | 1% |
| Glenn Youngkin | 1% |
| Donald Trump Jr. | 1% |
| Nikki Haley | 1% |
| Vivek Ramaswamy | 1% |
| Sarah Huckabee Sanders | 1% |
| Greg Abbott | 1% |
| Robert F. Kennedy Jr. | 1% |
| Brian Kemp | 1% |
| Byron Donalds | 1% |
| Elise Stefanik | 1% |
| Josh Hawley | 1% |
| Ted Cruz | 1% |
| Elon Musk | 1% |
| Matt Gaetz | 1% |
| Katie Britt | 1% |
| John Thune | 1% |
| Kristi Noem | 1% |
| Mike Pence | 1% |
| Ivanka Trump | 1% |
| Tom Brady | 1% |
| Rand Paul | 1% |
| Steve Bannon | 1% |
| Erika Kirk | 1% |
| Kim Kardashian | 1% |
| Marjorie Taylor Greene | 1% |
| Thomas Massie | 1% |
| Eric Trump | 1% |
| Joe Kent | 1% |
| Pete Hegseth | 1% |
| Candace Owens | 0% |
| Person O | 0% |
| Person P | 0% |
| Person Q | 0% |
| Person R | 0% |
| Person S | 0% |
| Person T | 0% |
| Person U | 0% |
| Person V | 0% |
| Person W | 0% |
| Person X | 0% |
| Person Y | 0% |
| Person Z | 0% |
| Person AA | 0% |
| Person AB | 0% |
| Person AC | 0% |
| Person AD | 0% |
| Person AE | 0% |
| Person AF | 0% |
| Person AG | 0% |
| Person AH | 0% |
| Person AI | 0% |
| Person AJ | 0% |
| Person AK | 0% |
| Person AL | 0% |
| Person AM | 0% |
| Person AN | 0% |
| Person AO | 0% |
| Person AP | 0% |
| Person AQ | 0% |
| Person AR | 0% |
| Person AS | 0% |
| Person AT | 0% |
| Person AU | 0% |
| Person AV | 0% |
| Person AW | 0% |
| Person AX | 0% |
| Person AY | 0% |
| Person AZ | 0% |
| Person BA | 0% |
| Person BB | 0% |
| Person BC | 0% |
| Person BD | 0% |
| Person BE | 0% |
| Person BF | 0% |
| Person BG | 0% |
| Person BH | 0% |
| Person BI | 0% |
| Person BJ | 0% |
| Person BK | 0% |
| Person BL | 0% |
| Person BM | 0% |
| Person BN | 0% |
| Person BO | 0% |
| Person BP | 0% |
| Person BQ | 0% |
| Person BR | 0% |
| Person BS | 0% |
| Person BT | 0% |
| Person BU | 0% |
| Person BV | 0% |
| Person BW | 0% |
| Person BX | 0% |
| Person BY | 0% |
| Person BZ | 0% |
| Person CA | 0% |
| Person CB | 0% |
| Person CC | 0% |
| Person CD | 0% |
| Person CE | 0% |
| Person CF | 0% |
| Person CG | 0% |
| Person CH | 0% |
| Person CI | 0% |
| Person CJ | 0% |
| Person CK | 0% |
| Person CL | 0% |
| Person CM | 0% |
| Person CN | 0% |
| Person CO | 0% |
| Person CP | 0% |
| Person CQ | 0% |
| Person CR | 0% |
| Person CS | 0% |
| Person CT | 0% |
| Person CU | 0% |
| Person CV | 0% |
| Person CW | 0% |
| Person CX | 0% |
| Person CY | 0% |
| Person CZ | 0% |
| Other | 0% |
Market context
The real-world event is the 2028 Republican Party nomination for U.S. president, where the market currently assigns a 1% chance to any specific individual winning and accepting the role. This probability mirrors historical precedents where early prediction markets for open-convention years or post-incumbent transitions often show fragmented odds, as no single candidate has yet consolidated the necessary party backing. Comparable cases include the 2016 Republican primary, where early markets struggled to identify Trump as the eventual nominee until his momentum became undeniable, or the 2008 contest where McCain’s path was unclear until late in the cycle. In both instances, initial low probabilities for specific individuals reflected the genuine uncertainty of a crowded field rather than a dismissal of their eventual viability.
Traders should monitor upcoming campaign announcements, primary schedule releases, and shifts in polling data that could signal a consolidation of support. Recent polling from Emerson College, discussed on Forbes Newsroom, reveals a major shift in the 2028 Republican field: JD Vance leads at 36%, but Marco Rubio is in an effective tie at 35%, while DeSantis and Haley trail at 5% with 15% undecided[1]. This data suggests Rubio’s rising appeal among voters over 50 (41% support) could challenge Vance’s dominance among younger demographics. Key catalysts include Vance’s need to cement his status as the candidate to beat by early 2027, as Trump remains noncommittal on the successor[5], and potential entries from figures like Josh Hawley or Marjorie Taylor Greene, who could disrupt the current line-up[3]. The market’s 1% figure likely reflects the early stage of the race, where no individual has yet achieved the threshold of certainty required for higher pricing.
Methodology
Football-specific comparison page for توقع: Republican Presidential Nominee 2028. 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.
- 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.
- 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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