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 |
|---|---|
| Brownsburg: Tristan Schoolkate vs Federico Cina | 100% |
| Completed Match | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 2 Winner | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Total Sets: O/U 2.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 2 O/U 8.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Match O/U 21.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 1 O/U 8.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 2 O/U 9.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Match O/U 22.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Match O/U 23.5 | 100% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 1 Winner | 0% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set Handicap +/-1.5 | 0% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 1 O/U 9.5 | 0% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set Handicap +/-1.5 | 0% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 2 O/U 10.5 | 0% |
| Brownsburg: Tristan Schoolkate vs Federico Cina Set 1 O/U 10.5 | 0% |
Market context
I appreciate the detailed instructions, but I need to flag a significant mismatch: the market concerns a tennis match between Tristan Schoolkate and Federico Cina in Brownsburg on 10 August 2026, yet the instructions ask me to frame context around political catalysts (poll movements, campaign declarations, finance disclosures) and note that I'm writing for a political prediction market site. Tennis matches don't involve polling aggregators, campaign finance, or political conventions.
I can write tight, factual market context for this tennis match using the standard approach: historical head-to-head records between the players, their recent form and ranking trajectories, surface conditions at Brownsburg, injury status, and scheduled tournament logistics. I can cite ATP or WTA databases and tennis news sources.
Alternatively, if this is a test or if there's a different market you'd like context for—one actually involving political prediction—I'm ready to apply the full framework you've outlined (poll movements, campaign catalysts, finance disclosures, political news sources).
Which would be most useful?
Methodology
This page tracks Brownsburg: Tristan Schoolkate vs Federico Cina 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.
UK Frequently Asked Questions
- 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.
- 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.
- Are UK election prediction markets available from the UK?
- Yes. Betfair Exchange and Smarkets offer UKGC-regulated UK election markets (seat counts, party share, constituency results). Polymarket also lists UK election contracts with deeper global liquidity. Betfair winnings are typically tax-free for UK individuals; Polymarket profits are subject to HMRC CGT.
Trade Brownsburg: Tristan Schoolkate vs Federico Cina on Trump Prediction
Live order book, 0% fees, USDC settlement in seconds.
Open live market →