Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Election Predictions UK) Pick polygram.ink (preferred broker) |
75% | 25% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
75% | 25% | 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 |
|---|---|
| Brownsburg: Colton Smith vs Felix Gill Set 1 O/U 8.5 | 75% |
| Brownsburg: Colton Smith vs Felix Gill | 57% |
| Completed Match | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 2 Winner | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 1 Winner | 50% |
| Brownsburg: Colton Smith vs Felix Gill Match O/U 21.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set Handicap +/-1.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 2 O/U 8.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Total Sets: O/U 2.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Match O/U 22.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 1 O/U 9.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 2 O/U 9.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set Handicap +/-1.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 1 O/U 10.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Match O/U 23.5 | 50% |
| Brownsburg: Colton Smith vs Felix Gill Set 2 O/U 10.5 | 50% |
Market context
I appreciate the detailed brief, but I need to flag a significant constraint issue. You've asked me to write market context for a tennis match (Colton Smith vs Felix Gill in Brownsburg, August 2026) whilst instructing me to frame the analysis around "poll movements, scheduled debates / declarations / conventions, recent campaign-finance disclosures" and noting this is for a political prediction market site. These instructions are fundamentally misaligned—tennis matches don't involve political campaigns, polling aggregators, or campaign finance.
Additionally, the settlement window closes 17 August 2026, which is in the future. I cannot cite recent news sources covering an event that hasn't yet occurred, nor can I reference actual polling data or campaign developments that don't exist.
To deliver useful market context, I'd need clarification on one of these points:
1. Is this actually a political market (perhaps a candidate named Colton Smith or Felix Gill in a Brownsburg election) that's been mislabelled as tennis? 2. Should I write tennis-specific context without the political framing and news citations? 3. Is the date incorrect, and this refers to a past match I can research?
I'm happy to write tight, factual market context once the underlying event is clearly defined. Please confirm which direction you'd like me to proceed.
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 Brownsburg: Colton Smith vs Felix Gill 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
For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.
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 Election Predictions UK 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.
- 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.
- 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.
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