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 |
|---|---|
| Palermo: Francesca Jones vs Fiona Ferro | 100% |
| Completed Match | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Set 1 Winner | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Match O/U 21.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Total Sets: O/U 2.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Match O/U 22.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Set 2 O/U 8.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Match O/U 23.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Set 2 O/U 9.5 | 100% |
| Palermo: Francesca Jones vs Fiona Ferro Set 1 O/U 8.5 | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set 2 Winner | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set Handicap +/-1.5 | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set 1 O/U 9.5 | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set Handicap +/-1.5 | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set 1 O/U 10.5 | 0% |
| Palermo: Francesca Jones vs Fiona Ferro Set 2 O/U 10.5 | 0% |
Market context
The Palermo final between Francesca Jones and Fiona Ferro is the real-world event behind the market, and the current crowd view of **42% YES** implies Jones is a moderate underdog rather than a clear favourite. That sits below the exchange-style price posted by Kalshi, which showed Jones at **48%**, while bookmaker-facing prices on PickDawgz and Sportsbet were also close enough to suggest a competitive match rather than a one-sided spot.[4][1][9]
Historically, markets around women’s clay-court finals in lower-tier events tend to move sharply on one item: confirmation that the match is actually proceeding as scheduled. Head-to-head data are not a strong separator here because the players have no meaningful prior H2H record in the available data, while recent form and surface results are being used instead by tipsters and odds compilers.[7][8] In that sense, the **main catalyst** is not a polling-style trend but the live match status and any late withdrawal, because that directly determines whether the contract resolves to a player, or to **50-50** if the match is not played or is delayed beyond the settlement rules.
For traders, the key watchpoints are the official start time, whether either player is listed in the final order of play, and any pre-match injury or withdrawal reports. Several preview sources published same-day pricing and predictions for the 26 July final, indicating the market is leaning on late schedule confirmation more than on a broad probability trend; that is consistent with odds staying fairly tight right up to the start.[1][3][6] If play begins, the remaining dependency is completion: any retirement or abandonment after a first-ball scenario can still determine the winner under the event rules, whereas a complete no-show pushes the market to **50-50**.
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 Palermo: Francesca Jones vs Fiona Ferro 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
- 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.
- 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.
- Which political events have the biggest volume?
- US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.
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