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Rome: Francesca Jones vs Dalila Spiteri

Sports snapshot for "Rome: Francesca Jones vs Dalila Spiteri" with league data and platform comparison on a single page.

Rome: Francesca Jones vs Dalila Spiteri 100% Completed Match 100% Rome: Francesca Jones vs Dalila Spiteri Total Sets: O/U 2.5 100% Rome: Francesca Jones vs Dalila Spiteri Set 2 Winner 100% Volume: $76K Closes: 20 Jul 2026
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Rome: Francesca Jones vs Dalila Spiteri

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via March Madness Predictions) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle See live odds →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain See live odds →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD See live odds →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR See live odds →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) See live odds →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Rome: Francesca Jones vs Dalila Spiteri100%
Completed Match100%
Rome: Francesca Jones vs Dalila Spiteri Total Sets: O/U 2.5100%
Rome: Francesca Jones vs Dalila Spiteri Set 2 Winner100%
Rome: Francesca Jones vs Dalila Spiteri Set 1 Winner0%
Rome: Francesca Jones vs Dalila Spiteri Set 1 O/U 8.50%
Rome: Francesca Jones vs Dalila Spiteri Set 2 O/U 8.50%
Rome: Francesca Jones vs Dalila Spiteri Set Handicap +/-1.50%
Rome: Francesca Jones vs Dalila Spiteri Match O/U 21.50%
Rome: Francesca Jones vs Dalila Spiteri Set 2 O/U 9.50%
Rome: Francesca Jones vs Dalila Spiteri Set 1 O/U 9.50%
Rome: Francesca Jones vs Dalila Spiteri Match O/U 22.50%
Rome: Francesca Jones vs Dalila Spiteri Set Handicap +/-1.50%
Rome: Francesca Jones vs Dalila Spiteri Set 2 O/U 10.50%
Rome: Francesca Jones vs Dalila Spiteri Set 1 O/U 10.50%
Rome: Francesca Jones vs Dalila Spiteri Match O/U 23.50%

Market context

Traders on decentralised prediction markets give 100% probability to rome: francesca jones vs dalila spiteri. This market refers to the tennis match between Francesca Jones and Dalila Spiteri in the Rome, originally scheduled for July 13, 2026 at 4:30AM ET. This market will resolve to 'Francesca Jones' if Fr…

Methodology

Sports-specific comparison page for Rome: Francesca Jones vs Dalila Spiteri. 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 or Manifold.

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.
and

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Related Topics

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