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Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri

Five-platform snapshot of "Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri" — live Polymarket pricing, plus how Kalshi, Betfair and Manifold structure the same contract.

Completed Match 100% Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 Winner 100% Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 O/U 8.5 100% Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Total Sets: O/U 2.5 100% Volume: $466K Closes: 27 Jul 2026
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Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Prediction Today) 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.

OutcomeProbability
Completed Match100%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 Winner100%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 O/U 8.5100%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Total Sets: O/U 2.5100%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri0%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 2 Winner0%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 O/U 9.50%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set Handicap +/-1.50%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 2 O/U 9.50%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 1 O/U 10.50%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set Handicap +/-1.50%
Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri Set 2 O/U 10.50%

Market context

Live Polymarket data shows 100% YES probability for Palermo: Amarissa Kiara Toth vs Jennifer Ruggeri. This market refers to the tennis match between Amarissa Kiara Toth and Jennifer Ruggeri in the Palermo, originally scheduled for July 20, 2026 at 12:30PM ET. This market will resolve to 'Amarissa Kia…

Methodology

This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Prediction Today, which mirrors the Polymarket order book directly.

Resolution & payout

At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.

On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.

FAQ

Where can I trade this market with the lowest fees?
Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Prediction Today. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
How does resolution work?
Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.
What does Polymarket cost to trade?
Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.
How fast are USDC deposits?
Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
How reliable are the quoted odds?
The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
and

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Related Topics

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