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توقع: US Open, Qualification ATP: Luca Nardi vs Federico Cina

"توقع: US Open, Qualification ATP: Luca Nardi vs Federico Cina" — live football odds plus comparison across the four major prediction venues.

US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 O/U 8.5 100% US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 O/U 9.5 100% US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 2 O/U 8.5 50% US Open, Qualification ATP: Luca Nardi vs Federico Cina Match O/U 21.5 50% Volume: $273K Closes: 1 Sept 2026
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توقع: US Open, Qualification ATP: Luca Nardi vs Federico Cina

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 O/U 8.5100%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 O/U 9.5100%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 2 O/U 8.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Match O/U 21.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 2 Winner50%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set Handicap +/-1.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Total Sets: O/U 2.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Match O/U 22.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 2 O/U 9.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set Handicap +/-1.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 2 O/U 10.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Match O/U 23.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Game Spread +/-2.550%
US Open, Qualification ATP: Luca Nardi vs Federico Cina0%
Completed Match0%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 Winner0%
US Open, Qualification ATP: Luca Nardi vs Federico Cina Set 1 O/U 10.50%

Market context

Luca Nardi and Federico Cinà were due to meet in the first round of US Open qualifying on hard courts in New York, with court listings putting the match on Court 13 and one source reporting Nardi as the projected favourite before play. The market’s 0% YES price is consistent with a match where the result is not yet reflected in the line, but the real point for traders is whether the contest is completed inside the settlement window or pushed into a retirement/abandonment outcome.

The historical frame is thin: the head-to-head was listed at 0-0 before the tie, and both players have been trading mostly at Challenger and qualifying level rather than on the main ATP tour. Recent results suggest neither profile was especially secure entering New York, with Nardi’s 2026 record described as mixed and Cinà’s season form also uneven, which tends to make short-format qualifying matches more volatile than the pre-match probability implies. One Italian report said Cinà had progressed after Nardi retired with a right knee problem in a 6-4, 3-0 match, which, if applicable to the market’s resolved event, would point strongly towards Cinà rather than a no-contest scenario.

The main catalysts are simple: whether the scheduled first-round qualifying match was actually played, whether any retirement was officially recorded, and whether the US Open qualifying order of play shifted because of earlier delays. Courts and start times in qualifying can move quickly, so traders should watch official draw updates, walkovers, and injury notes from New York; if the match was completed, the settlement should follow the on-court winner, while any non-completion before a decisive result would keep the 50-50 fallback in play.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for توقع: US Open, Qualification ATP: Luca Nardi vs Federico Cina. 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 (US-focused) or Manifold (play-money).

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.
Can I bet on individual matches?
Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
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.
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.
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