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Wimbledon ATP: Sho Shimabukuro vs Jaime Faria

How the sports market is pricing "Wimbledon ATP: Sho Shimabukuro vs Jaime Faria" right now — live quote plus platform comparison.

Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 2 O/U 8.5 100% Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 8.5 100% Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 9.5 100% Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 10.5 100% Volume: $212K Closes: 6 Jul 2026
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Wimbledon ATP: Sho Shimabukuro vs Jaime Faria

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
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 2 O/U 8.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 8.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 9.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 O/U 10.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 3 O/U 8.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 3 O/U 9.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 3 O/U 10.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 4 O/U 8.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Match O/U 36.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Match O/U 38.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Match O/U 40.5100%
Completed Match100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Total Sets: O/U 3.5100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 3 Winner100%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 2 O/U 9.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 2 O/U 10.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 4 O/U 9.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 4 O/U 10.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set Handicap +/-1.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set Handicap +/-2.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 1 Winner0%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria0%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Total Sets: O/U 4.50%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 2 Winner0%
Wimbledon ATP: Sho Shimabukuro vs Jaime Faria Set 4 Winner0%

Market context

Sho Shimabukuro and Jaime Faria are set to contest a first-round match at Wimbledon, with the crowd-implied probability of 100% favouring the Japanese player advancing. Historical precedents for such absolute certainty in early-round Grand Slam fixtures are rare, typically occurring only when a lower-ranked qualifier faces a significantly outmatched opponent or when a top seed’s opponent withdraws before play. In this case, the 100% probability likely stems from Faria’s lack of grass-court pedigree compared to Shimabukuro’s recent Stuttgart form, where he arrived in excellent grass-court condition despite a quarter-final loss to Ben Shelton[3]. Such market framing often ignores the volatility of first-week Wimbledon matches, where even slight surface inconsistencies can overturn perceived advantages.

Traders should monitor official draw confirmations and any pre-match injury announcements, as delays beyond seven days or cancellations would reset the market to a 50-50 outcome. Shimabukuro’s career-high ATP ranking of 89, achieved on 22 June 2026, positions him as the more experienced competitor against Faria, who ranks 97[6][2]. Recent news from Stuttgart highlights Shimabukuro’s strong grass-court readiness, a critical catalyst for his Wimbledon prospects[3]. No major coaching changes or key absences have been reported for either player, but any sudden withdrawal by Faria would instantly validate the 100% probability. The settlement window ends 6 July 2026, so all pre-match developments must be assessed before that deadline.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Sports-specific comparison page for Wimbledon ATP: Sho Shimabukuro vs Jaime Faria. 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

When do sports markets resolve?
Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.
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.
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.
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