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Wimbledon WTA: Dayana Yastremska vs Aoi Ito

"Wimbledon WTA: Dayana Yastremska vs Aoi Ito" — live political-market odds plus comparison across the four major prediction venues.

Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 Winner 100% Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 O/U 9.5 100% Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 O/U 10.5 100% Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 2 O/U 8.5 100% Volume: $418K Liquidity: $169K Closes: 6 Jul 2026
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Wimbledon WTA: Dayana Yastremska vs Aoi Ito

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
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.

OutcomeProbability
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 Winner100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 O/U 9.5100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 O/U 10.5100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 2 O/U 8.5100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 2 O/U 9.5100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 1 O/U 8.5100%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito94%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Match O/U 23.587%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Match O/U 21.575%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Match O/U 22.575%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Total Sets: O/U 2.575%
Completed Match50%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set Handicap +/-1.51%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 2 O/U 10.50%
Wimbledon WTA: Dayana Yastremska vs Aoi Ito Set 2 Winner0%

Market context

The underlying real-world event is the first-round Wimbledon WTA match between Dayana Yastremska and Aoi Ito, scheduled to begin at 6:00 AM ET on 29 June 2026 on Court 5. With a crowd-implied probability of 75% favouring Yastremska to advance, the market reflects a strong expectation that the Ukrainian will overcome the Japanese opponent in what is their inaugural head-to-head contest. Historical precedents in early-round grass-court tournaments show that players with recent winning form—Yastremska has secured seven victories in her last ten matches—typically dominate opponents with weaker recent records, such as Ito, who has won only three of her previous ten outings[2][4]. In comparable cases from recent Wimbledon editions, first-time matchups on grass have rarely produced upsets when the higher-ranked player demonstrates superior match fitness, reinforcing the 75% valuation as grounded in form rather than speculation.

Traders should monitor post-match developments and any official announcements regarding player fitness or schedule changes, as these could act as catalysts for probability shifts. While no head-to-head record exists between the two, Tennis Tonic explicitly picks Yastremska to win in two sets, citing her initial odds of 1.21 against Ito’s 4.40[2]. The market is leaning on Yastremska’s current form and ranking advantage (world number 66 versus 228) as the primary driver, with no external political or campaign-finance disclosures influencing this tennis-specific outcome[8]. Given the settlement window ends on 6 July 2026, any delay beyond seven days from the scheduled date without a winner would resolve the market to 50-50, making timely completion critical. The absence of prior encounters means the probability rests entirely on surface performance and recent match results, with grass-court specialists typically holding a distinct edge in such debut matchups.

Sources: 1 · 2 · 3 · 4 · 5

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 Wimbledon WTA: Dayana Yastremska vs Aoi Ito 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.
Can prediction markets influence election outcomes?
Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
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.
How fast do political markets react to news?
High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
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.
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Related Topics

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