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Wimbledon WTA: Jasmine Paolini vs Alexandra Eala

How the on-chain market is pricing "Wimbledon WTA: Jasmine Paolini vs Alexandra Eala" right now, plus comparison with Kalshi, Betfair and Manifold.

Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 Winner 100% Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 O/U 8.5 100% Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 O/U 9.5 100% Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Total Sets: O/U 2.5 89% Volume: $865K Liquidity: $308K Closes: 12 Jul 2026
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Wimbledon WTA: Jasmine Paolini vs Alexandra Eala

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 Winner100%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 O/U 8.5100%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 O/U 9.5100%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Total Sets: O/U 2.589%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Match O/U 21.575%
Completed Match50%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 2 O/U 8.550%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Match O/U 22.550%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 2 O/U 9.550%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 2 O/U 10.550%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Match O/U 23.550%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala45%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 2 Winner5%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set Handicap +/-1.55%
Wimbledon WTA: Jasmine Paolini vs Alexandra Eala Set 1 O/U 10.50%

Market context

The upcoming fourth-round WTA clash at Wimbledon pits Jasmine Paolini against Alexandra Eala on Centre Court, with the match originally set for 6:00 AM ET on 5 July but now scheduled for 13:30 BST on 6 July. The market currently assigns a 45% probability to Paolini advancing, implying a slight edge for Eala despite Paolini’s recent resilience against top contenders. This probability sits in a familiar zone for matches where a lower-ranked player has previously upset a defending champion, as seen when Eala defeated Paolini 6–1, 7–6(5) in the Dubai Round of 32 earlier in 2026[8]. Historical data from similar grass-court encounters suggests that when a player has already beaten their opponent in a prior hard-court tournament, the grass surface often narrows the gap further, making the 45% figure a plausible reflection of Eala’s momentum rather than Paolini’s form[4].

Traders should monitor live weather updates and any potential schedule shifts, as Wimbledon’s outdoor conditions can delay play and alter player readiness, particularly for Paolini who has faced multiple troubles in recent matches[4]. The settlement window closes on 12 July 2026 at 10:00 UTC, with USDC settlement tied to on-chain mechanics that mirror BTC/ETH macro movements; whale flows into prediction contracts have recently spiked ahead of major WTA events, suggesting institutional interest in this matchup[3]. For context, exchange spot funding rates for tennis-related crypto derivatives have risen 12% over the past week, indicating heightened speculation[3]. Traders must also watch for official WTA announcements regarding player fitness, as any delay beyond seven days without a winner would resolve the market to a 50–50 split, a clause that adds volatility to the current pricing[7].

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page reads Wimbledon WTA: Jasmine Paolini vs Alexandra Eala on-chain. Polymarket's quote comes directly from the Polygon order book — the only comparable venue with on-chain settlement. Kalshi (USD, off-chain), Betfair (GBP/EUR, off-chain) and Manifold (play-money) are listed alongside for venue context. Every CTA routes to BTC Prediction, which mirrors the Polymarket order book directly.

Resolution & payout

Settlement is on-chain via UMA Optimistic Oracle. A proposer posts the outcome with a bond, a two-hour dispute window opens, then the smart contract lifts winning conditional tokens to 1 USDC and sends payments to holders' wallets automatically. No withdrawal fees beyond Polygon gas.

Off-chain venues (Kalshi, Betfair, Smarkets) settle in local fiat through bank-side clearing — faster than SWIFT, slower than on-chain. Manifold pays no real cash.

FAQ

Why USDC and not ETH or USDT?
USDC is the Polygon standard — audited reserves (Circle, monthly attestation), deepest order book, low gas costs. ETH volatility would distort probability quotes; USDT has thinner Polygon liquidity than USDC.
What does a transaction cost on Polygon?
Polygon gas is typically under $0.01 per transaction. A full trade cycle (Approve + Order + Fill) totals around $0.03 — compared to $5-50 on Ethereum mainnet.
Can I use Bitcoin directly?
No, Polymarket operates exclusively in USDC on Polygon. You can bridge BTC to USDC via an exchange or bridge service and deposit on Polygon — typically 10-30 minutes processing time.
How volatile are crypto prediction markets?
Crypto markets react to spot prices — a 5% BTC move typically shifts a "BTC above X by date" market 10-20%. Polymarket crypto market liquidity is usually six-figure USD, sufficient for active trading.
Are crypto prediction markets taxable in the US?
In the US, prediction market gains are typically treated as ordinary income or short-term capital gains depending on holding period. Consult a tax professional for your specific situation — we cannot provide tax advice.
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Related Topics

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