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Livesport Prague Open: Maria Timofeeva vs Sara Bejlek

Comparison of odds and platforms for "Livesport Prague Open: Maria Timofeeva vs Sara Bejlek" — sourced live from the Polymarket order book, curated by PolyGram.

Completed Match 100% Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set Handicap +/-1.5 100% Livesport Prague Open: Maria Timofeeva vs Sara Bejlek 0% Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 2 Winner 0% Volume: $285K Closes: 29 Jul 2026
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Livesport Prague Open: Maria Timofeeva vs Sara Bejlek

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Completed Match100%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set Handicap +/-1.5100%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek0%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 2 Winner0%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 1 Winner0%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 1 O/U 8.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Total Sets: O/U 2.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 2 O/U 8.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set Handicap +/-1.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Match O/U 21.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 1 O/U 9.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 2 O/U 9.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Match O/U 22.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 1 O/U 10.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Set 2 O/U 10.50%
Livesport Prague Open: Maria Timofeeva vs Sara Bejlek Match O/U 23.50%

Market context

Polymarket is pricing this Prague Open women’s match as effectively unresolved, with the contract sitting at **0% YES** on the crowd-implied read even though the scheduled meeting between Maria Timofeeva and Sara Bejlek has already been listed for 23 July. On Polymarket, that means users are holding a USDC-denominated position on Polygon through conditional tokens, with the payout depending on whether Timofeeva advances, Bejlek advances, or the market instead lands in a 50-50 settlement if the fixture is not played, tied, or delayed too long.

The broader market backdrop points more towards Bejlek than Timofeeva. Pre-match previews published for the Prague event had Bejlek as the selection, with quoted moneyline-style odds around 1.45 for Bejlek and 2.74 for Timofeeva, while another model-based preview gave Bejlek a 56% win probability.[1][6] Tennis Explorer’s matchup data also shows Bejlek with the shorter average odds at 1.64 versus 2.23 for Timofeeva, which is consistent with the outside favourite being the home player.[4] For Polymarket traders, that matters because a zero-price contract can still move sharply if the market was stale or if liquidity was thin around the first confirmed lineups.

The main catalysts now are straightforward: official order-of-play updates, live score confirmation, and any tournament-side change to the start time or court assignment. A Czech live coverage page listed the match to begin at 16:35 local time on 23 July, which supports the view that the fixture was intended to be played rather than abandoned.[2] If the match is not completed, the market rules become important: a walkover, cancellation, or a delay beyond seven days pushes settlement away from a normal winner outcome and towards the contract’s 50-50 fallback.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track Livesport Prague Open: Maria Timofeeva vs Sara Bejlek across the five venues with material prediction-market liquidity. The probability shown is the live Polymarket mid; the comparison rows summarise how each venue treats the underlying contract — fees, KYC thresholds, settlement currency, deposit options. The highlighted row marks the cheapest route into Polymarket's order book.

Resolution & payout

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

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 PolyGram. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
Is this market available outside the US?
Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.
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.
Do I need to KYC for this market?
On Polymarket directly, no — it's wallet-based. Intermediary brokers like PolyGram trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
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.
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