🎁 New traders: 100% Deposit Match up to $500 · 0% fees · instant USDC payoutsClaim it →
Skip to main content
HomeGuideCryptoMarketsBlogOpen the market →

Bastad: Mona Barthel vs Lola Radivojevic

Live odds for "Bastad: Mona Barthel vs Lola Radivojevic" pulled from the Polygon order book, alongside the platform attributes of every venue that runs this contract.

Completed Match 100% Bastad: Mona Barthel vs Lola Radivojevic Set 1 O/U 8.5 100% Bastad: Mona Barthel vs Lola Radivojevic Set 1 O/U 9.5 100% Bastad: Mona Barthel vs Lola Radivojevic Set Handicap +/-1.5 100% Volume: $171K Closes: 13 Jul 2026
Open live market →
Bastad: Mona Barthel vs Lola Radivojevic

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%
Bastad: Mona Barthel vs Lola Radivojevic Set 1 O/U 8.5100%
Bastad: Mona Barthel vs Lola Radivojevic Set 1 O/U 9.5100%
Bastad: Mona Barthel vs Lola Radivojevic Set Handicap +/-1.5100%
Bastad: Mona Barthel vs Lola Radivojevic0%
Bastad: Mona Barthel vs Lola Radivojevic Set 1 Winner0%
Bastad: Mona Barthel vs Lola Radivojevic Set 2 Winner0%
Bastad: Mona Barthel vs Lola Radivojevic Set 2 O/U 8.50%
Bastad: Mona Barthel vs Lola Radivojevic Total Sets: O/U 2.50%
Bastad: Mona Barthel vs Lola Radivojevic Match O/U 21.50%
Bastad: Mona Barthel vs Lola Radivojevic Set 2 O/U 9.50%
Bastad: Mona Barthel vs Lola Radivojevic Set Handicap +/-1.50%
Bastad: Mona Barthel vs Lola Radivojevic Match O/U 22.50%
Bastad: Mona Barthel vs Lola Radivojevic Set 2 O/U 10.50%
Bastad: Mona Barthel vs Lola Radivojevic Set 1 O/U 10.50%
Bastad: Mona Barthel vs Lola Radivojevic Match O/U 23.50%

Market context

The tennis match between Mona Barthel and Lola Radivojevic at the Nordea Open in Båstad, Sweden, was originally scheduled for 4:00 AM ET on 6 July 2026 but has been pushed to 12:05 local time on 7 July 2026, with the crowd-implied probability for Barthel advancing sitting at 0% YES. This contract trades on Polymarket using USDC on the Polygon network, where conditional tokens reflect the stark on-chain pricing that Barthel is virtually certain not to win this encounter.

Historical head-to-head data frames this near-zero probability with brutal clarity: Lola Radivojevic holds a perfect 2–0 record against Barthel, having won 100% of their sets with a 4–1 set advantage, while Barthel’s recent five-match record shows only a 20% win rate against Radivojevic [1][9]. Comparable cases in women’s clay-court tournaments where a younger player dominates an older opponent’s head-to-head record consistently produce conditional token prices that mirror this 0% market sentiment, as the on-chain mechanics punish any late entry betting on the underperforming veteran.

Traders must monitor the official WTA 125K tournament schedule for any further delays or cancellations, as the market resolves to a 50–50 split if the match is not played or delayed beyond seven days without a winner [3]. The immediate catalyst is the confirmed start time of 12:05 local time on 7 July, with no recent injury announcements altering the dynamic, though the $115,000 prize pool and previous winner Elisabetta Cocciaretto’s presence add context to the competitive intensity [3]. Any deviation from the scheduled start time or a withdrawal by either player would trigger the conditional token settlement rules, making real-time score updates on platforms like Sofascore essential for verifying the match’s completion [5].

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.

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.
What's the difference between YES and NO shares?
A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
How fast are USDC deposits?
Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
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.
and

Trade Bastad: Mona Barthel vs Lola Radivojevic on PolyGram

Live order book, 0% fees, USDC settlement in seconds.

Open live market →

Related Topics

Tennis Prediction Markets