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National Bank Open: Maja Chwalinska vs Talia Gibson

Five-platform snapshot of "National Bank Open: Maja Chwalinska vs Talia Gibson" — live Polymarket pricing, plus how Kalshi, Betfair and Manifold structure the same contract.

Completed Match 100% National Bank Open: Maja Chwalinska vs Talia Gibson Set Handicap +/-1.5 100% National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 O/U 8.5 100% National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 O/U 9.5 100% Volume: $302K Closes: 11 Aug 2026
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National Bank Open: Maja Chwalinska vs Talia Gibson

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Completed Match100%
National Bank Open: Maja Chwalinska vs Talia Gibson Set Handicap +/-1.5100%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 O/U 8.5100%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 O/U 9.5100%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 O/U 10.5100%
National Bank Open: Maja Chwalinska vs Talia Gibson0%
National Bank Open: Maja Chwalinska vs Talia Gibson Total Sets: O/U 2.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Match O/U 21.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 2 O/U 8.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 1 Winner0%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 2 Winner0%
National Bank Open: Maja Chwalinska vs Talia Gibson Match O/U 22.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 2 O/U 9.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Set 2 O/U 10.50%
National Bank Open: Maja Chwalinska vs Talia Gibson Match O/U 23.50%

Market context

Maja Chwalinska v Talia Gibson at the National Bank Open is a matchup where the listed prediction market price of **0% YES** is far below what a straight tennis profile would normally imply. Chwalinska has a stronger published body of results, including a career-high WTA ranking around No.121, three WTA 125 titles, and a 2026 season that the WTA profile lists as containing a title in Oeiras, while her career records across third-party stat sites sit comfortably above .500.[1][2][3][9][13]

That makes the crowd price look like an extreme outlier rather than a consensus view, especially since the same player’s recent form indicators are mixed but not absent: Tennis Ratio lists a 5-5 record over her last ten matches and a 30-22 mark over the past 52 weeks, while Steve G Tennis shows solid hold and break numbers on the lower tiers.[4][13] In comparable WTA match markets, a player with this sort of résumé would usually trade as at least a live underdog, so a zero-implied line suggests either missing information, a venue/status issue, or a market that has not yet updated to reflect the actual draw state.[1][4]

For traders, the key catalysts are confirmation that the match is still on the schedule, the order-of-play announcement, and any official draw or withdrawal updates from the tournament, because this contract settles on advancement rather than merely an entry listing. The market also has an explicit 50-50 backstop if the match is not played, ends level, or is delayed beyond seven days without a winner, so any late cancellation or rescheduling matters as much as on-court form.[6][12] If books post a side price, the main comparison point will be whether they treat Chwalinska as the better-ranked player on paper or whether Gibson’s likely opportunity rate in the actual draw is closer to the market’s current zero reading.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page reviews National Bank Open: Maja Chwalinska vs Talia Gibson across five venues. The live probability is the Polymarket mid-price, sourced directly from the on-chain Polygon order book; the comparison columns benchmark each venue on fee structure, KYC, settlement currency and payment rails. Every CTA routes to Best Prediction Markets UK, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.

On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.

FAQ

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.
What does Polymarket cost to trade?
Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.
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.
Do I need to KYC for this market?
On Polymarket directly, no — it's wallet-based. Intermediary brokers like Best Prediction Markets UK trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
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Related Topics

Tennis Prediction Markets