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Zug: Harold Mayot vs Mika Brunold

Cross-platform snapshot for "Zug: Harold Mayot vs Mika Brunold": deepest order book, lowest fee, geo-coverage at a glance.

Zug: Harold Mayot vs Mika Brunold 100% Completed Match 100% Zug: Harold Mayot vs Mika Brunold Set 2 Winner 100% Zug: Harold Mayot vs Mika Brunold Set 1 O/U 8.5 100% Volume: $250K Closes: 30 Jul 2026
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Zug: Harold Mayot vs Mika Brunold

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Zug: Harold Mayot vs Mika Brunold100%
Completed Match100%
Zug: Harold Mayot vs Mika Brunold Set 2 Winner100%
Zug: Harold Mayot vs Mika Brunold Set 1 O/U 8.5100%
Zug: Harold Mayot vs Mika Brunold Set 2 O/U 8.5100%
Zug: Harold Mayot vs Mika Brunold Set 1 Winner100%
Zug: Harold Mayot vs Mika Brunold Set Handicap +/-1.5100%
Zug: Harold Mayot vs Mika Brunold Set 1 O/U 9.5100%
Zug: Harold Mayot vs Mika Brunold Total Sets: O/U 2.50%
Zug: Harold Mayot vs Mika Brunold Match O/U 21.50%
Zug: Harold Mayot vs Mika Brunold Set 2 O/U 9.50%
Zug: Harold Mayot vs Mika Brunold Set Handicap +/-1.50%
Zug: Harold Mayot vs Mika Brunold Match O/U 22.50%
Zug: Harold Mayot vs Mika Brunold Set 2 O/U 10.50%
Zug: Harold Mayot vs Mika Brunold Set 1 O/U 10.50%
Zug: Harold Mayot vs Mika Brunold Match O/U 23.50%

Market context

Harold Mayot and Mika Brunold are scheduled to meet in Zug, and the market is currently pricing a **100% YES** outcome, which usually means the contract is being treated as effectively decided unless the fixture is withdrawn or voided. In platform terms, Polymarket would present that as an implied probability, while Betfair and Smarkets would typically show it through decimal odds, making very short-priced favourites look different even when the economics are similar. For comparison, Smarkets’ commission model and Betfair’s exchange commission can make near-certain outcomes less attractive after fees, whereas prediction markets often display the headline probability more directly.

For a player-specific tennis market like this, the key historical frame is that almost all the action is in whether the match is actually completed on the scheduled date, rather than in the raw tennis edge. In comparable ATP Challenger and ITF-style markets, late withdrawals, walkovers, and weather interruptions are the main reasons a near-certain price can still resolve away from the obvious sporting result. That matters here because the contract resolves 50-50 if the match is not played, tied, or delayed beyond seven days, so the distinction between “listed” and “actually played” is more important than usual.

The main catalysts are the official order of play, player availability, and any same-day updates from the tournament desk or the governing tour’s draw/schedule feed. If there is a late injury report, a court-change announcement, or a walkover before first serve, the market can move sharply even without any change in tennis ability. KYC also differs by venue: Polymarket access is not as broad as Betfair or Smarkets in many jurisdictions, while those exchanges generally require full identity verification and apply local restrictions, which affects who can trade the price and how quickly it reflects late information.

Methodology

We read Zug: Harold Mayot vs Mika Brunold from four platform perspectives: Polymarket (on-chain CLOB), Kalshi (CFTC-regulated exchange), Betfair Exchange (sports book exchange), Smarkets (peer-to-peer betting exchange). Polymarket's live mid is the canonical probability; the side-by-side columns benchmark fees, KYC, settlement currency and deposit rails so you can choose the venue that fits your jurisdiction and trade size.

Resolution & payout

Polymarket settles via UMA Optimistic Oracle on Polygon. A proposer posts the outcome with a bond, the two-hour window runs, then the smart contract pays USDC.

Kalshi settles USD through the CFTC-regulated clearinghouse — the cleanest variant, with heavier KYC. Betfair Exchange settles in account currency (GBP/EUR), net of 2-5% commission. Smarkets follows the same model as Betfair with a lower default 2% commission.

FAQ

Polymarket vs Kalshi — which is better?
Depends on your location. Kalshi is CFTC-regulated, US-only with full KYC. Polymarket is global, on-chain, no KYC up to $1,500. Polymarket has ~10x higher liquidity but higher regulatory risk.
What does Polymarket cost vs Kalshi?
Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
Which platform has the deepest liquidity?
Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
Is Betfair a Polymarket alternative?
Only partially. Betfair Exchange is UK-focused with a sports-betting emphasis; they have politics markets but with thinner liquidity than Polymarket. Settlement in GBP/EUR, 2-5% commission on winnings.
Are all these platforms regulated?
No. Kalshi is CFTC-regulated (US). Betfair and Smarkets are UK Gambling Commission licensed. Polymarket operates without explicit regulation — a different risk profile than a regulated sportsbook.
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Related Topics

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