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Bonn: Jamie Mackenzie vs Max Dahlin

Polymarket vs Kalshi vs Betfair vs Smarkets for "Bonn: Jamie Mackenzie vs Max Dahlin" — live odds, fees and KYC side-by-side.

Bonn: Jamie Mackenzie vs Max Dahlin 100% Completed Match 100% Bonn: Jamie Mackenzie vs Max Dahlin Total Sets: O/U 2.5 100% Bonn: Jamie Mackenzie vs Max Dahlin Set 2 O/U 8.5 100% Volume: $177K Closes: 8 Aug 2026
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Bonn: Jamie Mackenzie vs Max Dahlin

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Polymarket Alternative) 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
Bonn: Jamie Mackenzie vs Max Dahlin100%
Completed Match100%
Bonn: Jamie Mackenzie vs Max Dahlin Total Sets: O/U 2.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 2 O/U 8.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 1 O/U 8.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Match O/U 21.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 1 Winner100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 2 O/U 9.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 1 O/U 9.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Match O/U 22.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 2 O/U 10.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Match O/U 23.5100%
Bonn: Jamie Mackenzie vs Max Dahlin Set 2 Winner0%
Bonn: Jamie Mackenzie vs Max Dahlin Set Handicap +/-1.50%
Bonn: Jamie Mackenzie vs Max Dahlin Set Handicap +/-1.50%
Bonn: Jamie Mackenzie vs Max Dahlin Set 1 O/U 10.50%

Market context

The Bonn match between **Jamie Mackenzie and Max Dahlin** is being priced like a near-certainty, with the market at **100% YES** on the Jamie side. That makes the main question less about basic winner selection and more about whether the fixture is actually played as scheduled, because a no-contest, cancellation, or delay beyond the seven-day settlement window would flip the market into the fallback 50-50 outcome rather than a normal win/loss resolution.

Mackenzie’s public record points to a very light professional résumé but with some recent upward movement: ATP and other tracking pages put his career-high singles ranking around the low 900s, with no main-tour titles and limited tour-level results.[1][4][15] In comparable low-tier tennis markets, crowd prices often overstate certainty when one player has a clearer ranking footprint, but that can be misleading when both players sit outside the top tier and the decisive factor is often simply who turns up, rather than a stable edge built on deep form data.[2][9][15] On platform framing, Polymarket-style pricing is shown as implied probability, while Betfair, Smarkets, and similar books quote decimal odds that can move differently because commission and back/lay spreads are embedded in the price rather than displayed separately; that makes a “100%” crowd read less directly comparable across venues than a raw odds line.

The key catalysts are administrative, not tactical: whether the Bonn draw is confirmed, whether the match remains on the published schedule, and whether either player withdraws or is moved to another court session. ATP and tournament listings show Mackenzie as an active entrant with recent activity, but low-level events can still change late through walkovers or rescheduling, which matters more here than a conventional form angle.[3][15] For traders comparing venues, KYC also matters: Polymarket access is typically crypto-native, while Kalshi is US-regulated and more KYC-heavy, and Betfair/Smarkets availability depends on jurisdiction, so the same tennis fixture can attract different liquidity and price discovery across platforms even before fees are considered.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page compares Bonn: Jamie Mackenzie vs Max Dahlin specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. The live probability is the Polymarket mid; the comparison columns summarise each venue's fee structure, KYC, settlement currency and payment rails. Every CTA routes to Polymarket Alternative, which mirrors the Polymarket order book at 0% fees.

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

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.
Which platform is accessible globally?
Polymarket is geo-blocked in the US/UK/EU. Kalshi is US-only. Betfair and Smarkets are UK-restricted. Polymarket Alternative has a different geo footprint and routes to Polymarket's order book at 0% fees.
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.
Which platform supports Klarna/SOFORT?
Directly: none. Polymarket accepts only USDC on Polygon. Polymarket Alternative offers a fiat on-ramp via Klarna or SOFORT (DE/AT/CH) and converts internally to USDC for the Polymarket order book. T+1 processing.
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Related Topics

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