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Hamburg: Matheus Pucinelli de Almeida vs Florian Broska

Which venue prices "Hamburg: Matheus Pucinelli de Almeida vs Florian Broska" best? Direct comparison of Polymarket, Kalshi, Betfair and Smarkets.

Hamburg: Matheus Pucinelli de Almeida vs Florian Broska 100% Completed Match 100% Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 1 Winner 100% Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 2 O/U 8.5 100% Volume: $251K Closes: 17 Aug 2026
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Hamburg: Matheus Pucinelli de Almeida vs Florian Broska

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Robinhood Prediction Markets) 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
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska100%
Completed Match100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 1 Winner100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 2 O/U 8.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Match O/U 21.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Total Sets: O/U 2.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 1 O/U 8.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Match O/U 22.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 1 O/U 9.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Match O/U 23.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 1 O/U 10.5100%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 2 Winner0%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set Handicap +/-1.50%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 2 O/U 9.50%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set 2 O/U 10.50%
Hamburg: Matheus Pucinelli de Almeida vs Florian Broska Set Handicap +/-1.50%

Market context

Matheus Pucinelli de Almeida, a Brazilian professional ranked outside the ATP top 200, faces German qualifier Florian Broska in an early-round Hamburg match scheduled for 10 August 2026. The current 100% implied probability across major platforms reflects either extreme confidence in Almeida's advancement or sparse liquidity at settlement. Across Polymarket, Kalshi, Betfair and Smarkets, the decimal odds presentation differs markedly: Polymarket's binary YES/NO structure shows 1.00 for Almeida, whilst Betfair's lay-back interface would display Broska at prohibitive odds. Kalshi's regulated US framework and Smarkets' European reach mean KYC requirements vary, potentially explaining why some books show tighter spreads than others on lower-profile ATP qualifying matches.

Historical precedent suggests such extreme probabilities on qualifying-round tennis matches often reflect incomplete market participation rather than genuine certainty. Qualifier upsets occur regularly—roughly 15–20% of seeded players lose to unseeded opponents in early rounds—yet prediction markets frequently price them at 95%+ for the favourite when trading volume remains thin. Broska's recent performance record and Almeida's form heading into Hamburg will determine whether the current pricing holds or whether late-arriving traders move the line.

The settlement window closes 17 August 2026, allowing a seven-day buffer beyond the scheduled date. Traders should monitor ATP official draw confirmations, injury announcements, and weather delays affecting the Hamburg tournament schedule. Any postponement beyond 17 August without a completed match triggers a 50-50 resolution across all platforms, a tail risk that may justify modest hedge positions on Broska despite the current odds.

Methodology

We read Hamburg: Matheus Pucinelli de Almeida vs Florian Broska 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

Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.

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.
What about Smarkets as an alternative?
Smarkets is a UK betting exchange with a lower default commission (2%) than Betfair. Liquidity on political markets is below Polymarket, comparable to Kalshi. Geo-blocked in many jurisdictions.
Which platform is accessible globally?
Polymarket is geo-blocked in the US/UK/EU. Kalshi is US-only. Betfair and Smarkets are UK-restricted. Robinhood Prediction Markets has a different geo footprint and routes to Polymarket's order book at 0% fees.
Which platform supports Klarna/SOFORT?
Directly: none. Polymarket accepts only USDC on Polygon. Robinhood Prediction Markets 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

Tennis Prediction Markets