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Liberec: Jan Kumstat vs Gonzalo Bueno

On-chain snapshot for "Liberec: Jan Kumstat vs Gonzalo Bueno" — live Polygon order book, USDC settlement, platform comparison.

Liberec: Jan Kumstat vs Gonzalo Bueno Set 1 Winner 62% Liberec: Jan Kumstat vs Gonzalo Bueno 57% Completed Match 50% Liberec: Jan Kumstat vs Gonzalo Bueno Set 2 Winner 50% Volume: $84K Liquidity: $300K Closes: 9 Aug 2026
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Liberec: Jan Kumstat vs Gonzalo Bueno

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via BTC Prediction) Pick
polygram.ink (preferred broker)
62% 38% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Open live market →
Polymarket (direct)
polymarket.com
62% 38% 0% Geo-blocked in US/UK/EU USDC, on-chain Open live market →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Open live market →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Open live market →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Open live market →

Outcome probabilities

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

OutcomeProbability
Liberec: Jan Kumstat vs Gonzalo Bueno Set 1 Winner62%
Liberec: Jan Kumstat vs Gonzalo Bueno57%
Completed Match50%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 2 Winner50%
Liberec: Jan Kumstat vs Gonzalo Bueno Total Sets: O/U 2.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Match O/U 21.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 1 O/U 8.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set Handicap +/-1.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 2 O/U 8.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set Handicap +/-1.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 1 O/U 9.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 2 O/U 9.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 1 O/U 10.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Set 2 O/U 10.550%
Liberec: Jan Kumstat vs Gonzalo Bueno Match O/U 22.549%
Liberec: Jan Kumstat vs Gonzalo Bueno Match O/U 23.544%

Market context

Jan Kumstat and Gonzalo Bueno are scheduled to meet in the Liberec Challenger final, with the market set to resolve on whether Kumstat advances against a higher-ranked opponent. Current crowd pricing at 65% YES implies traders slightly favour Kumstat, despite most external tennis models and bookmakers leaning the other way: TennisTemple shows Bueno around 82.5% in its live projection, Tennis.com gives Kumstat 54% and Bueno 46%, and BetUS lists Bueno as a small moneyline favourite[2][8][11]. That gap matters in prediction markets, where price often reflects the balance between ranking, recent form and the possibility of a local wildcard outperforming expectation.

The historical frame is straightforward: this is a first meeting, so there is no head-to-head record to anchor the price, and Bueno arrives with the stronger ATP ranking by a wide margin, around No. 160 versus Kumstat near No. 508 in live listings[2][7]. On clay, where Liberec is played, Bueno’s broader tour results and ranking advantage usually point to a more established level, while Kumstat’s appeal is mainly the upside of home conditions and final-round volatility[1][3]. In on-chain settlement terms, the market pays out in USDC only if the match result is clear before the 7-day delay trigger; otherwise it falls back to a 50-50 outcome.

Traders should watch the actual start time, court status and any late tournament scheduling change, because the market is tied to whether this final is completed rather than simply listed on the draw[1][3]. Live score services were already carrying the match as a final on Svijany Court, so any postponement, walkover or retirement will drive the settlement logic more than pre-match opinion[3][4][7]. For broader crypto context, USDC-denominated resolution means the main external variable is not BTC or ETH direction, but market liquidity and whether the match proceeds within the settlement window; if the contest slips beyond seven days, the contract stops tracking tennis and reverts to an even split.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page reads Liberec: Jan Kumstat vs Gonzalo Bueno on-chain. Polymarket's quote comes directly from the Polygon order book — the only comparable venue with on-chain settlement. Kalshi (USD, off-chain), Betfair (GBP/EUR, off-chain) and Manifold (play-money) are listed alongside for venue context. Every CTA routes to BTC Prediction, which mirrors the Polymarket order book directly.

Resolution & payout

Settlement is on-chain via UMA Optimistic Oracle. A proposer posts the outcome with a bond, a two-hour dispute window opens, then the smart contract lifts winning conditional tokens to 1 USDC and sends payments to holders' wallets automatically. No withdrawal fees beyond Polygon gas.

Off-chain venues (Kalshi, Betfair, Smarkets) settle in local fiat through bank-side clearing — faster than SWIFT, slower than on-chain. Manifold pays no real cash.

FAQ

Why USDC and not ETH or USDT?
USDC is the Polygon standard — audited reserves (Circle, monthly attestation), deepest order book, low gas costs. ETH volatility would distort probability quotes; USDT has thinner Polygon liquidity than USDC.
What does a transaction cost on Polygon?
Polygon gas is typically under $0.01 per transaction. A full trade cycle (Approve + Order + Fill) totals around $0.03 — compared to $5-50 on Ethereum mainnet.
Can I use Bitcoin directly?
No, Polymarket operates exclusively in USDC on Polygon. You can bridge BTC to USDC via an exchange or bridge service and deposit on Polygon — typically 10-30 minutes processing time.
How volatile are crypto prediction markets?
Crypto markets react to spot prices — a 5% BTC move typically shifts a "BTC above X by date" market 10-20%. Polymarket crypto market liquidity is usually six-figure USD, sufficient for active trading.
Are crypto prediction markets taxable in the US?
In the US, prediction market gains are typically treated as ordinary income or short-term capital gains depending on holding period. Consult a tax professional for your specific situation — we cannot provide tax advice.
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Related Topics

Tennis Prediction Markets