Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Polymarket Bot UK) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Place a position → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Place a position → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Place a position → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Place a position → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Place a position → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Completed Match | 100% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 2 O/U 8.5 | 100% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set Handicap +/-1.5 | 100% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 1 O/U 8.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 1 Winner | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Total Sets: O/U 2.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set Handicap +/-1.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Match O/U 21.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 2 Winner | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 1 O/U 9.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 2 O/U 9.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 1 O/U 10.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Match O/U 22.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Set 2 O/U 10.5 | 0% |
| Zug: Norbert Gombos vs Dominic Stephan Stricker Match O/U 23.5 | 0% |
Market context
Norbert Gombos and Dominic Stephan Stricker are due to meet in a Zug Challenger match, with the market currently pricing a **0% YES** outcome despite preview models still leaning to Stricker as the likelier winner. That gap matters for a programme trader: a zero-implied price can reflect stale liquidity, a suspended book, or a market that has already priced in non-completion risk, so the first check is whether the event is still live rather than assuming a true no-hoper line. Independent previews published on match day make Stricker the clear favourite, with one model giving him about 71% and another bookmaker-style preview calling him the pick to win in three sets.[1][2]
For comparable cases, the key framing is that tennis markets can swing sharply on surface fit, late injury news, or whether a lower-ranked player is actually scheduled to take the court; that is especially relevant in Challenger-level events where withdrawals and walkovers are more common than in tour-level slams. Stricker’s edge in the public previews is consistent with a modest rating advantage in one live-metrics feed and stronger recent form, but the presence of a 0% crowd price means a bot should treat the market as a settlement problem as much as a forecasting one.[3] Programmatically, the useful approach is to watch for whether the fixture remains on the order of play and whether any retirement, walkover, or postponement pushes it inside the market’s 7-day resolution window.
The main catalysts are straightforward: final draw updates, official start-time changes, and any player withdrawal announcement from the tournament feed or match-day scoreboard. If the match is delayed, the market terms matter more than the pre-match odds, because a cancellation, tie, or delay beyond seven days resolves 50-50 regardless of form.[1][2] For automation, the cleanest trigger set is: confirm the match has started, verify the opponent pair exactly as listed, then monitor completion status rather than price drift alone.
Methodology
We track Zug: Norbert Gombos vs Dominic Stephan Stricker across the five venues with material prediction-market liquidity. The probability shown is the live Polymarket mid; the comparison rows summarise how each venue treats the underlying contract — fees, KYC thresholds, settlement currency, deposit options. The highlighted row marks the cheapest route into Polymarket's order book.
Resolution & payout
Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.
Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.
FAQ
- Where can I trade this market with the lowest fees?
- Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Polymarket Bot UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- What's the difference between YES and NO shares?
- A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
- 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.
- How reliable are the quoted odds?
- The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
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