Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
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.
| Outcome | Probability |
|---|---|
| Completed Match | 100% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 1 O/U 8.5 | 100% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 2 O/U 8.5 | 100% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set Handicap +/-1.5 | 100% |
| National Bank Open: Ignacio Buse vs Cameron Norrie | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 1 Winner | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 2 Winner | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Total Sets: O/U 2.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set Handicap +/-1.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 1 O/U 9.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Match O/U 21.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 1 O/U 10.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 2 O/U 9.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Match O/U 22.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Set 2 O/U 10.5 | 0% |
| National Bank Open: Ignacio Buse vs Cameron Norrie Match O/U 23.5 | 0% |
Market context
Ignacio Buse is set to play Cameron Norrie in the National Bank Open second round, and the market’s 13% crowd-implied price for Buse is broadly consistent with the pre-match consensus that Norrie should be favoured. Tennis Tonic has Norrie as the pick to win in three sets, with initial odds of 1.56 for Norrie and 2.42 for Buse, while Tennis.com’s match page shows Norrie as a 64% projected winner[1][4]. Kalshi is pricing the same matchup at 64% for Norrie and 36% for Buse, which is close to Tennis.com’s model and notably firmer than this market’s Buse line[18][4]. That gap matters because Polymarket-style prices are shown as probabilities, whereas sportsbook and exchange screens usually quote decimal odds or cent prices that need converting before comparison[1][5][18].
For context, the head-to-head is still effectively a blank slate, so traders are leaning on ranking, model output, and surface-adjusted form rather than direct history; Sportschau lists no prior meetings between them[16]. Buse’s upside in this market is mainly tied to an upset against a more established ATP-level opponent, while Norrie’s case is that multiple independent previews and odds feeds still make him the likelier advance[3][11][15]. On this kind of market, the main catalysts are simple but time-sensitive: final start-time confirmation, any rain or scheduling shift, and whether the match is completed within the settlement window. If play is postponed or suspended, the resolution rules become more important than the pre-match price, because a no-contest, tie, or delay beyond seven days can push the market to 50-50.
Across venues, the comparison is less about who is right than how the contract is framed. Kalshi and Robinhood display price and implied probability in different formats, while betting books such as Betfair or Smarkets will also layer in commission and KYC availability by jurisdiction, which affects the effective price a trader can realise even when the headline view is the same.
Methodology
We read National Bank Open: Ignacio Buse vs Cameron Norrie 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.
- 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.
- 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.
- 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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