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 |
|---|---|
| National Bank Open: Ann Li vs Kayla Cross | 100% |
| Completed Match | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 1 Winner | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 1 O/U 8.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 2 O/U 8.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 2 Winner | 100% |
| National Bank Open: Ann Li vs Kayla Cross Match O/U 21.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set Handicap +/-1.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 1 O/U 9.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Set 1 O/U 10.5 | 100% |
| National Bank Open: Ann Li vs Kayla Cross Total Sets: O/U 2.5 | 0% |
| National Bank Open: Ann Li vs Kayla Cross Set 2 O/U 9.5 | 0% |
| National Bank Open: Ann Li vs Kayla Cross Match O/U 22.5 | 0% |
| National Bank Open: Ann Li vs Kayla Cross Set 2 O/U 10.5 | 0% |
| National Bank Open: Ann Li vs Kayla Cross Match O/U 23.5 | 0% |
Market context
Ann Li’s second-round match with Kayla Cross at the National Bank Open sits in the usual WTA 1000 favourite-versus-wildcard pattern, which is why a 100% crowd-implied Yes price for Li is far stronger than most pre-match probabilities you see on open tennis books. The underlying rankings point the same way: Tennis.com lists Li at No. 31 and Cross at No. 172, while Tennis Temple shows Li around No. 31 and Cross around No. 177, with Li also projected as the winner. [1][2] Cross, however, is not a routine first-round casualty: she has already beaten Katie Boulter in Toronto, taking her first tour-level win and first WTA 1000 main-draw victory, which gives this match more live upset interest than the raw rankings imply. [6][12]
On comparable markets, Polymarket and Kalshi usually trade in direct yes/no probabilities, while Betfair and Smarkets quote decimal odds that need converting into implied probability before comparison; that matters here because an already-priced 100% outcome on a prediction venue can still correspond to slightly different liquidities and effective margins on exchange-style books. Cross’s home crowd and left-handed profile are the main match-level variables, but Ann Li’s seeding and higher ranking have kept previews on the same side: most published match notes still frame Li as the likely winner in straight sets. [5][7][11] The head-to-head is empty, so there is no prior match-up data to challenge the baseline read. [3]
For catalysts, the key watchpoint is whether the scheduled 5 August start in Toronto proceeds as expected, because a no-contest, full postponement beyond seven days, or cancellation would push the market to its fallback resolution rather than a player win. Live event feeds already show the match listed as upcoming at Sobeys Stadium, with Li versus Cross attached to the Toronto draw and start time around 15:00 UTC. [2][4][9] On platform comparison, exchanges with broader reach and stricter KYC, such as Betfair or Smarkets, can diverge from crypto-native prediction venues in who can enter late and how quickly prices adjust around official scheduling updates, which is the main thing to monitor if the match is delayed or reslated.
Methodology
We read National Bank Open: Ann Li vs Kayla Cross 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
- 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.
- 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.
- 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.
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