Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
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.
| Outcome | Probability |
|---|---|
| Bonn: Jamie Mackenzie vs Jurij Rodionov | 100% |
| Completed Match | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 2 Winner | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 1 Winner | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 1 O/U 8.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set Handicap +/-1.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 2 O/U 8.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Match O/U 21.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 1 O/U 9.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 2 O/U 9.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Match O/U 22.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 1 O/U 10.5 | 100% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Total Sets: O/U 2.5 | 0% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set Handicap +/-1.5 | 0% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Set 2 O/U 10.5 | 0% |
| Bonn: Jamie Mackenzie vs Jurij Rodionov Match O/U 23.5 | 0% |
Market context
Jamie Mackenzie’s match with Jurij Rodionov in Bonn has been priced as a clear Rodionov lean across pre-match tennis books, which helps explain why the prediction market is sitting at **100% YES** on Rodionov. Tennis Explorer shows average outright odds of 1.47 for Rodionov and 2.68 for Mackenzie, while Tennis Temple’s aggregated prices are even shorter for Rodionov at around 1.28 against 3.45 for Mackenzie. Those numbers translate to a strong favourite in decimal-odds terms, but on Polymarket-style markets the same view appears as an implied probability, so the display is easier to read but not directly comparable to quoted sportsbook prices.
Historical framing also points one way: Rodionov is the established tour-level player, listed around ATP No. 136 in Tennis Temple’s match data, while Mackenzie is shown as a wildcard around ATP No. 931. In that context, markets have tended to treat this as a mismatch unless there is a late fitness or schedule complication, and Tennis Tonic’s preview also backed Rodionov to win. The main platform difference is not the direction of opinion but how it is expressed: Betfair-style exchange prices can move quickly with liquidity and often show net price after commission, whereas Smarkets and many books quote slightly different effective returns because fees, margin, and regional access vary by venue and user verification.
For traders, the key catalyst is simply whether the match is actually completed before the settlement window closes on 2026-08-07. Live feeds from SofaScore and Flashscore indicate the game is already in progress, so the biggest risk is not pre-match mispricing but an interruption, retirement, or abandonment that changes how the market resolves. On Kalshi, KYC and jurisdiction determine access; on Betfair or Smarkets, available stake size and commission matter more once the match starts, because in-play repricing can be sharper than the pre-match implied probability shown on prediction markets.
Methodology
We read Bonn: Jamie Mackenzie vs Jurij Rodionov 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
- 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.
- 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. 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.
Trade Bonn: Jamie Mackenzie vs Jurij Rodionov on Robinhood Prediction Markets
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