Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Robinhood Prediction Markets) Pick polygram.ink (preferred broker) |
62% | 38% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Go to the live market → |
Polymarket (direct) polymarket.com |
62% | 38% | 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 |
|---|---|
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set Handicap +/-1.5 | 62% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 1 O/U 8.5 | 55% |
| Completed Match | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Match O/U 21.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 2 O/U 8.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Match O/U 22.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 2 O/U 9.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Match O/U 23.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 2 O/U 10.5 | 50% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 1 O/U 9.5 | 37% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 1 O/U 10.5 | 31% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Total Sets: O/U 2.5 | 26% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 1 Winner | 25% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set 2 Winner | 22% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova | 17% |
| Warsaw: Marcelina Podlinska vs Vendula Valdmannova Set Handicap +/-1.5 | 13% |
Market context
Marcelina Podlinska and Vendula Valdmannova are set to meet in Warsaw, with the market currently pricing Podlinska at a low **20%** chance. On public tennis listings, Valdmannova is the clear ranking favourite: one match page shows her around **WTA 193** versus Podlinska near **WTA 653**, which helps explain why the crowd is leaning heavily towards Valdmannova despite Podlinska being the named side in the market contract.[2][3]
The historical framing also points the same way. There is no recorded head-to-head between the pair on the main match listings, so traders are mainly reading the signal from recent form and level of competition rather than direct matchup history.[1][4] Podlinska’s season-long records on tennis databases show a much more modest win rate and a long run of ITF-level play, while Valdmannova’s recent results include wins over higher-quality opponents and a more compact route through recent events.[11][13][14] On Polymarket, the market is easiest to read as a binary probability; on Betfair or Smarkets, the same view would usually be expressed in decimal odds, with the effective price also shaped by commission and available liquidity.
The main catalysts are whether this match is actually played on schedule and whether either player is confirmed in the draw without late withdrawal or walkover risk. The listed start time has appeared consistently across tennis scoreboards, but Warsaw event pages can shift as the round progresses and as other ties finish.[2][3][4] For comparison across platforms, crowd probability on Polymarket can diverge from Betfair or Smarkets if one venue updates faster on scratches or schedule changes, while KYC access is broader on exchange-style books than on some crypto-native venues. Because the market rules settle to 50-50 if the match is not played or is delayed beyond seven days, any official order-of-play update, retirement, or postponement is more important here than a small change in pre-match price.
Methodology
We read Warsaw: Marcelina Podlinska vs Vendula Valdmannova 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
Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.
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.
- 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.
- 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.
- Which platform is accessible globally?
- Polymarket is geo-blocked in the US/UK/EU. Kalshi is US-only. Betfair and Smarkets are UK-restricted. Robinhood Prediction Markets 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.
Trade Warsaw: Marcelina Podlinska vs Vendula Valdmannova on Robinhood Prediction Markets
Live order book, 0% fees, USDC settlement in seconds.
Open live market →