Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Who Will Win Pick polygram.ink |
0% | 100% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Open on Who Will Win → |
Polymarket polymarket.com |
0% | 100% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Open on Who Will Win → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Open on Who Will Win → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Open on Who Will Win → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Open on Who Will Win → |
Live odds for Polymarket-based markets come from the Polygon order book. Non-Polymarket venues show attributes only; clicking any row opens the market on Who Will Win.
Active sub-markets
| Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya | 0% Sinja Kraus | 100% Anna Kalinskaya |
| Completed Match | 100% YES | 0% NO |
| Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya Match O/U 21.5 | 0% Over | 100% Under |
| Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya Match O/U 22.5 | 0% Over | 100% Under |
| Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya Match O/U 23.5 | 0% Over | 100% Under |
| Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya Set 1 O/U 8.5 | 100% Over | 0% Under |
Market context
Sinja Kraus against Anna Kalinskaya is priced as a clear Kalinskaya lean, with Tennis.com projecting the Russian as a **66%** winner and Tennis Tonic’s opening odds implying roughly **72%** for Kalinskaya at 1.38 versus 3.04 for Kraus.[2][1] That is far away from the market’s **0% YES** crowd-implied price on Kraus, so the consensus sits firmly with the favourite and the only obvious value angle is on the underdog if a trader thinks the gap is overstated. In handicap terms, Kalinskaya is the side the market expects to advance, while Kraus is the contrarian price.
The historical frame is straightforward: this is a first career meeting, so there is no direct head-to-head to lean on, and the market is instead reading off ranking level, surface profile and recent grass form.[1][4] Tennis Temple described Kraus as a qualifier and noted a recent two-match grass winning streak, while Kalinskaya is listed there as world No. 20, which helps explain why the consensus still sits with the higher-ranked player.[4] In cases like this, first-round WTA markets on grass often skew to the established tour player unless the underdog has a strong recent surface edge, which is the main reason Kraus would be the only realistic value side at a very low crowd price.
For traders, the main catalysts are whether the match is actually played on schedule and whether either player’s path is altered by weather, court delays or withdrawals elsewhere in the draw. The tournament schedule shows the event began on 20 June, and the WTA and match listings both carry Kraus v Kalinskaya as an upcoming Round 1 meeting, so any late change to order of play would matter for settlement timing.[3][6][2] ESPN’s live scoreboard also had the fixture listed for 22 June, reinforcing that the key dependency is simple: if the match is delayed beyond the market’s seven-day window or never gets underway, resolution shifts away from a straight win result.[7]
Methodology
We track Bad Homburg Open: Sinja Kraus vs Anna Kalinskaya on the five venues with material liquidity for prediction markets. Live odds come from the Polymarket Polygon order book — the only source that ships real-time data under an open licence. For Kalshi, Betfair and Manifold we list platform attributes (fee, KYC, settlement, payment) instead of fabricated odds, because their APIs use non-comparable contract definitions.
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?
- On Who Will Win, which mirrors the Polymarket order book at 0% fees. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- Is this market available outside the US?
- Who Will Win is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.
- What does it cost to trade on Who Will Win?
- Zero. Who Will Win routes every order to the live Polymarket order book; the only cost is the Polygon network fee, typically under $0.01 per transaction.
- Do I need to KYC for this market?
- Not under $1,500 of lifetime trading volume. Above that threshold, Who Will Win triggers a quick verification flow that finishes in 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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