Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Alternative) 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 |
|---|---|
| Completed Match | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Total Sets: O/U 2.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 1 Winner | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Match O/U 21.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 2 O/U 8.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 1 O/U 8.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Match O/U 22.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 1 O/U 9.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Match O/U 23.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 1 O/U 10.5 | 100% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse | 0% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 2 Winner | 0% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set Handicap +/-1.5 | 0% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 2 O/U 9.5 | 0% |
| ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse Set 2 O/U 10.5 | 0% |
Market context
Sam Ryan Ziegann is scheduled to play Thanaphat Boosarawongse in an ITF Men’s Bali match, but the market is already pricing a **0% YES** outcome, which usually signals either a stale, misparsed, or effectively dead listing rather than a live disagreement on the tennis itself. On platforms that show **implied probability** such as Polymarket-style markets, that reads directly as near-certain no; on **decimal-odds** books such as Betfair or Smarkets, the same situation would usually appear as an extreme price on the opposite side, with the displayed price reflecting both margin and liquidity rather than a pure probability. KYC access also matters: Kalshi and regulated exchanges can be more restrictive by jurisdiction than open crypto-native venues, so the visible price may reflect who can participate as much as the match outlook.
For context, ITF-level matches often suffer from sparse pre-match information, late court-order changes, and occasional withdrawals or walkovers, so very low probabilities can be driven by incomplete scheduling rather than a firm signal about player strength. In practice, the key comparison across venues is whether the event is still listed as active: if the match is removed, delayed, or ends without a winner, settlement rules usually move away from a clean binary result and towards a push-like outcome. That matters here because the market description already contemplates a 50-50 settlement if the match is not completed in time, which can make a near-zero live price less informative than on a major-tour match with better coverage.
The main catalysts are the official order of play, any ITF or tournament-site draw updates, and whether either player appears on the day’s live scoring board or withdrawals list. If the match is confirmed and starts on schedule, the 0% YES reading becomes harder to interpret as mere admin noise; if it is postponed or scratched, the settlement mechanics become the dominant factor. Traders comparing Polymarket, Kalshi, Betfair, and Smarkets should watch not just the headline number but also whether each venue has updated the fixture, because fee structure, market-making depth, and KYC reach can leave one venue pricing a stale event while another has already moved on.
Methodology
This page compares ITF Bali: Sam Ryan Ziegann vs Thanaphat Boosarawongse specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. The live probability is the Polymarket mid; the comparison columns summarise each venue's fee structure, KYC, settlement currency and payment rails. Every CTA routes to Kalshi Alternative, which mirrors the Polymarket order book at 0% fees.
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.
- 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.
- Which platform supports Klarna/SOFORT?
- Directly: none. Polymarket accepts only USDC on Polygon. Kalshi 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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