Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) Pick polygram.ink (preferred broker) |
28% | 72% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
28% | 72% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Market context
Sri Lanka meet Pakistan in an ODI in Colombo with the market pricing Pakistan at 37% despite Sri Lanka’s stronger long-run record in the rivalry. Sri Lanka lead the women’s ODI head-to-head 22-11, but Pakistan have had some of the more recent high-value results, including a 143-run opening stand that set up a win in their previous ODI meeting in the 2025 cycle and a 12-run defence in Sharjah in the same broader period[5][9][2]. That combination matters for interpreting the current price: Sri Lanka’s overall edge is real, but Pakistan have shown they can win this matchup when their top order bats first and their seamers can defend a modest total[1][2].
The main catalysts are team news and availability, especially around Pakistan’s leadership and seam attack. Recent reporting on the broader Sri Lanka-Pakistan women’s tour noted a “new-look” Pakistan T20I squad in Sana’s absence, with multiple call-ups, while Sri Lanka recalled Vishmi Gunaratne and wicketkeeper Anushka Sanjeewani for the ODI leg[3]. Fatima Sana also missed the T20Is because of her Hundred commitment, underlining how player availability can shift between formats and tours[3]. For traders, the key checks are the final XI, any late workload management for all-rounders, and whether either side is rotating fast bowlers or altering the opening pair, because this fixture has tended to hinge on top-order stability and the ability to defend par rather than on one-sided dominance[1][8].
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $101K.
Methodology
Sports-specific comparison page for ODI Series Sri Lanka vs Pakistan, Women: Sri Lanka vs Pakistan. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi or Manifold.
Resolution & payout
Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- Can I bet on individual matches?
- Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
- What are live sports odds on Polymarket?
- Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
- How fast do sports winnings settle?
- Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
- What's the difference between match odds and outright odds?
- Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
- Can I import form data and lineups?
- This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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