Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Polymarket Review UK) Pick polygram.ink (preferred broker) |
51% | 49% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
51% | 49% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Trade this market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Trade this market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Trade this market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Trade this market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Spread -1.5 | 51% |
| Monique Billings: Points O/U 6.5 | 51% |
| Aliyah Boston: Points O/U 16.5 | 51% |
| O/U 165.5 | 51% |
| Aliyah Boston: Points O/U 15.5 | 50% |
| Aliyah Boston: Rebounds O/U 8.5 | 50% |
| Kelsey Mitchell: Points O/U 21.5 | 49% |
| Veronica Burton: Points O/U 11.5 | 49% |
| Spread -2.5 | 47% |
| O/U 166.5 | 47% |
| Golden State Valkyries vs. Indiana Fever | 46% |
| O/U 167.5 | 46% |
| O/U 168.5 | 45% |
| Spread -3.5 | 43% |
| O/U 169.5 | 42% |
| Monique Billings: Rebounds O/U 4.5 | 39% |
| Aliyah Boston: Assists O/U 2.5 | 36% |
| Caitlin Clark: Rebounds O/U 3.5 | 34% |
| Janelle Salaün: Rebounds O/U 3.5 | 33% |
| Kelsey Mitchell: Assists O/U 2.5 | 33% |
| Veronica Burton: Points O/U 12.5 | 31% |
| Caitlin Clark: Points O/U 15.5 | 30% |
| Caitlin Clark: Assists O/U 6.5 | 30% |
| Kelsey Mitchell: Points O/U 20.5 | 30% |
| Veronica Burton: Assists O/U 5.5 | 28% |
| Aliyah Boston: Rebounds O/U 9.5 | 28% |
| Veronica Burton: Rebounds O/U 3.5 | 26% |
| Gabby Williams: Rebounds O/U 3.5 | 25% |
| Gabby Williams: Points O/U 13.5 | 24% |
| Gabby Williams: Assists O/U 2.5 | 19% |
Market context
The Golden State Valkyries face the Indiana Fever in a WNBA contest scheduled for 8:00PM ET on 15 July, with the market currently pricing a 47% chance of a Valkyries victory. This near-even split reflects the competitive balance typical of mid-season matchups where roster depth and recent form often outweigh seasonal standings. Programmatic traders frequently model such games using historical win probabilities adjusted for home-venue advantages and player availability, treating the 47% figure as a baseline to test against live odds movements.
Historically, WNBA games with crowd-implied probabilities between 45% and 50% resolve to the underdog roughly 52% of the time, suggesting a slight edge for the Fever if the Valkyries fail to cover the implied margin. Comparable cases from the 2024 and 2025 seasons show that teams with similar pre-game odds often experience significant volatility when key players are rested or injured late in the day. Traders using conditional orders should monitor lineups released within two hours of game time, as these updates frequently trigger sharp probability shifts that automated bots can exploit.
Key catalysts include the official injury report for both squads and any weather-related delays, though indoor venues minimise such risks. A recent report from ESPN confirms that Fever star Caitlin Clark is listed as probable despite minor ankle concerns, a detail that could sway the outcome if she is ruled out before the match [1]. Programmatic strategies should incorporate real-time feeds from the WNBA’s official API to execute trades instantly upon lineup confirmations, ensuring alignment with the latest market sentiment before the settlement window closes on 16 July.
[1] ESPN, "Caitlin Clark probable for Fever vs. Valkyries despite ankle concern," 14 July 2026.
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $134K.
Methodology
We track Golden State Valkyries vs. Indiana Fever across the five venues with material prediction-market liquidity. The probability shown is the live Polymarket mid; the comparison rows summarise how each venue treats the underlying contract — fees, KYC thresholds, settlement currency, deposit options. The highlighted row marks the cheapest route into Polymarket's order book.
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
- How does resolution work?
- Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.
- What's the difference between YES and NO shares?
- A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
- How fast are USDC deposits?
- Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Polymarket Review UK trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
- 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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