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توقع: Chicago Sky vs. Golden State Valkyries

How the prediction market is pricing "توقع: Chicago Sky vs. Golden State Valkyries" right now — Polymarket mid plus comparison with Betfair and Manifold.

O/U 164.5 56% O/U 165.5 54% O/U 166.5 51% Azurá Stevens: Points O/U 10.5 50% Volume: $82K Liquidity: $1.3M Closes: 13 Aug 2026
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توقع: Chicago Sky vs. Golden State Valkyries

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via احتمالات كأس العالم) Pick
polygram.ink (preferred broker)
56% 44% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle View on Polymarket →
Polymarket (direct)
polymarket.com
56% 44% 0% Geo-blocked in US/UK/EU USDC, on-chain View on Polymarket →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD View on Polymarket →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR View on Polymarket →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) View on Polymarket →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
O/U 164.556%
O/U 165.554%
O/U 166.551%
Azurá Stevens: Points O/U 10.550%
Spread -8.550%
Kamilla Cardoso: Points O/U 13.548%
DiJonai Carrington: Points O/U 10.548%
O/U 167.548%
Spread -9.547%
Natasha Cloud: Assists O/U 5.543%
Spread -10.543%
Veronica Burton: Assists O/U 6.541%
Courtney Vandersloot: Assists O/U 4.532%
Gabby Williams: Rebounds O/U 2.531%
Natasha Cloud: Assists O/U 4.531%
Courtney Vandersloot: Rebounds O/U 2.531%
Azurá Stevens: Rebounds O/U 6.530%
Azurá Stevens: Assists O/U 2.530%
Azurá Stevens: Points O/U 11.530%
Courtney Vandersloot: Points O/U 8.530%
Kamilla Cardoso: Rebounds O/U 8.528%
Natasha Cloud: Points O/U 10.527%
Gabby Williams: Points O/U 13.526%
Courtney Vandersloot: Rebounds O/U 3.526%
DiJonai Carrington: Rebounds O/U 3.526%
DiJonai Carrington: Points O/U 11.526%
Natasha Cloud: Rebounds O/U 3.525%
Kamilla Cardoso: Points O/U 14.525%
Courtney Vandersloot: Points O/U 9.524%
Gabby Williams: Assists O/U 2.523%
Chicago Sky vs. Golden State Valkyries22%
Kamilla Cardoso: Assists O/U 2.522%

Market context

Chicago Sky travel to face the Golden State Valkyries in a WNBA game that the market is treating as a clear Golden State lean, with the crowd price at 22% for a Sky win. That sits below most pre-game moneylines available across the market, where Golden State were generally around -365 to -430 and Chicago ranged from about +310 to +380, implying a Sky win probability closer to the high-20s or low-30s rather than the low-20s.[1][6][11][13] The spread was also firmly in Golden State’s favour, mostly between -8.5 and -9.5, which is consistent with a team expected to control the game rather than needing late variance.[1][6][12]

Historically, this kind of price tends to reflect a strong home favourite with a materially better record rather than a coin-flip upset profile. ESPN listed Golden State at 23-9 and Chicago at 12-21 before tip-off, with the Valkyries 13-4 at home and the Sky 4-12 away, a split that supports a single-digit underdog probability for Chicago.[1] Comparable previews earlier in the season also had Golden State favoured by roughly 5.5 to 8.5 points, with moneylines in the -185 to -425 range, so the current 22% is directionally consistent with a market that has repeatedly rated the Sky as live but clearly second-best.[2][4][5][9][10]

For traders, the main catalysts are late lineup news and any change to the game state before the 2:00 UTC settlement window closes. The market resolves on the final score after overtime, and a postponement keeps it open until completion, so any delay or reschedule matters directly.[1] Absent a cancellation, the fastest-moving inputs are injury and availability reports, starting line-ups, and whether either side rests key rotation players on a compact schedule. No specific late-breaking absence was included in the market data, so the key dependency is whether the pre-tip roster remains close to the status quo reflected in the current spread and moneyline.[1][8]

Sources: 1 · 2 · 3 · 4 · 5

Live Data & Statistics

The Polymarket order book prices O/U 164.5 at 56% for "توقع: Chicago Sky vs. Golden State Valkyries".

O/U 164.5 56% Other 44%

Live stats load when the match begins. Current market odds are shown above. Trading volume: $82K.

Methodology

Football-specific comparison page for توقع: Chicago Sky vs. Golden State Valkyries. 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 (US-focused) or Manifold (play-money).

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

Are prediction markets better than sports betting?
Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
Which sports markets are available?
Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
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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