Pronóstico: Highest temperature in Beijing on July 31?

Platform comparison

Market context

Beijing Capital International Airport’s highest temperature on 31 July will be set by the day’s actual afternoon peak, and the market resolves off the Wunderground history page for that station. Beijing is normally close to its seasonal heat maximum at the end of July, so the baseline for the session is already hot rather than marginal. The long-run July average high is about 31.8°C, while the specific 31 July average high in historical Beijing climate data is around 31°C, with the date also carrying a recorded extreme high of 37°C in one source and much higher July records in broader Beijing climate datasets.[1][2][3]

That leaves the 0% YES price as a very aggressive view unless the market is using a far higher threshold than the implied framing suggests. Historical comparables point to a city where the late-July distribution is clustered in the low-30s Celsius rather than near the extremes: one Beijing climate series puts 31 July’s mean high at 31°C and shows July’s average high at 31.8°C overall, while other summaries place July record highs well into the 40s but only as outliers, not the norm.[1][3][6] In practical terms, whether the market prints YES depends on where the range bands are set, because the underlying airport observation is likely to land near the seasonal mean unless a genuine heat surge develops.[1][3]

Traders should watch the Beijing forecast track through the day, especially the afternoon maximum, cloud cover, wind and any late-day thunderstorm or rainfall signals, because those are the factors most likely to cap the peak before the settlement window closes. A hotter-than-normal north China summer has been noted in recent reporting on record-breaking heat across the country, but that does not by itself guarantee an airport maximum on any given day; the key dependency is the local synoptic setup over the capital on 31 July.[19] Any shift in the short-range forecast from clear, dry conditions to convective rain or thicker cloud would move the expected high down materially, while sustained sunshine and dry air would keep the day closer to the low-to-mid 30s Celsius.[2][12]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for Pronóstico: Highest temperature in Beijing on July 31?. 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.

When do sports markets resolve?

Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.

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.

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.