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Highest temperature in Paris on July 23?

"Highest temperature in Paris on July 23?" — live sports odds and platform comparison.

25°C 100% 21°C or below 0% 22°C 0% 23°C 0% Volume: $120K Liquidity: $225K Closes: 23 Jul 2026
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Highest temperature in Paris on July 23?

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Sport Prediction) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
100% 0% 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 →

Outcome probabilities

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

OutcomeProbability
25°C100%
21°C or below0%
22°C0%
23°C0%
24°C0%
26°C0%
27°C0%
28°C0%
29°C0%
30°C0%
31°C or higher0%

Market context

Paris is in the middle of its climatological warm season, and that matters more here than the market’s 0% YES print. July is typically the warmest month in the city, with average highs around 26–27°C, while historical July daily highs can still vary widely, from roughly 20°C on cooler days to above 40°C in exceptional heat spikes[2][3]. That makes a low-probability bucket such as the market’s current frontrunner at 25°C look more like a reflection of a specific outcome band than a statement that heat is impossible.

For traders, the key drivers are the same ones that move any late-July Paris temperature print: the latest synoptic setup over northern France, cloud cover and rainfall timing, and whether a warm-air ridge or a cool Atlantic flow dominates by the afternoon. Since settlement uses the Paris-Le Bourget Airport station and the day’s highest recorded temperature on Wunderground, attention should stay on short-range forecasts, not just the midday reading, because the value can be set by a brief late-afternoon spike[1]. The market’s own display shows 25°C as the current frontrunner, which is consistent with a relatively mild outcome rather than a heatwave scenario[1].

Sources: 1 · 2 · 3

Methodology

Sports-specific comparison page for Highest temperature in Paris on July 23?. 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

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.
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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