Current numerical weather models indicate a typical mid-winter day in Cape Town’s Mediterranean climate, with official guidance pointing to a maximum near 16–17°C amid variable Atlantic onshore flow and possible scattered cloud. This positions 17°C as the market favorite at 37.5% implied probability, narrowly ahead of 18°C at 32%, while 16°C sits at 17%. Key differentiating factors include the precise timing and coverage of any weak frontal cloud or light rain, which can suppress daytime warming by 1–2°C, versus clearer intervals allowing modest solar heating. Historical June climatology shows average highs of 16–18°C, and the tight spread among leading outcomes reflects genuine forecast uncertainty in steering patterns and boundary-layer moisture that will resolve with the next model runs.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateHighest temperature in Cape Town on June 11?
17°C 38%
18°C 32%
16°C 17%
19°C 14%
11°C or below
<1%
12°C
<1%
13°C
<1%
14°C
<1%
15°C
1%
16°C
17%
17°C
38%
18°C
32%
19°C
14%
20°C
<1%
21°C or higher
<1%
17°C 38%
18°C 32%
16°C 17%
19°C 14%
11°C or below
<1%
12°C
<1%
13°C
<1%
14°C
<1%
15°C
1%
16°C
17%
17°C
38%
18°C
32%
19°C
14%
20°C
<1%
21°C or higher
<1%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Cape Town International Airport Station, available here: https://www.wunderground.com/history/daily/za/matroosfontein/FACT.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Binuksan ang Market: Jun 9, 2026, 1:13 AM ET
Resolution Source
https://www.wunderground.com/history/daily/za/matroosfontein/FACTResolver
0x69c47De9D...The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Cape Town International Airport Station, available here: https://www.wunderground.com/history/daily/za/matroosfontein/FACT.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Resolution Source
https://www.wunderground.com/history/daily/za/matroosfontein/FACTResolver
0x69c47De9D...Current numerical weather models indicate a typical mid-winter day in Cape Town’s Mediterranean climate, with official guidance pointing to a maximum near 16–17°C amid variable Atlantic onshore flow and possible scattered cloud. This positions 17°C as the market favorite at 37.5% implied probability, narrowly ahead of 18°C at 32%, while 16°C sits at 17%. Key differentiating factors include the precise timing and coverage of any weak frontal cloud or light rain, which can suppress daytime warming by 1–2°C, versus clearer intervals allowing modest solar heating. Historical June climatology shows average highs of 16–18°C, and the tight spread among leading outcomes reflects genuine forecast uncertainty in steering patterns and boundary-layer moisture that will resolve with the next model runs.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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