<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-10-27 07:48:26, BBCSportWales from company bbc tweeted. The tweet was "🏉 Wales stand on the brink of history this morning! Can they beat South Africa to reach their first World Cup final with England lying in wait?
👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-27 10:57:35, SABCNews handle of company sabc tweeted. The tweet was "BREAKING: South Africa beat #Wales 19-16 to advance to the Rugby World Cup final #Springboks #RWC2019 #WALvRSA <hyperlink>". This tweet got 537 number of likes. 
2. On 2018-07-11 17:30:00, TheAACars handle of company aa tweeted. The tweet was "Come on England! Bring it home! #worldcup #semifinal RT if you think we can do it #threelions #itscominghome #ENGCRO <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-10-07 05:19:40, thepaulwilliams handle of company williams tweeted. The tweet was "No messing from Gatland.

Wales have been here before 👇 <hyperlink>". This tweet got 351 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
