<|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 2018-04-17 20:40:35, SkySportsNews from company sky tweeted. The tweet was "BREAKING: Accrington Stanley are promoted to League One for the first time in their history after a 2-0 win over Yeovil. #SSN <hyperlink>". The most similar tweets were, 
1. On 2018-04-28 18:29:21, PUMASouthAfrica handle of company puma tweeted. The tweet was "8 times Premier League Champions. The Sky is the Limit for <mention> ☝🏾#ForeverYellow <hyperlink>". This tweet got 1101 number of likes. 
2. On 2018-07-07 22:57:14, cbcsports handle of company cbc tweeted. The tweet was "The <mention> wrapped up first place after defeating the <mention>, clinching the League Leaders' Shield <hyperlink>". This tweet got 183 number of likes. 
3. On 2018-02-21 19:47:56, ASUSUSA handle of company asus tweeted. The tweet was "What went into creating the outstanding <mention>'s #NALCS #LeagueofLegends team? Find out on ROG: <hyperlink> <hyperlink>". This tweet got 30 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
