<|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 2018-04-27 11:56:03, SkySportsNews from company sky tweeted. The tweet was "BREAKING: <mention> has announced he will leave <mention> at the end of the season after 22 illustrious years. #SSN <hyperlink>". The most similar tweets were, 
1. On 2018-02-28 20:54:11, SABC_Sport handle of company sabc tweeted. The tweet was "‘<mention> has officially announced his retirement from Football live on <mention>!

#SABCsport <hyperlink>". This tweet got 200 number of likes. 
2. On 2019-03-28 23:42:37, NFLTotalAccess handle of company total tweeted. The tweet was ".<mention> DB <mention> gives his thoughts on the departure of former teammates <mention> and <mention> 🔊⬆️ <hyperlink>". This tweet got 591 number of likes. 
3. On 2018-10-21 09:33:36, stadiumastro handle of company astro tweeted. The tweet was "Tonight on #SundayNightLive with <mention> &amp; <mention> from 10pm, ASSP 3

#EVECRY <hyperlink>". This tweet got 42 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
