<|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 2019-03-08 19:00:28, SkySportsNews from company sky tweeted. The tweet was "BREAKING: <mention> announce two test event matches to be held at new stadium. #SSN <hyperlink>". The most similar tweets were, 
1. On 2018-07-25 04:45:00, stadiumastro handle of company astro tweeted. The tweet was "Catch these #ICC2018 matches this week on Astro and #AstroGO! <hyperlink>". This tweet got 65 number of likes. 
2. On 2019-10-21 08:45:00, stadiumastro handle of company astro tweeted. The tweet was "Here's our coverage of #UCL matches for this week. 👇 <hyperlink>". This tweet got 46 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
