<|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 2019-06-29 21:25:00, BBCSport from company bbc tweeted. The tweet was "Where are the Premier League clubs heading to for their pre-season friendlies?

Let's take a look 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-29 10:49:00, FootySuperTips handle of company free tweeted. The tweet was "The Guardian's Premier League team of the season so far.

Your thoughts lads? <hyperlink>". This tweet got 45 number of likes. 
2. On 2018-10-23 07:09:17, stadiumastro handle of company astro tweeted. The tweet was "The weekend round-up from match day 9 of the Premier League <hyperlink>". This tweet got 120 number of likes. 
3. On 2018-09-20 16:51:00, FootySuperTips handle of company free tweeted. The tweet was "POLL: which London club will go further in the #EuropaLeague this season?

RT for Chelsea
LIKE for Arsenal <hyperlink>". This tweet got 110 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
