<|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 2018-01-16 20:50:41, EuroLeague from company turkish airlines tweeted. The tweet was ".<mention> bounces back in style <hyperlink>". The most similar tweets were, 
1. On 2018-10-25 20:47:34, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> bounces back with a win! <hyperlink>". This tweet got 57 number of likes. 
2. On 2019-01-10 19:30:02, EuroLeague handle of company turkish airlines tweeted. The tweet was "A bounce back win from <mention> 💪 <hyperlink>". This tweet got 1511 number of likes. 
3. On 2020-10-29 20:05:19, EuroLeague handle of company turkish airlines tweeted. The tweet was "Highlights...

<mention> bounces back to take the home W! <hyperlink>". This tweet got 30 number of likr 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
31<|im_end|>
