<|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 2018-10-17 20:21:39, EuroLeague from company turkish airlines tweeted. The tweet was ".<mention> bounces back with the win on the road!

<mention> led all scorers with 18 points 💪

HIghlights... <hyperlink>". The most similar tweets were, 
1. On 2018-10-18 21:24:54, EuroLeague handle of company turkish airlines tweeted. The tweet was "A bounce back win for <mention> to improve to 2-1!

Highlights... <hyperlink>". This tweet got 35 number of likes. 
2. 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. 
3. 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 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
43<|im_end|>
