<|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 2018-03-23 08:41:00, EuroLeague from company turkish airlines tweeted. The tweet was "Every game is beginning to matter...

The story of last night ⬇️ <hyperlink>". The most similar tweets were, 
1. On 2018-01-06 09:26:30, EuroLeague handle of company turkish airlines tweeted. The tweet was "5 Games❗
Numerous Highlights❗

⏪ The story of last night ⏪

#GameON <hyperlink>". This tweet got 38 number of likes. 
2. On 2020-11-20 21:46:42, EuroLeague handle of company turkish airlines tweeted. The tweet was "What a game it has been for <mention>! 👏 <hyperlink>". This tweet got 50 number of likes. 
3. On 2020-03-04 21:24:16, EuroLeague handle of company turkish airlines tweeted. The tweet was "A VITAL win on the road for <mention>!

#GameON <hyperlink>". This tweet got 44 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
37<|im_end|>
