<|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 2018-11-16 19:48:48, EuroLeague from company turkish airlines tweeted. The tweet was "We are going to overtime between <mention> and <mention>! <hyperlink>". The most similar tweets were, 
1. On 2019-10-20 07:54:26, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> came to PLAY in overtime 🔥

#StatStories | <mention> <hyperlink>". This tweet got 73 number of likes. 
2. On 2018-11-21 19:52:55, EuroLeague handle of company turkish airlines tweeted. The tweet was "OVERTIME!

<mention> claws it back in the 4th to tie it at 86-86 <hyperlink>". This tweet got 27 number of likes. 
3. On 2020-12-22 19:15:58, EuroLeague handle of company turkish airlines tweeted. The tweet was "We are all <mention> watching <mention> <hyperlink>". This tweet got 554 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
23<|im_end|>
