<|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 2018-12-29 07:43:00, EuroLeague from company turkish airlines tweeted. The tweet was "Watch the best moments from an action-packed opening day of the #adidasNGT Qualifier in Valencia.  

And catch today's action at ➡ <mention> and <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-12-30 16:52:22, EuroLeague handle of company turkish airlines tweeted. The tweet was "Highlights from Sunday at the #AdidasNGT in Valencia 👀 <hyperlink>". This tweet got 16 number of likes. 
2. On 2020-12-15 20:00:27, EuroLeague handle of company turkish airlines tweeted. The tweet was "An impressive road-win for <mention> tonight! <hyperlink>". This tweet got 75 number of likes. 
3. On 2018-11-21 16:48:45, EuroLeague handle of company turkish airlines tweeted. The tweet was "Another night, another big game!

🏀 <mention> v <mention> 
⏰ 20:00 CET

Get to the arena with <mention> 👉 <hyperlink> <hyperlink>". This tweet got 26 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
17<|im_end|>
