<|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 2019-10-30 16:16:50, EuroLeague from company turkish airlines tweeted. The tweet was "Show us your pumpkins 🎃

Can you create something better than these players for #EuroLeagueHalloween? <hyperlink>". The most similar tweets were, 
1. On 2018-10-11 18:52:14, EuroLeague handle of company turkish airlines tweeted. The tweet was "OK <mention>!

We could see a few of these this season!

#7DAYSMagicMoment <hyperlink>". This tweet got 40 number of likes. 
2. On 2019-03-14 11:14:28, EuroLeague handle of company turkish airlines tweeted. The tweet was "A BUMPER night of #EuroLeague action!

#GameON <hyperlink>". This tweet got 42 number of likes. 
3. On 2020-04-01 18:32:43, EuroLeague handle of company turkish airlines tweeted. The tweet was "Lifting the 🏆 in your home arena! 

What a night for <mention> 🔥

#GameON I #EUROLEAGUEUNITED <hyperlink>". This tweet got 65 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
53<|im_end|>
