<|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 2019-03-07 17:25:52, SkySportsNews from company sky tweeted. The tweet was "BREAKING: <mention> sack manager Eusebio Di Francesco #SSN <hyperlink>". The most similar tweets were, 
1. On 2019-11-18 02:14:32, IndependentNGR handle of company independent tweeted. The tweet was "Manager Sacked After 27-0 Victory <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-10-30 18:20:13, EuroLeague handle of company turkish airlines tweeted. The tweet was "<mention> follows his man and gets the block 🛑

#7DAYSMagicMoment <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-03-28 19:55:26, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> gets up and nothing was getting in his WAY 💪

#7DAYSMagicMoment <hyperlink>". This tweet got 43 number of 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
