<|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 2020-10-02 22:00:00, bayer04_en from company bayer tweeted. The tweet was "See you tomorrow in Stuttgart!

🔜 #VFBB04 <hyperlink>". The most similar tweets were, 
1. On 2020-05-30 16:00:00, bayer04_en handle of company bayer tweeted. The tweet was "Up next: #B04FCB <hyperlink>". This tweet got 602 number of likes. 
2. On 2019-05-29 15:34:13, bayer04_en handle of company bayer tweeted. The tweet was "Good luck in the <mention> final today <mention>! <hyperlink>". This tweet got 1739 number of likes. 
3. On 2018-10-05 18:42:39, bayer04_en handle of company bayer tweeted. The tweet was "Heading into the weekend at the top of your #UEL table... 

<hyperlink>". This tweet got 450 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
206<|im_end|>
