<|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 2019-05-08 19:51:00, bayer04_en from company bayer tweeted. The tweet was "One of our security guards who's been with us for all 40 Bundesliga seasons is retiring, so the guys made sure to give him a proper send off! ❤️ <hyperlink>". The most similar tweets were, 
1. On 2019-06-19 07:30:13, bayer04_en handle of company bayer tweeted. The tweet was "When a goalkeeper goes on holiday... 😂 <hyperlink>". This tweet got 437 number of likes. 
2. On 2019-10-13 16:08:23, bayer04_en handle of company bayer tweeted. The tweet was "Just thinking about the Bundesliga returning on Friday like...  <hyperlink>". This tweet got 632 number of likes. 
3. On 2020-12-19 19:11:18, bayer04_en handle of company bayer tweeted. The tweet was "80’ Ten minutes to go... 

#B04FCB | 1-1 | #Bundesliga <hyperlink>". This tweet got 226 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
707<|im_end|>
