<|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 2018-07-04 00:29:25, cnni from company cnn tweeted. The tweet was "After defeat, Japan's World Cup team left behind a spotlessly clean locker room and a 'thank you' note <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-28 16:00:27, GettySport handle of company getty images tweeted. The tweet was "So, this turned out to be a pretty important save 

#JPN #JPNPOL #WorldCup <hyperlink>". This tweet got 173 number of likes. 
2. On 2019-11-04 11:20:00, cnnsport handle of company cnn tweeted. The tweet was "After their 3-1 semifinal win over <mention>, <mention>’ #Worlds2019 banter looks to be quite prophetic. Save your money for their skins 👀

👉 <hyperlink> <hyperlink>". This tweet got 2180 number of likes. 
3. On 2018-06-30 10:35:15, GettySport handle of company getty images tweeted. The tweet was "These guys... 🇵🇹🇦🇷🇧🇷

#WorldCup #CM2018 <hyperlink>". This tweet got 111 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
892<|im_end|>
