<|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 2020-01-04 08:35:00, BBCSport from company bbc tweeted. The tweet was "It's time for <mention>'s <mention> &amp; <mention> to take on the Honesty Cards!

More on Football Focus, 12:00 GMT, <mention> 
#bbcfootball #pvfc <hyperlink>". The most similar tweets were, 
1. On 2018-07-14 18:01:44, stadiumastro handle of company astro tweeted. The tweet was "Hazard vs England: All Angles!

#AstroWC2018 <hyperlink>". This tweet got 70 number of likes. 
2. On 2020-05-10 10:45:36, KurleyRolandCam handle of company cameron tweeted. The tweet was "Supporting and investing in <mention> from England. Excited for when football is back 😍 #HazloSuyo <hyperlink>". This tweet got 146 number of likes. 
3. On 2018-06-14 07:51:21, FootySuperTips handle of company free tweeted. The tweet was "Time to start the #WorldCup off right, FOOTBALLS COMING HOME #threelions #eng

(Credit:<mention>) <hyperlink>". This tweet got 52 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
