<|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 2019-07-10 16:15:00, BBCSport from company bbc tweeted. The tweet was "Cricket ✅
Football ✅
Tennis ❌

We won't be seeing <mention> on the court at #wimbledon any time soon... <hyperlink>". The most similar tweets were, 
1. On 2019-05-19 12:04:25, Venuseswilliams handle of company williams tweeted. The tweet was "Going to be playing here pretty soon! Court #1 has a roof! #wimbledon #london #tennis <hyperlink>". This tweet got 1939 number of likes. 
2. On 2019-06-17 11:00:01, HSBC_UK handle of company hsbc tweeted. The tweet was "Want to be courtside for The Championships, Wimbledon on 11th July? Tell us what your all-time favourite #Wimbledon moment is for your chance to win a pair of tickets! T&amp;Cs apply <hyperlink> 18+ only. Closes 23:59 23rd June 2019. <hyperlink>". This tweet got 474 number of likes. 
3. On 2019-07-14 13:49:14, primevideosport handle of company amazon tweeted. The tweet was "And <mention>'s run chase to nervously watch too 😅

#CWC19 #Wimbledon #BritishGP <hyperlink>". This tweet got 278 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
