<|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 2019-01-18 16:44:09, BBCSnooker from company bbc tweeted. The tweet was "Judd Trump beats world number one Mark Selby 6-2 to reach the semi-finals of the Masters #bbcsnooker <hyperlink>". The most similar tweets were, 
1. On 2018-03-17 16:49:50, VirginMedia_TV handle of company virgin media tweeted. The tweet was "It's all over at #Twickenham! Ireland are GRAND SLAM WINNERS! Final Score ENG 15-24 IRE. #ENGvIRE #NatWest6Nations What a performance from the entire team. <hyperlink>". This tweet got 114 number of likes. 
2. On 2018-11-03 22:03:38, Mastercard handle of company mastercard tweeted. The tweet was "Getting to playtest the #Worlds2018 finals on stage is legendary. Meeting <mention> on that stage is Priceless. <hyperlink>". This tweet got 60 number of likes. 
3. On 2019-07-13 07:00:00, virginmedia handle of company virgin media tweeted. The tweet was "Who’s the ultimate court jester? Like for Novak Djokovic. RT for Mansour Bahrami. #Wimbledon <hyperlink>". This tweet got 121 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
