<|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 2018-05-08 20:38:09, BBCSport from company bbc tweeted. The tweet was "FT Swansea 0-1 Southampton 

It's a massive three points for the Saints thanks to substitute Manolo Gabbiadini.

Swansea's fate is now out of their own hands.

Reaction 👉 <hyperlink> #SWASOU #bbcfootball <hyperlink>". The most similar tweets were, 
1. On 2018-05-09 09:49:07, FootySuperTips handle of company free tweeted. The tweet was "#SaintsFC's review of their trip to Swansea is HILARIOUS!

😂😂😂 <hyperlink>". This tweet got 56 number of likes. 
2. On 2020-09-20 13:12:51, stadiumastro handle of company astro tweeted. The tweet was "EPL HIGHLIGHTS | Southampton 2-5 Tottenham Hotspur

Son Heung-min scored FOUR goals to help Jose Mourinho's side clinch their first win of the season!

#StadiumAstro
#PremierLeague <hyperlink>". This tweet got 83 number of likes. 
3. On 2019-10-25 20:54:18, FootySuperTips handle of company free tweeted. The tweet was "LEICESTER HAVE BEAT SOUTHAMPTON 9-0!!!!

That is the biggest away win in Premier League history!! <hyperlink>". This tweet got 64 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
