<|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 2019-06-10 09:20:51, BBCSport from company bbc tweeted. The tweet was "6.1m!!!

#ENGSCO broke the UK TV viewing figure record for women's football! 🙌 

#FIFAWWC #ChangeTheGame <hyperlink>". The most similar tweets were, 
1. On 2019-06-20 15:37:09, M0lly_Writes handle of company hudson tweeted. The tweet was "28 comments on my England report and not a single one is sexist, I can’t tell you happy that makes me feel.

Proud of the <mention> for continuing to challenge deep-seated opinions and stereotypes 🙌🏻#ThisGirlCan #ENG #FIFAWWC <hyperlink>". This tweet got 81 number of likes. 
2. On 2019-10-05 09:17:36, primevideosport handle of company amazon tweeted. The tweet was "The crowd for #ENGvARG is rocking in Portsmouth 😂

<hyperlink>". This tweet got 558 number of likes. 
3. On 2018-06-28 16:41:00, FootySuperTips handle of company free tweeted. The tweet was "BREAKING: England's line up for the rest of the #WorldCup 😂

#ENGBEL #ENG #ThreeLions <hyperlink>". This tweet got 47 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
