<|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 2018-11-19 18:32:50, BBCSport from company bbc tweeted. The tweet was "The EFL has agreed a new five-year TV  rights deal with Sky Sports.

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👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-15 14:01:01, primevideosport handle of company amazon tweeted. The tweet was "Eastleigh FC just want to play football, not silly games 😂 <hyperlink>". This tweet got 511 number of likes. 
2. On 2020-02-04 14:56:55, CNNFC handle of company cnn tweeted. The tweet was "“If the FA had valued the FA Cup they probably wouldn’t have scheduled replays in the first winter break the Premier League has had,” <mention> of <mention> tells <mention> <hyperlink>". This tweet got 2041 number of likes. 
3. On 2020-03-17 11:45:37, IndependentNGR handle of company independent tweeted. The tweet was "Premier League Risk Breaching £3B TV Contract If Season Is Cancelled <hyperlink> <hyperlink>". This tweet got 0 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
