<|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 2018-08-18 21:20:32, espn from company espn tweeted. The tweet was ".<mention> is giving out 23 of his <mention> jerseys to different LA athletes. Who do you think is next? 🤔 (via <mention>) <hyperlink>". The most similar tweets were, 
1. On 2018-08-07 23:49:41, realtimwilliams handle of company williams tweeted. The tweet was "You know <mention> is rocking a <mention> jersey while at <mention>! <hyperlink>". This tweet got 434 number of likes. 
2. On 2020-12-08 21:45:00, cbcsports handle of company cbc tweeted. The tweet was "Canadian athletes <mention> and <mention> led the way in 2020 for global Twitter mentions 🌎 

What athlete were you talking about the most this year? 👀🇨🇦 <hyperlink>". This tweet got 287 number of likes. 
3. On 2019-03-28 23:42:37, NFLTotalAccess handle of company total tweeted. The tweet was ".<mention> DB <mention> gives his thoughts on the departure of former teammates <mention> and <mention> 🔊⬆️ <hyperlink>". This tweet got 591 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
