<|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 2018-07-26 16:33:00, espn from company espn tweeted. The tweet was ".<mention> announced his return to basketball. <hyperlink>". The most similar tweets were, 
1. On 2020-06-06 09:29:17, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> of <mention>  talks about his current situation and how not playing basketball has changed his routine! 🗣️

#GameON I #EUROLEAGUEUNITED <hyperlink>". This tweet got 18 number of likes. 
2. On 2019-03-28 17:45:55, TwitterSports handle of company twitter tweeted. The tweet was "⚾ <mention> is BACK!

Let's PLAY BALL!!!  #OpeningDay <hyperlink>". This tweet got 1097 number of likes. 
3. On 2018-06-22 21:57:05, TwitterSports handle of company twitter tweeted. The tweet was "Welcome to the league, #NBADraft Class of 2018!

From draft day to the Finals, and everything in-between... 

#NBATwitter is happening. <hyperlink>". This tweet got 1042 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
