<|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 2019-07-10 11:00:01, Barclaycard from company barclaycard tweeted. The tweet was "Cheer on world-class #athletes at <mention> as they compete at the #MullerAnniversaryGames between 20-21 Jul 19 🏆🏅 

Race ahead and get your tickets at <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-27 14:49:00, ToyotaStadiumTX handle of company toyota tweeted. The tweet was "Soccer returns tonight! Plus, stay in your seats after the match to cheer on the <mention> Special Olympics Unified Team, supported by <mention>!

INFO: <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-02-12 17:27:23, Toyota handle of company toyota tweeted. The tweet was "Meet U.S. Olympian <mention>  as we get ready to cheer on #TeamToyota athletes! #LetsGoPlaces <hyperlink> <hyperlink>". This tweet got 318 number of likes. 
3. On 2019-12-21 20:44:11, stadiumastro handle of company astro tweeted. The tweet was "WORLD CHAMPIONS !!!!

<mention>  lift #ClubWC trophy for the first time... <hyperlink>". This tweet got 46 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
