<|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 2019-03-10 00:00:00, UCLAFootball from company ucla tweeted. The tweet was "See you Saturday, April 20th for the 2019 Spring Game! #GoBruins <hyperlink>". The most similar tweets were, 
1. On 2019-05-07 23:17:13, UCLAHealth handle of company ucla health tweeted. The tweet was "Represent your team and be one of the first 40,000 fans at the <mention> game on Saturday, May 11th at 6:10pm to get your lightweight hoodie, presented by #UCLAHealth. Get your tickets. ➨ <hyperlink> Go #Dodgers! <hyperlink>". This tweet got 200 number of likes. 
2. On 2019-05-09 23:03:53, UCLAHealth handle of company ucla health tweeted. The tweet was "Don't forget to represent your team and be one of the first 40,000 fans at the <mention> game on Saturday, May 11th at 6:10 pm to get your lightweight hoodie, presented by #UCLAHealth. Get your tickets. ➨ <hyperlink> Go #Dodgers! <hyperlink>". This tweet got 167 number of likes. 
3. On 2020-02-15 14:30:51, CoachWilliams12 handle of company williams tweeted. The tweet was "Coming Home!! No better place to play a college basketball game. Let’s pack Bud Walton Arena today!! #wps <hyperlink>". This tweet got 169 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
