<|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 2018-09-02 23:16:43, ESPNCFB from company espn tweeted. The tweet was "Tempers flaring early for LSU and Miami... <hyperlink>". The most similar tweets were, 
1. On 2020-10-03 20:36:54, YahooSportsCFB handle of company yahoo tweeted. The tweet was "When you thought it couldn't get any worse for Florida State... <hyperlink>". This tweet got 52 number of likes. 
2. On 2020-09-26 16:05:10, YahooSportsCFB handle of company yahoo tweeted. The tweet was "Florida and Ole Miss took a knee before kickoff. <hyperlink>". This tweet got 265 number of likes. 
3. On 2019-03-16 18:05:15, ASTROGaming handle of company astro tweeted. The tweet was "When the squad's rocking the heat. <mention>

Time to turn it up at #CWLFortWorth 🔥 <hyperlink>". This tweet got 84 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
