<|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 2019-10-06 10:55:00, BBCSport from company bbc tweeted. The tweet was "Here's everything that went down at #UFC243  
👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-01-17 23:56:50, MonsterEnergy handle of company monster tweeted. The tweet was "This is actually happening 😵
#UFC246 #MonsterEnergy 

<hyperlink>". This tweet got 1233 number of likes. 
2. On 2019-03-02 16:00:01, LGUS handle of company lg electronics tweeted. The tweet was "Plans for today? Don't miss #UFC235 tonight at 10 PM ET as the UFC light heavyweight and welterweight titles will be on the line! Watch the live stream through the <mention> app on LG premium TVs <hyperlink>". This tweet got 134 number of likes. 
3. On 2019-11-03 00:24:35, MonsterEnergy handle of company monster tweeted. The tweet was "#UFC244 is LIVE!
#SuperNecessary that we got our 💵 on <mention> taking home the <mention> #BMF belt! 😤💪
#MonsterEnergy #MMA <hyperlink>". This tweet got 304 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
