<|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 2020-10-04 20:24:48, espn from company espn tweeted. The tweet was "Browns win a thriller in Dallas 🔥 <hyperlink>". The most similar tweets were, 
1. On 2020-10-18 18:10:09, playmakerTD handle of company td tweeted. The tweet was "Browns fans right now <hyperlink>". This tweet got 285 number of likes. 
2. On 2018-12-24 12:57:08, playmakerTD handle of company td tweeted. The tweet was "When you realize you have to be a Browns fan next week <hyperlink>". This tweet got 875 number of likes. 
3. On 2018-09-21 20:51:43, TheUPSStore handle of company ups tweeted. The tweet was ".<mention> fans before the game last night vs. <mention> fans at work today #Browns #Believeland <hyperlink>". This tweet got 235 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
