<|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 2019-07-06 21:07:17, BBCSport from company bbc tweeted. The tweet was "South Africa have knocked hosts Egypt out of the #AFCON2019 

Match report 👉 <hyperlink>
#bbcfootball <hyperlink>". The most similar tweets were, 
1. On 2019-10-27 10:57:35, SABCNews handle of company sabc tweeted. The tweet was "BREAKING: South Africa beat #Wales 19-16 to advance to the Rugby World Cup final #Springboks #RWC2019 #WALvRSA <hyperlink>". This tweet got 537 number of likes. 
2. On 2018-10-15 18:26:18, SABC_Sport handle of company sabc tweeted. The tweet was "#AFCON2019Q Fixture: Tuesday 16 Oct 18 - Live on <mention> @ 15:00

Seychelles vs <mention> 

#SABCFootball <hyperlink>". This tweet got 130 number of likes. 
3. On 2018-04-24 19:32:28, FootySuperTips handle of company free tweeted. The tweet was "Headline for the summer:

"Mo Salah wins Egypt the World Cup!"

#LIVROM <hyperlink>". This tweet got 98 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
