<|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 2018-09-19 07:00:46, MastercardNews from company mastercard tweeted. The tweet was "Match found! Mastercard expands its global sports sponsorships and partners with <mention> and <mention>  <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-21 09:00:10, MastercardNews handle of company mastercard tweeted. The tweet was ".<mention> highlights the expansion of our global sponsorship portfolio <hyperlink> <hyperlink>". This tweet got 108 number of likes. 
2. On 2018-09-20 07:30:06, MastercardNews handle of company mastercard tweeted. The tweet was "Ready to become a legend? Mastercard just joined <mention> in becoming the first global partner for <mention> <hyperlink> <hyperlink>". This tweet got 1356 number of likes. 
3. On 2019-10-22 07:15:00, MastercardNews handle of company mastercard tweeted. The tweet was "We are partnering with <mention> to launch cards in the U.S. by the end of the year. It’s part of the expansion of our relationship enabling Revolut to issue cards in any market around the world where Mastercard is accepted. <hyperlink> <hyperlink>". This tweet got 146 number of likr 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
103<|im_end|>
