<|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 2019-12-21 23:00:00, UCLAAthletics from company ucla tweeted. The tweet was "Against all odds, the 2018 <mention> team made a comeback for the ages in the final two rotations at the NCAA Championships, winning the title in dramatic fashion on a perfect 10 from <mention> on the last routine. 

#GoBruins | #ChampionsMadeHere <hyperlink>". The most similar tweets were, 
1. On 2019-09-11 19:21:54, UCLAHealth handle of company ucla health tweeted. The tweet was "We're so excited to celebrate with our amazing <mention> friends their NL West Championship win for the 7th year in a row!

Congratulations from all of us <mention>!

#LABleedsBlue #BestintheWest <hyperlink>". This tweet got 90 number of likes. 
2. On 2019-10-22 23:36:48, UCLAHealth handle of company ucla health tweeted. The tweet was "We can’t wait for tonight’s tip-off of another exciting season with our partners, the <mention>! #TeamUCLALakers <hyperlink>". This tweet got 76 number of likes. 
3. On 2019-05-03 02:10:05, UCLAHealth handle of company ucla health tweeted. The tweet was "#TBT to #UCLANight at the <mention> game when Dr. Esrailian threw out the first pitch to celebrate the new #UCLAKardashianCenter. ➨ <hyperlink>
<mention> <hyperlink>". This tweet got 41 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
