<|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 2019-10-27 01:03:38, UCLAFootball from company ucla tweeted. The tweet was "Not a bad way to close the first half! 💯

📺: <hyperlink>

#ASUvsUCLA | #Pac12FB <hyperlink>". The most similar tweets were, 
1. 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. 
2. 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. 
3. On 2020-05-10 21:08:59, CoachDee_USC handle of company williams tweeted. The tweet was "#SocialDistancing from the rest of the #Pac
#TakeBackTheWest 
#FightOn ✌🏽✌🏽✌🏽✌🏽
This is #USC <hyperlink>". This tweet got 529 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
