Top actors web on score trends India


Web series are the next thing and so are its actors who have created a new league for themselves. Actor Ali Fazal who has been applauded for his role in Mirzapur and Kirti Kulhari  for ‘ Four More Shots Please’  has hit the top charts of Score Trends India for the recent week .

In the category of best  actress in Web series,  Kirti Kulhari has shocked all with her bold performance in Amazon Prime’s  ‘Four More Shots Please’  gaining  94 points leading the charts followed by Radhika Apte ( Netfix’s Sacred Games & Ghoul) on 46 points ranking second. BFF’s with Vogue season 2 ( Voot) put Neha Dhupia on rank third with 7 points  also Swara Bhaskar  for her performance in ‘Its Not that Simple (Voot)’ and Rasbhari puts her on rank fourth  and Lisa Ray on rank fifth  ( ‘Four More Shots Please’) with 2 points.

In the category of best actor, Ali Fazal’s top notch performance  in Amazon’s Mirzapur puts him on top of the chart with 79 points along side with Ronit Roy on rank 2 with 48 points for Kehne Ko Humsafar Hain on Alt Balaji. Bollywood actor Saif Ali Khan continues to stand strong with ranking 3 for his performance in Sacred Games ( Netflix) along with Nawazuddin Siddiqui on rank 4 with 43 & 42 points respectively. Last but not the least Pankaj Tripathi rank 5 with 37 points for his most remarkable act in Mirzapur.  (Please find the statistic graphics attached) 

These statistics are authenticated and researched by the US-based media tech Score Trends India.

Kirti fared well in all the three platforms, Digital News, Newspaper and Viral News. 

While, Ali Fazal’s popularity rises as he scored good in the Digital News, Social  and viral News   

 Ashwani Kaul, co-founder of Score Trends reveals, “ Web series is the future and therefore we began tracking the actors and found huge fan following for them  on Social platforms, Viral news, Digital News and Newspapers who might be minuscule in cinema but huge on Web format”. 

Kaul further added ,“We collect data from over 600 news sources across 14 languages in India to analyse the media. These include Facebook, Twitter, print publications, viral news on social media, broadcast and digital platforms”. 

“Various sophisticated algorithms then help us to process this massive amount of data and arrive at the scores and rankings of celebrities,” conclude Kaul