Pakistan Sports

PSL Live Streaming on YouTube – Watch PSL Live Matches for Free

(Last Updated On: 21/02/2016)

The first ever professional Twenty20 cricket league named Pakistan Super League is going in with all its full zeal and enthusiasm. Pakistanis are glad with that they have successfully insert their name in those countries who are annually holding their own professional cricket leagues. The event has been going on in the United Arab Emirates and will last till February 23, 2016.

If you are looking for the free sources to watch the live matches of PSL then there is a free way to watching the live matches of the ongoing PSL matches. Below is the direct link of the special live streaming channel of the YouTube for all matches of the PSL. This channel will remain active till the last day of the PSL. In the off days, it will stream the highlights of the previous matches.




PSL Live – Pakistan Super League 2016

YouTube in Pakistan providing the free live streaming of the ongoing matches of the PSL. If you have an internet connection then you can freely enjoy the live matches of PSL right from the screen of your PC. The main benefit of using the live streaming service of PSL is that there is no advertisement system unlike other live streaming service where there is plenty of interruption in case of disruptive advertisement. In case of YouTube live streaming of PSL, advertisement will come only after the end of the over or fall of wicket that usually appear during matches on the cable TV channels.

Speaking about this collaboration the Country Manager, South Asia Emerging Markets at Google, Tania Aidru said, “This first-of-its-kind arrangement with HBL PSL is set to bring the best of Pakistan cricket to millions of fans in the country and around the world via YouTube.”

The great news of this feature was announced by the Najam Sethi via his official twitter account.


About the author

Jennifer Mccarthy

Jennifer is Associate Professor (Ph.D) at Air University.
Research Interests: Informatics; analysis of large-scale biological data sets (genomics, gene expression, proteolytic, networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bio-informatics.

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