After Mumbai’s victory, Hardik Pandya said – he was very happy when Punjab captain Lokesh Rahul handed over the last over off-spinner Krishnappa; 25 runs were scored in the last over

  • Hindi news
  • Sports
  • Cricket
  • Ipl 2020
  • After Mumbai’s Victory, Hardik Pandya Said He Was Very Happy When Punjab Captain Lokesh Rahul Handed Over The Last Over Off spinner Krishnappa; 25 Runs Were Scored In The Last Over

Dubai11 minutes ago

  • Copy link

Hardik Pandya scored an unbeaten 30 off 11 balls, he also hit 1 six in the last over.

  • Mumbai Indians beat Kings XI Punjab by 48 runs
  • There was a 67-run partnership between Pandya and Pollard.

In the IPL-13, on Thursday night, Mumbai Indians defeated Kings XI Punjab by 48 runs. Batting first after losing the toss, Mumbai Indians gave the target of 192 runs to Punjab Kings XI. The Punjab team, chasing the target, could only score 143 runs for 8 wickets.

67-run partnership between Pandya and Pollard

The winning heroes of Mumbai were Hardik Pandya and Kiron Pollard. In Mumbai’s 191-run innings, apart from captain Rohit Sharma (70), Pollard scored an unbeaten 47 off 20 balls and Hardik Pandya scored 30 not out off 11 balls. There was also a partnership of 67 runs on 23 balls between these two.

25 runs were scored in the last over

Pollard and Hardik Pandya had 4 sixes in the last over. The Punjab captain entrusted the responsibility of the last over of the innings to off-spinner Krishnappa Gautam. Hardik Pandya said – When Krishnappa Gautam came to bowling in the last over, I was very happy. Maine and Pollard talked among themselves, whoever misses the ball will take one run and strike the other. Our plan worked.

A total of 25 runs were scored in this over and four fours were hit. Hardik Pandya was hit for a six on the second ball of the over. One run was scored on the third ball. While Pollard was hit for six on the last three balls.

Source link

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.