Arshad Nadeem Stadium to be developed in Mian Channu
LAHORE: Director General of Sports Punjab Pervez Iqbal on Tuesday revealed plans to develop the Arshad Nadeem Stadium in the athlete’s hometown of Mian Channu. DG Sports Punjab disclosed this during his meeting with the Paris Olympics gold medal winner.
The meeting celebrated Nadeem’s historic achievement and discussed future plans to nurture athletic talent in the province. DG hailed Arshad as “the true hero and role model of Pakistan.” The Olympic champion was accompanied by his coach, Salman Iqbal Butt, highlighting the teamwork behind this monumental success. “Arshad Nadeem has achieved great distinction for the country among the international sports community,” Iqbal stated, emphasising the pride felt across the nation. “The entire country is elated by his remarkable feat.” The meeting also shed light on upcoming initiatives by Sports Board Punjab to bolster sports development in the region.
-
Prince William Closes Saudi Arabia Visit With Rare Desert Shot -
'King Charles Acts Fast Or Existential Crisis' Over Andrew Scandal -
Brooklyn Beckham Charging Nearly £300 In Ticket Cost For Burger Festival -
Prince William Makes Unexpected Stop At Local Market In Saudi Arabia -
Zayn Malik Shares Important Update About His Love Life -
Kate Middleton, William Are Holding Onto Their Hats As Worse Gets Threatened: Behind The Veil Of Shame -
British Soap Awards Scrapped Again As ITV Confirms 2026 Hiatus -
Climate Nearing Dangerous Tipping Points, Study Shows -
James Van Der Beek, 'Dawson's Creek' Star, Dies At 48 -
Threads Launches Dear Algo AI Feature To Personalise Feeds In Real Time -
Police Take Action Over Andrew's Ties With Jeffrey Epstein While In UK Office -
Courtney Love Makes First Appearance Since New Report On Kurt Cobain's Death -
King Charles Anxious As Uncertainty Grows Over Sarah Ferguson’s Next Move -
Real Reason Kim Kardashian Is Dating Lewis Hamilton -
Rihanna Leaves Elderly Woman Star-struck In Viral Grocery Store Video -
TikTok US Launches Local Feed Using Precise Location Data