Mullanpur debut, PBKS edge GT

Punjab Kings beat Gujarat Titans by three wickets in a low‑scoring thriller at Mullanpur — Cooper Connolly hit a debut half‑century and the match underlined venue‑specific needs like pitch prep, crowd flow and home‑advantage planning for new stadiums. Ops teams will be watching Mullanpur's first‑time handling of ticket demand and match logistics. (espncricinfo.com)

District by Zomato was the exclusive ticketing partner for PBKS home fixtures at the Maharaja Yadavindra Singh International Cricket Stadium, with reported price bands for the PBKS–GT match ranging roughly from ₹2,250 to ₹25,000. (sportsboardindia.com) The Mullanpur venue lists a seating capacity of about 38,000 and was scheduled to host PBKS fixtures on March 31 and April 11 in the IPL 2026 window. (cricbuzz.com) Match-day operations encountered an equipment-control moment when Rahul Tewatia’s bat failed an official gauge test and required replacement during the game, an incident that falls under match-official and kit‑control protocols. (msn.com) On-field performance details that shaped overs management included Gujarat pacer Prasidh Krishna posting the tournament’s notable bowling figures of 3/29 in the contest. (indianexpress.com) The ground completed upgrades—including an installed roof—ahead of IPL 2025, upgrades that shift operational focus to covered crowd-flow routes and sheltered concourse capacity planning. (insidesport.in) The Punjab Cricket Association is the stadium operator and scheduler for Mullanpur fixtures, a governance fact that frames who franchise operations teams must coordinate with for access, security and local transport plans. (espncricinfo.com) Punjab Kings’ support structure explicitly lists roles such as General Manager—Cricket Operations and an in‑team analyst (named in published staff lists), showing franchise openings where event logistics and data-analytics tasks are housed. (sportingnews.com) A hands‑on undergraduate project aligned to this match: combine District ticketing timestamps with ball‑by‑ball match feeds from Cricbuzz/Times of India to model turnstile throughput and predict ingress‑to‑start lag for a 38,000‑seat IPL fixture. (district.in) Core technical skills demonstrated by public IPL analytics case studies and job listings include Python (pandas), SQL, time‑series analysis and BI visualization (Power BI/Tableau), all directly applicable to building the ticket‑throughput and match‑timing dashboards used by franchises. (chiragsuri.github.io)

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