IPL 2026: 74 matches, 12 stadiums

BCCI published the second phase schedule running April 13–May 24 across 12 Indian venues — Bengaluru, Mumbai, Chennai, Kolkata, Delhi, Ahmedabad, Hyderabad, Lucknow, Jaipur, Dharamshala, Raipur and New Chandigarh — to complete the remaining 50 league matches of IPL 2026. (iplt20.com) Delhi Capitals’ published Head of Operations job description lists duties that include multi‑agency coordination, match‑day logistics, security liaison and venue readiness, illustrating the operational remit franchises must staff for a compressed multi‑city window. (delhicapitals.in) Several franchises are already splitting home fixtures this season — Royal Challengers Bengaluru will play in Bengaluru and Raipur while Rajasthan Royals shift remaining home games to Jaipur — creating extra travel legs, staggered kit movements and venue handovers for operations teams. (cricketworld.com) Franchise logistics commonly use external partners for kit transport and freight management, as evidenced by long‑term logistics partnerships such as DHL with Mumbai Indians, which demonstrates how clubs outsource critical supply‑chain tasks during dense fixture periods. (afaqs.com) BCCI central contracts remain separate from IPL salaries and the auction/retention system, so player representatives and agents manage IPL bids, retention talks and commercial deals during and after the auction cycle — a role analysed in coverage of agent activity at recent IPL auctions and legal guides to player contracts. (ipl.com) Practical analytics needs for a 12‑stadium season include venue‑specific models for pitch and dew effects, which are documented in venue guides, and in‑team analyst roles that Mumbai Indians and other franchises describe as translating ball‑by‑ball data into coachable outputs. (cricketstadium.com.in) Entry‑level operations and player‑representation roles are visible via franchise and BCCI listings for operations assistants, logistics coordinators and player liaison officers, while analyst entry points are documented in team analyst profiles and public student projects that use SQL/Python on ball‑by‑ball datasets to generate venue models. (bcci.tv) Replicable undergraduate projects illustrated by existing GitHub portfolios include (1) an SQL‑driven venue performance dashboard using ESPNcricinfo ball‑by‑ball feeds, (2) a Python model predicting innings‑by‑venue chasing probabilities for the 12 host grounds, and (3) an operations‑ready match‑day checklist template tied to a sample travel itinerary covering back‑to‑back fixtures; similar public repos and tutorials show how to structure each deliverable. (espncricinfo.com)