Clippers Ticket Intelligence
Side Project · April 2026
I scraped and analyzed secondary market ticket data for every LA Clippers home game at Intuit Dome during the 2025–26 season. The goal was to understand where the current pricing model leaves revenue on the table and propose data-driven strategies the ticket sales team could actually implement.
16x
Resale price spread
41
Home games analyzed
3
AI strategies proposed
The Problem
NBA teams set face values months before tip-off, but demand is dynamic. Resellers exploit the gap — buying at face value and flipping at market price. For the Clippers, the resale spread between a Lakers matchup (high demand) and a Wizards matchup (low demand) was 16x. That spread represents revenue the team could capture with smarter initial pricing.
What I Found
By mapping every home game's face value against its resale price, I identified three distinct pricing regimes: premium opponents (Lakers, Warriors, Celtics) where face value dramatically underpriced demand, mid-tier games where pricing was roughly efficient, and low-demand games where face value was set too high — leading to empty seats and last-minute discounting.
Three AI-Native Proposals
1) Predictive face-value pricing — a model that sets initial ticket prices based on opponent strength, day of week, season momentum, and historical resale data. 2) AI-scored lead lists — using purchase history and engagement signals to prioritize which season ticket holders to contact for upsells vs. which are at risk of not renewing. 3) Resale-signal churn detection — monitoring when season members list tickets on secondary markets as an early warning sign for non-renewal.
Why It Matters
Intuit Dome is the most technologically advanced arena in the NBA — facial recognition entry, a unified fan identity graph across all events, cashierless concessions. The data infrastructure is already there. These proposals are designed to plug into that existing tech stack, not require new systems.
Tools & Technologies
Topics