Analyzing stadium utilization
I'm diving into stadium utilization, looking at metrics like load factors, sell-out rates, and ticket prices. For example, Anfield is expanding to 61k, while Old Trafford caps at about 74k. The average attendance for the 2022-23 EPL season was roughly 40,234, though a smaller stadium like Kenilworth Road affects overall numbers. I've noted high sell-out rates and significant waiting lists for major clubs. It could be interesting to provide a reproducible notebook if needed.Drafting a mini-report outline
I'm thinking about creating a mini-report with several sections, like key metrics, comparative context with leagues like Bundesliga and La Liga, and a 5-year trend analysis. I'll also consider stadium capacity, utilization, revenue per seat, and club distribution. It's important to note scheduling impacts and developments like the new Everton stadium. I need to ask the user how in-depth they want it and if they have specific data or timeframe in mind. I'll draft in Chinese and keep formatting simple, using bullets if needed.Examining league attendance trends
I need to note that even though the EPL is considered the "world's number one league," its average attendance is lower than the Bundesliga. However, the EPL excels in utilization and global demand. A club-level snapshot shows top attendances with Man United around 73k, followed by teams like West Ham and Tottenham at 62k. Many clubs reach sell-out rates near 99%, but smaller stadiums like Bournemouth and Luton pull down the average. Ticket prices are higher, with significant matchday revenues, and trends indicate a strong post-COVID bounce back in attendance.Creating a visualization plan
I’m thinking about proposing a visualization and analysis plan for match attendance. If they have match-by-match attendance data, I can calculate occupancy rates and examine factors like opponent quality, kickoff time, weather, and TV choices. For clubs or partners, recommendations could include capacity expansion and dynamic pricing strategies. I need to structure this neatly in sections with titles like "英超上座分析" and include key takeaways. Each section will have 4-6 concise bullet points to keep it clear and actionable.Offering data options
I’m thinking about suggesting that we pull authoritative data from sources like Transfermarkt or the EFL official, but we’ll need network approval first. I could ask if they want me to fetch the last five seasons of attendance data and create visualizations for them. Including a sample code snippet for reading CSV files with pandas might be helpful, but I’ll keep it concise. I’ll note data accuracy warnings and define the "世界第一" concept relating to revenue and broadcast reach, while also acknowledging that attendance average isn't the top but occupancy and demand are elite.
英超上座分析(简版)

近5季趋势(概览)
供给侧:容量与设施
需求侧:决定因素(可量化)
俱乐部分布(示例)
与他联赛对比
数据工作建议(可为你落地)
需要的数据与选择
你希望我:
告诉我你的赛季范围与是否允许我联网抓取数据,我就开工。