
Considering football analysis
It seems like our network is enabled, but we don't actually need any external data for this. My knowledge cuts off in October 2024, and currently, it’s December 2025, so I can't provide the latest stats for the 2025-26 season. Instead, I can discuss general insights, potential causes, and metrics to consider. I can also suggest ways to enhance watchability, like rule changes or coaching strategies. Regarding Serie A, we can explore tactical approaches and trends without making unsupported assertions.Exploring football metrics and tactics

I can suggest various metrics like goals per 90, xG, shots, penalties, and more to analyze performance. Tactically, there seems to be a shift toward formations like 3-5-2 and 5-3-2, with teams emphasizing compactness and mid-block strategies. The current environment leads to risk aversion, especially among teams facing relegation. Factors like winter weather, fixture congestion, and refereeing differences can also impact game dynamics. Overall, it’s better to keep the discussions general and not delve into specifics on rule changes or details.Analyzing coaching and gameplay trends

There seems to be a trend of pragmatic coaches focused on defensive stability, particularly among newly promoted teams that might be using a back five formation. I wonder if there's a talent drain affecting strikers, especially with top scorers like Vlahović leaving. Regarding set pieces, it looks like conversions from corners might be dropping. To improve watchability, we could suggest league initiatives to tackle time-wasting and incentivize attacking play, possibly through tiebreakers. For data analysis, I can check public datasets like Opta via Fbref if the user is interested.Outlining potential factors in goal decline
I can propose an outline for analyzing if goals per 90 are down. Possible drivers could include fewer shots due to tightened defensive blocks, rising PPDA indicating less pressing, and lower shot quality with more crosses and fewer cutbacks. Penalties and set-piece goals might also be impacted by officiating changes. The trend towards more 0-0 games could be due to draw incentives in close matches. Teams managing tempo when they have an early lead is another factor. I can check metrics on Fbref or StatsBomb if needed and could provide club examples like Juventus and Atalanta. I’m happy to gather data if the user is interested!Crafting a concise response
I need to keep the final answer brief and effective, incorporating that "罗体" likely refers to "罗马体育报" (La Gazzetta dello Sport). I should acknowledge this without heavy formatting, though I can use short headers. I'll opt for headers like "可能原因," "怎么验证," and "改进建议" as bullet points. Keeping it concise will help retain clarity and focus. Now, I’ll get started on writing this out!
确实这赛季“0-0体感”很强。就算不看具体赛季数据,意甲进球下降通常有这几类驱动:
怎么验证(很快能看出来的指标)
可能的对策(短中期)
要不要我拉一份本赛季至今的意甲联赛数据快照(进球/90、xG、有效时间、点球率、PPDA等)做个小图表对比上季?你选数据源:1) FBref/Opta公开面板,2) Understat,3) 你已有的赛事数据文件。