体坛：2003-06年龄段，中国队对韩国队的战绩已占据优势（体坛：在2003-06年龄段，中国队对韩国队的交锋战绩占优）

Asking for clarity

I think it's better to ask a clarifying question first. If the user references the report from Tiyu about the youth age group from 2003-06 having a positive head-to-head record against Korea, it likely reflects recent U17-U20 friendlies. However, the findings may come from small sample sizes, which doesn't guarantee similar outcomes at the senior level. I’ll suggest key analysis points like sample size, styles of play, and development pipelines. Then I could propose metrics like match lists, wins/losses, and goal difference for a more robust analysis.Crafting a response

I want to start by acknowledging their statement and asking what they’re looking for: a summary, data, or analysis. Then I can consider a few key points: defining the 2003-06 cohort and the teams involved (U17-U20), and noting that Korea is their age-matched opponent. I should differentiate between official matches and friendlies and mention general potential reasons for any edge, like pace improvements or overseas training, while avoiding too much speculation. I should also highlight the caveats around sample sizes and tournament variance. Finally, I'll offer to build a dataset if they share a link or request me to pull data. I'll ask for confirmation if they want me to search the web for recent match lists.Preparing a concise response

I think it's helpful to ask if they have a specific link to share. Following a CLI style, I should keep my response concise and use bullet points for clarity. My focus will be on producing a short response that clearly outlines their options. This way, I’ll ensure the information is easily digestible and straightforward for them to follow. I'll provide a quick set of steps or choices they can take next.