22／23赛季以来顶级前锋越位数：哈兰德仅18次，C罗143次（22／23赛季至今顶级前锋越位统计：哈兰德仅18次，C罗多达143次）
Evaluating player metrics
I’m considering per-90 metrics adjusted by minutes and thinking about striking roles. Haaland generally makes well-timed runs while playing on the shoulder of defenders, whereas Ronaldo at Al Nassr plays closer to the last line, often encountering offside traps. However, I should avoid definitive statements since I can't browse right now. I could verify offside counts with databases like Opta or FBref and gather comparisons for Haaland and Ronaldo in their respective leagues.Assessing offside metrics
I’m noticing that the total of 143 offsides seems high since the 22/23 season, especially considering his games in the Saudi league and the partial seasons. Our knowledge cutoff is 2024-10, and the numbers could shift depending on the provider. I think a better metric might be the offside rate per 90 minutes and also analyzing runs made behind the defense. While discussing this, I’ll ask if the user is looking to verify something specific, source information, or conduct a tactical analysis. Offsides can be misleading without proper context from the teams and their playing styles!
你是想求证这条数据，还是想要一点战术层面的解读？
快速提醒：
- 统计口径很关键：联赛 vs. 全赛事、是否含国家队、截截止到哪一天、不同数据商（Opta/StatsBomb/FBref）口径都可能不同。 
- 只看累计次数会“误伤”出场时间多的人，更公平的比较是“越位/90分钟”。
- 联赛差异也会影响对比：英超与欧战的判罚与回放标准、沙特联赛的数据采集/判罚尺度并不完全一致，可比性有限。
- 角色与体系不同：哈兰德在瓜帅体系里常有更精准的时机与传球选择（减少无谓越位）；C罗在沙特多为最后一线高位埋伏、频繁冲最后肩线吃传中与身后球，本身更“越位高风险”。
如果你需要，我可以：
- 用同一来源（如 FBref/Opta 公开页）按你指定口径抓取“22/23 至今”的越位总数与越位/90对比（说明含哪些赛事）。
- 做一张小表，把几位前锋（哈兰德、C罗、莱万、姆巴佩、凯恩等）的越位/90与触球热区、接直塞次数放一起，给到风格上的解释。 
- 只做战术解读，不追数据源核验。
选个你要的方式（1/2/3），或告诉我需要核验的具体口径与时间点。