Interpreting user query

The user’s message is in Chinese, referring to a refereeing statistic involving Real Madrid. It seems they’re asking for context or commentary, though they didn’t make a specific request. As an assistant, I should ask clarifying questions or offer insights about referee statistics and their potential impact on game discipline. Since I can't browse, I’ll advise that without the referee's name or match date, my analysis can't be completely precise.Analyzing referee statistics

I need to highlight that 35 yellow cards and 6 red cards in 7 matches means about 5 yellows and 0.86 reds per game, both notably high. Comparing to La Liga's historical averages, yellows are around 4.8, and reds between 0.2 and 0.3 per match. This rate is significant and can have tactical implications for Real Madrid. I should advise caution regarding betting and include a clarifying question about the specific referee or past matches.Computing card statistics

I’m calculating that 35 yellows divided by 7 matches gives 5.0 yellows, while 6 reds results in 0.86 reds per match, making a total of 5.86 cards per match. It's interesting that the red card to yellow ratio is about 17%. However, I should mention that this can seem overstated since red cards can come from direct offenses or second yellows. The reference to "卡牌大师" might be a clever pun about "The Master of Cards," suggesting the game may have more interruptions and set pieces.Calculating red card probability

I can compute the probability of at least one red card in a match using the Poisson distribution with a lambda of 0.86. The calculation gives me about a 58% chance. However, I should clarify that this is more of an illustrative statistic rather than a predictive one. I could present the data in Chinese, touching on per-match stats, league averages, tactical impacts, and some advice for aggressive players on Real Madrid to stay cautious. I’ll also offer to check the referee's name if the user provides match details.