Considering analysis options
I suggest proposing a template and analysis structure if the user provides odds. Alternatively, I could create a more generic analysis, explaining that we don't have live odds, and ask them to paste their odds list. I can draft a headline and sample article that can easily be updated once the exact odds are known. It's important to remain concise and offer options like writing a Chinese news稿 or calculating implied probabilities. I’ll be ready to craft a response in Chinese!Framing conditional analysis
I can frame the analysis conditionally, noting that, based on certain odds, Inter Milan ranks second, slightly behind first place, while Arsenal's odds have notably increased. I can outline analysis points like injuries, schedules, Elo ratings, xG, experience, and knockout matchups. I will also provide a brief explanation of the implied probability formula, p=1/(odds), and a sample code snippet in Python for removing bookmaker margins. My response will include a short news稿 and options for how to convert odds to probabilities and remove margins. I'll keep it concise!Including implied probability function
I want to include a small Python function for calculating implied probabilities from decimal odds. Here's what I've got:
def implied_probs(decimal_odds): raw = [1/o for o in decimal_odds] s = sum(raw) return [p/s for p in raw]I also need to consider including versions for fractional and American odds, but I’ll keep it minimal. Then, I can suggest next steps for the user. Let's make sure everything is clear and helpful!
这是个很好的选题。你想要的是哪种产出?
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先给你一版可直接用的短稿(占位写法,随时替换具体数字/机构):
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若你有具体赔率,我可以帮你把赔率换成“去水后”的真实夺冠概率,便于画图/写稿。示例(十进制赔率):
# 输入十进制赔率,输出去水后的夺冠概率def implied_probs_decimal(odds): raw = [1.0/o for o in odds] s = sum(raw) return [p/s for p in raw]# 示例:如 [3.50, 3.70, 6.00, 9.00, 13.00]teams = [[[NEWS.CONTENT_HTML]]quot;球队A[[NEWS.CONTENT_HTML]]quot;,[[NEWS.CONTENT_HTML]]quot;球队B[[NEWS.CONTENT_HTML]]quot;,[[NEWS.CONTENT_HTML]]quot;球队C[[NEWS.CONTENT_HTML]]quot;,[[NEWS.CONTENT_HTML]]quot;球队D[[NEWS.CONTENT_HTML]]quot;,[[NEWS.CONTENT_HTML]]quot;球队E[[NEWS.CONTENT_HTML]]quot;]odds = [3.50, 3.70, 6.00, 9.00, 13.00]for t,p in zip(teams, implied_probs_decimal(odds)): print(t, round(p*100, 2), [[NEWS.CONTENT_HTML]]quot;%[[NEWS.CONTENT_HTML]]quot;)如果你给我: