python案例怎么看这场比赛的进球总数？

wen python案例 2026-09-20 1

Python 分析一场比赛的进球总数

你想用 Python 来获取和统计一场比赛的进球总数，具体方法取决于你的数据来源，我分几种常见场景给你讲：

你已经有比赛数据（最基础）

假设数据是 JSON 或字典格式：

match = {
    "home_team": "曼城",
    "away_team": "阿森纳",
    "home_score": 3,
    "away_score": 1
}
total_goals = match["home_score"] + match["away_score"]
print(f"{match['home_team']} vs {match['away_team']} 总进球: {total_goals}")
# 输出：总进球: 4

如果是事件列表（每个进球一条记录）：

events = [
    {"minute": 12, "type": "goal", "team": "曼城"},
    {"minute": 34, "type": "goal", "team": "阿森纳"},
    {"minute": 56, "type": "goal", "team": "曼城"},
    {"minute": 78, "type": "goal", "team": "曼城"},
    {"minute": 85, "type": "yellow_card", "team": "阿森纳"},
]
total_goals = sum(1 for e in events if e["type"] == "goal")
print("总进球:", total_goals)  # 4

用 pandas 分析多场比赛

import pandas as pd
df = pd.DataFrame({
    "home": ["曼城", "利物浦", "切尔西"],
    "away": ["阿森纳", "曼联", "热刺"],
    "home_score": [3, 2, 1],
    "away_score": [1, 1, 1],
})
df["total_goals"] = df["home_score"] + df["away_score"]
print(df[["home", "away", "total_goals"]])

实时/历史数据 API

常用的足球数据 API：API-Football、Football-Data.org、SportMonks 等。

以 football-data.org 为例：

import requests
API_KEY = "你的API密钥"
url = "https://api.football-data.org/v4/matches/123456"  # 比赛ID
headers = {"X-Auth-Token": API_KEY}
resp = requests.get(url, headers=headers).json()
home = resp["score"]["fullTime"]["home"]
away = resp["score"]["fullTime"]["away"]
print(f"总进球: {home + away}")

⚠️ 注意：

需要注册拿 API Key（有免费额度）
部分接口有速率限制
比赛未结束时用 fullTime 可能为 None，改用 halfTime 或实时事件

从网页抓取（如懂球帝、SofaScore）

import requests
from bs4 import BeautifulSoup
url = "https://www.sofascore.com/xxx"  # 具体比赛页
html = requests.get(url, headers={"User-Agent": "Mozilla/5.0"}).text
soup = BeautifulSoup(html, "html.parser")
# 需要按实际页面结构定位元素
home_score = int(soup.select_one(".home-score").text)
away_score = int(soup.select_one(".away-score").text)
print("总进球:", home_score + away_score)

⚠️ 很多体育网站是 JS 动态渲染的，requests 抓不到，需要用 Selenium / Playwright。

本地数据文件（CSV / Excel）

import pandas as pd
df = pd.read_csv("matches.csv")
match = df[df["match_id"] == 1001].iloc[0]
total = match["home_score"] + match["away_score"]
print(total)