适合开发者的最佳 Sports Betting Odds API (2026)

开发者最佳体育博彩赔率 API (2026)

构建体育博彩应用程序、赔率对比工具或分析平台，需要可靠的实时赔率数据访问权限。选择合适的 API 是项目成败的关键——你需要准确的数据、广泛的博彩公司覆盖范围、合理的定价以及良好的开发者体验。

本指南对比了 2026 年最优秀的体育博彩赔率 API，并提供了代码示例和选择合适 API 的实践指导。

顶尖体育博彩赔率 API 对比

API	免费额度	起步价格	覆盖运动项目	博彩公司数量	最适合
The Odds API	500 次请求/月	$20/月	35+	70+	独立开发者
Sportradar	提供试用	定制报价	50+	100+	企业级应用
BetOdds API	100 次请求/日	$29/月	20+	50+	赔率对比工具
OddsJam API	无免费额度	$99/月	25+	40+	套利/价值投注
API-Football	100 次请求/日	$19/月	足球/英式足球	30+	专注足球的应用
RapidAPI Sports	视具体情况而定	视具体情况而定	视具体情况而定	视具体情况而定	聚合访问

1. The Odds API

The Odds API 是个人开发者和小型团队最热门的选择。它提供简洁、文档齐全的端点，并拥有慷慨的免费试用额度。

核心特性

• 覆盖美国、英国、欧盟和澳大利亚的 70 多家博彩公司
• 支持 35 种以上的运动，包括 NFL、NBA、MLB、NHL、足球、网球、MMA
• 提供实时赔率、赛前盘和滚球数据
• 提供历史赔率数据
• 简单的 REST API 与 JSON 响应

设置

# 在 https://the-odds-api.com 注册以获取你的 API key
# 免费额度：每月 500 次请求

代码示例

获取可用运动项目：

import requests

API_KEY = "your_api_key_here"
BASE_URL = "https://api.the-odds-api.com/v4"

# 获取可用运动列表
response = requests.get(
    f"{BASE_URL}/sports",
    params={"apiKey": API_KEY}
)

sports = response.json()
for sport in sports:
    print(f"{sport['key']}: {sport['title']} ({'In Season' if sport['active'] else 'Off Season'})")

获取特定运动的赔率：

# 从多家博彩公司获取 NFL 赔率
response = requests.get(
    f"{BASE_URL}/sports/americanfootball_nfl/odds",
    params={
        "apiKey": API_KEY,
        "regions": "us",              # us, uk, eu, au
        "markets": "h2h,spreads,totals",  # 胜负盘, 让分盘, 大小球
        "oddsFormat": "american",     # american, decimal, fractional
        "bookmakers": "draftkings,fanduel,betmgm"  # 可选过滤器
    }
)

games = response.json()

for game in games:
    print(f"\n{game['away_team']} @ {game['home_team']}")
    print(f"Start: {game['commence_time']}")

    for bookmaker in game.get("bookmakers", []):
        print(f"\n  {bookmaker['title']}:")
        for market in bookmaker.get("markets", []):
            if market["key"] == "h2h":
                for outcome in market["outcomes"]:
                    print(f"    {outcome['name']}: {outcome['price']}")

获取实时滚球赔率：

# 获取实时比赛赔率
response = requests.get(
    f"{BASE_URL}/sports/basketball_nba/odds-live",
    params={
        "apiKey": API_KEY,
        "regions": "us",
        "markets": "h2h,spreads,totals"
    }
)

live_games = response.json()
for game in live_games:
    print(f"LIVE: {game['away_team']} @ {game['home_team']}")

JavaScript/TypeScript 示例：

const API_KEY = "your_api_key_here";
const BASE_URL = "https://api.the-odds-api.com/v4";

interface OddsResponse {
  id: string;
  sport_key: string;
  home_team: string;
  away_team: string;
  commence_time: string;
  bookmakers: Bookmaker[];
}

interface Bookmaker {
  key: string;
  title: string;
  markets: Market[];
}

interface Market {
  key: string;
  outcomes: Outcome[];
}

interface Outcome {
  name: string;
  price: number;
  point?: number;
}

async function getNFLOdds(): Promise<OddsResponse[]> {
  const params = new URLSearchParams({
    apiKey: API_KEY,
    regions: "us",
    markets: "h2h,spreads,totals",
    oddsFormat: "american",
  });

  const response = await fetch(
    `${BASE_URL}/sports/americanfootball_nfl/odds?${params}`
  );

  if (!response.ok) {
    throw new Error(`API error: ${response.status}`);
  }

  // 检查请求头中剩余的请求次数
  const remaining = response.headers.get("x-requests-remaining");
  console.log(`Requests remaining: ${remaining}`);

  return response.json();
}

定价

方案	请求次数/月	价格	历史数据
Free	500	$0	否
Starter	10,000	$20/月	否
Standard	50,000	$75/月	是
Premium	250,000	$200/月	是

2. Sportradar

Sportradar 是体育数据的企业级标准。它为许多主要的博彩平台、媒体公司和体育联盟提供支持。

核心特性

• 最全面的数据覆盖范围（50+ 种运动）
• 与 NFL、NBA、NHL、NASCAR 建立官方数据合作伙伴关系
• 实时文字直播数据 (Play-by-play)
• 球员特选盘 (Player props) 和高级市场
• 流式数据推送 (Push updates)

代码示例

import requests

API_KEY = "your_sportradar_key"
BASE_URL = "https://api.sportradar.us"

# 获取 NFL 赛程和赔率
response = requests.get(
    f"{BASE_URL}/oddscomparison-usp1/en/categories/sr:category:33/outrights.json",
    params={"api_key": API_KEY}
)

data = response.json()

# 获取特定比赛的实时赔率
match_id = "sr:match:12345678"
response = requests.get(
    f"{BASE_URL}/oddscomparison-usp1/en/matches/{match_id}/probabilities.json",
    params={"api_key": API_KEY}
)

match_odds = response.json()

定价

Sportradar 使用定制化的企业定价。请联系其销售团队获取报价。基础访问权限预计需 $500+/月，实时数据流的价格则会显著更高。

3. 构建赔率对比工具

以下是使用 The Odds API 构建简单赔率对比工具的代码实例：

from dataclasses import dataclass

@dataclass
class OddsComparison:
    game: str
    market: str
    outcome: str
    best_book: str
    best_odds: float
    worst_book: str
    worst_odds: float
    edge: float

def find_best_odds(games: list[dict]) -> list[OddsComparison]:
    comparisons = []

    for game in games:
        game_name = f"{game['away_team']} @ {game['home_team']}"

        # 收集每项结果的所有博彩公司赔率
        outcomes: dict[str, list[tuple[str, float]]] = {}

        for bookmaker in game.get("bookmakers", []):
            for market in bookmaker.get("markets", []):
                if market["key"] != "h2h":
                    continue
                for outcome in market["outcomes"]:
                    key = outcome["name"]
                    if key not in outcomes:
                        outcomes[key] = []
                    outcomes[key].append((bookmaker["title"], outcome["price"]))

        # 找出每项结果的最佳和最差赔率
        for outcome_name, odds_list in outcomes.items():
            if len(odds_list) < 2:
                continue

            best = max(odds_list, key=lambda x: x[1])
            worst = min(odds_list, key=lambda x: x[1])

            comparisons.append(OddsComparison(
                game=game_name,
                market="Moneyline",
                outcome=outcome_name,
                best_book=best[0],
                best_odds=best[1],
                worst_book=worst[0],
                worst_odds=worst[1],
                edge=round(best[1] - worst[1], 2)
            ))

    return sorted(comparisons, key=lambda x: x.edge, reverse=True)

# 使用示例
games = requests.get(f"{BASE_URL}/sports/basketball_nba/odds", params={
    "apiKey": API_KEY, "regions": "us", "markets": "h2h", "oddsFormat": "decimal"
}).json()

comparisons = find_best_odds(games)

print(f"{'Game':<40} {'Outcome':<20} {'Best Book':<15} {'Best':<8} {'Worst':<8} {'Edge':<6}")
print("-" * 100)
for c in comparisons[:10]:
    print(f"{c.game:<40} {c.outcome:<20} {c.best_book:<15} {c.best_odds:<8} {c.worst_odds:<8} {c.edge:<6}")

4. 检测套利机会

套利投注 (Arbitrage betting) 是指在不同博彩公司对同一赛事的所有结果进行投注，当赔率错位时可以锁定利润。

def find_arbitrage(games: list[dict]) -> list[dict]:
    opportunities = []

    for game in games:
        game_name = f"{game['away_team']} @ {game['home_team']}"

        # 在所有博彩公司中寻找每个结果的最佳赔率
        best_odds: dict[str, tuple[str, float]] = {}

        for bookmaker in game.get("bookmakers", []):
            for market in bookmaker.get("markets", []):
                if market["key"] != "h2h":
                    continue
                for outcome in market["outcomes"]:
                    name = outcome["name"]
                    decimal_odds = outcome["price"]

                    if name not in best_odds or decimal_odds > best_odds[name][1]:
                        best_odds[name] = (bookmaker["title"], decimal_odds)

        if len(best_odds) < 2:
            continue

        # 计算套利百分比
        # 如果 (1/赔率) 之和 < 1.0，则存在套利空间
        arb_sum = sum(1 / odds for _, odds in best_odds.values())

        if arb_sum < 1.0:
            profit_pct = round((1 - arb_sum) * 100, 2)
            opportunities.append({
                "game": game_name,
                "profit_pct": profit_pct,
                "bets": {
                    name: {"book": book, "odds": odds, "stake_pct": round((1/odds) / arb_sum * 100, 2)}
                    for name, (book, odds) in best_odds.items()
                }
            })

    return sorted(opportunities, key=lambda x: x["profit_pct"], reverse=True)

# 使用示例
arb_opps = find_arbitrage(games)

for opp in arb_opps:
    print(f"\nARBITRAGE: {opp['game']} ({opp['profit_pct']}% profit)")
    for outcome, details in opp["bets"].items():
        print(f"  Bet {outcome} on {details['book']} @ {details['odds']} ({details['stake_pct']}% of bankroll)")

5. 期望值 (EV) 计算器

计算一笔投注是否具有正期望值：

def american_to_decimal(american: int) -> float:
    """将美式赔率转换为欧式/十进制赔率。"""
    if american > 0:
        return (american / 100) + 1
    else:
        return (100 / abs(american)) + 1

def implied_probability(decimal_odds: float) -> float:
    """将十进制赔率转换为隐含概率。"""
    return 1 / decimal_odds

def expected_value(
    your_odds: int,
    fair_probability: float,
    stake: float = 100
) -> dict:
    """
    计算投注的期望值 (EV)。

    Args:
        your_odds: 你获得的美式赔率
        fair_probability: 你估算的真实概率 (0-1)
        stake: 投注金额
    """
    decimal = american_to_decimal(your_odds)
    profit = stake * (decimal - 1)
    loss = stake

    ev = (fair_probability * profit) - ((1 - fair_probability) * loss)
    ev_pct = ev / stake * 100

    return {
        "odds": your_odds,
        "decimal_odds": round(decimal, 3),
        "implied_prob": round(implied_probability(decimal) * 100, 1),
        "fair_prob": round(fair_probability * 100, 1),
        "expected_value": round(ev, 2),
        "ev_percentage": round(ev_pct, 2),
        "positive_ev": ev > 0
    }

# 示例：你认为 A 队有 55% 的胜率
# 博彩公司提供 +110 的美式赔率
result = expected_value(your_odds=110, fair_probability=0.55)

print(f"Odds: {result['odds']} (Decimal: {result['decimal_odds']})")
print(f"Implied probability: {result['implied_prob']}%")
print(f"Your estimated probability: {result['fair_prob']}%")
print(f"Expected value per $100: ${result['expected_value']}")
print(f"EV%: {result['ev_percentage']}%")
print(f"Positive EV bet: {'Yes' if result['positive_ev'] else 'No'}")

6. 构建实时赔率仪表板

这是一个 Next.js API 路由示例，用于向前端仪表板提供赔率数据：

// app/api/odds/route.ts
import { NextResponse } from "next/server";

const API_KEY = process.env.ODDS_API_KEY!;
const BASE_URL = "https://api.the-odds-api.com/v4";

// 缓存赔率 60 秒以遵守速率限制
let cache: { data: any; timestamp: number } | null = null;
const CACHE_TTL = 60 * 1000;

export async function GET(request: Request) {
  const { searchParams } = new URL(request.url);
  const sport = searchParams.get("sport") || "americanfootball_nfl";

  if (cache && Date.now() - cache.timestamp < CACHE_TTL) {
    return NextResponse.json(cache.data);
  }

  const params = new URLSearchParams({
    apiKey: API_KEY,
    regions: "us",
    markets: "h2h,spreads,totals",
    oddsFormat: "american",
  });

  const response = await fetch(`${BASE_URL}/sports/${sport}/odds?${params}`);

  if (!response.ok) {
    return NextResponse.json(
      { error: "Failed to fetch odds" },
      { status: response.status }
    );
  }

  const data = await response.json();

  cache = { data, timestamp: Date.now() };

  return NextResponse.json(data, {
    headers: {
      "Cache-Control": "public, s-maxage=60, stale-while-revalidate=30",
    },
  });
}

API 选择指南

根据以下因素选择适合你的 API：

维度	The Odds API	Sportradar	BetOdds	OddsJam
免费额度	500 次/月	仅试用	100 次/日	无
设置时长	5 分钟	数天 (需对接销售)	10 分钟	15 分钟
文档质量	极佳	良好	良好	良好
实时赔率	支持	支持	支持	支持
历史数据	付费方案支持	支持	有限支持	支持
球员特选盘	有限支持	极其广泛	不支持	支持
最适合	个人项目	企业级项目	对比工具	套利寻找

决策流程图

是在启动个人项目或 MVP 吗？
  -> The Odds API (提供免费额度，设置快速)

是在构建生产级别的博彩平台吗？
  -> Sportradar (企业级数据，官方合作伙伴关系)

是在构建赔率对比或套利工具吗？
  -> OddsJam 或 BetOdds (具备专业化功能)

只需要足球数据吗？
  -> API-Football (更便宜，专注于足球)

速率限制 (Rate Limiting) 最佳实践

无论选择哪个 API，都应实现适当的速率限制逻辑：

import time
from functools import wraps

class RateLimiter:
    def __init__(self, max_requests: int, window_seconds: int):
        self.max_requests = max_requests
        self.window = window_seconds
        self.requests: list[float] = []

    def wait_if_needed(self):
        now = time.time()
        self.requests = [r for r in self.requests if now - r < self.window]

        if len(self.requests) >= self.max_requests:
            sleep_time = self.window - (now - self.requests[0])
            print(f"Rate limit reached. Sleeping {sleep_time:.1f}s...")
            time.sleep(sleep_time)

        self.requests.append(time.time())

# 使用示例：每分钟 10 次请求
limiter = RateLimiter(max_requests=10, window_seconds=60)

def fetch_odds(sport: str):
    limiter.wait_if_needed()
    return requests.get(f"{BASE_URL}/sports/{sport}/odds", params={
        "apiKey": API_KEY, "regions": "us", "markets": "h2h"
    }).json()

结论

对于大多数刚起步的开发者来说，The Odds API 是最佳选择——它具有慷慨的免费额度、出色的文档，并覆盖了所有主流运动项目。随着应用规模的扩大，Sportradar 为企业级平台提供了最全面的数据。

无论你选择哪种 API，请务必从第一天起就实现合理的缓存机制和速率限制。赔率数据变动频繁，但对于大多数消费级应用来说，你很少需要亚秒级的更新频率。

如果你的体育平台需要 AI 生成的视觉内容——如自动生成的视频集锦、球员头像图像或动态图表——Hypereal AI 提供的 API 可用于生成 AI 图像和视频，利用极具吸引力的视觉内容来补充你的赔率数据。