适合开发者的最佳 Sports Betting Odds API (2026)
对比顶级体育赔率 (odds) API 的代码示例与价格定价
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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。
