The NFL generates more betting volume than any other North American sport. From regular season moneylines to super bowl futures, the sheer variety of markets makes a reliable nfl api essential for developers building betting tools, dashboards, or prediction models. Whether you need pinnacle nfl odds for sharp line analysis or a broad nfl stats api for powering analytics, the right data source saves you months of work.
This guide breaks down every NFL betting market available through APIs, compares the top nfl data api providers on coverage and price, and includes a working Python example you can run today.
NFL Betting Markets Explained
NFL betting markets go well beyond picking a winner. Understanding what data each market produces helps you choose the right API endpoints and plan your database schema.
Moneyline
The simplest NFL bet: pick which team wins the game. The API returns odds for each team as a two-outcome market. A typical response includes the home team, away team, and a price for each from every bookmaker the provider covers. Moneyline odds shift throughout the week as injury reports, weather forecasts, and public betting patterns influence the line.
Point Spreads
Point spreads level the playing field between a favorite and an underdog. The API returns a handicap value (for example, -3.5 for the favorite) along with odds for each side. Spread data is critical for anyone building models around closing line value, since spreads are the most heavily bet NFL market and tend to be the most efficient.
Totals
Also called over/under, totals represent the combined score of both teams. The API returns a points threshold and odds for the over and under outcomes. Totals are useful for building correlation models since they often move in tandem with weather data and pace-of-play statistics.
Player Props
Player props let you bet on individual performance: passing yards, rushing touchdowns, receptions, and dozens of other stat categories. Not every API covers player props, and those that do often limit coverage to US-licensed sportsbooks. The Odds API, for instance, returns NFL player props from DraftKings, FanDuel, BetMGM, and other US books. Player prop data is especially valuable for DFS (daily fantasy sports) cross-referencing and same-game parlay builders.
Futures
Futures markets cover outcomes decided over a full season rather than a single game. Super bowl futures are the highest-profile example, with odds available year-round from the moment one championship ends. Conference winner, division winner, MVP, and season win totals are also common futures markets. Super bowl futures data from sharp books like Pinnacle gives modelers an implied probability baseline that reflects the sharpest money in the market.
After the Seahawks won Super Bowl LX in February 2026, sportsbooks immediately opened Super Bowl LXI futures with Seattle listed at around +800 at most major books. Tracking how these lines move throughout the offseason and regular season through an nfl api gives quantitative researchers a rich dataset for studying market efficiency.
Best APIs for NFL Data
Choosing the right provider depends on whether you need odds, stats, or both, and how much you are willing to spend.
The Odds API: Coverage and Pricing
The Odds API is the most popular choice for developers who primarily need odds data. It covers NFL moneyline, spreads, totals, and player props from over 40 bookmakers across the US, UK, EU, and Australia. That includes pinnacle nfl odds, DraftKings, FanDuel, BetMGM, Caesars, and Bet365 among others.
Pricing is straightforward and credit-based:
- Free tier: 500 requests per month, all sports, all markets
- 20K plan: $30/month for 20,000 requests
- 100K plan: $59/month for 100,000 requests
- 5M plan: $119/month for 5 million requests
- 15M plan: $249/month for 15 million requests
All plans include access to historical odds data going back to mid-2020 for NFL featured markets. The free tier is generous enough to prototype a project, while the 100K plan covers most production dashboards polling odds a few times per minute during game windows.
For a broader comparison of odds providers, see Best Sports Betting APIs Compared (2026).
SportsData.io: Coverage and Pricing
SportsData.io is the go-to nfl stats api for developers who need more than just odds. Their NFL API includes scores, schedules, standings, player stats, depth charts, injury reports, projections, news feeds, and odds. They offer over 30 distinct NFL endpoints covering both the regular season and playoffs.
The free trial gives full access to every endpoint and league, but the data is scrambled for demonstration purposes. Live, accurate data requires a paid plan. SportsData.io does not publicly list pricing, so you need to contact their sales team. Based on industry benchmarks, expect plans starting around $50 to $100 per month for a single sport.
The strength of SportsData.io is combining stats and odds in a single provider, which simplifies your architecture when building a comprehensive nfl data api integration.
ESPN API: Coverage and Pricing
ESPN does not offer an official public API for general use, but their site API endpoints are publicly accessible and return JSON data without authentication. Community-maintained documentation on GitHub catalogs dozens of NFL endpoints covering scores, schedules, rosters, standings, play-by-play data, and basic odds.
The price is free, but there are significant trade-offs. There are no published rate limits (excessive requests may be blocked), no guaranteed uptime SLA, no official support, and the endpoints can change without notice. ESPN is best used for hobbyist projects, research, and supplementary stats data rather than production betting applications.
For a more in-depth look at combining free APIs with paid providers, see Sports Betting API: The Complete Guide for Developers and Bettors.
Sportradar: Coverage and Pricing
Sportradar is the enterprise-grade option. As the official data partner of the NFL, their API provides the deepest coverage available: full play-by-play for every game, real-time statistics collected by in-house operators, and detailed historical archives. The current NFL API version is v7 with over 30 feeds covering schedules, rosters, standings, game statistics, player profiles, seasonal stats, and draft data.
Pricing is not publicly listed but typically starts at $500 to $1,000+ per month, making it suitable for well-funded startups, media companies, and sportsbook operators rather than individual developers. A 30-day free trial is available for evaluation. Data comes in JSON or XML format via RESTful endpoints.
Data Available via API
Regardless of which provider you choose, NFL odds APIs generally expose four categories of data.
Pre-Match Odds and Lines
Pre-match data includes opening lines, current lines, and odds from multiple bookmakers. Most APIs update pre-match NFL odds every 30 to 60 seconds during active betting periods. You can typically filter by market type (moneyline, spreads, totals) and by bookmaker region (US, UK, EU, AU). This is the bread-and-butter data for odds comparison tools.
Live/In-Play Odds
Live odds update during games and reflect real-time scoring, field position, and game state. Latency varies by provider. Aggregators like The Odds API update odds every few seconds by polling bookmaker feeds. Dedicated real-time providers like OpticOdds and OddsJam process over a million odds per second and can deliver sub-second updates via WebSocket streams. If your use case is displaying odds on a comparison website, polling every 5 to 10 seconds is sufficient. For algorithmic trading or arbitrage detection, you need a push-based stream.
Historical Odds Data
Historical NFL odds let you backtest betting strategies, study closing line movement, and train prediction models. The Odds API offers historical data from mid-2020 onward for featured NFL markets. Sportradar and SportsData.io maintain deeper archives. When evaluating providers for historical data, check whether they store opening odds, closing odds, or full line movement history, since each serves different analytical purposes.
Player and Team Statistics
A standalone odds API may not include detailed stats. If you need passing yards, rushing attempts, defensive efficiency ratings, or advanced metrics like EPA (expected points added), pair an odds provider with a dedicated nfl stats api. SportsData.io, Sportradar, and the free ESPN endpoints all cover these stat categories. Combining odds and stats in a single pipeline is the foundation for any serious NFL prediction model.
Code Example: Fetch NFL Odds with Python
This example uses The Odds API, which has the most accessible free tier for getting started.
Setup and Authentication
Sign up at the-odds-api.com to get a free API key. The free plan gives you 500 requests per month, which is enough to experiment and build a prototype.
Install the requests library if you do not already have it:
pip install requestsFetching Current Odds
import requests
API_KEY = "YOUR_API_KEY"
SPORT = "americanfootball_nfl"
REGIONS = "us"
MARKETS = "h2h,spreads,totals"
ODDS_FORMAT = "american"
url = f"https://api.the-odds-api.com/v4/sports/{SPORT}/odds"
params = {
"apiKey": API_KEY,
"regions": REGIONS,
"markets": MARKETS,
"oddsFormat": ODDS_FORMAT,
}
response = requests.get(url, params=params)
data = response.json()
# Check remaining API credits
remaining = response.headers.get("x-requests-remaining")
print(f"Requests remaining: {remaining}")
print(f"Games returned: {len(data)}")This single call returns every upcoming NFL game along with moneyline, spread, and totals odds from all US bookmakers.
Parsing the Response
The response is a JSON array of game objects. Each game contains a list of bookmakers, and each bookmaker contains a list of markets with outcomes:
for game in data:
home = game["home_team"]
away = game["away_team"]
kickoff = game["commence_time"]
print(f"\n{away} @ {home} - {kickoff}")
for bookmaker in game["bookmakers"]:
book_name = bookmaker["title"]
for market in bookmaker["markets"]:
if market["key"] == "spreads":
for outcome in market["outcomes"]:
team = outcome["name"]
point = outcome.get("point", "")
price = outcome["price"]
print(f" {book_name}: {team} {point} ({price})")This prints spread lines from every US bookmaker for each game, giving you the raw data needed for an odds comparison tool. You can adapt the market["key"] filter to h2h for moneylines or totals for over/under lines.
To fetch super bowl futures or other outright markets, change the MARKETS parameter to outrights and use the sport key americanfootball_nfl_super_bowl_winner.
Use Cases
Once you have NFL odds flowing into your application, here are the most common things developers build.
Building a Betting Dashboard
A betting dashboard displays current lines, tracks line movement over time, and highlights games where the odds have shifted significantly. The API data feeds directly into a frontend via a lightweight backend that polls for updates. Most dashboards store each odds snapshot in a database so users can view historical line charts alongside the current number.
Odds Comparison Tool
An odds comparison tool shows the best available line across multiple bookmakers for every game. This is one of the highest-value applications of an nfl api because it helps bettors find the best price instantly. The core logic is straightforward: fetch odds from all bookmakers, group by game and market, and sort to surface the best line. For a step-by-step tutorial, see Odds Comparison API: Build Your Own Odds Screener.
Prediction Models and Analytics
NFL prediction models combine odds data with team and player statistics to forecast game outcomes. Odds data provides the market-implied probability, which serves as a strong baseline. If your model consistently identifies edges over the closing line, you have a genuinely predictive system. The workflow typically involves pulling pre-match odds and stats into a training dataset, fitting a model (logistic regression, gradient boosting, or neural networks), and backtesting against historical closing lines.
FAQ
What is the best free NFL API?
The Odds API offers the most practical free tier for NFL odds with 500 monthly requests covering all markets and bookmakers. For NFL stats without odds, the ESPN hidden API endpoints are completely free and require no authentication, though they lack official support and can change without warning. The BallDontLie API is another free option covering NFL scores and basic stats.
How often do NFL odds update?
NFL odds update continuously during active betting periods. Pre-match lines typically move several times per day as new information emerges (injury reports, weather changes, betting volume shifts). During live games, odds update every few seconds. Most API providers refresh their data every 30 to 60 seconds for pre-match markets, while dedicated real-time feeds can deliver updates in under one second.
Can I get historical NFL odds data?
Yes. The Odds API provides historical NFL odds from mid-2020 onward, covering moneylines, spreads, and totals. Sportradar and SportsData.io maintain deeper archives going back multiple seasons. Historical data is essential for backtesting betting strategies, training prediction models, and studying line movement patterns. When choosing a provider, check whether they store opening lines, closing lines, or full timestamped line movement, as each serves a different analytical purpose.