Software Alternatives & Startups

OddScore.app VS FriendlyData

Compare OddScore.app VS FriendlyData and see what are their differences

OddScore.app

Track pre-match odds movements across bookmakers and understand market signals with AI-powered analysis for football, tennis, basketball and American football.

Rating
0 reviews
Pricing
Freemium Free trial
FriendlyData

Communicate with databases like a human

Rating
0 reviews

Which is more popular?

Sports popularity
100% vs 0%
alternatives listed
8 vs 16

Base details

Website, pricing, platforms and company facts side by side.

OddScore.app
FriendlyData
Website oddscore.app friendlydata.io
Pricing
Freemium Free trial
—
Company 1 - 9 employees · 2026 —
Listed in

About OddScore.app and FriendlyData

In their own words, as submitted to SaaSHub.

OddScore.app
FriendlyData

OddScore helps you follow what’s happening in the betting market before a match starts. It brings together odds from more than 100 bookmakers so you can track movements, compare prices and see how the market has evolved. If you’ve ever opened several bookmaker tabs to check whether an odd was...

Read more about OddScore.app

No description of FriendlyData yet.

Features and specs

What each product offers, as listed by its team.

OddScore.app 7 features
FriendlyData 3 features
  • Pre-match odds tracking
    Follow odds movements across more than 100 bookmakers before a match starts.
  • Signal Score
    Find markets worth a closer look with a score from 0 to 100 based on market signals.
  • AI market analysis
    Get an interpretation of market movements, bookmaker data and relevant pre-match news.
  • Final pre-match analysis
    Read the latest AI analysis 30 minutes before the match starts.
  • Odds history and charts
    See how odds have changed over time and compare movements across bookmakers.
  • Multiple sports
    Explore football, tennis, basketball, American football, baseball (MLB) and ice hockey (NHL) markets in one place.
  • Available in six languages
    Use OddScore in English, French, German, Spanish, Italian or Portuguese.
  • Ease of Use
    FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
  • Time-Saving
    By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
  • Integration
    FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

  • Complex Queries Limitation
    While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
  • Language Ambiguity
    Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
  • Dependency on Vendor
    Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
OddScore.app
FriendlyData
100% 100%
0% 0%
40% 40%
AI
60% 60%
0% 0%
100% 100%
100% 100%
0% 0%

Questions & Answers

As answered by people managing OddScore.app and FriendlyData.

Why should a person choose your product over its competitors?

OddScore.app's answer

It saves you a lot of checking between bookmaker websites. You get odds comparisons, historical charts, market signals and AI analysis in the same place. You can quickly scan the matches, then dig into the ones that interest you. There are free credits to try it, so you can see whether it fits the way you research your bets.

What makes your product unique?

OddScore.app's answer

OddScore brings together odds tracking and market analysis. You can follow movements across more than 100 bookmakers, see how they developed and use the Signal Score to find markets worth a closer look. The AI then adds context using market data and pre-match news, with a final analysis 30 minutes before the start. It gives you a way to explore what’s behind a movement before making your own decision.

How would you describe the primary audience of your product?

OddScore.app's answer

People who like to do their own research before placing a bet. They want to know how the odds have changed, whether other bookmakers are moving in the same direction and what might explain it. We cover football, tennis, basketball and American football, so it suits people who follow one sport closely as well as those who watch several markets.

What's the story behind your product?

OddScore.app's answer

The idea behind OddScore is simple: odds contain useful information, but following them across bookmakers takes time. We wanted to make that information easier to explore, with a clear history of what moved and analysis to help put it into context. We’re still a young product, and feedback from the people using it helps us decide what to improve and build next.

Which are the primary technologies used for building your product?

OddScore.app's answer

OddScore uses sports odds data feeds, automated market tracking and AI models for the written analysis. We store odds snapshots over time so users can explore how each market has changed. The platform is available on web and mobile, with payments handled through Stripe.

Who are some of the biggest customers of your product?

OddScore.app's answer

Our users are individual sports bettors rather than companies, so we don’t have a list of corporate customers to share. We’re growing through early users who try the platform, give us feedback and recommend it to others.

User comments

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Alternatives to OddScore.app and FriendlyData

When comparing OddScore.app and FriendlyData, you can also consider the following products.