FBPlot is a football data visualization and player analysis platform for creating professional, customizable football charts.
Compare players across 80+ performance metrics and visualize the results using radar, pizza, scatter, bar and swarm charts. Metrics can be analyzed as absolute values, per 90, percentiles or contribution to the player's team.
Charts can be customized with colors, typography, backgrounds and other visual settings, then exported as high-resolution PNG images for scouting reports, presentations, media and social content.
FBPlot is built for football analysts, scouts, journalists, content creators and fans. A free plan provides access to the Top 5 European leagues, while Pro unlocks all available leagues and competitions.
A startup from Spain.
Player Comparison
Compare players across seasons, leagues and positions
80+ Football Metrics
Analyze attacking, passing, defending, possession and goalkeeping stats
Custom Branding
Personalize charts for reports and social media
Radar charts
Compare up to 3 players visually
Pizza charts
Build single-player visual performance profiles
Scatter plots
Discover trends and outliers across player groups
FBPlot is built as a modern web application with a lightweight data architecture optimized for football analytics. Its infrastructure includes SQLite for football data storage and querying, Cloudflare R2 for object storage and CDN delivery, and OVH infrastructure with Coolify for deployment and application management.
-Independent football analysts -Football scouts and recruitment professionals -Football content creators -Sports journalists and media professionals
FBPlot combines football player data analysis and professional data visualization in a single tool. Instead of simply displaying statistics, it lets users decide how players should be evaluated โ using per-90 values, absolute values, percentiles, performance relative to the best player, or contribution to their team โ and turn the analysis directly into customizable, publication-ready charts.
FBPlot is designed specifically for football analysis rather than being a generic visualization or live-score platform. Users can explore player data, choose meaningful comparison cohorts, combine metrics and create radar, pizza, scatter, bar and swarm visualizations without exporting data to another application. It is particularly useful when both the analysis and the final presentation of the data matter.
FBPlot is primarily designed for football analysts, scouts, recruitment professionals, journalists, content creators and data-driven football fans. It is especially useful for people who need to compare players, investigate performance profiles or communicate football data through clear visualizations.
FBPlot started as an independent project to make football data analysis easier to explore and communicate. Many football statistics platforms are good at providing data, while general visualization tools are good at creating charts, but using both often requires exporting data and building visualizations manually. FBPlot was created to bring those two workflows together: explore football data, analyze players and create professional visualizations from the same platform.
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Check the traffic stats of FBPlot on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of FBPlot on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of FBPlot's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of FBPlot on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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