Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
FBPlot
FootyStats
FootyMetrics
SofaScore
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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.
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FBPlot's answer:
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.
FBPlot's answer:
-Independent football analysts -Football scouts and recruitment professionals -Football content creators -Sports journalists and media professionals
FBPlot's answer:
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's answer:
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's answer:
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's answer:
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.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 3 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
FootyStats - World's most in-depth Football Stats / Soccer Stats site. Over/Under, Corners, Match H2H, Tables, Results, HT/FT, Goals, Top Scorers, In-Play & more. We cover 350+ soccer competitions across the globe.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
FootyMetrics - Find betting edges in 115+ football leagues. Player trends, team trends, a props finder, fixture scout, referee stats, and live odds. All data-driven.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
SofaScore - Football live scores on SofaScore livescore from 600+ soccer leagues. Follow live results, statistics, league tables, fixtures and videos from Champions League.
