Software Alternatives, Accelerators & Startups

GnuPlot VS PhantomStat

Compare GnuPlot VS PhantomStat and see what are their differences

GnuPlot logo GnuPlot

Gnuplot is a portable command-line driven interactive data and function plotting utility.

PhantomStat logo PhantomStat

Pro sports analytics for Football, MMA, MLB, NBA and Tennis โ€” xG, fatigue curves, and matchup tools most sites don't show.
  • GnuPlot Landing page
    Landing page //
    2022-12-13
  • PhantomStat PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis
    PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis //
    2026-07-21
  • PhantomStat Manchester City team analytics page โ€” free preview (xG, form, cards)
    Manchester City team analytics page โ€” free preview (xG, form, cards) //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full fatigue curve
    Jon Jones UFC fighter profile โ€” full fatigue curve //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player analytics page
    Carlos Alcaraz ATP tennis player analytics page //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Form Explorer (PTS threshold view)
    LeBron James NBA player page โ€” Form Explorer (PTS threshold view) //
    2026-07-31
  • PhantomStat Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match)
    Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match) //
    2026-07-31
  • PhantomStat St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart
    St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram
    LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro)
    Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro) //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %)
    Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %) //
    2026-07-31

PhantomStat is a sports analytics platform built for the gap between casual score sites and paywalled pro tools, covering five sports: football, MMA/UFC, MLB, NBA and tennis.

Football โ€” free preview pages for 1,230+ teams and 1,960+ players, with modules for Attack vs Defense (xG/shots/goals), Form Index & Rebound, Goal Geolocation Map, Cards Intelligence, Corner Mastery, Top Scorers Cross-Ref, Referee Tendency, Goalkeeper Weakness and Penalty Shot Tracker.

MMA/UFC โ€” 465+ fighters, 180+ analyzed fights. Free preview shows per-minute striking/grappling rates, KO Power and Cardio scores, a Performance Explorer (set any stat line, see how often the fighter clears it) and Opponent Level context. Pro unlocks the round-by-round Fatigue Curve and Strike Targets & Control breakdown.

MLB โ€” eight modules: Plate Discipline Lab, Statcast Quality Hub, Performance Spectrum, Situational Splits Matrix, Today's Matchup, Pitcher Arsenal, WAR Decomposition and a Similarity Engine.

NBA โ€” 30 teams, 500+ players, live matchups. Form Explorer across PTS/REB/AST/3PM/PRA, Opponent Defense, Rest/Back-to-Back splits, a Filter Engine and a multi-line threshold view.

Tennis โ€” career averages (win rate, holds/breaks serve, serve/return splits, aces, unforced errors, tiebreak% and deciding-set%) on every ATP player page.

Browsing is free with no signup. A free account adds saved watchlists and personalized dashboards; Pro unlocks the advanced modules sport-wide.

PhantomStat

$ Details
freemium $29.99 / Monthly (Pro)
Platforms
Web
Release Date
2026 June
Startup details
Country
France
State
Paris
City
paris
Employees
1 - 9

GnuPlot features and specs

  • Highly Customizable
    GnuPlot offers extensive customization options for creating plots, allowing users to tweak almost every aspect of the graph, including colors, labels, line styles, and more.
  • Scriptable
    GnuPlot can be driven by scripts, making it convenient for automating complex plots and integrating with other software workflows.
  • Wide Range of Output Formats
    It supports many output formats such as PNG, PDF, SVG, and EPS, making it easy to generate graphics for different purposes like presentations, publications, and web content.
  • Cross-Platform
    GnuPlot runs on multiple operating systems, including Windows, macOS, and Linux, ensuring that it can be used in diverse computing environments.
  • Complex Plotting Capabilities
    GnuPlot supports a wide variety of plots, including 2D and 3D plots, histograms, heatmaps, and more, which caters to the needs of advanced visualization requirements.
  • Performance
    GnuPlot is efficient and can handle large datasets with ease, offering fast rendering times which is crucial when dealing with complex visualizations.
  • Free and Open Source
    Being free and open-source software, GnuPlot is accessible to everyone, and users can modify the source code to suit their needs.

Possible disadvantages of GnuPlot

  • Steep Learning Curve
    GnuPlot has a complex syntax and a steep learning curve, especially for beginners who may find it difficult to get started without substantial effort.
  • Limited GUI
    GnuPlot lacks a full-featured graphical user interface (GUI), making it less user-friendly for those who prefer point-and-click interactions over scripting.
  • Documentation
    While comprehensive, the documentation can be overwhelming and difficult to navigate for new users trying to find specific information quickly.
  • Date Handling
    Handling and formatting dates can be cumbersome in GnuPlot, requiring more manual setup compared to other dedicated plotting tools.
  • Interactive Features
    GnuPlot's interactive plotting capabilities are limited compared to other modern plotting tools that offer more dynamic and real-time interactivity.
  • Integration
    Integration with some modern programming environments and languages may not be as seamless as with other plotting libraries specifically designed for those ecosystems (e.g., Matplotlib in Python).

PhantomStat features and specs

  • Soccer analytics
    xG, PSxGA, opponent shots on target and sliding form-window filters (last-5/last-10/season) on every soccer player and team page
  • MMA fatigue curves
    Round-by-round significant-strike fatigue curves, strike-target breakdown, and finish-rate profile for every active UFC fighter
  • MLB, NBA & tennis splits
    First-inning batter splits and daily matchup pages for MLB, opponent-defense splits for NBA, and serve/return breakdowns for tennis

Analysis of GnuPlot

Overall verdict

  • Gnuplot is generally considered to be a good choice for those looking for a reliable and flexible plotting tool, especially if the users need robust scriptability or work across different operating systems.

Why this product is good

  • Gnuplot is a powerful, portable, and multi-platform tool capable of producing high-quality 2D and 3D plots. It supports numerous output formats and can be used interactively or in scripts. Additionally, it has a large support community and extensive documentation, making it accessible for both beginners and advanced users.

Recommended for

  • Scientists and engineers who need to visualize data across diverse platforms.
  • Users comfortable working with command-line interfaces.
  • Individuals or teams needing to generate plots through automated scripts.
  • Those looking for a free and open-source alternative to other graphing tools.

GnuPlot videos

Gnuplot Introduction

More videos:

  • Review - DTrace Latency Visualization in gnuplot
  • Review - Basics of Gnuplot - Make your plot look Good

PhantomStat videos

No PhantomStat videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to GnuPlot and PhantomStat)
Technical Computing
100 100%
0% 0
Betting
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Data Analytics
0 0%
100% 100

Questions & Answers

As answered by people managing GnuPlot and PhantomStat.

What's the story behind your product?

PhantomStat's answer:

PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the analytics that go deeper are built for professionals and locked behind expensive tools. The goal was to put real per-entity detail โ€” xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis โ€” in front of any fan for free, with a paid Pro tier reserved for advanced filtering rather than for basic access to the numbers.

How would you describe the primary audience of your product?

PhantomStat's answer:

Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.

What makes your product unique?

PhantomStat's answer:

PhantomStat covers five sports in one platform โ€” football, MMA, MLB, NBA and tennis โ€” with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. Browsing is free with no signup required; a paid Pro tier ($29.99 / โ‚ฌ29.99 / ยฃ24.99 per month) unlocks advanced filtering and the full historical archive.

Why should a person choose your product over its competitors?

PhantomStat's answer:

Most single-sport score sites stop at the headline number, and most deep-analytics tools paywall everything before you can see anything. PhantomStat lets you browse every player, team, fighter and matchup page with no signup required, and covers five sports in one account (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport. Pages are built for search too โ€” SEO-friendly URLs mean a specific player or matchup is usually one search away.

User comments

Share your experience with using GnuPlot and PhantomStat. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, GnuPlot seems to be more popular. It has been mentiond 5 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.

GnuPlot mentions (5)

  • Question about Project Management
    To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 3 years ago
  • How do I make a transparent background on .ps or .eps file imported to groff
    Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago
  • Introducing Graphs
    Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago

PhantomStat mentions (0)

We have not tracked any mentions of PhantomStat yet. Tracking of PhantomStat recommendations started around Jul 2026.

What are some alternatives?

When comparing GnuPlot and PhantomStat, you can also consider the following products

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

SofaScore - Football live scores on SofaScore livescore from 600+ soccer leagues. Follow live results, statistics, league tables, fixtures and videos from Champions League.

GeoGebra CAS Calculator - Free online algebra calculator from GeoGebra: solve equations, expand and factor expressions, find derivatives and integrals

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

Dr. Geo - Dr. Geo, a software to design & manipulate interactive geometric sketches.

Giac/Xcas - Free computer algebra system