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PhantomStat VS Python Examples

Compare PhantomStat VS Python Examples and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

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.

Python Examples logo Python Examples

Python Examples covers Python Basics, String Operations, List Operations, Dictionaries, Files, Image Processing, Data Analytics and popular Python Modules.
  • 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.

A free account unlocks a quota of pages across every sport, plus saved watchlists and personalized dashboards; Pro unlocks the advanced modules sport-wide.

  • Python Examples Landing page
    Landing page //
    2023-08-27

Python Examples

This is a huge collection of Python Examples and Python Programs. Complete your Python Projects with the help of Python Code Examples that we present with lucid explanation.

In these Python Examples, we cover most of the regularly used Python Modules; Python Basics; Python String Operations, Array Operations, Dictionaries; Python File, Input & Output Operations; Python JSON Processing; Python GUI.

Python Examples โ€“ Module Wise

Python Basic Examples

  1. Python Basics
  2. Python Strings
  3. Python Lists
  4. Python Dictionary
  5. Python Files
  6. Python Logging
  7. Python SQLite
  8. Python OpenCV
  9. Python Pillow
  10. Python Pandas
  11. Python Numpy
  12. Python PyMongo

PhantomStat

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

Python Examples

Website
pythonexamples.org
$ Details
free
Platforms
Windows Mac OSX Linux Python
Release Date
2019 July
Edit details

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

Python Examples features and specs

  • Comprehensive Examples
    Python Examples provides a wide range of examples across different Python libraries and functionalities, which can be very beneficial for learners and practitioners looking for quick solutions or learning new techniques.
  • Ease of Access
    The website is user-friendly, making it easy for visitors to navigate through various topics and find the examples they need without much hassle.
  • Free Resource
    Python Examples is a free resource, making it an accessible tool for anyone wanting to learn Python without incurring additional costs.
  • Updated Content
    The site frequently updates its content to reflect changes and new features in Python, ensuring that users have access to up-to-date information.

Possible disadvantages of Python Examples

  • Limited Depth
    While the site offers many examples, these examples may sometimes lack the depth and detailed explanations necessary for complete beginners to fully understand the concepts.
  • No Interactive Learning
    The site primarily provides code snippets and text-based explanations, lacking interactive elements or exercises that can enhance the learning experience.
  • Inconsistent Detail
    Some sections may not be as detailed or comprehensive as others, leading to an inconsistent learning experience where users may find some topics more difficult to grasp without additional resources.
  • Dependency on External Sources
    For a more thorough understanding or in-depth tutorials, users might still need to refer to external resources such as books or other educational platforms.

Analysis of Python Examples

Overall verdict

  • Python Examples (pythonexamples.org) is a solid free resource for beginners and intermediate learners who want quick, practical code snippets to understand Python syntax and common programming tasks without wading through lengthy tutorials.

Why this product is good

  • Offers concise, ready-to-run code examples covering a wide range of Python topics and standard library functions
  • Free and accessible without requiring account registration
  • Organized by topic, making it easy to find examples for specific concepts like loops, strings, or file handling
  • Useful for quick reference when you need a syntax reminder or a working code snippet
  • Good supplementary resource alongside more in-depth tutorials or courses

Recommended for

  • Beginners learning Python syntax and basic programming concepts
  • Developers who need a quick code snippet or syntax reminder
  • Students working on coursework or assignments looking for example implementations
  • Self-taught programmers supplementing structured courses with practical examples
  • Anyone searching for straightforward, no-frills Python code samples

Category Popularity

0-100% (relative to PhantomStat and Python Examples)

PhantomStat

Python Examples

Sports
100 100%
Sports
0% 0
Python Tools
0 0%
Python Tools
100% 100
Betting
100 100%
Betting
0% 0
Text Editors
0 0%
Text Editors
100% 100

Questions & Answers

As answered by people managing PhantomStat and Python Examples.

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 tools that go deeper are built for professionals and priced for them. 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€” one page away for any fan, on a free account rather than an enterprise contract. The paid Pro tier at $29.99 per month adds the full dashboards, the advanced filters and the historical archive.

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. A free account unlocks a quota of pages across every sport; 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 are priced for professionals. PhantomStat covers five sports in one place (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport, and every player, team, fighter and matchup gets its own page rather than a row in a table. A free account unlocks a quota of those pages across every sport; the full dashboards, filters and comparison tools are $29.99 per month. Pages are built for search too โ€” SEO-friendly URLs mean a specific player or matchup is usually one search away.

User comments

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What are some alternatives?

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

LiveScore - Application that comes directly from LiveScore Ltd.

PythonAnywhere - Host, run, and code Python in the cloud: PythonAnywhere

Sport Eden - Sport Eden is a modern, web-based sports information platform that brings together real-time scores, match timelines, detailed statistics, and global league coverage into a single clean and fast interface.

Learn Python The Hard Way - One of the best guides to learn Python & coding in general

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

FotMob - The best LIVE-coverage available. News feed, tables and much more.

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