The Mobile Games Dataset is a meticulously curated collection of 100+ top-rated mobile games spanning various genres. This dataset provides a valuable resource for game developers, researchers, and enthusiasts interested in exploring trends and patterns within the mobile gaming industry. Each entry includes the game name, developer, genre, and rating, offering a comprehensive overview of some of the most popular and critically acclaimed mobile games available today.

Column Descriptions:

• Game Name: The title of the mobile game.

  • Type: String
  • Example: "Candy Crush Saga"

• Developer: The name of the company or individual who developed the game.

  • Type: String
  • Example: "King"

• Genre: The category or type of game, indicating the primary gameplay mechanics.

  • Type: String
  • Example: "Puzzle"

• Rating: The average user rating of the game, typically on a scale from 1 to 5.

  • Type: Float
  • Example: 4.6

Cross-sectional survey of individuals aged 16–25 residing in Spain (n = 1,000), fielded in June 2025. The dataset captures demographics, gaming practices, exposure to gamblified mechanics (e.g., loot boxes, randomized rewards, time-limited offers), spending bands, emotional responses, and perceptions among non-players.The survey questionnaire (available as related material) consists of three sections: 1) sociodemographic data; 2) gamers (n=927); and 3) non-gamers (n=73). To distinguish between gamers and non-gamers, a filter question was placed at the end of section 1 (“Do you regularly play video games, mobile games, or digital games?”).The first section collects information on: sex/gender, municipality of residence, province/community of residence according to Nielsen area, size of municipality of residence, level of education completed, and current employment status.Block two collects information on estimated weekly hours of play, the device usually used, estimated monthly money spent on video games, and the two most played games. It also includes five-point Likert scale questions (disagree/agree) on issues related to random mechanisms, payments, or gaming habits.The third section repeats the same pattern of five-point Likert scale questions (disagree/agree) but from the perspective of non-video game players.

Comprehensive YouTube channel statistics for Mobile Gamer Brasil, featuring 127,000 subscribers and 18,810,094 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in BR. Track 570 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Gaming Mobile, featuring 414,000 subscribers and 144,580,545 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in VN. Track 4,471 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Date - The date when the gaming session took place.

Session_Duration - The total time (typically measured in minutes or hours) that the player spent in the game during that session.

Game_Mode - The type of game mode played during the session (for example: Capture the Flag, Battle Royale, Team Deathmatch, or Search & Destroy).

Total_Matches - The total number of matches or rounds the player participated in during the session.

Wins - The number of matches that the player won during the session.

Losses - The number of matches that the player lost during the session.

Kill_Death_Ratio - The ratio of kills to deaths achieved by the player. It measures performance efficiency, where a higher ratio indicates better performance.

Average_Score - The average score the player achieved per match during the session.

Accuracy_% - The percentage of successful shots (hits) compared to the total shots fired by the player during the session.

Money_Spent - The total amount of real-world money spent during the session, often for purchasing in-game items, skins, or upgrades.

In_Game_Purchases - The number of in-game items purchased, whether using in-game currency or real money.

Subscription_Status - Indicates whether the player had an active subscription (such as a battle pass or premium membership) during the session. Typically noted as "Active" or "Inactive".

Friends_Playing - The number of the player’s friends who were online and playing at the same time during the session.

Average_FPS - The average frames per second (FPS) experienced by the player, reflecting the smoothness of game performance.

Latency_ms The average network latency (or ping) measured in milliseconds during the session. Lower latency generally means a smoother online gaming experience.

Device_Type - The type of device the player used during the session, such as PC or Mobile.

As of 2025, puzzle games had the overall shortest time between installation and first purchase across mobile operating systems. On Android, the time to first purchase was 1.6 days after installation, compared to 1.7 days on iOS. The largest discrepancy occurred with match games, with only 1.7 days between installation and first purchase on iOS compared to three days on Android.

Children’s demographic characteristics and online risks by gaming preferences.

Comprehensive YouTube channel statistics for Android Games TOP, featuring 140,000 subscribers and 57,375,887 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in US. Track 2,201 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Segments based on users' interests, purchase intentions or demography. Contact us to check all the possibilities: team@oan.pl

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

In July 2025, total video games sales in the United States amounted to **** billion U.S. dollars, representing a five percent year-over-year increase. Generally speaking, the video game industry has its most important months in November and December, as video game software and hardware make very popular Christmas gifts. In December 2024, total U.S. video game sales surpassed **** billion U.S. dollars. Birth of the video game industry Although the largest regional market in terms of sales, as well as number of gamers, is Asia Pacific, the United States is also an important player within the global video games industry. In fact, many consider the United States as the birthplace of gaming as we know it today, fueled by the arcade game fever in the ’60s and the introduction of the first personal computers and home gaming consoles in the ‘70s. Furthermore, the children of those eras are the game developers and game players of today, the ones who have driven the movement for better software solutions, better graphics, better sound and more advanced interaction not only for video games, but also for computers and communication technologies of today. An ever-changing market However, the video game industry in the United States is not only growing, it is also changing in many ways. Due to increased internet accessibility and development of technologies, more and more players are switching from single-player console or PC video games towards multiplayer games, as well as social networking games and last, but not least, mobile games, which are gaining tremendous popularity around the world. This can be evidenced in the fact that mobile games accounted for ** percent of the revenue of the games market worldwide, ahead of both console games and downloaded or boxed PC games.

Children’s demographic characteristics and online risks by region and urban/rural areas.

This Gaming & Entertainment Intelligence dataset delivers granular, session-level behavioral data from over 110 million consented users across APAC, derived from AI-powered mobile applications. It enables game developers, publishers, OTT platforms, and Esports companies to understand player habits, preferences, and competitive trends in real-time.

🔍 Key Insights Included: • App & Game Usage Behavior: Session-level frequency, duration, and engagement depth across mobile games and entertainment apps. • Genre Affinity & Player Segmentation: Identify casual, mid-core, or hardcore players; score user affinity across 20+ gaming genres. • Device Intelligence: RAM, OS version, and device manufacturer to estimate spend potential and gameplay capability. • Location & Demographic Indicators: Region, city, and language for audience localization and creative optimization. • Intent & Retention Signals: Pre-install interest, churn risk, and user migration across competitor titles.

🕹️ Core Use Cases: • User Acquisition Optimization – Build high-LTV lookalike audiences, target competitive or genre-specific segments. • Churn Prediction & Re-Engagement – Identify disengaged players early and retarget them intelligently. • Competitive Benchmarking – Track market share, player overlap, and cross-game engagement trends. • Monetization Optimization – Estimate IAP (In-App Purchase) propensity and ad tolerance through engagement metrics. • Cross-Promotion & Expansion – Identify OTT or entertainment app users likely to convert into gamers. • Genre & IP Testing – Target audiences aligned with new titles or franchises (e.g., Marvel fans for superhero games).

📦 Data Delivery & Products: • Gaming Audience Builder – Pre-built and custom segments (RPG, puzzle, sports, etc.) for ad targeting. • Churn Risk Scoring API – Predict player churn and engagement probability. • Competitive Intelligence Dashboard – Benchmark performance and monitor emerging trends. • Genre Affinity Scoring – Classify users by preferred game type for recommendation or personalization. • Beta Tester Recruitment – Identify and engage high-activity users for early access testing.

🏆 Competitive Advantages: • Cross-App Visibility: Captures both gaming and entertainment app behaviors. • Pre-Install Insights: Detects interest before user acquisition. • Session-Level Granularity: Real-time data, refreshed daily. • Device + Behavior Correlation: Predict IAP likelihood and ad sensitivity.

🏭 Industries Served: • Gaming & Esports – Player engagement, retention, monetization. • OTT & Streaming Platforms – Audience overlap and cross-promotion targeting. • AdTech & Media Agencies – Gamer audience segmentation and reach analysis. • Consumer Electronics – Target users based on device capability and gaming interest. • Market Research & Analytics Firms – Genre trends, user affinity, and market share insights.

Comprehensive YouTube channel statistics for Mobile Games Play, featuring 376,000 subscribers and 257,140,426 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in TR. Track 2,355 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Esports Performance Rankings and Results

Performance Rankings and Results from Multiple Esports Platforms

By [source]

About this dataset

This dataset provides a detailed look into the world of competitive video gaming in universities. It covers a wide range of topics, from performance rankings and results across multiple esports platforms to the individual team and university rankings within each tournament. With an incredible wealth of data, fans can discover statistics on their favorite teams or explore the challenges placed upon university gamers as they battle it out to be the best. Dive into the information provided and get an inside view into the world of collegiate esports tournaments as you assess all things from Match ID, Team 1, University affiliations, Points earned or lost in each match and special Seeds or UniSeeds for exceptional teams. Of course don't forget about exploring all the great Team Names along with their corresponding websites for further details on stats across tournaments!

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Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

Download Files First, make sure you have downloaded the CS_week1, CS_week2, CS_week3 and seeds datasets on Kaggle. You will also need to download the currentRankings file for each week of competition. All files should be saved using their originally assigned name in order for your analysis tools to read them properly (ie: CS_week1.csv).

Understand File Structure Once all data has been collected and organized into separate files on your desktop/laptop computer/mobile device/etc., it's time to become familiar with what type of information is included in each file. The main folder contains three main data files: week1-3 and seedings. The week1-3 contain teams matched against one another according to university, point score from match results as well as team name and website URL associated with university entry; whereas the seedings include a ranking system amongst university entries which are accompanied by information regarding team names, website URLs etc.. Furthermore, there is additional file featured which contains currentRankings scores for each individual player/teams for an first given period of competition (ie: first week).

Analyzing Data Now that everything is set up on your end it’s time explore! You can dive deep into trends amongst universities or individual players in regards to specific match performances or standings overall throughout weeks of competition etc… Furthermore you may also jumpstart insights via further creation of graphs based off compiled date from sources taken from BUECTracker dataset! For example let us say we wanted compare two universities- let's say Harvard University v Cornell University - against one another since beginning of event i we shall extract respective points(column),dates(column)(found under result tab) ,regions(csilluminating North America vs Europe etc)general stats such as maps played etc.. As well any other custom ideas which would come along in regards when dealing with similar datasets!

Research Ideas

• Analyze the performance of teams and identify areas for improvement for better performance in future competitions.
• Assess which esports platforms are the most popular among gamers.
• Gain a better understanding of player rankings across different regions, based on rankings system, to create targeted strategies that could boost individual players' scoring potential or team overall success in competitive gaming events

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: CS_week1.csv | Column name | Description | |:---------------|:----------------------------------------------| | Match ID | Unique identifier for each match. (Integer) | | Team 1 | Name of the first team in the match. (String) | | University | University associated with the team. (String) |

File: CS_week1_currentRankings.csv | Column name | Description | |:--------------|:-----------------------------------------------------------|...

In June 2025, Roblox was the most-downloaded gaming app in the Google Play Store worldwide. The creative gaming platform generated more than 21.28 million downloads from Android users. Block Blast! was the second-most popular gaming app title with approximately 19.9 million downloads from global users.

Apple App Store Key StatisticsApps & Games in the Apple App StoreApps in the Apple App StoreGames in the Apple App StoreMost Popular Apple App Store CategoriesPaid vs Free Apps in Apple App...

BackgroundThis study aimed to explore the adverse influences of mobile phone usage on pilots’ status, so as to improve flight safety.MethodsA questionnaire was designed, and a cluster random sampling method was adopted. Pilots of Shandong Airlines were investigated on the use of mobile phones. The data was analyzed by frequency statistics, linear regression and other statistical methods.ResultsA total of 340 questionnaires were distributed and 317 were returned, 315 of which were valid. The results showed that 239 pilots (75.87%) used mobile phones as the main means of entertainment in their leisure time. There was a significant negative correlation between age of pilots and playing mobile games (p

Comprehensive ranking dataset of the top 100 YouTube channels in the Gaming category. This dataset features 100 channels with detailed statistics including subscriber counts, total video views, video count, and global rankings. The leading channel has 110,000,000 subscribers and 29,436,109,895 total views. Each entry includes comprehensive metrics to analyze channel performance, growth trends, and competitive positioning. This dataset is regularly updated to reflect the latest YouTube channel statistics and ranking changes, providing valuable insights for content creators, marketers, and researchers analyzing YouTube ecosystem trends and channel performance benchmarks.

📊 Play Market 2025 - 1M Reviews, 550+ Titles

This dataset provides cleaned and structured data from the Google Play Market, featuring over 1 million user reviews, detailed metadata for 335 games and 217 applications, and processed fields for advanced analysis.

🧾 Dataset Contents

apps_info.csv

Metadata for mobile applications, including: - app_id: Unique identifier - app_name: Name of the app - description: Cleaned full description - score: Average user rating (0–5) - ratings_count: The number of people who rated the app(int) - downloads: Download count (int) - content_rating: Audience rating (e.g., Everyone, Teen) - section: App section/category - categories: Comma-separated genre tags

apps_reviews.csv

User review data for apps: - app_id: Links to apps_info.csv - review_text: Cleaned review text - review_score: Star rating (1–5) - review_date: Standardized timestamp - helpful_count: Upvote count for review

games_info.csv

Metadata for mobile games, including: - game_id: Unique identifier - game_name: Name of the game - description: Cleaned full description - score: Average user rating (0–5) - ratings_count: The number of people who rated the game (int) - downloads: Download count (int) - content_rating: Audience rating - section: Game section/category - categories: Comma-separated genre tags

games_reviews.csv

User review data for games: - game_id: Links to games_info.csv - review_text: Cleaned review text - review_score: Star rating (1–5) - review_date: Standardized timestamp - helpful_count: Upvote count for review

📦 Dataset Summary

• 🧠 Cleaned and ready-to-use for NLP, sentiment analysis, or recommendation systems
• 🧩 Multi-source: Games and Apps handled separately
• 📅 Temporal component: All reviews include review dates

🔢 Statistics

• 📦 Applications: 217
• 📦 Games: 335
• ✍️ Total Reviews: 1,000,000+

Data was collected from publicly accessible Google Play user reviews for educational and research purposes. All personal information was removed. Not intended for commercial use

Title: Mobile Legends: Bang Bang Tournament - Games of the Future 2024

Introduction: Games of the Future 2024 hosts an international esports tournament featuring Mobile Legends: Bang Bang. This event brings together top teams from around the world to compete for glory and a substantial prize pool.

Format: - Group Stage (February 26th - 27th, 2024): - Four groups, each containing four teams, compete in a modified GSL format. - All matches are Best of 3 (Bo3). - Advancement: Top team from each group proceeds to the 2nd stage playoffs; the next two teams advance to the 1st stage playoffs; bottom team in each group is eliminated.

• Playoffs (February 28th - March 2nd, 2024):
  • Single-elimination bracket.
  • All matches are Bo3, except for the Grand Final, which is a Best of 5 (Bo5).

Data Description:

• Match Results:

  • The dataset includes details of each match, including the date, stage, match number, participating teams, banned heroes, role bans, role picks, players' names, hero picks, MVP selection, match duration, spells used, talents chosen, K/D/A (Kill/Death/Assist) stats, gold earned, ratings, medals awarded, player levels, and win/loss outcome. The data is manually scraped from YouTube match videos and supplemented with information from Liquipedia. It is intended for educational purposes only.

• Heroes Data:

  • Information on all heroes available in the tournament, including their attributes, skills, and statistics. This data allows for analysis of hero popularity, win rates, and strategic choices.

• Item Data:

  • Details of all in-game items that players can purchase during matches. Understanding item usage patterns and effectiveness can provide insights into team strategies and gameplay dynamics.

• Emblem Data:

  • Data regarding emblems, which provide additional bonuses and abilities to players during matches. Analysis of emblem selections can reveal preferred playstyles and strategic preferences among teams and players.

Prize Pool: - $1,000,000 USD prize pool distributed as follows:

Conclusion: Mobile Legends: Bang Bang Tournament at Games of the Future 2024 promises intense battles and fierce competition among elite teams. With substantial rewards and a prestigious format, this event is set to captivate esports enthusiasts worldwide.