Fortnite Player Performance

Understanding Player Performance with Granular Data

By Kristian Reynolds [source]

About this dataset

This dataset contains 88 end-game Fortnite statistics, giving a comprehensive look at player performance over the course of 80 games. Discover the time of day, date, mental state and more that contribute to winning strategies! Measure success across eliminations, assists, revives, accuracy percentage, hits scored and head shots landed. Explore distance traveled and materials gathered or used to gauge efficiency while playing. Examine damage taken versus damage dealt to other players and structures alike. Use this data to reveal peak performance trends in Fortnite gameplay

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset is a great resource for analyzing and tracking the performance of Fortnite players. It contains 88 end game stats that provide insights into player performance, such as eliminations, assists and revives. This dataset can help you gain a better understanding of your own performance or another player’s overall effectiveness in the game.

• Analyzing Performance: This dataset can be used to analyze your own or other players’ overall performance in Fortnite across multiple games by looking at statistics like eliminations, assists, revives and head shots (by looking at comparisons between different games).
• Tracking Performance: The dataset also has valuable data that enables you to track any changes in performance over time since it includes data on when the games were played (Date) as well as when they ended (Time of Day). This can be used to measure progress or stagnation in your play over time by comparing different stats like accuracy and distance traveled per game.
• Improving Performance: By combining this data with other information about gear and character builds, one can use this information to look for patterns between successful playstyles across multiple matches or build an optimal loadout for their particular playstyle preferences or intentions see what works best their intended approach

Research Ideas

• Using this dataset to develop player performance indicators that can be used to compare players across games. The indicators can measure each player's ability in terms of eliminations, assists, headshots accuracy and other data points.
• Establishing correlations between the mental state and performance level of a player by analyzing how their stats vary before and after playing under different mental states.
• Analyzing the relationship between overall game performance (such as placement) and specific statistics (such as materials gathered or damage taken). This could provide useful insights into what aspects of gameplay are more important for high-level play in Fortnite

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Fortnite Statistics.csv | Column name | Description | |:-------------------------|:--------------------------------------------------------------| | Date | Date of the game. (Date) | | Time of Day | Time of day the game was played. (Time) | | Placed | Player's placement in the game. (Integer) | | Mental State | Player's mental state during the game. (String) | | Eliminations | Number of eliminations the player achieved. (Integer) | | Assists | Number of assists the player achieved. (Integer) | | Revives | Number of revives the player achieved. (Integer) | | Accuracy | Player's accuracy in the game. (Float) | | Hits ...

Dataset

This dataset was created by RushabhWadkar

Released under Data files © Original Authors

Contents

Context

I'm a Junior Data Engineer and a Fortnite player, I wanted to make a fun project about fortnite, but I didn't find any dataset on kaggle, so I told my self why don't I make one.

Content

In this dataset there is 5 game modes (Solo, Duo, Trios. Squads and ltm) each have: Score: total score. top1: total wins. kd : kill/death ratio. WinRatio: win ratio. matches: number of matches played. kills: number of eliminations made. minutesPlayed: total number of minutes spent.

Data was collected during season 6 chapter 2 (4/2021)

Acknowledgements

I collected the data using the fortnite tracker API from the tracker network website (https://tracker.gg/).

Gameplay Images

A dataset from kaggle. This is a dataset of 10 very famous video games in the world. These include

Among Us Apex Legends Fortnite Forza Horizon Free Fire Genshin Impact God of War Minecraft Roblox Terraria

There are 1000 images per class and all are sized 640 x 360. They are in the .png format. This Dataset was made by saving frames every few seconds from famous gameplay videos on Youtube. ※ This dataset was uploaded in January 2022. Game content updated after that… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/Gameplay_Images.

Dataset

This dataset was created by HAROONKHAN

Contents

Dataset

This dataset was created by Alpaaa

Contents

(1) Introduction

In this work, we want to collect network telemetry data related to Cloud Gaming applications. The objective is that the data collected can be analyzed, compared and useful to create solutions to improve the QoE of this type of service.

(2) Content

This dataset currently contain network telemetry data related to 3 different games played with the Xbox Cloud Gaming service. The games are: - Fortnite (Zero Build game mode) - Forza Horizon 5 - Mortal Kombat 11 (Offline mode)

For each game, many experiments of 15 minutes of gameplay were done, with 1 or 2 players connected. It was collected Packet Captures (PCAP).

Dataset is divided by type of connection (5G and wired), by games, and by number of players (1 or 2).

(3) Methodology

Games were played using laptops with Chrome browser. To collect the data, it was used a Raspberry Pi with P4Pi platform installed on it. P4Pi system is a Linux like, and can run tshark, so we used it to collect PCAPs in every experiment. Experiments were made using two different connections: 5G and wired. Data was collected on Centro Universitário Facens (for 5G connection) and Federal University of São Carlos - Sorocaba campus (for wired connection). In the following figure is represented our setup.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18694461%2Fcc611fa6106a88e1640042b279ed5e04%2FUntitled%20presentation.png?generation=1711490000766201&alt=media" alt="">

(4) Data catalog

Experiement	Game	Connection	Number of Players
Ex35	Fortnite	5G	1 Player
Ex39	Fortnite	5G	2 Players
Ex37	Forza Horizon 5	5G	1 Player
Ex40	Forza Horizon 5	5G	2 Players
Ex38	Mortal Kombat 11	5G	1 Player
Ex7	Fortnite	Wired	1 Player
Ex19	Fortnite	Wired	1 Player
Ex20	Fortnite	Wired	1 Player
Ex21	Fortnite	Wired	2 Players
Ex22	Fortnite	Wired	2 Players
Ex23	Fortnite	Wired	2 Players
Ex8	Forza Horizon 5	Wired	1 Player
Ex10	Forza Horizon 5	Wired	1 Player
Ex11	Forza Horizon 5	Wired	1 Player
Ex29	Forza Horizon 5	Wired	1 Player
Ex15	Forza Horizon 5	Wired	2 Players
Ex16	Forza Horizon 5	Wired	2 Players
Ex17	Forza Horizon 5	Wired	2 Players
Ex12	Mortal Kombat 11	Wired	1 Player
Ex13	Mortal Kombat 11	Wired	1 Player
Ex14	Mortal Kombat 11	Wired	1 Player
Ex24	Mortal Kombat 11	Wired	1 Player
Ex25	Mortal Kombat 11	Wired	1 Player
Ex30	Mortal Kombat 11	Wired	1 Player
Ex32	Mortal Kombat 11	Wired	2 Players
Ex33	Mortal Kombat 11	Wired	2 Players
Ex34	Mortal Kombat 11	Wired	2 Players