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

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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 ...

A collection of 88 end game Fortnite statistics including rank placed, eliminations, assists, revives, accuracy, hits, head shots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, time of day, date, and mental state.

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/).

Fortnite Player Detection

## Overview

Fortnite Player Detection is a dataset for object detection tasks - it contains Players annotations for 200 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Fortnite V5

## Overview

Fortnite V5 is a dataset for object detection tasks - it contains Players annotations for 2,064 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset

This dataset was created by HAROONKHAN

Contents

Very Epic Fortnite Model

## Overview

Very Epic Fortnite Model is a dataset for object detection tasks - it contains Players annotations for 8,606 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

https://cdn2.unrealengine.com/Fortnite%2Fblog%2Fseason-8%2FBR08_News_Featured_Launch_ScreenKeyArt_Announce-1920x1080-f831323339109ab3c6a8d9e4c670f1973b8796d0.jpg" alt="Fortnite Video Game">

Context

This Dataset contains the data of 80 endgame fortnite statistics corresponding to the mental state of the player. The data helps in providing possible conclusions when it comes to sobriety and specific statistics in the game.

Content

The Dataset contains various fortnite statistics such as position of the player after the battle is over, number of eliminations, number of assists, number of revives, accuracy percentage, number of hits and number of headshots. All these stats are calculated keeping in mind the mental state of the player at a particular time and date.

Acknowledgements

The data was obtained from the data world website. The precise data was collected by Kristian Reynolds who was the player. This data can be found from the following link https://data.world/kreynol3/fortnite-statistics80-games with detailed analysis.

Inspiration

Fortnite has been one of the most successful video games in the history of the gaming industry and still continues to be one. The early seasons of fortnite are generally considered its peak. According to PlayerCounter, Fortnite brings in three to eight million concurrent players. Being a huge gaming fanatic inspired me to share this interesting dataset which can be used to study the relation between the accuracy and performance of the player with respect to their mental state.

Fortnite Persons

## Overview

Fortnite Persons is a dataset for object detection tasks - it contains Players annotations for 244 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The dataset contains four attributes of the top-winning Fortnite players, as of 19/05/2020, 12:47 PM IST. The wins recorded cover all formats of the game, that is, inclusive of Solo, Duo and Squad matches. They are career-wise, not season-wise, basically they are wins recorded from the first time the respective player started Fortnite.

For those who don't know, Fortnite is a battle royale game, where a hundred players duke it out on a big map. It has gained huge popularity over the world, especially North America. Fortnite has three main ways of playing: Solo(One-man team), Duo(Two players) and Squad(Surprise - four players!). Winning a Fortnite game is typically termed as a Victory Royale.

This dataset was harvested for fun, for the sole purpose of experimentation. it contains exactly 100 rows, so it should not take a toll on your GPU, and it is about just big enough for some small-scale training and testing. The original data can be found at this site: Fortnite Leaderboards - Global Leaderboards - Wins.

Fortnite 5

## Overview

Fortnite 5 is a dataset for object detection tasks - it contains Players O4wX annotations for 3,785 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Context

Fortnite: Battle Royale has over 20 million unique players, but there are no datasets on Kaggle yet! This one is small, but better than nothing! It contains the location coordinates of chests in Fortnite: Battle Royale as of the 1st of December 2017.

Content

There are three columns in the dataset. The first one has an identifier which is a running number starting from 1. The second column has latitudinal coordinates for chests. The third column has longitudinal coordinates for chests.

Acknowledgements

The data originates from: http://www.fortnitechests.info/ which is updated by SoumyDev (soumyydev@gmail.com)

Neither SoumyDev or the uploader of this dataset are affiliated with Epic Games or any of his partners. All copyrights reserved to their respective owners.

Inspiration

Based on chest coordinates, what are the best clusters to land on at the beginning of the match?

Fortnite User Detection

## Overview

Fortnite User Detection is a dataset for object detection tasks - it contains Players Sx6K annotations for 217 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

(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

Fortnite Detection

## Overview

Fortnite Detection is a dataset for object detection tasks - it contains Players annotations for 847 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Own Fortnite Model 2

## Overview

Own Fortnite Model 2 is a dataset for object detection tasks - it contains Players GSfC annotations for 2,414 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Content The dataset contains the Grand Finals statistics for the NA Central region. Day1 consists of the first 6 games, and Day2 contains the last 6.

Date: Day 1. Each Grand Finals is a two day event. The Date column lists the first day of competition. The second day of competition is just one day later.

Season: The Chapter and Season of the Grand Finals. CH - Chapter; S - Season

Place: Final Placement at the end of the two day Grand Finals

Player1, Player2: The names of the two players in each duo competing together.

Points: Total number of points at the end of the two day Grand Finals.

Wins: Total number of wins at the end of the two day Grand Finals.

Avg. Points: Average number of points scored per duo over the 12 games.

Avg. Place: Average placement by the duo over the 12 games.

Total Eliminations: Total number of eliminations at the end of the two day Grand Finals.

Avg. Elims: Average eliminations by the duo over the 12 games.

K/D: Eliminations (Kills) / Death Rate

Game1-12 Place: Placement by the duo for each of the 12 games.

Game1-12 Elims: Eliminations by the duo for each of the 12 games.

Missing Data Missing data in the csv is handled through "-1" in the Game Place/Elim columns. These can occur if a duo doesn't load into the match, or a game crash prior to the match.

Acknowledgements I collected the data by hand from Fortnite Tracker website (https://fortnitetracker.com/). The public Fortnite Tracker API was disabled.

Fortnite Final

## Overview

Fortnite Final is a dataset for object detection tasks - it contains Players O4wX EDf9 annotations for 3,785 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Own Fortnite Model 3

## Overview

Own Fortnite Model 3 is a dataset for object detection tasks - it contains Players GSfC FFV4 annotations for 2,414 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

AAM Fortnite Battle Royale

## Overview

AAM Fortnite Battle Royale is a dataset for object detection tasks - it contains Players annotations for 868 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).