Analysis-of-T1-T3-VALORANT-tournaments
Overview
Our project explores the use of graphs, machine learning, and tables in order to view
statistics about T1-T3 VALORANT tournaments. In this file, README.md, we will explain
the use how to use the program and achieve the results we reviewed.
Instructions
In order to achieve the results our project viewed, the program should:
- Make sure the install all libraries needed which are numpy, pandas, matplotlib.pyplot, seaborn, and sqlite3.
- Install data through reading the sqlite3 file to db file.
- Make sure to create the df files by taking them from their cvs files and create them into db files.
- Merge all columns that would be needed for viewing the data such as Agent, Map, ACS, and more.
- Group by Map and ACS to get the average for each
- Create and save an sns.relplot for the ACS per Map
- Group by Agent and ACS to get the average for each
- Create and save an sns.stripplot for the ACS per Agent
- Create and save an sns.catplot for Map and Total Map Picks
- Create and save an sns.catplot for Agent and Total Agent Picks
- Create and save an sns.catplot for Agent and Total Agent Picks for overall
- For player predictions, install libraries from sklearn.tree and import DecisionTreeClassifier, DecisionTreeRegressor, from sklearn.model_selection and import train_test_split, from sklearn.metrics and import mean_squared_error, accuracy_score, and import random.
- Use the Scoreboard Dataframe and predicts a sample of top players through looking at values such as PlayerName, ACS, Agent, ADR, Econ, TeamAbbreviation, Kills, Deaths, and Assists.
- Create a roster using Scoreboard Dataframe by player name and a different value from above.
- Create a DecisionTreeRegressor model using five players and value in order to see the prediction.
- Insert five player names and a value such as ACS in order to create a 'fantasy team' and predicted statistics.
- Inserting five player names for two teams and values to see which team would win each map and with their averages.
- Creates a bar chart comparing the wins between two teams and each match.