Exploratory and Predictive analysis of the dataset
- Defined heroes with highest pick and wining rates
- Identified some heroes combinations with the highest winning probability
- Built ML models for predicting a winning team and game mode
Dota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and weaknesses. The dataset is reasonably sparse as only 10 of 113 possible heroes are chosen in a given game. All games were played in a space of 2 hours on the 13th of August, 2016
Each row of the dataset is a single game with the following features (in the order in the vector):
- Team won the game (1 or -1)
- Cluster ID (related to location)
- Game mode (eg All Pick)
- Game type (eg. Ranked)
- till end: Each element is an indicator for a hero.
Value of 1 indicates that a player from team '1' played as that hero and '-1' for the other team.
Hero can be selected by only one player each game. This means that each row has five '1' and five '-1' values.
All source code used to generate the results and figures in the paper are in the dota2.ipynb.
The calculations and figure generation are all run inside
Jupyter notebooks.
The data used in this study is provided in dataset folder
and was taken from here.
You can download a copy of all the files in this repository by cloning the git repository:
git clone https://github.com/DthRazak/Dota2Project.git
| Hero | WINS | LOSES | WIN RATE |
|---|---|---|---|
| Anti-Mage | 6859 | 7858 | 46.61 |
| Axe | 10476 | 9375 | 52.77 |
| Bane | 1119 | 1369 | 44.98 |
| Bloodseeker | 5860 | 5674 | 50.81 |
| Crystal Maiden | 5428 | 4492 | 54.72 |
| ... | ... | ... | ... |
| Terrorblade | 2167 | 2269 | 48.85 |
| Phoenix | 1939 | 1838 | 51.34 |
| Oracle | 1120 | 1468 | 43.28 |
| Winter Wyvern | 1465 | 1808 | 44.76 |
| Arc Warden | 768 | 1001 | 43.41 |
| 112 rows × 3 columns |
This project is licensed with the MIT License.