Major League Baseball Game Prediction

This file contains links to the data behind The Complete History of MLB and our MLB Predictions. Dataset credit:- Credit goes to the researcher for this dataset.

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train.csv contains game-by-game Elo ratings and forecasts back to 1871.

The data contains two separate systems for rating teams; the simpler Elo ratings, used for The Complete History Of MLB, and the more involved — and confusingly named — "ratings" that are used in our MLB Predictions. The main difference is that Elo ratings are reverted to the mean between seasons, while the more involved ratings use preseason team projections from several projection systems and account for starting pitchers.

Column	Definition
date	Date of game
season	Year of season
neutral	Whether game was on a neutral site
team1	Abbreviation for home team
team2	Abbreviation for away team
elo1_pre	Home team's Elo rating before the game
elo2_pre	Away team's Elo rating before the game
elo_prob1	Home team's probability of winning according to Elo ratings
elo_prob2	Away team's probability of winning according to Elo ratings
elo1_post	Home team's Elo rating after the game
elo2_post	Away team's Elo rating after the game
rating1_pre	Home team's rating before the game
rating2_pre	Away team's rating before the game
pitcher1	Name of home starting pitcher
pitcher2	Name of away starting pitcher
pitcher1_rgs	Home starting pitcher's rolling game score before the game
pitcher2_rgs	Away starting pitcher's rolling game score before the game
pitcher1_adj	Home starting pitcher's adjustment to their team's rating
pitcher2_adj	Away starting pitcher's adjustment to their team's rating
rating_prob1	Home team's probability of winning according to team ratings and starting pitchers
rating_prob2	Away team's probability of winning according to team ratings and starting pitchers
rating1_post	Home team's rating after the game
rating2_post	Away team's rating after the game
score	Home team's score

All the Data Scientist & Machine Learning Enthusiast are invited to Predict the home team’s score in the given test file.

1	Test File	Download
2	Train File	Download
3	Sample Submission	Download

Code File * (only .ipynb file accepted)

Solution File * (only .csv file accepted)

Solution Description *

Do you want to show your code on leaderboard? *

Yes

S.No.	Description	Code File	Solution File

Rank	User	Points	Score
1	Mark	10	1000
2	Emma	8	900
3	Sophia	6	8000

Major League Baseball Game Prediction

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