mlb-game-data's Introduction

mlb-game-data

A storage for a scraper that can write txt files containing season results

Currently there is only information held from the 2019 and 2021 seasons. More seasons can be accessed by changing the url in the python script and also the id for the regular season games in the find python script.

 page = get_parsed_page("https://www.baseball-reference.com/leagues/majors/2019-schedule.shtml")

 data = page.find("div", {'id': "all_9125626744"})

All of the information in the .txt files are formatted in this way:

f.write("%s(%s)@%s(%s)^%s#%s\n" % (bs.home, bs.homeRecord, bs.away, bs.awayRecord, bs.homeScore, bs.awayScore))

Therefore, even though it is written:

Baltimore Orioles(17-25)@Tampa Bay Rays(25-19)^1#10

The Orioles are the Home Team. Sorry, that's confusing. Was just using the @^# symbols to make parsing later on easier.

Read

outcomes = read("2019")

print(outcomes[100].jsonify())

returns:

{
    "info": "Pittsburgh Pirates(1-3)@Cincinnati Reds(1-4)^2#0",
    "home": {
        "Team": "Pittsburgh Pirates",
        "Record": "1-3",
        "Score": "2"
    },
    "away": {
        "Team": "Cincinnati Reds",
        "Record": "1-4",
        "Score": "0"
    }
}

std

2021
 Total Runs
  Average: 9.06134211609716
  Std: 4.517194633260302
 Home Team Runs
  Average: 4.606422396047757
  Std: 3.181729167984497
 Away Team Runs
  Average: 4.454919720049403
  Std: 3.184870167927786
 Home team wins: 1307
 Away team wins: 1122
 Home team runs: 11189
 Away team runs: 10821

2019
 Total Runs
  Average: 9.661177439275422
  Std: 4.75899828210121
 Home Team Runs
  Average: 4.824619184849732
  Std: 3.218493786398544
 Away Team Runs
  Average: 4.8365582544256895
  Std: 3.4225004177520515
 Home team wins: 1319
 Away team wins: 1110
 Home team runs: 11719
 Away team runs: 11748

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