Hockey Analytics

Apply data science to hockey and broader sports analytics

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Project maintained by justinjjlee Hosted on GitHub Pages — Theme by mattgraham

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Using NHL API for player in game level statistics from NHL.com

Description of the API pull is discussed in NHL API pull via Python

!pip3 install pickle5

Import relevant packages

import pickle5 as pickle
import requests
import numpy as np 
import pandas as pd 

In case using Google CoLab like me,

# Connect to my driver from google CoLab
from google.colab import drive
drive.mount('/content/drive')

Mounted at /content/drive

# Set up the API call variables
year_last = 2021
ssn = ['02', '03']; # Regular season and playoff, respectively
# just to be conservative in case there are data not accounted
max_game_ID = 3000; 
#reverse the list order
yr = list(map(str, list(range(1960, year_last))))[::-1]; 

Pull all relevant seasons

# Loop over the counter and format the API call

for year in yr:
    for season_type in ssn:
        game_data = []
        for i in range(0,max_game_ID):
            r = requests.get(url='http://statsapi.web.nhl.com/api/v1/game/'
                + year + season_type +str(i).zfill(4)+'/feed/live')
            data = r.json()
            game_data.append(data)
        # Save as pickle file
        with open('/content/drive/My Drive/Learning/sports/nhl/' 
                  + year + '_' + season_type + 'FullDataset.pkl', 'wb'
                  ) as f:
            pickle.dump(game_data, f, pickle.HIGHEST_PROTOCOL)
        # Data pull done, let me know.
        print('Done! - year ' + year + ' and season type: ' + season_type)

Done! - year 2020 and season type: 02
Done! - year 2020 and season type: 03
Done! - year 2019 and season type: 02
Done! - year 2019 and season type: 03
...

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