rd2l_normalization.py

import requests
import json
import statistics
import math

# set up dictionary for stat collection
league_stats = {
    'mmr_list': [],
    'divisions': {
        'EST-MON': {'mmr_list': []},
        'EST-SUN': {'mmr_list': []},
        'PST-SUN': {'mmr_list': []}
    }
}

# define a function that creates badges based on the zscore of the player
def rd2lBadge(zscore):
    badges = {
        3: 'Immortal',
        2: 'Divine',
        1: 'Ancient',
        0: 'Legend',
        -1: 'Archon',
        -2: 'Crusader',
        -3: 'Guardian',
        -4: 'Herald'
        }
    number = int((zscore - math.floor(zscore))//(1/7)) + 1
    return str(badges[math.floor(zscore)] + " " + str(number)) 

# grab team list from rd2l.gg
teams_json = requests.get('https://rd2l.gg/teams/json')

# dump player and team lists into json
teams = teams_json.json()
season18 = teams["Season 18"]

# generate team mean, stdev, and generate list of league-wide and divisional mmr
for team in season18:
    team["mmr_list"] = []
    for player in team["player"]:
        team["mmr_list"].append(player["adjusted_mmr"])
        league_stats["mmr_list"].append(player["adjusted_mmr"])
        league_stats["divisions"][team["division_name"]]["mmr_list"].append(player["adjusted_mmr"])
    team["mean"] = statistics.mean(team["mmr_list"])
    team["stdev"] = statistics.stdev(team["mmr_list"])


# calculate league-wide mean and standard deviation
league_stats["mean"] = statistics.mean(league_stats["mmr_list"])
league_stats["stdev"] = statistics.stdev(league_stats["mmr_list"])

# calculate division mean and standard deviation
for division in league_stats["divisions"].keys():
    league_stats["divisions"][division]["mean"] = statistics.mean(league_stats["divisions"][division]["mmr_list"])
    league_stats["divisions"][division]["stdev"] = statistics.stdev(league_stats["divisions"][division]["mmr_list"])

# calculate zscore for individual players relative to league-wide and divisional means, generate rd2l badge based on player zscore
for team in season18:
    for player in team["player"]:
        player["division_zscore"] = (player["adjusted_mmr"] - league_stats["divisions"][team["division_name"]]["mean"])/league_stats["divisions"][team["division_name"]]["stdev"]
        player["league_zscore"] = (player["adjusted_mmr"] - league_stats["mean"])/league_stats["stdev"]
        player["rd2l_badge"] = rd2lBadge(player["league_zscore"])