Draft_Kings_Get_NBA_Moneylines.ipynb

Kernel: Python 3

Draft Kings - Get NBA Moneylines

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Tags: #draftkings #nba #betting #python #analytics #automation #sports #sports_betting #opendata #notification #email

Author: JA Williams

Last update: 2023-04-12 (Created: 2022-04-13)

Description: This notebook provides an analysis of NBA Moneylines from Draft Kings to help you make informed betting decisions.

Input

Import libraries

import naas
import requests
import pandas as pd
from bs4 import BeautifulSoup
from naas_drivers import emailbuilder
from datetime import datetime
import pytz

Setup Draft Kings

# URL to scrap data
URL = "https://sportsbook.draftkings.com/leagues/basketball/88670846"

Setup Naas

# Get all timezone
pytz.all_timezones

# Set Time zone
TIME_ZONE = "America/New_York"
naas.set_remote_timezone(TIME_ZONE)

# Schedule the Notebook to run at 11 AM each day of the NBA season
naas.scheduler.add(cron="0 11 * 10,11,12,1,2,3,4,5 *")

# To delete your scheduler, uncomment the line below and execute the cell
# naas.scheduler.delete()

# Email
EMAIL_TO = "<YOUR_EMAIL>"
TODAY = datetime.now(pytz.timezone(TIME_ZONE)).strftime("%Y-%m-%d")
EMAIL_SUBJECT = f"🏀 Draft Kings : Your NBA game of the day {TODAY}"

Model

Scrape Data from Draft Kings

page = requests.get(URL)
soup = BeautifulSoup(page.content, "html.parser")

results = soup.find(id="root")

div = results.find_all("div", class_="parlay-card-10-a")

Separate the Elements

teams = []
lines = []

for element in div:
    team = element.find_all("div", class_="event-cell__name-text")
    teams.append(f"{team}")
    line = element.find_all(
        "span", class_="sportsbook-odds american no-margin default-color"
    )
    lines.append(f"{line}")

Clean Team Element

team_a = teams[0]
team_b = teams[1]
team_list_a = team_a.split(", ")
team_list_b = team_b.split(",")

team_list2_a = []
team_list2_b = []

for t in team_list_a:
    new = t[:-6]
    team_list2_a.append(new)

for t in team_list_b:
    new = t[:-6]
    team_list2_b.append(new)

team_list3_a = []
team_list3_b = []

for x in team_list2_a:
    new = x[35:]
    team_list3_a.append(new)

for x in team_list2_b:
    new = x[35:]
    team_list3_b.append(new)

team_list4_a = [q.replace(">", "") for q in team_list3_a]
dk_team_names_a = [q.replace("<", "") for q in team_list4_a]

team_list4_b = [q.replace(">", "") for q in team_list3_b]
dk_team_names_b = [q.replace("<", "") for q in team_list4_b]

dk_team_names_a.extend(dk_team_names_b)

# Change Team Names to Match with 3-letter Code
new1 = [team.replace("CLE Cavaliers", "CLE") for team in dk_team_names_a]
new2 = [team.replace("CHI Bulls", "CHI") for team in new1]
new3 = [team.replace("MIN Timberwolves", "MIN") for team in new2]
new4 = [team.replace("MIA Heat", "MIA") for team in new3]
new5 = [team.replace("IND Pacers", "IND") for team in new4]
new6 = [team.replace("SA Spurs", "SAS") for team in new5]
new7 = [team.replace("MIL Bucks", "MIL") for team in new6]
new8 = [team.replace("GS Warriors", "GSW") for team in new7]
new9 = [team.replace("SAC Kings", "SAC") for team in new8]
new10 = [team.replace("UTA Jazz", "UTA") for team in new9]
new11 = [team.replace("TOR Raptors", "TOR") for team in new10]
new12 = [team.replace("DEN Nuggets", "DEN") for team in new11]
new13 = [team.replace("WAS Wizards", "WAS") for team in new12]
new14 = [team.replace("POR Trail Blazers", "POR") for team in new13]
new15 = [team.replace("NY Knicks", "NYK") for team in new14]
new16 = [team.replace("BKN Nets", "BRK") for team in new15]
new17 = [team.replace("LA Clippers", "LAC") for team in new16]
new18 = [team.replace("DET Pistons", "DET") for team in new17]
new19 = [team.replace("DAL Mavericks", "DAL") for team in new18]
new20 = [team.replace("BOS Celtics", "BOS") for team in new19]
new21 = [team.replace("PHI 76ers", "PHI") for team in new20]
new22 = [team.replace("ORL Magic", "ORL") for team in new21]
new23 = [team.replace("MEM Grizzlies", "MEM") for team in new22]
new24 = [team.replace("OKC Thunder", "OKC") for team in new23]
new25 = [team.replace("HOU Rockets", "HOU") for team in new24]
new26 = [team.replace("NO Pelicans", "NOP") for team in new25]
new27 = [team.replace("LA Lakers", "LAL") for team in new26]
new28 = [team.replace("ATL Hawks", "ATL") for team in new27]
new29 = [team.replace("PHO Suns", "PHO") for team in new28]
new30 = [team.replace("CHA Hornets", "CHA") for team in new29]

teams_today = new30

Clean Lines Element

line_a = lines[0]
line_b = lines[1]
line_list_a = line_a.split(", ")
line_list_b = line_b.split(", ")

line_list2_a = []
line_list2_b = []

for t in line_list_a:
    new = t[:-6]
    line_list2_a.append(new)

for t in line_list_b:
    new = t[:-6]
    line_list2_b.append(new)

line_list3_a = []
line_list3_b = []

for x in line_list2_a:
    new = x[63:]
    line_list3_a.append(new)

for x in line_list2_b:
    new = x[63:]
    line_list3_b.append(new)

line_list4_a = [q.replace(">", "") for q in line_list3_a]
line_list5_a = [q.replace("/", "") for q in line_list4_a]
dk_lines_a = [q.replace("<", "") for q in line_list5_a]

line_list4_b = [q.replace(">", "") for q in line_list3_b]
line_list5_b = [q.replace("/", "") for q in line_list4_b]
dk_lines_b = [q.replace("<", "") for q in line_list5_b]

dk_lines_a.extend(dk_lines_b)

lines_today = dk_lines_a

Check that there is the same number of lines as their is games

correct_num_games = len(lines_today)

correct_teams_today = []

if len(teams_today) > len(lines_today):
    correct_teams_today = teams_today[:correct_num_games]
else:
    correct_teams_today = teams_today

Combine the Two Elements

team1 = correct_teams_today[1::2]
team2 = correct_teams_today[::2]

team1_line = lines_today[1::2]
team2_line = lines_today[::2]

combined_list = pd.DataFrame(
    {
        "Team 1": team1,
        "Team 2": team2,
        "Team 1 - Moneyline": team1_line,
        "Team 2 - Moneyline": team2_line,
    }
)

Today's NBA Games with Betting Lines from Draft Kings:

combined_list

Create email with data

content = {
    "header": emailbuilder.image(
        src="https://s3-symbol-logo.tradingview.com/draftkings--600.png",
        link="https://sportsbook.draftkings.com",
        align="center",
        width="20%",
    ),
    "txt_0": emailbuilder.text(
        "Hi Ballers 🏀,<br><br>"
        f"Here below the Moneylines* for NBA games as of {TODAY} :<br>"
    ),
    "table": emailbuilder.table(
        combined_list,
        border=True,
        header=True,
        col_size={0: "15%", 1: "15%", 2: "35%", 3: "35%"},
        col_align={0: "center", 1: "center", 2: "center", 3: "center"},
    ),
    "txt_1": emailbuilder.text(
        "<i>*A moneyline bet in sports refers to a wager on the winning team.</i>"
    ),
    "button_1": emailbuilder.button(
        link="https://sportsbook.draftkings.com",
        text="Bet on Draft Kings",
        color="white",
        background_color="#53d337",
    ),
    "txt_4": (
        "Interested to improve this template, please send contact <a href='https://www.linkedin.com/in/ja-williams-529517187'>JA Williams<a/> or send a message to Naas Core Team at [email protected].<br><br>"
    ),
    "heading_5": emailbuilder.text("Happy betting 💸!"),
    "footer": emailbuilder.footer_company(naas=True),
}
email_content = emailbuilder.generate(display="iframe", **content)

Output

Send email

naas.notification.send(EMAIL_TO, EMAIL_SUBJECT, email_content)