Clever Geek Handbook

我如何通过体育博彩赚了30美元

哈Ha！在本文中，我将解释如何使用Python和基本数学从体育博彩中获利。谁在乎，欢迎下切！



1个



庄家叉子



体育博彩中有一个术语叫庄家的叉子。保证金是一种情况，当两个或多个庄家的赔率差异允许您对与不同庄家的互斥结果下注，并为任何结果保持利润。我们将开始寻找这些保证金。



怎么运行的？



, 16.07 . . marathonbet:



2



plusminus:



3



: 1/K1 +1/K2 1, , , ,

K1 —

K2 — .

. marathonbet , plusminus , , 1/1.125+ 1/3.92 = 1.1439909297052153. , : 1/5.7 + 1/1.24 = 0.9818902093944539 , .



?



, , : ? :

summa_min = (K1 x summa_max)/K2, K1<K2;

summa_max — , ;

summa_min — , .

. , , 100$, summa_min = ( 1.24 x100)/5.7; summa_min = 21.75438596491228$. , 5.7 21.75438596491228$, 1.24 100$, 2.2456140350877263$. , 21.75438596491228$ , , .





, , , , . :



import requests
from bs4 import BeautifulSoup
from difflib import SequenceMatcher
from collections import defaultdict


html- :



def get_html(url):
    r = requests.get(url)
    return r.text


marathonbet: 



def get_all_event_marathonbet(html):
    all_players = []
    all_K = []
    soup = BeautifulSoup(html, 'lxml')
    all_event = soup.find('div',
    class_ = "sport-category-content").find_all('div',
                                class_='bg coupon-row')
    for players in all_event:
        players = players['data-event-name'].\
            replace('- ', '.').split('.')
        player_1 = players[1].strip()
        player_2 = players[3].strip()
        all_players.append(player_1)
        all_players.append(player_2)

    for g in all_event:
        K1 = g.find('td',colspan="1").find('span',
        class_="selection-link active-selection").text
        K2 = g.find('td', colspan="1").find('span',
        class_="selection-link active-selection").\
            findNext('span').text
        all_K.append(K1)
        all_K.append(K2)

    return all_players, all_K


, github. , , : 



def create_arr_couple(arr_players):
    arr_couple = []
    for i in range(0, len(arr_players), 2):
        arr_couple.append(arr_players[i] + ' V '
                          + arr_players[i + 1])
    return arr_couple


, : {' V ': ['1.24', '3.92']}. :



def create_dict(arr_couple, arr_key):
    cat = defaultdict(list)
    scet = 0
    try:
        for i in range(len(arr_couple)):
            cat[arr_couple[i]].append(arr_key[scet])
            cat[arr_couple[i]].append(arr_key[scet + 1])
            scet += 2
        return dict(cat)
    except IndexError:
        print('ERROR!')


4 , :

1) :



def similar(a, b):
    return SequenceMatcher(None, a, b).ratio()


0 1, , , -. , Sarmiento , .



2) 1/K1 +1/K2 :



def find_vilka(K1, K2):
    return 1/float(K1)+1/float(K2)


3) , :



def profit(K, summa_max,summa_min):
    print(" : "+
          str((float(K)*summa_max)-summa_min-summa_max))


4) , :



def raschet_vilki(K1,K2,summa_max = 100):

    if K1<K2:
        summa_min = (float(K1)*summa_max)/float(K2)
        print('  {}'.format(K1)+
              '  {} '.format(summa_max))
        print('  {}'.format(K2) + 
              '  {} '.format(summa_min))

        profit(K1, summa_max, summa_min)

    else:
        summa_min = (float(K2) * summa_max) / float(K1)
        print('  {}'.format(K1) + 
              '  {} '.format(summa_min))
        print('  {}'.format(K2) + 
              '  {} '.format(summa_max))

        profit(K2, summa_max, summa_min)




因此，在一个多月的时间里，我以120美元的投资赚了30美元。是的，考虑到该程序是为两个博彩公司（仅针对网球）编写的，所以这并不多，而且我每天监控比赛的赔率3-5次。平均而言，我每天设法找到两个叉子。基本上，从0. 97或更高的赔率下注，分别带来了仅百分之几的下注。



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