def best_matches_freebet(main_sites, freebets, sport="football", *matches):
"""
Compute of best way to bet freebets following the model
[[bet, bookmaker], ...]
"""
second_sites = {freebet[1] for freebet in freebets}
if not second_sites:
print("Veuillez sélectionner des freebets secondaires")
return
if matches:
new_odds = {}
for match in matches:
match_name, odds = odds_match(match)
new_odds[match_name] = odds
else:
new_odds = sportsbetting.ODDS[sport]
all_odds = {}
for match in new_odds:
if (not (any([site not in new_odds[match]["odds"].keys() for site in main_sites])
or any([site not in new_odds[match]["odds"].keys() for site in second_sites]))):
if new_odds[match]["odds"]:
all_odds[match] = new_odds[match]
best_rate = 0
nb_matches = 2
n = 3 ** nb_matches
nb_freebets = len(freebets)
all_odds_combine = {}
combis = list(combinations(all_odds.items(), nb_matches))
nb_combis = len(combis)
progress = 10
start = time.time()
for i, combine in enumerate(combis):
# if i == 20:
# print("appr. time to wait:", int((time.time()-start)*nb_combis/20), "s")
# if i/nb_combis*100 > progress:
# print(str(progress)+"%")
# progress += 10
match_combine = " / ".join([match[0] for match in combine])
all_odds_combine[match_combine] = cotes_combine_all_sites(*[match[1] for match in combine],
freebet=True)
main_sites_distribution = [main_sites[0] for _ in range(n)]
main_site_odds = copy.deepcopy(all_odds_combine[match_combine]["odds"][main_sites[0]])
for main in main_sites[1:]:
potential_odds = all_odds_combine[match_combine]["odds"][main]
for j, odd in enumerate(potential_odds):
if odd > main_site_odds[j]:
main_site_odds[j] = odd
main_sites_distribution[j] = main
second_odds = {second_site: all_odds_combine[match_combine]["odds"][second_site]
for second_site in second_sites}
dict_combine_odds = copy.deepcopy(second_odds)
for perm in permutations(range(n), nb_freebets):
defined_second_sites = [[perm[i], freebet[0], freebet[1]]
for i, freebet in enumerate(freebets)]
defined_bets_temp = defined_bets(main_site_odds, dict_combine_odds,
main_sites_distribution,
defined_second_sites)
if defined_bets_temp[0] / np.sum(defined_bets_temp[1]) > best_rate:
best_rate = defined_bets_temp[0] / np.sum(defined_bets_temp[1])
best_combine = combine
best_bets = defined_bets_temp
# print("Temps d'exécution =", time.time()-start)
best_match_combine = " / ".join([match[0] for match in best_combine])
odds_best_match = copy.deepcopy(all_odds_combine[best_match_combine])
all_sites = main_sites + list(second_sites)
for site in all_odds_combine[best_match_combine]["odds"]:
if site not in all_sites:
del odds_best_match["odds"][site]
print(best_match_combine)
pprint(odds_best_match, compact=1)
print("Taux =", best_rate)
print("Gain référence =", best_bets[0])
print("Somme des mises =", np.sum(best_bets[1]))
afficher_mises_combine([x[0] for x in best_combine], best_bets[2], best_bets[1],
all_odds_combine[best_match_combine]["odds"], "football",
uniquement_freebet=True)
def best_match_stakes_to_bet(stakes, nb_matches=1, sport="football", date_max=None, time_max=None, identical_stakes=False):
second_sites = {stake[1] for stake in stakes}
main_sites = ['betclic', 'betstars', 'bwin', 'france_pari', 'joa', 'netbet',
'parionssport', 'pasinobet', 'pmu', 'unibet', 'winamax', 'zebet']
all_odds = filter_dict_dates(sb.ODDS[sport], date_max, time_max)
best_profit = -sum(stake[0] for stake in stakes)
n = get_nb_issues(sport) ** nb_matches
nb_stakes = len(stakes)
all_odds_combine = {}
combis = list(combinations(all_odds.items(), nb_matches))
nb_combis = len(combis)
best_combine = None
best_bets = None
main_site_odds = []
main_sites_distribution = []
sb.PROGRESS = 0
for i, combine in enumerate(combis):
sb.PROGRESS += 100 / nb_combis
match_combine = " / ".join([match[0] for match in combine])
all_odds_combine[match_combine] = cotes_combine_all_sites(*[match[1] for match in combine])
for main0 in main_sites:
try:
main_sites_distribution = [main0 for _ in range(n)]
main_site_odds = copy.deepcopy(all_odds_combine[match_combine]["odds"][main0])
break
except KeyError:
pass
for main in main_sites[:i] + main_sites[i + 1:]:
try:
potential_odds = all_odds_combine[match_combine]["odds"][main]
for j, odd in enumerate(potential_odds):
if odd > main_site_odds[j]:
main_site_odds[j] = odd
main_sites_distribution[j] = main
except KeyError:
pass
second_odds = {second_site: all_odds_combine[match_combine]["odds"][second_site]
for second_site in second_sites if second_site in all_odds_combine[match_combine]["odds"]}
if not second_odds:
continue
dict_combine_odds = copy.deepcopy(second_odds)
for perm in permutations(range(n), nb_stakes):
valid_perm = True
defined_second_sites = [[perm[j], stake[0], stake[1]]
for j, stake in enumerate(stakes)]
for j, stake in enumerate(stakes):
if dict_combine_odds[defined_second_sites[j][2]][defined_second_sites[j][0]] < stake[2]:
valid_perm = False
break
if not valid_perm:
if identical_stakes:
break
continue
defined_bets_temp = defined_bets(main_site_odds, dict_combine_odds,
main_sites_distribution,
defined_second_sites)
profit = defined_bets_temp[0] - np.sum(defined_bets_temp[1])
if profit > best_profit:
best_profit = profit
best_combine = combine
best_bets = defined_bets_temp
if identical_stakes:
break
if best_combine:
best_match_combine = " / ".join([match[0] for match in best_combine])
odds_best_match = copy.deepcopy(all_odds_combine[best_match_combine])
all_sites = main_sites + list(second_sites)
for site in all_odds_combine[best_match_combine]["odds"]:
if site not in all_sites:
del odds_best_match["odds"][site]
print(best_match_combine)
pprint(odds_best_match, compact=1)
print("Plus-value =", round(best_profit, 2))
print("Gain référence =", round(best_bets[0], 2))
print("Somme des mises =", round(np.sum(best_bets[1]), 2))
afficher_mises_combine([x[0] for x in best_combine], best_bets[2], best_bets[1],
all_odds_combine[best_match_combine]["odds"], sport)
else:
print("No match found")
def best_match_stakes_to_bet(stakes, nb_matches=1, sport="football", date_max=None, time_max=None):
second_sites = {stake[1] for stake in stakes}
main_sites = ['betclic', 'betstars', 'bwin', 'france_pari', 'joa', 'netbet',
'parionssport', 'pasinobet', 'pmu', 'unibet', 'winamax', 'zebet']
new_odds = sportsbetting.ODDS[sport]
all_odds = {}
hour_max, minute_max = 0, 0
if time_max:
if time_max[-1] == 'h':
hour_max = int(time_max[:-1])
else:
hour_max, minute_max = (int(_) for _ in time_max.split('h'))
if date_max:
day_max, month_max, year_max = (int(_) for _ in date_max.split('/'))
datetime_max = datetime.datetime(year_max, month_max, day_max,
hour_max, minute_max)
else:
datetime_max = None
for match in new_odds:
if (((datetime_max and new_odds[match]["date"] <= datetime_max) or not datetime_max)
and not any([site not in new_odds[match]["odds"].keys() for site in second_sites])):
if new_odds[match]["odds"]:
all_odds[match] = new_odds[match]
best_profit = -sum(stake[0] for stake in stakes)
n = 3 ** nb_matches
nb_stakes = len(stakes)
all_odds_combine = {}
combis = list(combinations(all_odds.items(), nb_matches))
nb_combis = len(combis)
best_combine = None
best_bets = None
main_site_odds = []
main_sites_distribution = []
progress = 10
start = time.time()
sportsbetting.PROGRESS = 0
for i, combine in enumerate(combis):
sportsbetting.PROGRESS += 100 / nb_combis
# if i == 20:
# print("appr. time to wait:", int((time.time()-start)*nb_combis/20), "s")
# if i/nb_combis*100 > progress:
# print(str(progress)+"%")
# progress += 10
match_combine = " / ".join([match[0] for match in combine])
all_odds_combine[match_combine] = cotes_combine_all_sites(*[match[1] for match in combine])
for main0 in main_sites:
try:
main_sites_distribution = [main0 for _ in range(n)]
main_site_odds = copy.deepcopy(all_odds_combine[match_combine]["odds"][main0])
break
except KeyError:
pass
for main in main_sites[:i] + main_sites[i + 1:]:
try:
potential_odds = all_odds_combine[match_combine]["odds"][main]
for j, odd in enumerate(potential_odds):
if odd > main_site_odds[j]:
main_site_odds[j] = odd
main_sites_distribution[j] = main
except KeyError:
pass
second_odds = {second_site: all_odds_combine[match_combine]["odds"][second_site]
for second_site in second_sites}
dict_combine_odds = copy.deepcopy(second_odds)
for perm in permutations(range(n), nb_stakes):
valid_perm = True
defined_second_sites = [[perm[j], stake[0], stake[1]]
for j, stake in enumerate(stakes)]
for j, stake in enumerate(stakes):
if dict_combine_odds[defined_second_sites[j][2]][defined_second_sites[j][0]] < \
stake[2]:
valid_perm = False
break
if not valid_perm:
continue
defined_bets_temp = defined_bets(main_site_odds, dict_combine_odds,
main_sites_distribution,
defined_second_sites)
profit = defined_bets_temp[0] - np.sum(defined_bets_temp[1])
if profit > best_profit:
best_profit = profit
best_combine = combine
best_bets = defined_bets_temp
# print("Temps d'exécution =", time.time()-start)
if best_combine:
best_match_combine = " / ".join([match[0] for match in best_combine])
odds_best_match = copy.deepcopy(all_odds_combine[best_match_combine])
all_sites = main_sites + list(second_sites)
for site in all_odds_combine[best_match_combine]["odds"]:
if site not in all_sites:
del odds_best_match["odds"][site]
print(best_match_combine)
pprint(odds_best_match, compact=1)
print("Plus-value =", best_profit)
print("Gain référence =", best_bets[0])
print("Somme des mises =", np.sum(best_bets[1]))
afficher_mises_combine([x[0] for x in best_combine], best_bets[2], best_bets[1],
all_odds_combine[best_match_combine]["odds"], "football")
else:
print("No match found")
def best_match_stakes_to_bet2(stakes,
nb_matches=2,
sport="football",
date_max=None,
time_max=None,
identical_stakes=False):
second_sites = {stake[1] for stake in stakes}
main_sites = sb.BOOKMAKERS
all_odds = get_matches_with_best_trj(sport, 20)
all_odds = filter_dict_dates(all_odds, date_max, time_max)
best_profit = -sum(stake[0] for stake in stakes)
n = 5 #get_nb_outcomes(sport) ** nb_matches
nb_stakes = len(stakes)
all_odds_combine = [{} for _ in range(6)]
combis = list(combinations(all_odds.items(), nb_matches))
nb_combis = len(combis)
best_combine = None
best_bets = None
main_site_odds = []
main_sites_distribution = []
sb.PROGRESS = 0
list_combinations = cotes_combine_optimise([[1 for _ in range(3)]
for i in range(nb_matches)])[1]
for k in range(6):
for i, combine in enumerate(combis):
sb.PROGRESS += 100 / nb_combis
match_combine = " / ".join([match[0] for match in combine])
cotes_combination = cotes_combine_reduit_all_sites(
*[match[1] for match in combine])
# print(cotes_combination[k])
all_odds_combine[k][match_combine] = cotes_combination[k]
for main0 in main_sites:
try:
main_sites_distribution = [main0 for _ in range(n)]
main_site_odds = copy.deepcopy(
all_odds_combine[k][match_combine]["odds"][main0])
break
except KeyError:
pass
for main in main_sites[:i] + main_sites[i + 1:]:
try:
potential_odds = all_odds_combine[k][match_combine][
"odds"][main]
for j, odd in enumerate(potential_odds):
if odd > main_site_odds[j]:
main_site_odds[j] = odd
main_sites_distribution[j] = main
except KeyError:
pass
second_odds = {
second_site:
all_odds_combine[k][match_combine]["odds"][second_site]
for second_site in second_sites
if second_site in all_odds_combine[k][match_combine]["odds"]
}
if not second_odds:
continue
dict_combine_odds = copy.deepcopy(second_odds)
for perm in permutations(range(n), nb_stakes):
valid_perm = True
defined_second_sites = [[perm[j], stake[0], stake[1]]
for j, stake in enumerate(stakes)]
for j, stake in enumerate(stakes):
if dict_combine_odds[defined_second_sites[j][2]][
defined_second_sites[j][0]] < stake[2]:
valid_perm = False
break
if not valid_perm:
if identical_stakes:
break
continue
defined_bets_temp = defined_bets(main_site_odds,
dict_combine_odds,
main_sites_distribution,
defined_second_sites)
profit = defined_bets_temp[0] - np.sum(defined_bets_temp[1])
if profit > best_profit:
best_profit = profit
best_combine = combine
best_bets = defined_bets_temp
best_combination = k
if identical_stakes:
break
if best_combine:
best_match_combine = " / ".join([match[0] for match in best_combine])
odds_best_match = copy.deepcopy(
all_odds_combine[best_combination][best_match_combine])
all_sites = main_sites + list(second_sites)
for site in all_odds_combine[best_combination][best_match_combine][
"odds"]:
if site not in all_sites:
del odds_best_match["odds"][site]
print(best_match_combine)
pprint(odds_best_match, compact=1)
print("Plus-value =", round(best_profit, 2))
print("Gain référence =", round(best_bets[0], 2))
print("Somme des mises =", round(np.sum(best_bets[1]), 2))
afficher_mises_combine(
[x[0] for x in best_combine],
best_bets[2],
best_bets[1],
all_odds_combine[best_combination][best_match_combine]["odds"],
sport,
combinaisons=convert_indices_to_opponents(
list_combinations[best_combination],
[x[0] for x in best_combine], sport))
else:
print("No match found")
