fix middle proba computation

sportsbetting/basic_functions.py

@@ -186,6 +186,12 @@ def gain3(odds, best_odds, stake, minimum_odd, miles=False, rate_eur_miles=0, mu
  profit = profit_combination
  return profit
 
+
+def equivalent_middle_odd(odds):
+ risque = 1-gain(odds)
+ gain_brut = gain(odds)
+ return gain_brut/risque
+
 def mises_defi_rembourse_ou_gagnant(odds, stake, winning_outcome, output=False):
  stakes = []
  for i, odd in enumerate(odds):

sportsbetting/interface_functions.py

@@ -26,7 +26,7 @@
  best_combine_booste, trj_match, best_matches_freebet_one_site, get_values,
  best_matches_freebet2, best_match_defi_rembourse_ou_gagnant, best_combine_booste_progressif)
 from sportsbetting.performances import get_surebets_players_nba
-from sportsbetting.basic_functions import gain, mises, mises2
+from sportsbetting.basic_functions import gain, mises, mises2, equivalent_middle_odd
 
 WHAT_WAS_PRINTED_COMBINE = ""
 
@@ -887,6 +887,12 @@ def open_bookmaker_odds(window, values):
  webbrowser.open(url, new=2)
 
 
+def trj_with_min_odd(match):
+ trj, _, best_odds = trj_match(match)
+ if min(best_odds) < 1.05:
+ return 0
+ return trj
+
 def find_perf_players(window, values):
  if not values["SITES_PERF"]:
  return
@@ -900,7 +906,7 @@ def find_perf_players(window, values):
 
 def search_perf(window, values):
  try:
- perfs = sorted([x for x in sb.SUREBETS.keys() if values["SEARCH_PERF"].lower() in x.lower()], key=lambda x:trj_match(sb.SUREBETS[x])[0], reverse=True)
+ perfs = sorted([x for x in sb.SUREBETS.keys() if values["SEARCH_PERF"].lower() in x.lower()], key=lambda x:trj_with_min_odd(sb.SUREBETS[x]), reverse=True)
  window['SUREBETS_PERF'].update(values=perfs)
  except KeyError:
  window['SUREBETS_PERF'].update(values=[])
@@ -950,6 +956,10 @@ def display_middle_info(window, values):
  for i in range(int(float(down)+1), int(float(up)+1)):
  proba += scipy.stats.poisson.pmf(i, mean)
  proba = round(proba*100, 3)
+ equivalent_odd = equivalent_middle_odd(best_odds)
+ if min(best_odds) < 1.05:
+ proba = 1
+ equivalent_odd = 100
  trj = round(trj*100, 3)
  odds = sb.MIDDLES[player_down_up_market]["odds"]
  table = []
@@ -963,8 +973,8 @@ def display_middle_info(window, values):
  window["OUTCOME0_PERF"].update("Over {} @ {} : {}".format(down, best_odds[0], bookmakers[0]))
  window["OUTCOME1_PERF"].update("Under {} @ {} : {}".format(up, best_odds[1], bookmakers[1]))
  window["TRJ_PERF"].update("TRJ : {}%".format(trj))
- window["PROBA_MIDDLE_PERF"].update("Probabilité de middle : {} %".format(proba))
- window["SUM_MIDDLE_PERF"].update("TRJ + proba : {} %".format(trj + proba), text_color="red" if trj+proba>100 else "black")
+ window["PROBA_MIDDLE_PERF"].update("Probabilité de middle : {} % / {} %".format(proba, 100/equivalent_odd))
+ window["SUM_MIDDLE_PERF"].update("Proba théorique - Proba bookmaker : {} %".format(proba - 100/equivalent_odd), text_color="red" if proba - 100/equivalent_odd>0 else "black")
 
 def sort_middle_gap(window, values):
  if not sb.MIDDLES:
@@ -991,15 +1001,17 @@ def get_gap_proba(key):
  down, up_market = down_up_market.split(" - ")
  up, market = up_market.split(".5 ")
  up += ".5 "
- trj, _, best_odds = trj_match(sb.MIDDLES[key])
+ _, _, best_odds = trj_match(sb.MIDDLES[key])
+ if min(best_odds) < 1.05:
+ return float("-inf")
  if market == "Points":
  mean = float(up)
  else:
  mean = (float(up) + float(down))/2
  proba = 0
  for i in range(int(float(down)+1), int(float(up)+1)):
  proba += scipy.stats.poisson.pmf(i, mean)
- return proba + trj
+ return proba - 1/equivalent_middle_odd(best_odds)
  middles = sorted(sb.MIDDLES.keys(), key=get_gap_proba, reverse=True)
  window["MIDDLES_PERF"].update(middles)