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link_match : page link of match in Premier League Official website
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season : match season
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date : match date
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home_team : home team
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away_team : away team
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result_full : match result
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result_ht : match result in 1st time
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home_clearances : home team clearances in the match
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home_corners : home team corners in the match
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home_fouls_conceded : home team fouls conceded in the match
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home_offsides : home team offsides in the match
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home_passes : home team passes in the match
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home_possession : home team possession in the match
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home_red_cards : home team red cards in the match
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home_shots : home team shots in the match
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home_shots_on_target : home team shots on target in the match
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home_tackles : home team tackles in the match
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home_touches : home team touches in the match
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home_yellow_cards : home team yellow cards in the match
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away_clearances : away tem clearances in the match
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away_corners : away team corners in the match
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away_fouls_conceded : away team fouls conceded in the match
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away_offsides : away team offsides in the match
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away_passes : away team passes in the match
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away_possession : away team possession in the match
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away_red_cards : away team red cards in the match
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away_shots : away team shots in the match
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away_shots_on_target : away team shots on target in the match
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away_tackles : away team tackles in the match
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away_touches : away team touches in the match
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away_yellow_cards : away team yellow cards in the match
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goal_home_ft : home team goals scored in the match
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goal_away_ft : away team goals scored in the match
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sg_match_ft : goals difference between home team and away team in the match
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goal_home_ht : home team goals scored in 1st time in the match
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goal_away_ht : away team goals scored in 1st time in the match
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sg_match_ht : goals difference between home team and away team in 1st time in the match
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clearances_avg_H : average home team clearances in matches as host in the season; accumulated until the last match
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corners_avg_H : average home team corners in matches as host in the season; accumulated until the last match
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fouls_conceded_avg_H : average home team fouls conceded in matches as host in the season; accumulated until the last match
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offsides_avg_H : average home team offsides in matches as host in the season; accumulated until the last match
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passes_avg_H : average home team passes in matches as host in the season; accumulated until the last match
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possession_avg_H : average home team possession in matches as host in the season; accumulated until the last match
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red_cards_avg_H : average home team red cards in matches as host in the season; accumulated until the last match
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shots_avg_H : average home team shots in matches as host in the season; accumulated until the last match
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shots_on_target_avg_H : average home team shots on target in matches as host in the season; accumulated until the last match
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tackles_avg_H : average home team tackles in matches as host in the season; accumulated until the last match
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touches_avg_H : average home team touches in matches as host in the season; accumulated until the last match
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yellow_cards_avg_H : average home team yellow cards in matches as host in the season; accumulated until the last match
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goals_scored_ft_avg_H : average home team goals scored in matches as host in the season; accumulated until the last match
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goals_conced_ft_avg_H : average home team goals conceded in matches as host in the season; accumulated until the last match
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sg_match_ft_acum_H : goals difference in matches as host in the season; accumulated until the last match
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goals_scored_ht_avg_H : average home team goals scored in 1st time in matches as host in the season; accumulated until the last match
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goals_conced_ht_avg_H : average home team goals conceded in 1st time in matches as host in the season; accumulated until the last match
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sg_match_ht_acum_H : goals difference in 1st time in matches as host in the season; accumulated until the last match
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performance_acum_H : home team percentage of points gains in matches as host in the season; accumulated until the last match
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clearances_avg_A : average away team clearances in matches as host in the season; accumulated until the last match
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corners_avg_A : average away team corners in matches as host in the season; accumulated until the last match
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fouls_conceded_avg_A : average away team fouls conceded in matches as host in the season; accumulated until the last match
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offsides_avg_A : average away team offsides in matches as host in the season; accumulated until the last match
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passes_avg_A : average away team passes in matches as host in the season; accumulated until the last match
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possession_avg_A : average away team possession in matches as host in the season; accumulated until the last match
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red_cards_avg_A : average away team red cards in matches as host in the season; accumulated until the last match
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shots_avg_A : average away team shots in matches as host in the season; accumulated until the last match
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shots_on_target_avg_A : average away team shots on target in matches as host in the season; accumulated until the last match
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tackles_avg_A : average away team tackles in matches as host in the season; accumulated until the last match
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touches_avg_A : average away team touches in matches as host in the season; accumulated until the last match
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yellow_cards_avg_A : average away team yellow cards in matches as host in the season; accumulated until the last match
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goals_scored_ft_avg_A : average away team goals scored in matches as host in the season; accumulated until the last match
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goals_conced_ft_avg_A : average away team goals conceded in matches as host in the season; accumulated until the last match
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sg_match_ft_acum_A : goals difference in matches as host in the season; accumulated until the last match
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goals_scored_ht_avg_A : average away team goals scored in 1st time in matches as host in the season; accumulated until the last match
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goals_conced_ht_avg_A : average away team goals conceded in 1st time in matches as host in the season; accumulated until the last match
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sg_match_ht_acum_A : goals difference in 1st time in matches as host in the season; accumulated until the last match
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performance_acum_A : away team percentage of points gains in matches as host in the season; accumulated until the last match
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clearances_avg_home : average home team clearances in the season; accumulated until the last match
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corners_avg_home : average home team corners in the season; accumulated until the last match
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fouls_conceded_avg_home : average home team fouls conceded in the season; accumulated until the last match
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offsides_avg_home : average home team offsides in the season; accumulated until the last match
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passes_avg_home : average home team passes in the season; accumulated until the last match
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possession_avg_home : average home team possession in the season; accumulated until the last match
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red_cards_avg_home : average home team red cards in the season; accumulated until the last match
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shots_avg_home : average home team shots in the season; accumulated until the last match
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shots_on_target_avg_home: average home team shots on target in the season; accumulated until the last match
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tackles_avg_home : average home team tackles in the season; accumulated until the last match
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touches_avg_home : average home team touches in the season; accumulated until the last match
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yellow_cards_avg_home : average home team yellow cards in the season; accumulated until the last match
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goals_scored_ft_avg_home: average home team goals scored in the season; accumulated until the last match
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goals_conced_ft_avg_home: average home team goals conceded in the season; accumulated until the last match
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sg_match_ft_acum_home : goals difference in the season; accumulated until the last match
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goals_scored_ht_avg_home: average home team goals scored in 1st time in the season; accumulated until the last match
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goals_conced_ht_avg_home: average home team goals conceded in 1st time in the season; accumulated until the last match
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sg_match_ht_acum_home : goals difference in 1st time in the season; accumulated until the last match
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performance_acum_home : home team percentage of points gains in the season; accumulated until the last match
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clearances_avg_away : average away team clearances in the season; accumulated until the last match
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corners_avg_away : average away team corners in the season; accumulated until the last match
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fouls_conceded_avg_away : average away team fouls conceded in the season; accumulated until the last match
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offsides_avg_away : average away team offsides in the season; accumulated until the last match
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passes_avg_away : average away team passes in the season; accumulated until the last match
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possession_avg_away : average away team possession in the season; accumulated until the last match
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red_cards_avg_away : average away team red cards in the season; accumulated until the last match
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shots_avg_away : average away team shots in the season; accumulated until the last match
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shots_on_target_avg_away: average away team shots on target in the season; accumulated until the last match
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tackles_avg_away : average away team tackles in the season; accumulated until the last match
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touches_avg_away : average away team touches in the season; accumulated until the last match
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yellow_cards_avg_away : average away team yellow cards in the season; accumulated until the last match
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goals_scored_ft_avg_away: average away team goals scored in the season; accumulated until the last match
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goals_conced_ft_avg_away: average away team goals conceded in the season; accumulated until the last match
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sg_match_ft_acum_away : goals difference in the season; accumulated until the last match
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goals_scored_ht_avg_away: average away team goals scored in 1st time in the season; accumulated until the last match
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goals_conced_ht_avg_away: average away team goals conceded in 1st time in the season; accumulated until the last match
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sg_match_ht_acum_away : goals difference in 1st time in the season; accumulated until the last match
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performance_acum_away : away team percentage of points gains in the season; accumulated until the last match
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File diff suppressed because it is too large
Load Diff
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import pandas as pd
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from simpful import *
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df = pd.read_csv('df_full_premierleague.csv')
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# Ostatnie 5 spotkań
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#Forma: 0-6 punktow = słaba, średnia 6-10, dobra 10-15 punktow
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#Bilans bramek ujemny dodatni
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#Strzały 6- mało pomiędzy średnio 12 - dużo
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#Posiadanie piłki słabe 30-40, średnie = 40-55, dobre = 56-64
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#Podania ponizej 300-400 słabo powyżej 500 dużo
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def generateTrainingData(dataframe):
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columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes',
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'home_possession','away_possession','home_shots','away_shots']
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return dataframe[columns]
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def last5Matches(sezon, druzynaA, data, df):
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# Wybierz rekordy dla danej pary drużyn i sezonu
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subset = df[((df['season'] == sezon) & ((df['home_team'] == druzynaA) | (df['away_team'] == druzynaA)))]
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# Filtruj dane, aby zawierały te przed daną datą
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przed_dana_data = subset[pd.to_datetime(subset['date']) < pd.to_datetime(data)]
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# Posortuj wg daty w odwrotnej kolejności
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przed_dana_data = przed_dana_data.sort_values(by='date', ascending=False)
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# Wybierz 5 ostatnich przed daną datą
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ostatnie_przed_data = przed_dana_data.head(5)
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return ostatnie_przed_data
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def getResult(score,teamHome):
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x,y = score.split('-')
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x = int(x)
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y = int(y)
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if (x > y and teamHome == True) or (x < y and teamHome == False):
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return "win"
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elif x == y:
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return "draw"
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else:
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return "loss"
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def calculatePoints(matches, team):
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points = 0
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for index, row in matches.iterrows():
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if team == row['home_team']:
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teamHome = True
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else:
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teamHome = False
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x = getResult(row['result_full'], teamHome)
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print(x)
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if x == "win":
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points = points + 3
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elif x == "draw":
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points = points + 1
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return points
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def calculateGoalDifference(matches, team):
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goal_diff = 0
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for index, row in matches.iterrows():
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if team == row['home_team']:
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teamHome = True
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else:
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teamHome = False
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x,y = row['result_full'].split('-')
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x = int(x)
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y = int(y)
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if teamHome:
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goal_diff = goal_diff + (x-y)
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else:
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goal_diff = goal_diff + (y-x)
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return goal_diff
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def categorize_passes(pass_count):
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if pass_count < 400:
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return 0 #słabo
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elif 400 <= pass_count <= 500:
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return 1 #średnio
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else:
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return 2 #dużo
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wynik = last5Matches('10/11', 'Stoke City', '2010-10-02', df)
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#print(wynik.to_markdown())
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print(wynik)
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#wynik = last5Matches('10/11', 'Blackburn Rovers', '2010-10-02', df)
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#print(wynik.to_markdown())
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#print(wynik)
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print(calculatePoints(wynik,'Stoke City'))
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print(calculateGoalDifference(wynik, 'Stoke City'))
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df = generateTrainingData(df)
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print(df)
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@ -0,0 +1,41 @@
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import simpful
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def kategoryzuj_strzaly(ilosc_strzalow):
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FS = FuzzySystem()
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TLV = AutoTriangle(3, terms=['mało', 'średnio', 'dużo'], universe_of_discourse=[0, 25])
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FS.add_linguistic_variable("strzaly", TLV)
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shots1 = TriangleFuzzySet(0, 0, 6, term='mało')
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shots2 = TriangleFuzzySet(6, 12, 18, term='średnio')
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shots3 = TriangleFuzzySet(12, 25, 25, term='dużo')
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FS.add_linguistic_variable("bilans", LinguisticVariable([shots1, shots2, shots3], universe_of_discourse=[0, 25]))
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FS.add_rules(["IF strzaly IS mało THEN bilans IS mało",
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"IF strzaly IS średnio THEN bilans IS średnio",
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"IF strzaly IS dużo THEN bilans IS dużo"])
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FS.set_variable("strzaly", ilosc_strzalow)
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bilans = FS.inference()
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if bilans['bilans'] >= 12:
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return 2
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elif bilans['bilans'] <= 6:
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return 0
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else:
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return 1
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def kategorie_strzalow(druzyna, sezon, data, df):
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ostatnie_spotkania = last5Matches(sezon, druzyna, data, df)
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shots = []
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for index, spotkanie in ostatnie_spotkania.iterrows():
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if spotkanie['home_team'] == druzyna:
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ilosc_strzalow = spotkanie['home_shots']
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else:
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ilosc_strzalow = spotkanie['away_shots']
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kategoria = kategoryzuj_strzaly(ilosc_strzalow)
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shots.append(kategoria)
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ostatnie_spotkania['cat_shots'] = shots
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return ostatnie_spotkania
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