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import streamlit as st
import pandas as pd
import joblib
def main():
st.title("FIFA winner predication")
st.write('This app predict 2022 FIFA winner')
if st.button("Predict FIFA Winner"):
last_team_scores = pd.read_csv('./data/last_team_scores.csv')
last_team_scores.tail()
squad_stats = pd.read_csv('./data/squad_stats.csv')
squad_stats.tail()
group_matches = pd.read_csv('./data/Qatar_group_stage.csv')
round_16 = group_matches.iloc[48:56, :]
quarter_finals = group_matches.iloc[56:60, :]
semi_finals = group_matches.iloc[60:62, :]
final = group_matches.iloc[62:63, :]
second_final = group_matches.iloc[63:64, :]
group_matches = group_matches.iloc[:48, :]
group_matches.tail()
xgb_gs_model = joblib.load("./groups_stage_prediction.pkl")
xgb_ks_model = joblib.load("./knockout_stage_prediction.pkl")
team_group = group_matches.drop(['country2'], axis=1)
team_group = team_group.drop_duplicates().reset_index(drop=True)
team_group = team_group.rename(columns={"country1": "team"})
team_group.head(5)
def matches(g_matches):
g_matches.insert(2, 'potential1',
g_matches['country1'].map(squad_stats.set_index('nationality_name')['potential']))
g_matches.insert(3, 'potential2',
g_matches['country2'].map(squad_stats.set_index('nationality_name')['potential']))
g_matches.insert(4, 'rank1', g_matches['country1'].map(last_team_scores.set_index('team')['rank']))
g_matches.insert(5, 'rank2', g_matches['country2'].map(last_team_scores.set_index('team')['rank']))
pred_set = []
for index, row in g_matches.iterrows():
if row['potential1'] > row['potential2'] and abs(row['potential1'] - row['potential2']) > 2:
pred_set.append({'Team1': row['country1'], 'Team2': row['country2']})
elif row['potential2'] > row['potential1'] and abs(row['potential2'] - row['potential1']) > 2:
pred_set.append({'Team1': row['country2'], 'Team2': row['country1']})
else:
if row['rank1'] > row['rank2']:
pred_set.append({'Team1': row['country1'], 'Team2': row['country2']})
else:
pred_set.append({'Team1': row['country2'], 'Team2': row['country1']})
pred_set = pd.DataFrame(pred_set)
pred_set.insert(2, 'Team1_FIFA_RANK', pred_set['Team1'].map(last_team_scores.set_index('team')['rank']))
pred_set.insert(3, 'Team2_FIFA_RANK', pred_set['Team2'].map(last_team_scores.set_index('team')['rank']))
pred_set.insert(4, 'Team1_Goalkeeper_Score',
pred_set['Team1'].map(last_team_scores.set_index('team')['goalkeeper_score']))
pred_set.insert(5, 'Team2_Goalkeeper_Score',
pred_set['Team2'].map(last_team_scores.set_index('team')['goalkeeper_score']))
pred_set.insert(6, 'Team1_Defense', pred_set['Team1'].map(last_team_scores.set_index('team')['defense_score']))
pred_set.insert(7, 'Team1_Offense', pred_set['Team1'].map(last_team_scores.set_index('team')['offense_score']))
pred_set.insert(8, 'Team1_Midfield',
pred_set['Team1'].map(last_team_scores.set_index('team')['midfield_score']))
pred_set.insert(9, 'Team2_Defense', pred_set['Team2'].map(last_team_scores.set_index('team')['defense_score']))
pred_set.insert(10, 'Team2_Offense', pred_set['Team2'].map(last_team_scores.set_index('team')['offense_score']))
pred_set.insert(11, 'Team2_Midfield',
pred_set['Team2'].map(last_team_scores.set_index('team')['midfield_score']))
return pred_set
def print_results(dataset, y_pred, matches, proba):
results = []
for i in range(dataset.shape[0]):
print()
if y_pred[i] == 2:
print(matches.iloc[i, 0] + " vs. " + matches.iloc[i, 1] + " => Draw")
results.append({'result': 'Draw'})
elif y_pred[i] == 1:
print(matches.iloc[i, 0] + " vs. " + matches.iloc[i, 1] + " => Winner: " + dataset.iloc[i, 0])
results.append({'result': dataset.iloc[i, 0]})
else:
print(matches.iloc[i, 0] + " vs. " + matches.iloc[i, 1] + " => Winner: " + dataset.iloc[i, 1])
results.append({'result': dataset.iloc[i, 1]})
try:
print('Probability of ' + dataset.iloc[i, 0] + ' winning: ', '%.3f' % (proba[i][1]))
print('Probability of Draw: ', '%.3f' % (proba[i][2]))
print('Probability of ' + dataset.iloc[i, 1] + ' winning: ', '%.3f' % (proba[i][0]))
except:
print('Probability of ' + dataset.iloc[i, 1] + ' winning: ', '%.3f' % (proba[i][0]))
print("")
results = pd.DataFrame(results)
matches = pd.concat([matches.group, results], axis=1)
return matches
def winner_to_match(round, prev_match):
round.insert(0, 'c1', round['country1'].map(prev_match.set_index('group')['result']))
round.insert(1, 'c2', round['country2'].map(prev_match.set_index('group')['result']))
round = round.drop(['country1', 'country2'], axis=1)
round = round.rename(columns={'c1': 'country1', 'c2': 'country2'}).reset_index(drop=True)
return round
def prediction_knockout(round):
dataset_round = matches(round)
prediction_round = xgb_ks_model.predict(dataset_round)
proba_round = xgb_ks_model.predict_proba(dataset_round)
# prediction_round = ada_ks_model.predict(dataset_round)
# proba_round = ada_ks_model.predict_proba(dataset_round)
# prediction_round = rf_ks_model.predict(dataset_round)
# proba_round = rf_ks_model.predict_proba(dataset_round)
results_round = print_results(dataset_round, prediction_round, round, proba_round)
return results_round
def center_str(round):
spaces = ['', ' ', ' ', ' ', ' ', ' ', ]
for j in range(2):
for i in range(round.shape[0]):
if (13 - len(round.iloc[i, j])) % 2 == 0:
round.iloc[i, j] = spaces[int((13 - len(round.iloc[i, j])) / 2)] + round.iloc[i, j] + spaces[
int((13 - len(round.iloc[i, j])) / 2)]
else:
round.iloc[i, j] = spaces[int(((13 - len(round.iloc[i, j])) / 2) - 0.5)] + round.iloc[i, j] + \
spaces[int(((13 - len(round.iloc[i, j])) / 2) + 0.5)]
return round
def center2(a):
spaces = ['', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ',
' ', ' ', ' ', ' ', ' ',
' ', ' ', ' ', ' ',
' ']
if (29 - len(a)) % 2 == 0:
a = spaces[int((29 - len(a)) / 2)] + a + spaces[int((29 - len(a)) / 2)]
else:
a = spaces[int(((29 - len(a)) / 2) - 0.5)] + a + spaces[int(((29 - len(a)) / 2) + 0.5)]
return a
dataset_groups = matches(group_matches)
dataset_groups.tail()
print(dataset_groups)
prediction_groups = xgb_gs_model.predict(dataset_groups)
proba = xgb_gs_model.predict_proba(dataset_groups)
# prediction_groups = ada_gs_model.predict(dataset_groups)
# proba = ada_gs_model.predict_proba(dataset_groups)
# prediction_groups = rf_gs_model.predict(dataset_groups)
# proba = rf_gs_model.predict_proba(dataset_groups)
results = print_results(dataset_groups, prediction_groups, group_matches, proba)
team_group['points'] = 0
team_group
for i in range(results.shape[0]):
for j in range(team_group.shape[0]):
if results.iloc[i, 1] == team_group.iloc[j, 0]:
team_group.iloc[j, 2] += 3
print(team_group.groupby(['group', 'team']).mean().astype(int))
round_of_16 = team_group[team_group['points'] > 5].reset_index(drop=True)
round_of_16['group'] = (4 - 1 / 3 * round_of_16.points).astype(int).astype(str) + round_of_16.group
round_of_16 = round_of_16.rename(columns={"team": "result"})
round_16 = winner_to_match(round_16, round_of_16)
results_round_16 = prediction_knockout(round_16)
quarter_finals = winner_to_match(quarter_finals, results_round_16)
results_quarter_finals = prediction_knockout(quarter_finals)
semi_finals = winner_to_match(semi_finals, results_quarter_finals)
results_finals = prediction_knockout(semi_finals)
final = winner_to_match(final, results_finals)
winner = prediction_knockout(final)
second = results_finals[~results_finals.result.isin(winner.result)]
results_finals_3 = results_quarter_finals[~results_quarter_finals.result.isin(results_finals.result)]
results_finals_3.iloc[0, 0] = 'z1'
results_finals_3.iloc[1, 0] = 'z2'
second_final = winner_to_match(second_final, results_finals_3)
third = prediction_knockout(second_final)
round_16 = center_str(round_16)
quarter_finals = center_str(quarter_finals)
semi_finals = center_str(semi_finals)
final = center_str(final)
group_matches = center_str(group_matches)
# Function to center align text
def center(text):
return f"<div style='text-align: center;'>{text}</div>"
# Function to generate the formatted text
def generate_text(round_16, quarter_finals, semi_finals, final):
formatted_text = (
round_16.iloc[
0, 0] + '━━━━┓ ┏━━━━' +
round_16.iloc[4, 0] + '\n' +
' ┃ ┃\n' +
' ┃━━━━' + quarter_finals.iloc[
0, 0] + '━━━━┓ ┏━━━━' +
quarter_finals.iloc[2, 0] + '━━━━┃\n' +
' ┃ ┃ ┃ ┃\n' +
round_16.iloc[
0, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
round_16.iloc[4, 1] + '\n' +
' ┃━━━━' + semi_finals.iloc[
0, 0] + '━━━━┓ ┏━━━━' + semi_finals.iloc[1, 0] + '━━━━┃\n' +
round_16.iloc[
1, 0] + '━━━━┓ ┃ ┃ ┃ ┃ ┏━━━━' +
round_16.iloc[5, 0] + '\n' +
' ┃ ┃ ┃ ┃ ┃ ┃\n' +
' ┃━━━━' + quarter_finals.iloc[
0, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
quarter_finals.iloc[2, 1] + '━━━━┃\n' +
' ┃ ┃ ┃ ┃\n' +
round_16.iloc[
1, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
round_16.iloc[5, 1] + '\n' +
' ┃━━━━' + final.iloc[0, 0] + 'vs.' +
final.iloc[0, 1] + '━━━━┃\n' +
round_16.iloc[
2, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
round_16.iloc[6, 0] + '\n' +
' ┃ ┃ ┃ ┃\n' +
' ┃━━━━' + quarter_finals.iloc[
1, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
quarter_finals.iloc[3, 0] + '━━━━┃\n' +
' ┃ ┃ ┃ ┃ ┃ ┃\n' +
round_16.iloc[
2, 1] + '━━━━┛ ┃ ┃ ┃ ┃ ┗━━━━' +
round_16.iloc[6, 1] + '\n' +
' ┃━━━━' + semi_finals.iloc[
0, 1] + '━━━━┛ ┗━━━━' + semi_finals.iloc[1, 1] + '━━━━┃\n' +
round_16.iloc[
3, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
round_16.iloc[7, 0] + '\n' +
' ┃ ┃ ┃ ┃\n' +
' ┃━━━━' + quarter_finals.iloc[
1, 1] + '━━━━┛ ┗━━━━' +
quarter_finals.iloc[3, 1] + '━━━━┃\n' +
' ┃ ┃\n' +
round_16.iloc[
3, 1] + '━━━━┛ ┗━━━━' +
round_16.iloc[7, 1] + '\n' +
" " + center(
"\U0001F947" + winner.iloc[0, 1]) + '\n' +
" " + center(
"\U0001F948" + second.iloc[0, 1]) + '\n' +
" " + center(
"\U0001F949" + third.iloc[0, 1])
)
return formatted_text
# Generate the formatted text
formatted_text = generate_text(round_16, quarter_finals, semi_finals, final)
# Define the round_16, quarter_finals, semi_finals, final DataFrames
# Replace the DataFrame creation with your actual data
# Display the formatted text
st.text(formatted_text)
# st.markdown(formatted_text)
print(round_16.iloc[
0, 0] + '━━━━┓ ┏━━━━' +
round_16.iloc[4, 0])
print(
' ┃ ┃')
print(' ┃━━━━' + quarter_finals.iloc[
0, 0] + '━━━━┓ ┏━━━━' +
quarter_finals.iloc[2, 0] + '━━━━┃')
print(
' ┃ ┃ ┃ ┃')
print(round_16.iloc[
0, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
round_16.iloc[4, 1])
print(' ┃━━━━' + semi_finals.iloc[
0, 0] + '━━━━┓ ┏━━━━' + semi_finals.iloc[1, 0] + '━━━━┃')
print(round_16.iloc[
1, 0] + '━━━━┓ ┃ ┃ ┃ ┃ ┏━━━━' +
round_16.iloc[5, 0])
print(
' ┃ ┃ ┃ ┃ ┃ ┃')
print(' ┃━━━━' + quarter_finals.iloc[
0, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
quarter_finals.iloc[2, 1] + '━━━━┃')
print(
' ┃ ┃ ┃ ┃')
print(round_16.iloc[
1, 1] + '━━━━┛ ┃ ┃ ┗━━━━' +
round_16.iloc[5, 1])
print(' ┃━━━━' + final.iloc[0, 0] + 'vs.' + final.iloc[
0, 1] + '━━━━┃')
print(round_16.iloc[
2, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
round_16.iloc[6, 0])
print(
' ┃ ┃ ┃ ┃')
print(' ┃━━━━' + quarter_finals.iloc[
1, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
quarter_finals.iloc[3, 0] + '━━━━┃')
print(
' ┃ ┃ ┃ ┃ ┃ ┃')
print(round_16.iloc[
2, 1] + '━━━━┛ ┃ ┃ ┃ ┃ ┗━━━━' +
round_16.iloc[6, 1])
print(' ┃━━━━' + semi_finals.iloc[
0, 1] + '━━━━┛ ┗━━━━' + semi_finals.iloc[1, 1] + '━━━━┃')
print(round_16.iloc[
3, 0] + '━━━━┓ ┃ ┃ ┏━━━━' +
round_16.iloc[7, 0])
print(
' ┃ ┃ ┃ ┃')
print(' ┃━━━━' + quarter_finals.iloc[
1, 1] + '━━━━┛ ┗━━━━' +
quarter_finals.iloc[3, 1] + '━━━━┃')
print(
' ┃ ┃')
print(round_16.iloc[
3, 1] + '━━━━┛ ┗━━━━' +
round_16.iloc[7, 1])
print(
" " + center2("\U0001F947" + winner.iloc[0, 1]))
print(
" " + center2("\U0001F948" + second.iloc[0, 1]))
print(
" " + center2("\U0001F949" + third.iloc[0, 1]))
if __name__ == "__main__":
main()
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