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team_vs_teamAnalysis.py
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import pandas as pd
import seaborn as sns
import streamlit as st
import plotly.express as px
import matplotlib.pyplot as plt
from scrollToTop import create_scroll_to_top_button
from datasetPreprocessing import new_matchesDF, new_deliveriesDF
###########################################################
# -------------> MAPPING TEAM TO COLORS <------------
###########################################################
def gen_colors(t1, t2):
team_colors = {
'Mumbai Indians': 'blue',
'Chennai Super Kings': 'yellow',
'Royal Challengers Bangalore': 'green',
'Royal Challengers Bengaluru': 'green',
'Sunrisers Hyderabad': 'orange',
'Delhi Capitals': 'lightblue',
'Delhi Daredevils': 'lightblue',
'Kolkata Knight Riders': 'purple',
'Kings XI Punjab': 'red',
'Punjab Kings': 'red',
'Rajasthan Royals': 'magenta',
'Deccan Chargers': 'darkblue',
'Kochi Tuskers Kerala': 'teal',
'Pune Warriors': 'skyblue',
'Gujarat Lions': 'darkorange',
'Rising Pune Supergiants': 'darkred',
'Rising Pune Supergiant': 'darkred',
'Lucknow Super Giants': 'navyblue',
'Gujarat Titans': 'gold'
}
# default == 'grey' if not found
color_t1 = team_colors.get(t1, 'grey')
color_t2 = team_colors.get(t2, 'grey')
return [color_t1, color_t2]
def app():
st.markdown(
''' <h1 style='text-align:center; color: #259073;'><strong> 🎯 TEAM V/S TEAM ANALYSIS 🎯</strong></h1>
<hr style="border-top: 3px solid #259073;">
''',
unsafe_allow_html=True
)
combine_df = new_matchesDF.merge(
new_deliveriesDF,
left_on='id',
right_on='match_id',
how='left'
)
Teams = new_matchesDF.team1.unique().tolist()
c1, c2 = st.columns(2)
with c1:
t1 = st.selectbox("Select Team 1", Teams)
with c2:
t2 = st.selectbox("Select Team 2", Teams)
if t1 == t2:
st.markdown(
f"<h5 style='text-align: center; color: red;'> ⚠ Oops! Looks Like Team1 and Team2 Are Same ⚠</h5>",
unsafe_allow_html=True
)
else:
colors = gen_colors(t1, t2)
Analyze = st.button('Analyze')
if Analyze:
st.markdown(
f"<h3 style='text-align: center;'> {t1} vs {t2} </h3>",
unsafe_allow_html=True
)
# Total Match Played
t1_batting = new_matchesDF[
(new_matchesDF['team1'] == t1) & (new_matchesDF['team2'] == t2)
]
t2_batting = new_matchesDF[
(new_matchesDF['team1'] == t2) & (new_matchesDF['team2'] == t1)
]
total = pd.concat(
[t1_batting, t2_batting],
ignore_index=True
)
if total.empty:
st.markdown(
f"<h5 style='text-align: center; color: red;'> ⚠ {t1} and {t2} have not played any matches together ⚠</h5>",
unsafe_allow_html=True
)
else:
###########################################################
# ---------------------> WINNER <--------------------
###########################################################
fig = plt.figure(
figsize=(6, 4)
)
ax = sns.countplot(
total['winner'],
palette=colors
)
ax.bar_label(ax.containers[0])
plt.title(f'{t1} vs {t2} : Match Winners', fontsize=10)
plt.xlabel('Teams')
plt.ylabel('Winning Count')
st.pyplot(
fig,
transparent=True
)
###########################################################
# --------------------> TOSS WINS <-------------------
###########################################################
st.image("Images/divider.png")
fig = plt.figure(
figsize=(6, 4)
)
print(total['toss_winner'].value_counts())
ax = sns.countplot(
total['toss_winner'],
palette=colors
)
ax.bar_label(ax.containers[0])
plt.title(
f'{t1} vs {t2} : Toss Winners',
fontsize=10
)
plt.xlabel('Teams')
plt.ylabel('Winning Count')
st.pyplot(
fig,
transparent=True
)
###########################################################
# ---------------> PLAYER OF THE MATCH <--------------
###########################################################
st.image("Images/divider.png")
fig = plt.figure(
figsize=(6, 8)
)
ax = sns.countplot(
y=total['player_of_match'],
hue=total['winner'],
order=total['player_of_match'].value_counts().index,
palette=colors
)
if len(ax.containers) > 0:
ax.bar_label(ax.containers[0])
if len(ax.containers) > 1:
ax.bar_label(ax.containers[1])
legend = plt.legend()
frame = legend.get_frame()
frame.set_facecolor('black')
st.pyplot(
fig,
transparent=True
)
t1_batting = combine_df[
(
(combine_df['batting_team'] == t1) &
(combine_df['bowling_team'] == t2)
)
]
t2_batting = combine_df[
(
(combine_df['batting_team'] == t2) &
(combine_df['bowling_team'] == t1)
)
]
total_del = pd.concat(
[t1_batting, t2_batting],
ignore_index=True
)
###########################################################
# ---------------> BATTING TEAM T1 AVG <--------------
###########################################################
st.image("Images/divider.png")
temp = total_del.groupby(
[
'season',
'match_id',
'inning',
'batting_team',
'bowling_team'
]
)['total_runs'].sum().reset_index()
temp = temp[
temp['inning'] < 3
]
runs = temp[temp.batting_team == t1]['total_runs',
'season', 'match_id', 'inning']
runs_avg = runs.groupby(by='season').mean().reset_index()
fig = px.line(
data_frame=runs_avg,
x='season',
y='total_runs',
title=f'{t1} vs {t2} : {t1} Average Total Score',
labels={
'total_runs': "Runs",
'season': f"Bowling :{t2}"
}
)
st.plotly_chart(
fig,
transparent=True,
use_container_width=True
)
###########################################################
# ---------------> BATTING TEAM T2 AVG <--------------
###########################################################
st.image("Images/divider.png")
fig = plt.figure(
figsize=(10, 4)
)
temp = total_del.groupby(
[
'season',
'match_id',
'inning',
'batting_team',
'bowling_team'
]
)['total_runs'].sum().reset_index()
temp = temp[
temp['inning'] < 3
]
runs = temp[temp.batting_team == t2][
['total_runs', 'season', 'match_id', 'inning']]
runs_avg = runs.groupby(by='season').mean().reset_index()
fig = px.line(
data_frame=runs_avg,
x='season',
y='total_runs',
title=f'{t1} vs {t2} : {t2} Average Total Score',
labels={
'total_runs': "Runs",
'season': f"Bowling :{t1}"
}
)
st.plotly_chart(
fig,
transparent=True,
use_container_width=True
)
###########################################################
# -----------> MATCHES WINS BASED ON CITY <----------
###########################################################
st.image("Images/divider.png")
st.markdown(
f"<h4 style='text-align: center; color: white;'> {t1} vs {t2} : Match Win Based On City </h4>",
unsafe_allow_html=True
)
fig = plt.figure(
figsize=(10, 4)
)
ax = sns.countplot(
x=total['city'],
hue=total['winner'],
palette=colors
)
if len(ax.containers) > 0:
ax.bar_label(ax.containers[0])
if len(ax.containers) > 1:
ax.bar_label(ax.containers[1])
legend = plt.legend()
frame = legend.get_frame()
frame.set_facecolor('black')
plt.title(
f'{t1} vs {t2} : Match Win Based On City',
fontsize=10
)
plt.xlabel('City Names')
plt.ylabel('frequency')
st.pyplot(
fig,
transparent=True,
use_container_width=True
)
###########################################################
# ----------------> HEAD TO HEAD INFO <---------------
###########################################################
st.image("Images/divider.png")
def info(team):
t = team
er = total_del[
total_del.bowling_team == t
]['extra_runs'].sum()
sixes = total_del[
(total_del['batting_team'] == t) &
(total_del['total_runs'] == 6)
].count()[0]
fours = total_del[
(total_del['batting_team'] == t) &
(total_del['total_runs'] == 4)
].count()[0]
doubles = total_del[
(total_del['batting_team'] == t) &
(total_del['total_runs'] == 2)
].count()[0]
singles = total_del[
(total_del['batting_team'] == t) &
(total_del['total_runs'] == 1)
].count()[0]
total_runs = total_del[
total_del['batting_team'] == t
]['total_runs'].sum()
return [er, sixes, fours, doubles, singles, total_runs]
df = pd.DataFrame(
columns=[
'info',
f'{t1}',
f'{t2}'
],
index=None
)
df['info'] = [
'Extra Runs',
'Sixes',
'Fours',
'Doubles',
'Singles',
'Total Runs'
]
df[f'{t1}'] = info(t1)
df[f'{t2}'] = info(t2)
st.markdown(
f"<h4 style='text-align: center; color: white;'> HEAD TO HEAD INFO </h4>", unsafe_allow_html=True)
st.table(df)
###########################################################
# ------------------> TEAM T1 SIXES <-----------------
###########################################################
st.image("Images/divider.png")
st.markdown(
f"<h4 style='text-align: center; color: white;'> Team {t1} Players Total Sixes Against {t2} </h4>",
unsafe_allow_html=True
)
fig = plt.figure(
figsize=(12, 10),
dpi=150
)
t1_player_six = total_del[
(total_del['batting_team'] == t1) &
(total_del['total_runs'] == 6)
]['batter']
ax = sns.countplot(
y=t1_player_six,
order=t1_player_six.value_counts().iloc[:10].index
)
ax.bar_label(ax.containers[0])
plt.title(
f"Number of Sixes Hitted By Players of Team {t1} vs {t2}"
)
plt.ylabel('Players')
plt.xlabel('Number of Sixes')
st.pyplot(
fig,
transparent=True
)
###########################################################
# ------------------> TEAM T1 FOURS <-----------------
###########################################################
st.image("Images/divider.png")
st.markdown(
f"<h4 style='text-align: center; color: white;'> Team {t1} Players Total Fours Against {t2} </h4>",
unsafe_allow_html=True
)
fig = plt.figure(
figsize=(12, 10),
dpi=150
)
t1_player_six = total_del[
(total_del['batting_team'] == t1) &
(total_del['total_runs'] == 4)
]['batter']
ax = sns.countplot(
y=t1_player_six,
order=t1_player_six.value_counts().iloc[:10].index
)
ax.bar_label(ax.containers[0])
plt.title(
f"Number of Fours Hitted By Players of Team {t1} vs {t2}"
)
plt.ylabel('Players')
plt.xlabel('Number of Fours')
st.pyplot(
fig,
transparent=True
)
###########################################################
# ------------------> TEAM T2 SIXES <-----------------
###########################################################
st.image("Images/divider.png")
st.markdown(
f"<h4 style='text-align: center; color: white;'> Team {t2} Players Total Sixes Against {t1} </h4>",
unsafe_allow_html=True
)
fig = plt.figure(
figsize=(12, 10),
dpi=150
)
t1_player_six = total_del[
(total_del['batting_team'] == t2) &
(total_del['total_runs'] == 6)
]['batter']
ax = sns.countplot(
y=t1_player_six,
order=t1_player_six.value_counts().iloc[:10].index
)
ax.bar_label(ax.containers[0])
plt.title(
f"Number of Sixes Hitted By Players of Team {t2} vs {t1}"
)
plt.ylabel('Players')
plt.xlabel('Number of Sixes')
st.pyplot(
fig,
transparent=True
)
###########################################################
# ------------------> TEAM T2 FOURS <-----------------
###########################################################
st.image("Images/divider.png")
st.markdown(
f"<h4 style='text-align: center; color: white;'> Team {t2} Players Total Fours Against {t1} </h4>",
unsafe_allow_html=True
)
fig = plt.figure(
figsize=(12, 10),
dpi=150
)
t1_player_six = total_del[
(total_del['batting_team'] == t2) &
(total_del['total_runs'] == 4)
]['batter']
ax = sns.countplot(
y=t1_player_six,
order=t1_player_six.value_counts().iloc[:10].index
)
ax.bar_label(ax.containers[0])
plt.title(
f"Number of fours Hitted By Players of Team {t2} vs {t1}",
)
plt.ylabel('Players')
plt.xlabel('Number of fours')
st.pyplot(
fig,
transparent=True
)
st.image("Images/divider.png")
create_scroll_to_top_button(key_suffix="teamAnalysis")
st.image("Images/divider.png")