def keypasses(Df,hometeam,homeid,awayteam,awayid):
df = Df.copy()
pitch = Pitch(pitch_type='statsbomb', figsize=(10,5), line_zorder=2, layout=(1,2),
line_color='k', orientation='horizontal',constrained_layout=True, tight_layout=False)
fig, ax = pitch.draw()
homedef = df.query("(teamId==@homeid)&(KP == 1)&(endX!=0)&(endY!=0)")
awaydef = df.query("(teamId==@awayid)&(KP == 1)&(endX!=0)&(endY!=0)")
# homemask = homedef.outcomeType_displayName == 'Successful'
# awaymask = awaydef.outcomeType_displayName == 'Successful'
pitch.arrows(homedef.x,80-homedef.y,homedef.endX,80-homedef.endY,headwidth=5, headlength=5,
zorder=5,color='#fee090',width=1,ax=ax[0])
# pitch.lines(homedef[~homemask].x,80-homedef[~homemask].y,homedef[~homemask].endX,80-homedef[~homemask].endY,
# zorder=5,color='tab:red',linewidth=2,comet=True,ax=ax[0])
pitch.arrows(awaydef.x,80-awaydef.y,awaydef.endX,80-awaydef.endY,headwidth=5, headlength=5,
zorder=5,color='#fee090',width=1,ax=ax[1])
# pitch.lines(awaydef[~awaymask].x,80-awaydef[~awaymask].y,awaydef[~awaymask].endX,80-awaydef[~awaymask].endY,
# zorder=5,color='tab:red',linewidth=2,comet=True,ax=ax[1])
ax[0].set_title(hometeam+'\n'+'Key Passes',fontsize=30)
ax[1].set_title(awayteam+'\n'+'Key Passes',fontsize=30)
fig.text(0.0, 0.0, "Created by Soumyajit Bose / @Soumyaj15209314",fontstyle="italic",fontsize=15,color='#edece9')
# add_image(bu_alt, fig, left=0.9, bottom=0.01, width=0.07)
return fig
def badpasses(Df,hometeam,homeid):
df = Df.copy()
pitch = Pitch(pitch_type='statsbomb', figsize=(10,4.5), line_zorder=2, layout=(1,2),
line_color='k', orientation='horizontal',constrained_layout=True, tight_layout=False)
fig, ax = pitch.draw()
def3rd = df.query("(teamId==@homeid)&(type_displayName == 'Pass')&(x<40)")
mid3rd = df.query("(teamId==@homeid)&(type_displayName == 'Pass')&(x>=40)&(x<80)")
defmask = def3rd.outcomeType_displayName == 'Successful'
midmask = mid3rd.outcomeType_displayName == 'Successful'
# awaymask = awaydef.outcomeType_displayName == 'Successful'
pitch.arrows(def3rd[~defmask].x,80-def3rd[~defmask].y,def3rd[~defmask].endX,80-def3rd[~defmask].endY,
headwidth=5, headlength=5,zorder=5,color='tab:red',width=1,ax=ax[0])
# pitch.lines(homedef[~homemask].x,80-homedef[~homemask].y,homedef[~homemask].endX,80-homedef[~homemask].endY,
# zorder=5,color='tab:red',linewidth=2,comet=True,ax=ax[0])
pitch.arrows(mid3rd[~midmask].x,80-mid3rd[~midmask].y,mid3rd[~midmask].endX,80-mid3rd[~midmask].endY,
headwidth=5, headlength=5,zorder=5,color='tab:red',width=1,ax=ax[1])
# pitch.lines(awaydef[~awaymask].x,80-awaydef[~awaymask].y,awaydef[~awaymask].endX,80-awaydef[~awaymask].endY,
# zorder=5,color='tab:red',linewidth=2,comet=True,ax=ax[1])
ax[0].set_title(hometeam+' Unsuccessful Passes'+'\n'+'from defensive 3rd',fontsize=20)
ax[1].set_title(hometeam+' Unsuccessful Passes'+'\n'+'from middle 3rd',fontsize=20)
# fig.text(0.0, 0.05, "All unsuccessful passes originating from defensive third of the pitch",fontstyle="italic",fontsize=15,color='#edece9')
fig.text(0.0, 0.0, "Created by Soumyajit Bose / @Soumyaj15209314",fontstyle="italic",fontsize=15,color='#edece9')
# add_image(bu_alt, fig, left=0.9, bottom=0.0, width=0.07)
return fig
constrained_layout=True,
tight_layout=False)
fig, ax = pitch.draw()
fig.set_facecolor('#22312b')
for i, pas in Passes.iterrows():
x = pas['location'][0]
y = pas['location'][1]
endx = pas['pass_end_location'][0]
endy = pas['pass_end_location'][1]
name = pas['player_name'] == 'Virgil van Dijk'
if name:
pitch.scatter(x,
y,
ax=ax,
s=100,
edgecolor='black',
facecolor='cornflowerblue')
pitch.arrows(x,
y,
endx,
endy,
width=2,
headwidth=10,
headlength=10,
color='#ad993c',
ax=ax,
label='completed passes')
ax.set_title('VVD vs Spurs', color='#dee6ea', fontsize=25)
# Setup the pitch
pitch = Pitch(pitch_type='statsbomb',
orientation='horizontal',
pitch_color='#22312b',
line_color='#c7d5cc',
figsize=(16, 11),
constrained_layout=False,
tight_layout=True)
fig, ax = pitch.draw()
# Plot the completed passes
pitch.arrows(df_pass[mask_complete].x,
df_pass[mask_complete].y,
df_pass[mask_complete].pass_end_x,
df_pass[mask_complete].pass_end_y,
width=2,
headwidth=10,
headlength=10,
color='#ad993c',
ax=ax,
label='completed passes')
# Plot the other passes
pitch.arrows(df_pass[~mask_complete].x,
df_pass[~mask_complete].y,
df_pass[~mask_complete].pass_end_x,
df_pass[~mask_complete].pass_end_y,
width=2,
headwidth=6,
headlength=5,
headaxislength=12,
color='#ba4f45',
def getTeamTotalPasses(events_df, teamId, team, opponent, pitch_color):
"""
Parameters
----------
events_df : DataFrame of all events.
teamId : ID of the team, the passes of which are required.
team : Name of the team, the passes of which are required.
opponent : Name of opponent team.
pitch_color : color of the pitch.
Returns
-------
Pitch Plot.
"""
# Get Total Passes
passes_df = events_df.loc[events_df['type'] == 'Pass'].reset_index(
drop=True)
# Get Team Passes
team_passes = passes_df.loc[passes_df['teamId'] == teamId]
successful_passes = team_passes.loc[team_passes['outcomeType'] ==
'Successful'].reset_index(drop=True)
unsuccessful_passes = team_passes.loc[
team_passes['outcomeType'] == 'Unsuccessful'].reset_index(drop=True)
# Setup the pitch
pitch = Pitch(pitch_type='statsbomb',
pitch_color=pitch_color,
line_color='#c7d5cc',
figsize=(16, 11))
fig, ax = pitch.draw(constrained_layout=True, tight_layout=False)
# Plot the completed passes
pitch.arrows(successful_passes.x / 100 * 120,
80 - successful_passes.y / 100 * 80,
successful_passes.endX / 100 * 120,
80 - successful_passes.endY / 100 * 80,
width=1,
headwidth=10,
headlength=10,
color='#ad993c',
ax=ax,
label='Completed')
# Plot the other passes
pitch.arrows(unsuccessful_passes.x / 100 * 120,
80 - unsuccessful_passes.y / 100 * 80,
unsuccessful_passes.endX / 100 * 120,
80 - unsuccessful_passes.endY / 100 * 80,
width=1,
headwidth=6,
headlength=5,
headaxislength=12,
color='#ba4f45',
ax=ax,
label='Blocked')
# setup the legend
ax.legend(facecolor=pitch_color,
handlelength=5,
edgecolor='None',
fontsize=8,
loc='upper left',
shadow=True)
# Set the title
fig.suptitle(f'{team} Passes vs {opponent}', y=1, fontsize=15)
# Set the subtitle
ax.set_title('Data : Whoscored/Opta',
fontsize=8,
loc='right',
fontstyle='italic',
fontweight='bold')
# Set the figure facecolor
fig.set_facecolor(pitch_color)
def passmap(Df, teamid, teamname, min1, max1):
pitch = Pitch(pitch_type='statsbomb',
orientation='vertical',
pitch_color='#000000',
line_color='#a9a9a9',
constrained_layout=True,
tight_layout=False,
linewidth=0.5)
fig, ax = pitch.draw()
df = Df.copy()
df = df[(df.expandedMinute >= min1) & (df.expandedMinute <= max1)]
allplayers = df[(df.teamId == teamid) & (df.name.notna())].name.tolist()
playersubbedoff = df[(df.type_displayName == 'SubstitutionOff')
& (df.teamId == teamid)]['name'].tolist()
timeoff = df[(df.type_displayName == 'SubstitutionOff')
& (df.teamId == teamid)]['expandedMinute'].tolist()
playersubbedon = df[(df.type_displayName == 'SubstitutionOn')
& (df.teamId == teamid)]['name'].tolist()
timeon = df[(df.type_displayName == 'SubstitutionOn')
& (df.teamId == teamid)]['expandedMinute'].tolist()
majoritylist = []
minoritylist = []
for i in range(len(timeon)):
if ((timeon[i] >= min1) & (timeon[i] <= max1)):
player1min = timeon[i] - min1
player2min = max1 - timeon[i]
if (player1min >= player2min):
majoritylist.append(playersubbedoff[i])
minoritylist.append(playersubbedon[i])
else:
majoritylist.append(playersubbedon[i])
minoritylist.append(playersubbedoff[i])
players = list(set(allplayers) - set(minoritylist))
#return players
shirtNo = []
for p in players:
shirtNo.append(int(df[df.name == p]['shirtNo'].values[0]))
passes_df = df.query(
"(type_displayName=='Pass')&(name in @players)&(receiver in @players)&\
(outcomeType_displayName == 'Successful')&(teamId==@teamid)")
#passes_df.insert(29, column='passRecipientName', value=passes_df['name'].shift(-1))
passes_df.dropna(subset=["receiver"], inplace=True)
#passes_df['passer'] = passes_df['playerId']
#passes_df['recipient'] = passes_df['passer'].shift(-1)
passes_df = passes_df[passes_df.columns[~passes_df.isnull().all()]]
passes_df['playerKitNumber'] = passes_df['shirtNo'].fillna(0).astype(
np.int)
passes_df['playerKitNumberReceipt'] = passes_df['shirtNo'].shift(
-1).fillna(0).astype(np.int)
passer_avg = passes_df.groupby('playerKitNumber').agg({
'x': ['median'],
'y': ['median', 'count'],
'epv_value': ['sum']
})
passer_avg.columns = ['x', 'y', 'count', 'epv']
passer_avg.index = passer_avg.index.astype(int)
passes_formation = passes_df[[
'id', 'playerKitNumber', 'playerKitNumberReceipt'
]].copy()
passes_formation['kitNo_max'] = passes_formation[[
'playerKitNumber', 'playerKitNumberReceipt'
]].max(axis='columns')
passes_formation['kitNo_min'] = passes_formation[[
'playerKitNumber', 'playerKitNumberReceipt'
]].min(axis='columns')
passes_between = passes_formation.groupby(['kitNo_max', 'kitNo_min'
]).id.count().reset_index()
passes_between.rename({'id': 'pass_count'}, axis='columns', inplace=True)
# add on the location of each player so we have the start and end positions of the lines
passes_between = passes_between.merge(passer_avg,
left_on='kitNo_min',
right_index=True)
passes_between = passes_between.merge(passer_avg,
left_on='kitNo_max',
right_index=True,
suffixes=['', '_end'])
'''
#Between Passer and Recipient
passes_between = passes_df.groupby(['passer', 'recipient']).id.count().reset_index()
passes_between.rename({'id': 'pass_count'}, axis='columns', inplace=True)
passes_between = passes_between.merge(passer_avg, left_on='passer', right_index=True)
passes_between = passes_between.merge(passer_avg, left_on='recipient', right_index=True,
suffixes=['', '_end'])
'''
#Minimum No. of Passes
passes_between = passes_between.loc[(passes_between['pass_count'] >= 3)]
#Scaling for StatsBomb
passes_between['x'] = passes_between['x'] * 1.2
passes_between['y'] = passes_between['y'] * 0.8
passer_avg['x'] = passer_avg['x'] * 1.2
passer_avg['y'] = passer_avg['y'] * 0.8
passes_between['x_end'] = passes_between['x_end'] * 1.2
passes_between['y_end'] = passes_between['y_end'] * 0.8
#Width Variable
yo = passes_between.pass_count / passes_between.pass_count.max()
b = 1
min_transparency = 0.3
color = np.array(to_rgba('#00bfff'))
color = np.tile(color, (len(passes_between), 1))
c_transparency = passes_between.pass_count / passes_between.pass_count.max(
)
c_transparency = (c_transparency *
(1 - min_transparency)) + min_transparency
color[:, 3] = c_transparency
a = plt.scatter(passer_avg.y,
passer_avg.x,
s=100,
c="#111111",
facecolor='none',
lw=1,
cmap="winter",
alpha=1,
zorder=2,
vmin=0,
vmax=0.6,
marker='h')
c = plt.scatter(passer_avg.y,
passer_avg.x,
s=60,
c='#FF0000',
alpha=1,
zorder=3,
marker='h')
pitch.arrows(passes_between.x,
passes_between.y,
passes_between.x_end,
passes_between.y_end,
color=color,
ax=ax,
zorder=1,
width=1.5)
cbar = plt.colorbar(a,
orientation="horizontal",
shrink=0.3,
pad=0,
ticks=[0, 0.2, 0.4, 0.6])
cbar.set_label('Expected Possession Value (EPV)', color='#a9a9a9', size=6)
cbar.outline.set_edgecolor('#a9a9a9')
cbar.ax.xaxis.set_tick_params(color='#a9a9a9')
cbar.ax.xaxis.set_tick_params(labelcolor='#a9a9a9')
cbar.ax.tick_params(labelsize=5)
plt.gca().invert_xaxis()
for index, row in passer_avg.iterrows():
pitch.annotate(row.name,
xy=(row.x, row.y),
c='#a9a9a9',
va='center',
ha='center',
size=5,
ax=ax)
plt.text(
79,
2,
"Positions = Median Location of Successful Passes\nArrows = Pass Direction\nTransparency = Frequency of Combination\nMinimum of 3 Passes ",
color='#a9a9a9',
fontsize=5,
alpha=0.5,
zorder=1)
plt.text(80, 122, "Minutes 45-90", color='#a9a9a9', fontsize=5)
plt.text(18, 122, "@nikhilrajesh231", color='#a9a9a9', fontsize=5)
ax.set_title("Barcelona PV Pass Network\n5-2 vs Getafe (H)",
fontsize=8,
color="#a9a9a9",
fontweight='bold',
y=1.01)
fig = plt.savefig('pn2.png',
bbox_inches="tight",
facecolor="#000000",
dpi=600)
return fig