Brighton's Midfield Touchmap¶
Imports¶
In [236]:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.patheffects as path_effects
import matplotlib.font_manager as fm
import matplotlib.colors as mcolors
from matplotlib import cm
from highlight_text import fig_text, ax_text
from matplotlib.colors import LinearSegmentedColormap, Normalize
from matplotlib import cm
import matplotlib.gridspec as gridspec
# We'll only use a vertical pitch for this tutorial
from mplsoccer import VerticalPitch
from PIL import Image
import urllib
import json
import os
In [237]:
font_path = "../assets/fonts"
for x in os.listdir(font_path):
for y in os.listdir(f"{font_path}/{x}"):
if y.split(".")[-1] == "ttf":
fm.fontManager.addfont(f"{font_path}/{x}/{y}")
try:
fm.FontProperties(weight=y.split("-")[-1].split(".")[0].lower(), fname=y.split("-")[0])
except Exception:
continue
plt.style.use("../assets/stylesheets/soc_base.mplstyle")
Read and clean the data¶
In [238]:
f = open('data/brighton_leicester_09052022.json', encoding='utf-8')
data = json.load(f)
In [285]:
# Get the touches for the players that we want
players = [
{
'name':'Solly March',
'whoscored_id':'122926',
'country_id':'eng'
},
{
'name':'Pascal Groß',
'whoscored_id':'71824',
'country_id':'ger'
},
{
'name':'Alexis Mac Allister',
'whoscored_id':'345319',
'country_id':'arg'
},
{
'name':'Moisés Caicedo',
'whoscored_id':'410175',
'country_id':'ecu'
},
{
'name':'Leandro Trossard',
'whoscored_id':'113994',
'country_id':'bel'
},
{
'name':'Enock Mwepu',
'whoscored_id':'353191',
'country_id':'zam'
},
]
In [240]:
data_list = []
for player in players:
for d in data['events']:
try:
if (d['playerId'] == int(player['whoscored_id'])) & (d['isTouch']):
data_list.append(d)
except:
continue
In [241]:
x_ = [x['x'] for x in data_list]
y_ = [y['y'] for y in data_list]
playerId = [p['playerId'] for p in data_list]
# Inverted because we are using a vertical pitch
data = pd.DataFrame({'y':x_,'x':y_,'playerId':playerId})
Example for one player¶
In [247]:
data_test = data[data['playerId'] == 122926].reset_index(drop=True)
In [248]:
colors = [
'#efe9e6',
'#e9e1dd',
'#e3dad3',
'#dcd3c9',
'#d4ccc0',
'#ccc6b7',
'#c3bfae',
'#bab9a6',
'#b0b39e',
'#a6ad96',
'#9ba790',
'#90a18a',
'#849b84',
'#789680',
'#6c907c',
'#608a79',
'#538476',
'#467e74',
'#387872',
'#287271',
]
soc_cm = LinearSegmentedColormap.from_list('SOC', colors, N=50)
cm.register_cmap(name='SOC', cmap=soc_cm)
In [250]:
fig = plt.figure(figsize = (4,4), dpi = 100)
ax = plt.subplot(111)
pitch = VerticalPitch(
pitch_type='opta',
goal_type='box',
linewidth=1.25,
line_color='black',
)
pitch.draw(ax = ax)
pitch.kdeplot(
data_test.y, data_test.x,
ax=ax, shade=True,
levels=100, shade_lowest=True,
cut=4, zorder=-1, cmap='SOC')
ax.scatter(data_test.x, data_test.y, s=20, alpha=0.2, lw=1.5, color='#287271')
Out[250]:
<matplotlib.collections.PathCollection at 0x1f5c2b91988>
Make it into a function
In [310]:
def plot_kdetouches(ax, fig, playerId, countryId, playerName, df=data):
'''
Plot kde touches for a specific player.
'''
data = df.copy()
data_player = data[data['playerId'] == int(playerId)].reset_index(drop=True)
total_touches = data_player.shape[0]
touches_third = data_player[data_player['y'] >= (100*2)/3].shape[0]/total_touches
pitch = VerticalPitch(
pitch_type='opta',
goal_type='box',
linewidth=1.25,
line_color='black',
)
pitch.draw(ax=ax)
pitch.kdeplot(
data_player.y, data_player.x,
ax=ax, shade=True,
levels=100, shade_lowest=True,
cut=4, zorder=-1, cmap='SOC')
ax.scatter(data_player.x, data_player.y, s=10, alpha=0.2, lw=1.5, color='#287271')
# -- Transformation functions
ax.set_ylim(ax.get_ylim()[0], ax.get_ylim()[1])
ax.set_xlim(ax.get_xlim()[0], ax.get_xlim()[1])
DC_to_FC = ax.transData.transform
FC_to_NFC = fig.transFigure.inverted().transform
# -- Take data coordinates and transform them to normalized figure coordinates
DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))
ax_coords = DC_to_NFC((15,109))
ax_size = 0.018
image_ax = fig.add_axes(
[ax_coords[0], ax_coords[1], ax_size, ax_size],
fc='None', anchor='C'
)
fotmob_url = 'https://images.fotmob.com/image_resources/logo/teamlogo/'
player_face = Image.open(urllib.request.urlopen(f"{fotmob_url}{countryId}.png"))
image_ax.imshow(player_face)
image_ax.axis("off")
ax_text(
x=95, y=115,
s=f'{playerName}\n<touches {total_touches:.0f} | final third: {touches_third:.0%}>',
highlight_textprops=[{'size':7, 'weight':'normal'}],
ax=ax,
weight='bold',
size=10,
font='DM Sans',
ha='left'
)
return ax
In [318]:
layout_ = '''
ABC
DEF
'''
fig = plt.figure(figsize=(8,8), dpi=300)
axs = fig.subplot_mosaic(
layout_
)
counter = 0
for k, ax in axs.items():
playerId = players[counter]['whoscored_id']
countryId = players[counter]['country_id']
playerName = players[counter]['name']
plot_kdetouches(ax, fig, playerId, countryId, playerName)
counter += 1
axs['A'].annotate(
xy=(93, 5),
text='Attacking direction',
rotation=90,
size=7
)
axs['A'].annotate(
xy=(85,2),
xytext=(85,45),
text='',
arrowprops=dict(arrowstyle='<-',linewidth=0.55)
)
fig_text(
x = 0.13, y = .96,
s = "Touchmap for Brighton's Midfielders vs. Leicester",
va = "bottom", ha = "left",
fontsize = 14, color = "black", font = "DM Sans", weight = "bold"
)
fig_text(
x = 0.13, y = .94,
s = "Touches per player in the fixture against Leicester City. Viz by @sonofacorner.",
va = "bottom", ha = "left",
fontsize = 7, color = "#4E616C", font = "Karla"
)
plt.savefig(
"figures/09052022_brighton_touches.png",
dpi = 600,
facecolor = "#EFE9E6",
bbox_inches="tight",
edgecolor="none",
transparent = False
)
plt.savefig(
"figures/09052022_brighton_touches_tr.png",
dpi = 600,
facecolor = "none",
bbox_inches="tight",
edgecolor="none",
transparent = True
)
