In [38]:

import pandas as pd
import matplotlib.pyplot as plt
from highlight_text import fig_text
import matplotlib as mpl
from mplsoccer.pitch import Pitch

In [39]:

#Set general use colors
text_color = 'w'

In [40]:

data = pd.read_csv('shotmaps.csv')

In [41]:

data

Out[41]:

	minute	second	team	x	y	outcome
0	21	42	Barcelona	50.88	85.20	Saved
1	29	33	Barcelona	34.96	91.68	Missed
2	35	3	Barcelona	44.40	101.64	Saved
3	41	3	Barcelona	27.92	96.36	Saved
4	42	9	Barcelona	50.40	104.88	Saved
5	42	13	Barcelona	21.60	108.00	Missed
6	45	32	Barcelona	47.84	107.64	Saved
7	46	51	Barcelona	47.04	89.76	Saved
8	57	31	Barcelona	48.64	107.04	Post
9	60	12	Barcelona	33.76	101.64	Missed
10	64	29	Barcelona	37.36	98.28	Saved
11	66	58	Barcelona	50.72	107.52	Missed
12	69	12	Barcelona	37.36	98.28	Missed
13	69	57	Barcelona	54.56	104.04	Saved
14	77	5	Barcelona	52.32	89.76	Saved
15	80	9	Barcelona	46.24	91.44	Missed
16	82	51	Barcelona	41.12	97.80	Saved
17	84	15	Barcelona	27.44	87.84	Missed
18	87	51	Barcelona	28.88	96.36	Missed
19	89	6	Barcelona	42.08	99.36	Saved

In [46]:

fig, ax = plt.subplots(figsize=(13,8.5))
fig.set_facecolor('#22312b')
ax.patch.set_facecolor('#22312b')

#The statsbomb pitch from mplsoccer
pitch = Pitch(pitch_type='statsbomb', orientation='vertical',
              pitch_color='#22312b', line_color='#c7d5cc', figsize=(13, 8),
              constrained_layout=False, tight_layout=True, view='half')

pitch.draw(ax=ax)

#I invert the axis to make it so I am viewing it how I want
plt.gca().invert_yaxis()

#plot the points, you can use a for loop to plot the different outcomes if you want
plt.scatter(data['x'],data['y'], s=100,c='#ea6969',alpha=.7)

s='Barcelona Shot Chart vs Juventus'
fig_text(s=s,
        x=.27,y=.9,
        fontfamily='Andale Mono',
        highlight_weights=['bold'],
        fontsize=24,
        color=text_color

)

total_shots = len(df)

fig_text(s=f'Total Shots: {total_shots}',
        x=.27, y =.67, fontsize=14,fontfamily='Andale Mono',color=text_color)
fig_text(s=f'xG: .85',
        x=.49, y =.67, fontsize=14,fontfamily='Andale Mono',color=text_color)
fig_text(s=f'Goals: 0',
        x=.68, y =.67, fontsize=14,fontfamily='Andale Mono',color=text_color)

fig.text(.22,.14,f'@mckayjohns / twitter',fontstyle='italic',fontsize=12,fontfamily='Andale Mono',color=text_color)

#plt.savefig('bcnjuveshots.png',dpi=300,bbox_inches = 'tight',facecolor='#22312b')

Out[46]:

Text(0.22, 0.14, '@mckayjohns / twitter')

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