In [2]:

import pandas as pd
import matplotlib.pyplot as plt
from mplsoccer.pitch import Pitch
import seaborn as sns

In [3]:

#Read in the data
df = pd.read_csv('messibetis.csv')

In [4]:

#convert the data to match the mplsoccer statsbomb pitch
#to see how to create the pitch, watch the video here: https://www.youtube.com/watch?v=55k1mCRyd2k
df['x'] = df['x']*1.2
df['y'] = df['y']*.8
df['endX'] = df['endX']*1.2
df['endY'] = df['endY']*.8

In [5]:

df

Out[5]:

	player	minute	second	x	y	type	outcome	endX	endY
0	messi	45	0	60.0	40.0	Pass	Successful	48.0	34.4
1	messi	45	25	75.6	38.4	Pass	Successful	90.0	66.4
2	messi	46	4	88.8	46.4	Pass	Successful	85.2	52.0
3	messi	46	7	91.2	54.4	Pass	Successful	114.0	62.4
4	messi	46	55	120.0	0.8	Pass	Unsuccessful	115.2	30.4
5	messi	47	42	87.6	20.0	Pass	Successful	84.0	43.2
6	messi	49	47	90.0	34.4	Pass	Unsuccessful	98.4	30.4
7	messi	50	10	94.8	24.8	Pass	Successful	104.4	19.2
8	messi	50	17	98.4	41.6	Pass	Successful	111.6	54.4
9	messi	50	24	117.6	49.6	Pass	Unsuccessful	117.6	48.8
10	messi	55	22	36.0	9.6	Pass	Successful	26.4	19.2
11	messi	56	24	45.6	33.6	Pass	Successful	44.4	40.8
12	messi	56	36	63.6	35.2	Pass	Successful	51.6	49.6
13	messi	56	43	73.2	50.4	Pass	Successful	76.8	50.4
14	messi	57	2	115.2	26.4	Pass	Successful	109.2	27.2
15	messi	62	25	55.2	36.0	Pass	Successful	45.6	34.4
16	messi	62	31	58.8	53.6	Pass	Successful	73.2	76.8
17	messi	63	36	76.8	17.6	Pass	Successful	75.6	8.0
18	messi	63	40	88.8	5.6	Pass	Successful	79.2	7.2
19	messi	63	42	84.0	4.8	Pass	Successful	75.6	7.2
20	messi	63	43	80.4	3.2	Pass	Successful	74.4	7.2
21	messi	63	48	82.8	3.2	Pass	Successful	74.4	7.2
22	messi	66	27	78.0	28.8	Pass	Successful	85.2	40.8
23	messi	67	40	87.6	46.4	Pass	Unsuccessful	104.4	32.8
24	messi	68	19	79.2	53.6	Pass	Successful	72.0	55.2
25	messi	69	25	85.2	63.2	Pass	Successful	75.6	57.6
26	messi	71	29	76.8	24.0	Pass	Successful	82.8	48.0
27	messi	71	46	97.2	45.6	Pass	Successful	115.2	56.8
28	messi	73	44	60.0	40.0	Pass	Successful	56.4	41.6
29	messi	76	11	80.4	34.4	Pass	Successful	90.0	32.8
30	messi	76	25	92.4	32.8	Pass	Unsuccessful	100.8	29.6
31	messi	77	59	120.0	80.0	Pass	Successful	110.4	76.8
32	messi	78	3	105.6	76.8	Pass	Successful	82.8	65.6
33	messi	78	9	99.6	76.8	Pass	Successful	97.2	66.4
34	messi	78	58	76.8	40.8	Pass	Successful	82.8	66.4
35	messi	79	5	80.4	53.6	Pass	Successful	79.2	43.2
36	messi	79	19	84.0	44.8	Pass	Successful	102.0	69.6
37	messi	79	31	91.2	67.2	Pass	Successful	78.0	58.4
38	messi	80	26	120.0	0.8	Pass	Successful	110.4	4.0
39	messi	80	30	98.4	2.4	Pass	Successful	91.2	13.6
40	messi	81	14	70.8	3.2	Pass	Successful	82.8	3.2
41	messi	81	20	96.0	4.8	Pass	Successful	97.2	15.2
42	messi	83	14	85.2	32.0	Pass	Unsuccessful	105.6	44.0
43	messi	87	24	69.6	33.6	Pass	Successful	79.2	59.2
44	messi	88	22	120.0	0.8	Pass	Successful	87.6	20.8
45	messi	90	18	85.2	20.0	Pass	Unsuccessful	109.2	41.6
46	messi	91	18	79.2	24.8	Pass	Successful	91.2	16.0
47	messi	91	46	88.8	30.4	Pass	Unsuccessful	91.2	28.8
48	messi	94	7	68.4	29.6	Pass	Unsuccessful	108.0	43.2

In [37]:

fig ,ax = plt.subplots(figsize=(13.5,8))
fig.set_facecolor('#22312b')
ax.patch.set_facecolor('#22312b')

#this is how we create the pitch
pitch = Pitch(pitch_type='statsbomb', orientation='horizontal',
              pitch_color='#22312b', line_color='#c7d5cc', figsize=(13, 8),
              constrained_layout=False, tight_layout=True)

#Draw the pitch on the ax figure as well as invert the axis for this specific pitch
pitch.draw(ax=ax)
plt.gca().invert_yaxis()

#Create the heatmap
kde = sns.kdeplot(
        df['x'],
        df['y'],
        shade = True,
        shade_lowest=False,
        alpha=.5,
        n_levels=10,
        cmap = 'magma'
)


#use a for loop to plot each pass
for x in range(len(df['x'])):
    if df['outcome'][x] == 'Successful':
        plt.plot((df['x'][x],df['endX'][x]),(df['y'][x],df['endY'][x]),color='green')
        plt.scatter(df['x'][x],df['y'][x],color='green')
    if df['outcome'][x] == 'Unsuccessful':
        plt.plot((df['x'][x],df['endX'][x]),(df['y'][x],df['endY'][x]),color='red')
        plt.scatter(df['x'][x],df['y'][x],color='red')
        
plt.xlim(0,120)
plt.ylim(0,80)

plt.title('Messi Pass Map vs Real Betis',color='white',size=20)

Out[37]:

Text(0.5, 1.0, 'Messi Pass Map vs Real Betis')

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