Oh, poor crazy Tottenham...

import pandas as pd
import numpy as np 
import matplotlib.pyplot as plt 
import sklearn
import scipy 
import seaborn as sns
plt.style.use('ggplot')
plt.rcParams['font.family'] = 'sans-serif' 
plt.rcParams['font.serif'] = 'Ubuntu' 
plt.rcParams['font.monospace'] = 'Ubuntu Mono' 
plt.rcParams['font.size'] = 14 
plt.rcParams['axes.labelsize'] = 12 
plt.rcParams['axes.labelweight'] = 'bold' 
plt.rcParams['axes.titlesize'] = 12 
plt.rcParams['xtick.labelsize'] = 12 
plt.rcParams['ytick.labelsize'] = 12 
plt.rcParams['legend.fontsize'] = 12 
plt.rcParams['figure.titlesize'] = 12 
plt.rcParams['image.cmap'] = 'jet' 
plt.rcParams['image.interpolation'] = 'none' 
plt.rcParams['figure.figsize'] = (10, 10
                                 ) 
plt.rcParams['axes.grid']=False
plt.rcParams['lines.linewidth'] = 2 
plt.rcParams['lines.markersize'] = 8
colors = ['xkcd:pale orange', 'xkcd:sea blue', 'xkcd:pale red', 'xkcd:sage green', 'xkcd:terra cotta', 'xkcd:dull purple', 'xkcd:teal', 'xkcd: goldenrod', 'xkcd:cadet blue',
'xkcd:scarlet']
bbox_props = dict(boxstyle="round,pad=0.3", fc=colors[0], alpha=.5)

stats = pd.read_csv('stats.csv')
res = pd.read_csv('results.csv')
totth_name = stats.team.drop_duplicates().tolist()[4]

res.head()

stats.head()