Massey Ratings

[1]:

import sys

sys.path.append("../")
import penaltyblog as pb

[2]:

fbd = pb.scrapers.FootballData("ENG Premier League", "2020-2021")
df = fbd.get_fixtures()

df.head()

[2]:
div team_home team_away fthg ftag ftr hthg htag htr referee ... ah_ch b365_cahh b365_caha pcahh pcaha max_cahh max_caha avg_cahh avg_caha datetime
competition season id
ENG Premier League 2020-2021 1599868800---crystal_palace---southampton E0 Crystal Palace Southampton 1 0 H 1 0 H J Moss ... 0.25 1.78 2.13 1.79 2.17 1.85 2.18 1.79 2.12 2020-09-12 15:00:00
1599868800---fulham---arsenal E0 Fulham Arsenal 0 3 A 0 1 A C Kavanagh ... 0.75 2.01 1.89 2.02 1.91 2.13 1.92 2.02 1.87 2020-09-12 12:30:00
1599868800---liverpool---leeds_united E0 Liverpool Leeds United 4 3 H 3 2 H M Oliver ... -1.50 1.85 2.05 1.85 2.08 1.90 2.16 1.84 2.04 2020-09-12 17:30:00
1599868800---west_ham---newcastle_united E0 West Ham Newcastle United 0 2 A 0 0 D S Attwell ... -0.50 2.03 1.87 2.04 1.88 2.09 1.91 2.02 1.86 2020-09-12 20:00:00
1599955200---tottenham_hotspur---everton E0 Tottenham Hotspur Everton 0 1 A 0 0 D M Atkinson ... -0.50 2.09 1.81 2.09 1.85 2.16 1.86 2.08 1.81 2020-09-13 16:30:00

5 rows × 105 columns

[3]:

massey = pb.ratings.Massey(df["fthg"], df["ftag"], df["team_home"], df["team_away"])
massey.get_ratings()

[3]:
team rating offence defence
0 Manchester City 1.275 1.486184 -0.211184
1 Manchester United 0.725 1.238962 -0.513962
2 Liverpool 0.65 1.10424 -0.45424
3 Tottenham Hotspur 0.575 1.108406 -0.533406
4 Chelsea 0.55 0.832018 -0.282018
5 Leicester City 0.45 1.115351 -0.665351
6 Arsenal 0.4 0.757018 -0.357018
7 West Ham 0.375 0.952851 -0.577851
8 Aston Villa 0.225 0.76674 -0.54174
9 Leeds United 0.2 0.962573 -0.762573
10 Everton -0.025 0.558406 -0.583406
11 Brighton & Hove Albion -0.15 0.370906 -0.520906
12 Newcastle United -0.4 0.551462 -0.951462
13 Wolverhampton Wanderers -0.4 0.273684 -0.673684
14 Southampton -0.525 0.586184 -1.111184
15 Burnley -0.55 0.198684 -0.748684
16 Crystal Palace -0.625 0.425073 -1.050073
17 Fulham -0.65 0.037573 -0.687573
18 West Brom -1.025 0.280629 -1.305629
19 Sheffield United -1.075 -0.13326 -0.94174 
[4]:

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns

%config InlineBackend.figure_format='retina'
plt.rcParams["figure.figsize"] = [10, 7]
sns.set_style("whitegrid")

ratings = pb.massey.ratings(df["fthg"], df["ftag"], df["team_home"], df["team_away"])
ratings["colours"] = np.where(ratings["rating"] > 0, "#33b864", "#a03623")
fig, ax = plt.subplots()
y_pos = np.arange(len(ratings))
performance = ratings["rating"]
ax.barh(y_pos, performance, align="center", color=ratings["colours"])
ax.set_yticks(y_pos)
ax.set_yticklabels(ratings["team"], fontweight="bold")
ax.invert_yaxis()
ax.set_xlabel("Massey Rating")
ax.set_title("Massey Ratings - EPL", fontweight="bold")

rects = ax.patches
for rect in rects:
    x_value = rect.get_width()
    y_value = rect.get_y() + rect.get_height() / 2
    space = 2
    ha = "left"

    if x_value < 0:
        space *= -1
        ha = "right"

    label = "{:.2f}".format(x_value)

    # Create annotation
    plt.annotate(
        label,
        (x_value, y_value),
        xytext=(space, 0),
        textcoords="offset points",
        va="center",
        ha=ha,
        fontsize=8,
        fontweight="bold",
    )
../_images/ratings_massey_ratings_4_0.png 
[5]:

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns

%config InlineBackend.figure_format='retina'
plt.rcParams["figure.figsize"] = [10, 7]
sns.set_style("whitegrid")

ratings = pb.massey.ratings(df["fthg"], df["ftag"], df["team_home"], df["team_away"])
ratings["colours"] = np.where(ratings["offence"] > 0, "#33b864", "#a03623")
ratings = ratings.sort_values("offence", ascending=False)
fig, ax = plt.subplots()
y_pos = np.arange(len(ratings))
performance = ratings["offence"]
ax.barh(y_pos, performance, align="center", color=ratings["colours"])
ax.set_yticks(y_pos)
ax.set_yticklabels(ratings["team"], fontweight="bold")
ax.invert_yaxis()
ax.set_xlabel("Massey Rating")
ax.set_title("Massey Offence Ratings - EPL", fontweight="bold")

rects = ax.patches

for rect in rects:
    x_value = rect.get_width()
    y_value = rect.get_y() + rect.get_height() / 2
    space = 2
    ha = "left"

    if x_value < 0:
        space *= -1
        ha = "right"

    label = "{:.2f}".format(x_value)

    # Create annotation
    plt.annotate(
        label,
        (x_value, y_value),
        xytext=(space, 0),
        textcoords="offset points",
        va="center",
        ha=ha,
        fontsize=8,
        fontweight="bold",
    )
../_images/ratings_massey_ratings_5_0.png 
[6]:

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns

%config InlineBackend.figure_format='retina'
plt.rcParams["figure.figsize"] = [10, 7]
sns.set_style("whitegrid")

ratings = pb.massey.ratings(df["fthg"], df["ftag"], df["team_home"], df["team_away"])
ratings["colours"] = np.where(ratings["defence"] > 0, "#33b864", "#a03623")
ratings = ratings.sort_values("defence", ascending=False)
fig, ax = plt.subplots()
y_pos = np.arange(len(ratings))
performance = ratings["defence"]
ax.barh(y_pos, performance, align="center", color=ratings["colours"])
ax.set_yticks(y_pos)
ax.set_yticklabels(ratings["team"], fontweight="bold")
ax.invert_yaxis()
ax.set_xlabel("Massey Rating")
ax.set_title("Massey Defence Ratings - EPL", fontweight="bold")

rects = ax.patches

for rect in rects:
    x_value = rect.get_width()
    y_value = rect.get_y() + rect.get_height() / 2
    space = 2
    ha = "left"

    if x_value < 0:
        space *= -1
        ha = "right"

    label = "{:.2f}".format(x_value)

    plt.annotate(
        label,
        (x_value, y_value),
        xytext=(space, 0),
        textcoords="offset points",
        va="center",
        ha=ha,
        fontsize=8,
        fontweight="bold",
    )
../_images/ratings_massey_ratings_6_0.png