In my never-ending quest to
be like my idol Bill Barnwell as well as understand as much as possible about
the very opaque world of sports analysis, I’ve used Barnwell’s method for deriving NFL teams home field advantage for the English Premier League.
Managers and executives in
the honeymoon stage, newly in charge of a club in the Premier League, frequently
talk about making their home ground a “fortress.” Brendan Rodgers has mentioned numerous times since joining
Liverpool FC in 2012 that one of his goals is to return Liverpool FC and, by
extension, their home stadium of Anfield to the glory days of the 1970s and 80s. Those were days during which Anfield
was purportedly a bastion of invincibility where the Reds graced their
supporters with title win after title win. The goal of my analysis, much like Barnwell’s for the NFL,
is to understand what kind of home field advantage teams in the Premier League actually
enjoy and who reaps the most reward from it. For those who haven’t read Barnwell’s column, I’ll briefly
explain his methodology in deriving home field advantage.
Anfield: home of Liverpool FC (Liverpool, England) |
His method investigates the
point differential between how many points a team scores and allows at home,
versus how many they score and allow on the road. The point differential on the road is then subtracted from
the point differential at home, and that number is then divided by two. That final number represents home field
advantage, or HFA in the tables below.
In the context of the Premier League, I used goals scored versus goals
conceded at home, subtracted by goals scored versus goals conceded on the road,
divided by two. The goal
differential is divided by two in order to compare a team’s home form with how
they would be expected to perform on a neutral field. The final HFA number means to say that if a team has an HFA
of 100, they are expected to be 100 goals better over the course of the 14 year
sample at their home ground than they would be on a neutral field in that same
period of time.
There are a few challenges
in translating this methodology perfectly to the Premier League. As you may have been able to guess
yourself, there are many differences between the way the Premier League and the
NFL are run; the most obvious of which are the concepts of promotion and relegation. For those unfamiliar: each season, the
three teams that finish with the lowest points total are relegated into the
second division of English football, the Championship, and the top three sides
from the Championship are promoted to play with the big boys in the Premier
League. There are millions of
dollars in television rights, match day revenue, merchandising, and
immeasurable fan agony/ecstasy at stake each season for teams that flounder
towards the bottom of the table. The promotion/relegation concept is one of the
most endearing and exciting parts of following the Premier League year after
year. However, it makes consistent
analysis of home field advantage in the EPL difficult because the same teams
aren’t present year in and year out.
As a result, I’ll detail my findings for all teams that have been in the
Premier League, even if their stint was limited to one season, since 1999-2000.
I’ve included them as to further
illustrate the dangers of small sample size, as well as the incredible gap
between a handful of well-financed teams consistently at the top of the league
compared to everyone else.
One of the nice things about
the Premier League that actually makes this home field analysis study a little cleaner
than its counterpart in the NFL is that the EPL plays a round robin schedule
every year. Each team plays every
other team in the league twice; once home, once away. This makes for an even split in terms of competition faced
and location, and eliminates any need to consider strength of schedule. No need to carry on that Manchester
United got to feed off of a bad Blackburn Rovers team and pad their stats by
destroying them 7-1 in 2011; every team in the Premier League was afforded the
same luxury that season.
One of my hypotheses prior
to taking a look at the data was that the teams that would most likely benefit
from a home field advantage (as we’ve defined it here) were ones that have
largely remained in the Premier League for the past 14 years, but have not been
among the most successful.
Perennial mid-table sides, like Tottenham Hotspur and Newcastle United,
are two that most obviously leap to mind when thinking about this concept
anecdotally. They’ve spent a
combined 27 of a possible 28 years in the top division of English football,
with only Newcastle being relegated for the 2009-10 campaign. However, they both frequently finish in
the middle/middle of the top of the table, with neither team enjoying a final
league position higher than 3rd over the course of the sample. Their combined average league finish was
8.96 for that same period. It
makes some rational sense that squads enjoying enough success to stay in the
top division but not enough to be consistently elite and competing for the
title would see the biggest discrepancy between home and away form.
Another one of my hypotheses
prior to seeing the numbers was that teams such as Manchester United,
Liverpool, Chelsea, and Arsenal that frequently finished near or at the top of
the table would not see a significant home field advantage because of their
consistent quality. These four
teams, historically referred to as “the big 4” are frequently very good (and
very rich) and thus seem likely to both score many and concede few goals
regardless of where they play.
Anfield’s home field credentials were mentioned earlier in the context
of decades gone by, but the title of “stadium where you can expect to earn no
points as a visitor” has been, like the Premier League title itself, handed
over to Manchester United and their home ground Old Trafford in the last two
decades. I did not expect to see a
significant difference between home and away form for Manchester United in particular,
but equally by extension for Liverpool, Chelsea, and Arsenal.
The statistics used to
calculate the HFA data below were pulled from the excellent soccer data website
whoscored.com, and their stats unfortunately only goes back as far as the
1999-2000 season. The analysis
also does not include the 2013-14 season, which is currently underway.
Team
|
HFA
Total
|
PL
Seasons
|
HFA/Season
|
|
1
|
Tottenham
|
137.5
|
14
|
9.8
|
2
|
Newcastle
United
|
125.0
|
13
|
9.6
|
3
|
Manchester
United
|
124.5
|
14
|
8.9
|
4
|
Everton
|
113.5
|
14
|
8.1
|
5
|
Liverpool
|
111.0
|
14
|
7.9
|
6
|
Chelsea
|
110.5
|
14
|
7.9
|
7
|
Arsenal
|
107.5
|
14
|
7.7
|
8
|
Fulham
|
105.0
|
12
|
8.8
|
9
|
West
Ham
|
100.0
|
11
|
9.1
|
10
|
Manchester
City
|
95.5
|
12
|
8.0
|
11
|
Aston
Villa
|
90.0
|
14
|
6.4
|
12
|
Blackburn
|
87.0
|
11
|
7.9
|
13
|
Sunderland
|
84.5
|
11
|
7.7
|
14
|
Bolton
|
77.0
|
11
|
7.0
|
15
|
Portsmouth
|
69.0
|
7
|
9.9
|
16
|
Birmingham
|
65.5
|
7
|
9.4
|
17
|
Southampton
|
62.5
|
7
|
8.9
|
18
|
Stoke
|
57.5
|
5
|
11.5
|
19
|
Middlesbrough
|
56.5
|
10
|
5.7
|
20
|
West
Bromwich Albion
|
44.5
|
7
|
6.4
|
21
|
Charlton
|
43.5
|
7
|
6.2
|
22
|
Wigan
|
37.0
|
8
|
4.6
|
23
|
Norwich
|
33.0
|
3
|
11.0
|
24
|
Derby
|
26.0
|
4
|
6.5
|
25
|
Coventry
|
24.0
|
2
|
12.0
|
26
|
Bradford
|
23.0
|
2
|
11.5
|
27
|
Watford
|
23.0
|
2
|
11.5
|
28
|
Leeds
|
22.0
|
5
|
4.4
|
29
|
Reading
|
18.0
|
3
|
6.0
|
30
|
Wolverhampton
Wanderers
|
17.5
|
4
|
4.4
|
31
|
Swansea
|
16.5
|
2
|
8.3
|
32
|
Ipswich
|
16.0
|
2
|
8.0
|
33
|
Milton
Keynes Dons
|
16.0
|
1
|
16.0
|
34
|
Leicester
|
15.5
|
4
|
3.9
|
35
|
Burnley
|
15.0
|
1
|
15.0
|
36
|
Sheffield
United
|
14.5
|
1
|
14.5
|
37
|
Sheffield
Wednesday
|
14.0
|
1
|
14.0
|
38
|
Crystal
Palace
|
12.5
|
1
|
12.5
|
39
|
Queens
Park Rangers
|
10.5
|
2
|
5.3
|
40
|
Hull
|
8.0
|
2
|
4.0
|
41
|
Blackpool
|
4.5
|
1
|
4.5
|
You’ll notice that there are
41 teams listed here1.
As discussed earlier, one of the difficulties in looking at the Premier
League table statistics is that the teams in the top 20 of English football
differ from year to year. There
are a few teams listed where a home field advantage is hard to discern because
they only survived in the Premier League for a handful of seasons, or in the
case of poor Blackpool and their fantastically orange jerseys, a single year. The bottom half or so of the list all have less than 10
years of Premier League experience since 1999-00, and their HFA reflects both
the small sample size as well as their poor quality in the years in which they
delighted (or depressed, as the case may be) their fans with top division
football. To account for teams
that suffered this fate, I’ve also included in the table “PL Seasons,” a fairly
self explanatory title stating how many years that team spent in the Premier
League, to provide some context.
As you can see from the
table, I was somehow (shockingly) correct with one of my hypotheses. Tottenham and Newcastle, two clubs that
leap to mind when thinking about middling sides that hang around the top half
of the table but never spend much time outside of that area, are 1st
and 2nd respectively in total home field advantage. In similar
fashion, Everton should be no surprise at 4th on the list either;
they share a similar pedigree since 1999-2000. Again, the HFA number represents how many goals a team was
better at home versus on a neutral field in the past 14 seasons of Premier
League football. This means that
Tottenham have enjoyed 137.5 goals worth of home field advantage just from
playing at White Hart Lane as opposed to a neutral site since 1999-2000,
roughly 9.8 goals per season. Where
I was dreadfully wrong, however, was my prediction regarding “the big 4” as
they were traditionally known; Manchester United, Liverpool, Chelsea, and
Arsenal enjoy 3rd, 5th, 6th, and 7th
ranked home field advantages respectively. Despite being prolific goal scorers and stingy defenders
outside of their home grounds, they still experience a noticeable bump in
performance in front of stands filled with their own supporters.
White Hart Lane: home of Tottenham FC (London, England) |
In addition to analyzing how
home field advantage stacked up in terms of goal differential, I wanted to
briefly explore a more utilitarian view of a squad’s form: results. I took a look at the same sample of
teams and seasons of the Premier League and added up how many points2
they earned at home over the course of the past 14 campaigns. To view this as equitably as possible,
I took the number of points each team earned at home and divided it by the
number of years they appeared in the EPL.
That final number, “Pts/G/Season” represents how many points a given
team earned per game per Premier League campaign.
Team
|
Pts/G Home
|
PL Seasons
|
Pts/G/Season
|
|
1
|
Manchester
United
|
34.47
|
14
|
2.46
|
2
|
Arsenal
|
31.95
|
14
|
2.28
|
3
|
Chelsea
|
31.84
|
14
|
2.27
|
4
|
Liverpool
|
29.00
|
14
|
2.07
|
5
|
Tottenham
|
26.53
|
14
|
1.89
|
6
|
Everton
|
24.68
|
14
|
1.76
|
7
|
Newcastle
United
|
22.63
|
13
|
1.74
|
8
|
Aston
Villa
|
21.63
|
14
|
1.55
|
9
|
Manchester
City
|
21.42
|
12
|
1.79
|
10
|
Fulham
|
19.68
|
12
|
1.64
|
11
|
Blackburn
|
16.68
|
11
|
1.52
|
12
|
West
Ham
|
16.63
|
11
|
1.51
|
13
|
Bolton
|
16.11
|
11
|
1.46
|
14
|
Middlesbrough
|
14.79
|
10
|
1.48
|
15
|
Sunderland
|
14.63
|
11
|
1.33
|
16
|
Southampton
|
10.68
|
7
|
1.53
|
17
|
Birmingham
|
10.32
|
7
|
1.47
|
18
|
Portsmouth
|
10.32
|
7
|
1.47
|
19
|
Charlton
|
10.26
|
7
|
1.47
|
20
|
Wigan
|
9.95
|
8
|
1.24
|
21
|
West
Bromwich Albion
|
8.58
|
7
|
1.23
|
22
|
Leeds
|
8.05
|
5
|
1.61
|
23
|
Stoke
|
8.05
|
5
|
1.61
|
24
|
Leicester
|
5.37
|
4
|
1.34
|
25
|
Wolverhampton
Wanderers
|
4.58
|
4
|
1.14
|
26
|
Norwich
|
4.42
|
3
|
1.47
|
27
|
Reading
|
4.26
|
3
|
1.42
|
28
|
Derby
|
4.16
|
4
|
1.04
|
29
|
Ipswich
|
3.16
|
2
|
1.58
|
30
|
Swansea
|
3.00
|
2
|
1.50
|
31
|
Coventry
|
2.95
|
2
|
1.47
|
32
|
Bradford
|
2.37
|
2
|
1.18
|
33
|
Queens
Park Rangers
|
2.11
|
2
|
1.05
|
34
|
Hull
|
2.00
|
2
|
1.00
|
35
|
Watford
|
1.95
|
2
|
0.97
|
36
|
Sheffield
United
|
1.42
|
1
|
1.42
|
37
|
Burnley
|
1.37
|
1
|
1.37
|
38
|
Milton
Keynes Dons
|
1.32
|
1
|
1.32
|
39
|
Crystal
Palace
|
1.21
|
1
|
1.21
|
40
|
Sheffield
Wednesday
|
1.11
|
1
|
1.11
|
41
|
Blackpool
|
1.05
|
1
|
1.05
|
Unsurprisingly Manchester
United tops the list, coming the closest to earning the 3 possible points per
game at home of any team in the league for the last decade and change. This result is obviously expected: of
the last 14 Premier League titles, Manchester United have taken home a stunning
8 of them. Eight! What this means to say is, Manchester
United is pretty good at earning points no matter where they go, but
particularly at home, at a rate that nobody has been able to match since the
turn of the century3. Arsenal,
Chelsea, and Liverpool round out the top 4, and our favorite mid-table/sometimes-slightly-better
sides Tottenham, Everton, and Newcastle make up 5th, 6th,
and 7th places.
A common refrain when
discussing home field advantage is the idea of “home-cooking,” in general
referring to teams performing better at home due to a cocktail of: the home
crowd, lack of travel, familiarity with local weather conditions, and most
importantly, biased officiating. Any
number and combination of those factors can explain much of what I broke down
above, but it’s challenging in football to pull officiating decisions out of
the context of the game. You could
theoretically take a look at the differential between yellow/red cards awarded
to the home team as opposed to the road team, but that still doesn’t account
for all of the offside decisions, free kicks awarded, throw-ins given, goal
kicks as opposed to corner kicks awarded, non-calls, etc. This is a very long winded way of
saying that home field advantage is likely influenced by biased officiating,
but its equally unlikely that referees are the only factor that tangibly impact the game. Thus, it becomes very difficult to take
apart the individual events that make up a 90-minute contest and say with
certainty that the referees’ presence affected them in a given way, especially
one that positively affected a team in their home ground over the course of a
relatively large sample.
Though these results are
basically expected given what we’ve derived from the goal differential and HFA
above, what’s interesting to note is what these points represent. Teams (such as Liverpool and Tottenham)
that were close to 2.0 points per home game largely either drew or won their
home games over the last 14 seasons, earning a pretty decent split between 1
point and 3 points for each match in front of their supporters. While there were assuredly losses
sprinkled throughout, they benefitted from a near guarantee that they would
gain something from each outing at
their home ground. This is undoubtedly useful in ensuring a long and reasonably
successful tenure in the Premiere League and helps explain certain teams’
longevity in the top flight of English football.
Footnotes
Footnotes
1: One of my favorite parts of doing this analysis was
being confronted with how many absolutely absurd names there are for teams in
English football. The red squiggly
line claiming you spelled something wrong in Microsoft Word came up 9
times! Isn’t it incredibly bizarre
that there is a team called Sheffield Wednesday? That would be like a team on this side of the pond called
Boston Friday.
2: Points are determined in the Premier League as
such: 3 points for a win, 1 point for a draw, and 0 points for a loss. Teams that are level on points go to a
tiebreaker to determine their final league position, determined by goal
differential (goals scored – goals allowed).
3: If I had included statistics from this season
(2013-14) either pro-rated for a full season or not, Manchester United’s home
record would surely have taken a noticeable hit. In 13 matches at Old Trafford under new manager David Moyes,
United have only taken 21 points of a possible 39, to the tune of 6 wins, 4
losses, and 3 draws. That’s only
1.61 points per game, almost a full point below their average over the last 14
years. Though the season is far from over, they’re the only member of the “big
four (Arsenal, Chelsea, Liverpool, Manchester United) that has taken a
noticeable dive in home form. This
is where you can feel free to throw that whole “SMALL SAMPLE SIZE!!!1” thing I
keep obnoxiously saying in my face, because, well, it is.
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