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Myth or Maths

Football's favourite claims, tested against the data. Some survive.

Not supported

Are left-footed penalty takers worse?

Data
StatsBomb open data, men's and women's football
Sample
1,557 penalties, 376 left-footed and 1,181 right-footed
Method
Scoring rates by foot with a luck margin, in play and in shootouts, with and without Messi, and by where the kick went
Finding
No difference: 74.2% for each foot

Beginner

Not supported

Do teams struggle after an international break?

Data
Scottish Premiership, 2000/01 to 2025/26
Sample
82 international breaks, 485 first matches back
Method
Results after a break against all other matches, and against the bookmakers' odds, club by club
Finding
No difference beyond luck, league-wide, for the Old Firm or club by club

Beginner

Not supported

Does sacking the manager bring a bounce?

Data
Premiership results and every in-season managerial change, 2000/01 to 2025/26
Sample
80 changes with six league games either side
Method
Each change against sides with the same run and strength that kept their manager
Finding
Both bounce by 0.56 points a game; the change itself adds nothing

Intermediate

Supported

Bottom at Christmas, down in May?

Data
Scottish Premiership results, 2000/01 to 2025/26
Sample
26 seasons
Method
The table on Christmas Day against the final table
Finding
18 of 26 sides bottom at Christmas finished bottom; every one that escaped was within a point

Beginner

Not supported

Are derbies unpredictable?

Data
Premiership results, cards and Bet365 odds
Sample
297 derbies with odds
Method
Favourites' results against what the odds said, and cards per game
Finding
Favourites won about as often as the odds said; about three-quarters of a yellow card more a game

Beginner

Not supported

Is second-season syndrome real?

Data
Scottish Premiership results, 2000/01 to 2025/26
Sample
23 promoted sides that stayed up
Method
Points in the first season against the second
Finding
12 did better and 11 worse; over-performers fall back, promoted or not

Beginner

Not supported

Is midweek football different?

Data
Premiership and Championship, 2000/01 to 2025/26
Sample
10,471 matches
Method
Midweek against weekend results, upsets and goals
Finding
Same results, same upsets and, like for like, the same goals

Beginner

Not supported

Are 0–0s dying out?

Data
Premiership and Championship, 2000/01 to 2025/26
Sample
10,471 matches, 26 seasons
Method
The share of 0–0s, season by season
Finding
One match in 14 ends 0–0, and the share hasn't budged

Beginner

Mixed

Is the split unfair?

Data
Scottish Premiership results, 2000/01 to 2025/26
Sample
25 seasons with a split
Method
Home games and fixtures after the split
Finding
The home games even out; the side 7th takes 2.6 more points from the last five than the side 6th, on average

Beginner

Not supported

Does winning the corner count mean you're on top?

Data
Premiership corners and shots, 2000/01 to 2025/26
Sample
5,877 matches
Method
Results by who won the corner count, then corners and shots together
Finding
The side with more corners won only 44%; once you know the shots, corners add nothing

Beginner

Not supported

Does form matter more than underlying performance?

Data
Premiership results with shots, 2000/01 to 2025/26
Sample
1,546 six-game spells
Method
Recent points and shot difference against the next six games
Finding
Shot difference predicts better; an 8-point form gap shrinks to under one

Intermediate

Not supported

Is home advantage worth a goal?

Data
All four Scottish divisions, 2000/01 to 2025/26
Sample
Over 18,000 matches
Method
Home minus away goals a game, with a confidence interval
Finding
About a quarter of a goal, not one

Beginner

Mixed

Does the league table never lie?

Data
Scottish Premiership results, 2000/01 to 2025/26
Sample
312 team-seasons
Method
The spread luck alone would give, against the real spread
Finding
Luck moves a team's points by about eight either way: enough for mid-table, not for a title

Intermediate

Supported

Do more shots mean a better attack?

Data
Premiership shots and shots on target, 2000/01 to 2025/26
Sample
5,877 matches
Method
Results by who had more shots, and more on target
Finding
More shots won twice as often as they lost; more shots but fewer on target lost over half

Beginner

Not supported

Is 2–0 the most dangerous lead?

Data
Premiership and Championship half-time and full-time scores
Sample
10,471 matches
Method
How each half-time lead ended
Finding
2–0 leads were won 92% of the time and lost about one in forty

Beginner

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Something you've heard on the terraces, from a pundit or in the pub. If the data can answer it, it may become a Myth or Maths piece.

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