The two tools look similar but answer different questions, and swapping one for the other is a common mistake.
Comparing teams
The comparison section places two sides next to each other on identical metrics: goals scored and conceded, shots, corners, fouls, cards, split by home and away. This answers “what are these teams like at all”, regardless of whether they have ever met.
The most useful part is the home/away split. For some teams the difference between home and away figures reaches a factor of one and a half, and an averaged number hides exactly what matters.
Head-to-head
H2H shows the history of a specific pairing. The temptation is strong: “they haven’t beaten them in five years.” But that argument has a shelf life.
- Squads. Over three years a team changes almost completely. A 2021 match was played by different people under a different manager.
- Sample. Two or three meetings are not a sample. Across four matches, “3 out of 4” happens by chance very often.
- Different competitions. A cup tie and a league fixture between the same pair may be played with fundamentally different line-ups.
H2H works for something else: not “who beats whom” but how this pairing plays. If the two consistently produce low-scoring games with few corners, that is about style, and style is more stable than results.
About home advantage
Home advantage is real, but noticeably smaller than commonly assumed and very uneven across leagues. We worked through it on live numbers in a separate article — which also shows the leagues where playing at home barely helps at all.
Next
AI predictions — what the model computes, what it cannot know, and how to check it against the odds.
Comparison answers “what are these two like”, head-to-head answers “how does this pairing play”. Meetings older than two years are usually about different people.