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1. FC Magdeburg has the best difference on shots from regular play in 2. Bundesliga (Germany) (last 20 matches) (+5.15)

22/03 SC Preussen Munster - 1. FC Magdeburg

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In 5 out of 6 matches of Tottenham after the new coach appointment, total fouls was over 23.5 (25.5 on avg.)
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In 11 out of 15 last H2H matches, total throw-ins was under 35.5 (30.93 on avg.)
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Hotline

1. FC Magdeburg has the best difference on shots from regular play in 2. Bundesliga (Germany) (last 20 matches) (+5.15)

22/03 SC Preussen Munster - 1. FC Magdeburg

| Get full stats >>

Hotline

In 11 out of 15 last H2H matches, total throw-ins was under 35.5 (30.93 on avg.)
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In 5 out of 6 matches of Tottenham after the new coach appointment, total fouls was over 23.5 (25.5 on avg.)
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1. FC Magdeburg has the best difference on shots from regular play in 2. Bundesliga (Germany) (last 20 matches) (+5.15)

22/03 SC Preussen Munster - 1. FC Magdeburg

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Aberdeen didn't score a goal in the 1st half in 14 out of 14 last matches with similar opponents (0.00 on avg.)
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Fulham has the lowest opponent's total fouls in Premier League (England) (last 20 matches) (8.50)

21/03 Fulham - Burnley

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Elche has 2.22 times higher team Xg at home than at away this season in Primera Division (Spain)

21/03 Elche - Mallorca

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Fagiano Okayama has the best ratio of team possession to team corners in J1 League (Japan) (7.20% of possession for 1 corner)

21/03 Fagiano Okayama - V-Varen Nagasak

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Avg. total Xg of Man Utd decreased from 3.19 to 2.54 after the new coach appointment on 15/01/2026
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This constructor helps to prepare stats and similar matches after input two teams and odds 1x2 (self-counted or from bookmaker). After modify odds, some part of similar matches may be changes and it will be plus during studying match.

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In this article, the Corner-stats.com team explains the home-away filter, as well as a separate unique tool that allows you to ..

Date added: 13/01/2026

Referees statistics relations

04/12/2020

The Corner-stats.com team is introducing a new service feature - relations between referees statistics across football tournaments. As you know, the referee of a football match is one of the most important factors in the number of cards and fouls in a match, so the new function in the statistics relations tool will undoubtedly come in handy when predicting violations in football.

You can find the relations of the referees statistics on the Relations tab of the tournament page by selecting the Referee from the dropdown list. You have the ability to compare different combinations of cards and fouls, and, like for teams, you can choose statistics by halves.

 

We have identified the referee statistics relations that may be of most interest to you:

  •  fouls to cards (on average how many fouls the referee has on 1 card)
  •  yellow cards to red ones (on average, how many yellow cards the referee has for 1 red)
  •  cards of the 1st half to the cards of the 2nd half (this relation is very useful when analyzing the distribution of referee cards by half).

In addition, please note that you can also analyze the correlation of the referees statistics (the impact of one statistic on another). For example, usually, if there are many fouls in a match, then there will be many cards, but there are referees for whom this rule does not apply (correlation is about 0 or negative). Also, the correlation of cards by halves helps to find out whether the referee is inclined to show cards in one of the halves (the correlation is negative) or cards are distributed more or less evenly during a match (the correlation is positive).

We hope that the new functionality will be useful to you and will help you develop new strategies for more accurate forecasting of cards and fouls in upcoming football matches.