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Scientist from the Wissenschaftler of Münster have analysed the statistics of the German Bundesliga t♑horoughly and could characterise a football match as a Poisson-Process and like that made football results calculable. The crucial finding of the scientists is that goals in football are a product of coincidence. Goals, however, aren’t a sole game of dice but are influenced by the technical abilities of the players, the so called performance level, of both teams.
In the Bundesliga a typical outcome of match is determined of coincidence by 86%. 14% are no coincidence and distinct ✃a top team from a potential relegation team.
Stunning: All teams in the Bu🐼ndesliga have about the same conversion of chances.
Home teams score more goals on average. Average 1,6✨6 home and 1,20 away goals. There is an overall home advantage but no evidence that in addition to that teams perform especially well at home. Thus, home strength is a myth.
ဣTypically 3 goals are scored in a match. To be precise, the number of goals has decreased over time andܫ now amounts to 2,8.
Rather not. 46 % of a💛ll wins are based upon a one🃏-goal-margin.
No. Only about 25%꧟ of matches result ins draw. By implication 75% of matches 🌠have a winner!
Yes🦄, but since the middle of the 80s, the number of away wins is constantly getting bigger. While during the 70s distinctively more ♋than 20% of matches resulted ins away win, that figure already amounted to 33% in the season of 2010/2011.
Extraordinary: On the last two match dayཧs abo🤪ut 20% more goals are scored than on average. So: Bet on higher results!
The goal dif💛ferente of past matches is especia🃏lly informative for the purpose of predictions. It is significantly more informative than the number of points. The expected amount of goals, on the other hand, is quite similar among all teams.
Goalscoring opportunities are a lot m🅰ore informative for the sake of prognosis. 🌳Good teams show a slightly better conversion.
The market value of a team as determined before the start of the season is ex🦋tremely strongly correlated with their actual performance. Rule of thumb: Doubling of the market value = 10 additional points or a goal difference increased by 16 goals.
A season-specific average Performance level of a team does exist. (Performance level = goal difference that a team scores against an average🦩 opponent)
The coincid꧟ence averages out during the course of the season. The longer the season has already progressed, the more reliable goals and opportunities display the performances of teams.
A football match is dominated by effects of coincidence. Additionally the performan🌄ce level of offense and defense are correlated.
Without 🐟effects of coincidence, the difference of goalscoring opportunities would perfectly predict the performance level.
The goal difference is determined by effects of💧 coincidence with 86% (match day) or 29% (season) on average.
Fluctuations of performance levels from matchꦉ day to match day are, therefore, not statistically relevant. The changes of performances levels take place during the summer break and only rare
There are no positive series. The concept of a “streak“ is, thus, void. Unfortunately this does not apply for negative series - those do exist. As Aꦛndi Brehme famously put it: “W♏hen you got shit on your foot, you got shit on your foot!“
In th🤪e context of statistical preciseness, the conversion of effective goalscoring opportunities is identical for all teams. For that reason the goalscoring opportunities are quite significant for the prediction of goals.
The performance of promoted teams is astonishingly well predetermined. Significant deviations from the lower half of the table (goal difference: -13 +/- 8) are, thus, extremely rare. For that reason a „march through“ is ver😼y special.
With the help of the market value and the effective differente of goalscoring opportunities you can🧸 come closer to the perfect prediction of the second half ꦡof the season..
No. In fact only i🦄n half of the cases the best team wins and becomes German champion at the end o💃f the season.
No. Statistically, there are no boge𝕴y team.𝔉 The scientist’s search for bogey teams was negative. Looking at it statistically the effect is under 10%.
Of course we know! But it is enough for today, we will let you know ano⛎ther rime.