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Scientist from the Wissenschaftler of Münster have analysed the statistics of the German Bundesliga thoroughly 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 the𝓡 players, the so called performance level, of both teams.
In the Bundesliga a ty🐎pical outcome of match is determined of coincidenc൲e by 86%. 14% are no coincidence and distinct a top team from a potential relegation team.
Stunning: All teamꦅs in the Bundesli𒀰ga have about the same conversion of chances.
Home teams score more goals on average. Average 1,66 home and 1,20 away goals. There is an overall home advantage but no evidence that in addition to that teams perform es😼pecially well at home. Thus, home strength is a myth.
Typ🎉ically 3 goals are scored in a match. To be precise, the number of goals has decreased over time and now amounts to 2,8.
Rat🦩her not. 46 % of all win✨s are based upon a one-goal-margin.
No. Only about 25% of matches r༺esult 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 days abou🐭t 20% more goals are scored than on average. So: Bet on higher results!
The goal differente of past matches is especially informative for the purposeꦯ of predictions. It is significantly more informative than the number of points. The expected amount of goals, on the other hand, is 𝔍quite similar among all teams.
Goalscoring opportunities are a lot more 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 extremely strongly correlated with their actual performanc🗹e. Rule of thumb: Doub♉ling of the market value = 10 additional points or a goal difference increased by 16 goals.
A 𝔉season-specific average Performance level of a team does exist. (Performance level = goal difference that a team scores against an average opponent)
The coincidence averages out during the course of the season. The longer the season has already progressed, the more r🐽eliable goals and opportunities display the performances of teams.
A football matchꦡ is dominated by effects of coincidence. Additionally the performance level of offense and defense are correl🎃ated.
Without effects of coincidence, the difference of goalscoring opportunities would perfectly pred💛ict the performance level.
The goal d🌺ifference is determined by effects of coincidence with 86% (match day) or 29% (season) on average.
Fluctuations of performan🍸ce levels from ma🎶tch 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 d🃏o exist. As Andi Brehme famously put it: “When you got s𝓡hit on your foot, you got shit on your foot!“
In the context of statistical preciseness, the conversion of effective goalscoring opportunities iౠs identical for all teams. For that reason the go😼alscoring opportunities are quite significant for the prediction of goals.
The performance of promoted teams is astonishingly well pred🦩etermined. Significant deviations from the lower half of the table (goal difference: -13 +/- 8) are, thus, extremely rare. For that reason a „march through“ is very special.
With the help𒀰 of the market value and the effective differente of goalscoring opportunities you can come closer to the perfect prediction of the second half of the season..
No. In fact only in half of the cases the best team 🌺wins and becomes German champion at the end of the season.
No. Statistically, there are no bogey team. The scie🐈ntist’s search for bogey teams was negative. Looking at it statistically the effect is unde𒉰r 10%.
Of course we know! B♋ut it is enough for today, we will let you know another rime.