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Scientist from the Wissenschaftler of Münster havꦆe 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 foo🎃tball 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 relegat༺ion team.
Stunning: All teams in the Bundesliga have abou🌼t 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 especially well at home. Thus, home strength is a m🃏yth.
Typically 3 goals are scored in a match. To be precise, the number of goals has dec💟reased over time 🤪and now amounts to 2,8.
Rather not. 46 % of all wins are based upon a 🔥🐽one-goal-margin.
N♎o. Only about 25% o𓆏f 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 figureꦇ already amounted to 33% in the season of 2010/2011.
Extraorꦦdinary: On the last two match days about 20% more goals are scor🐓ed than on average. So: Bet on higher results!
The goal difℱferente of past matches is especially informative for the purpose of pre🧜dictions. 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.
Goalscoring꧒ opportunities are a lot more informative for the sake of prognosis. Good teams show a slig﷽htly better conversion.
The market value of a team as determined before the start of the se🐟ason is extremely 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 Performa💞nce level of a team does exist. (Performance level = goal difference that a team scores against an average opponent)
The coincidence ave♏rages out during the course of the season. The longer the season has already progressed, the more reliable goals and opp🐟ortunities display the performances of teams.
A football match is dominated by effect🌸s of coincidence. Additionally the performance level ꩲof offense and defense are correlated.
Without effects of coincideဣnce, the difference of goalscoring opportunities would perfectly predict the performance leve🌜l.
The goal difference is determined by effects of coincidence with 86% (match day) or 2𝓰9% (season) on average.
Fluctuations of performance levels from match day to match day are, therefore, not statistically relevant. The changes of performances levels take place during t👍he 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 Andi Brehme🎃 famously put 𝔉it: “When you got shit on your foot, you got shit on your foot!“
In the 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 very special.
With t🥀he help of the market value and the effective differente of goalscoring opportunities you can come closer to the perfect prediction of the second half of th෴e season..
No. In fact only in half of the cases the best tea✃m wins and becomes German champion at ๊the end of the season.
No. Statistically, there are no bogey team. The scientist’s search for b♉ogey teams was negative. Looking at it statistically the effect is under 10%.
Of course we know! But i🀅t is enough for today, we will let you know another rime.