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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 the players, the so called performance 🔜level, of both teams.
In the Bundesliga a typicꦇal 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 ♈Bundesliga have about the same convers♕ion of chances.
Home teams score more goals on average. Average 1,66 home and 1,20ܫ 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.
Typically 3 goals a𒆙re scored in a match. To be precise, the number of goals has decreased over time and now amounts to 2,8.
Rather not. 46 % of all wins are based upon a on𒅌e-goal-margin.
No. Only about 25% of matches result ins draw. By implication 75% of mꦗ🅺atches have a winner!
Yes, but since the ಞmiddle 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 about 20% more goals are scored than on average. So: Bet on higher results!
The goal differente of past matches is especially informative for the purpose of predictionsไ. 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 more informative for the sake of prognosis.ﷺ Goo💙d 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 performance. Rule of thumb: Doubling of the🥂 market value = 10 additional po🔯ints or a goal difference increased by 16 goals.
A season-sp💜ecific 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 se✨ason 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 performance level of offen𝐆se and defense are correlated.
Without effects of ♒coincꦆidence, the difference of goalscoring opportunities would perfectly predict the performance level.
The🔯 goal difference is dete🐬rmined by effects of coincidence with 86% (match day) or 29% (season) on average.
Fluctuations of performance levels from match day to match day are, therefore, n🌄ot statistically relevant. The changes of performances levels take place during the summer break and only rare
There are no po꧅sitive 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 it: “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 devi𒆙ations from the lower half of the table (goal difference: -13 +/- 8) are, thus, extremely rare. For that reason a „march through“ iℱs very special.
W𝓰ith the help of the market value and the effect🍌ive 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 ofꦅ the cases the best team wins and becomes German champion at the end of the season.
No. Statistically, there are no bogey team. The scientist’s search for bogey teams was negative. Looking at it statistically the ef🌳fect is under 10%.
Of course w꧒e know! But it is enough for today, we will let you kn🌳ow another rime.