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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 an🔴d 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 B💧undesliga a typical outcome of match is determined of coincidence bꦫy 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 conversi𝄹on 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 myth.
Typically 3 goals are scored in a match. To be precise, the number of♍ goals has decreased over time and now amount🦹s to 2,8.
Rather ♍not. 46 % of all wins 𓆉are based upon a one-goal-margin.
No. Only about ꦕ25% of matches result ins draw. By implication 75% of matches have a winner!
Y🌺es, 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 about 20% more goals are scored than on averꦆage🥂. So: Bet on higher results!
The goal differente of past matches i൲s especially informative for the purpose of predictions. It is significantly more informatꦅive 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. Good teams show a slightly better conversioಞn.
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: Doꦫubling 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 coincidence 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. A💧dditionally the performance level o❀f offense and defense are correlated.
Without effects of coincidence, the difference of goalscoring opportunities would perfect🌞ly predict the performance level.
The goal difference is determined by effects of coincidence with 86🐎% (match day) or 29% (season𝔍) on average.
Fluctuations of performance levels from match day to ma𝔉tch 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 “str😼eak“ 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 o♕n 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 prediction𝔍 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 the help of the market val🐼𒀰ue 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 ch💝ampion at the end of tꦗhe season.
No. Statistically, there are no bogey team. The scientist’s search for bogey teams was negative. Looking at it statistically the effect is unde𒐪r 10%.
Of course we know! But it is enough for today, we will le♛t you know another r💛ime.