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Scientist from the Wi𝔍ssenschaftler of Münster have analysed the statistics of the German Bundesliga thoroughly and could characterise a footbal🔯l 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 pꦦotential relegation team.
Stunning: All teams in the Bundesliga have about th꧃e same co𝕴nversion of chances.
Home teams score more goals on average.𒐪 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.
Ty꧂pically 3 goals are 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 one-goal-mar♛gin.
No. Only abou🍷t 25% of mat🎀ches 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 duꦅring the 70s distinctively ꦦmore 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 match𒁃 days about 20% more goals are scor🐻ed than on average. So: Bet on higher results!
The goal differente of past matches is especi๊ally 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 🐼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 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 te𒆙am does exist. (Performance level = goal difference that a team scores against an average opponent)
The coincidence avera🧸ges 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 performance 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 effectꦿs of coincidence with 86% (match day) or 29% (season) on average.
Fluc𝓰tuations of performance levels from match day to match day are, therefore, not statistically relevant. The changes of performances levels take place d♑uring 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 nega🌼tive series - those do exist. As Andi Brehme famous♐ly 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 goals﷽coring opportunities 🔥are quite significant for the prediction of goals.
The performance of promoted teams is astonishingly well predetermined. Sign🔥ificant 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 value and the effective differente of goalscoring opportunities yo🐷u 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 w💦ins and becomes German champion at the end of the season.
No. Statistically, there are no bogey team. The scientist’s search for bogey teams wa𓂃s negative. Looking at it statistically thꦡe effect is under 10%.
Of course we know! But it🗹ඣ is enough for today, we will let you know another rime.