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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 mad൲e 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 potential relegation team.
Stunning: All teams in🍬 the Bundesli꧒ga have about the same conversion of chances.
Home teams score more goals on average. Average 1,66 home and 1,20 a🅠way goals. There is an overall home advantage but no evidence that in addition to that teams perform especially well at home.𝓀 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 a🔯mounts ไto 2,8.
Rath💮er not. 46 % of all wins are based upon a oꦗne-goal-margin.
No. Only about 25% of matches result ins draw. By implication 75% o🐠f matches have a winner!
Yes, but since the middle of the 80s, the number of away wins is constantly getting bigger. While during t🉐he 70s distinctively more than 20%ꦫ of matches resulted ins away win, that figure already amounted to 33% in the season of 2010/2011.
Extr𒉰aordinary: On the last two match days about 20% more goals a♍re scored than on average. So: Bet on higher results!
The g🔴oal differente of past matches is especially informative for the purpose of pred𓄧ictions. 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 sh🔴ow 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 goജals.
A season-specific average Performance level of a team does exist. (Performance 🌠level = goal difference that a team scores against an average opponent)
The coincid💎ence 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. Additionally the performance level of offense and defense are correlate♔dꦑ.
Wit💫hout effects of coincidence, the difference of goalscoring opportunities would perfectly pr🤪edict the performance level.
The goal difference is determined 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, not statistically relevant. The changes of performances levels take place d🌱uring the sum🍰mer break and only rare
There are no positive series. Th🧔e concept of a “streak“ is, thus, void. Unfortunately thiꦯs 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 significaꦉnt for the prediction of goals.
The performance of promoted teams is astonishingly well predetermined. Significant deviations fro🍷m the lower half of the table (g🌺oal 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 goals♔coring 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 scientist’s searc🌱h for bogey teams was negative. Looking at it statistically the effect is under 10%.
Of course we know! But it is enough for today, we will let you kn𝔍ow another rime.