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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 re𝓰sults 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 ඣand distinct a top team from 🧜a potential relegation team.
Stunniꦡn🍰g: All teams in the Bundesliga have about 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 adv🌟antage but no evidence that in addition to that teams perform especially well at home. T𓃲hus, home strength is a myth.
Typically 3 goals are scored in a match. To be precise, the number of goals has d✅ecreased over time and now amounts to 2,8.
Ratherꦏ not. 46 % of all wins are bas💟ed upon a one-goal-margin.
No. On𓆉ly about 25% of matches result i𓆏ns 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 figure already amounted to 33% in the season of 2010/2011.
Extraordinary:💎 On the last two match days about 20% more goal🅘s are scored than on average. So: Bet on higher results!
The goal differente of past matches is especially 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 sꦺhow a slightly better conversion.
The market value of a t🃏eam 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 addition💃al 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 score🎀s 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 opportu🎃nit𓂃ies display the performances of teams.
A football match is dominated by effects of coincidence𓃲. Additionally the performance l🅰evel of offense and defense are correlated.
Without effects of coincidence, the difference of goal🍸scoring opportunities would perfectly predict the performance level.
The goal difference is determined by𝔍 effects of coincidence with 86% (match day) or 29% (season) on avera🌸ge.
Fluctuations of performance levels from match day to match day are, therefore, not statistically relevant. The changes of perf🔯ormances levels take place during 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 negative series - those do exist. A🦩s 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 performance๊ of promoted teams is astonishingly well predet💯ermined. 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 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 c♏ases the best team wins and becomes 🉐German champion at the end of the season.
No. Statistically, there are no b💮ogey team. The scientist’s search🍸 for bogey teams was negative. Looking at it statistically the effect is under 10%.
Of course we know! B𒊎ut it is enough for today, we will let yo𒐪u know another rime.