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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 typical outcome of match is d✨etermined of coincidence by 86%. 14% are no coincidence and distinct a top team from a potential relegation team.
Stunning: Al🎉l teams in the Bundesliga h🍬ave 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 ho🌄me 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. Tꦿo be precise, the number of goals🍰 has decreased over time and now amounts to 2,8.
Rather not.ꦬ 46 % of all wins are based uponꦇ a one-goal-margin.
No. Only about 25% of matches result🐻 ins draw. By implication 75% of matc♛hes 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 amou💯nted 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 🍌differꦍente 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 show a slightly better conv🐎e🌳rsion.
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 ൩goals.
A season-specific average Performance level of a team does e🌌xist. (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,𝓡 the more reliable goals and opportunities displa🎶y the performances of teams.
A football match is do⛄minated 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 performa🦩nce level.
The goal diff꧑erence 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. Th♔e changes of perfor🦂mances levels take place during the summer break and only rare
🍌There are no positive series. The concept of a &ldquo𒈔;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 stꦇatistical 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 deviations from the lower half of the table (goal difference: -13 +/- 8) are, thus, extremely rare. For that r♏eason🔯 a „march through“ is very special.
With the help of the market value and the effective differente of goalscoring opportunities you can come closer to the perf𒐪ect prediction of the second half of the season..
No. In fa♋ct only in half o⛦f 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 effect is under 10%.
Of course we know! But it is enoꦏugh for today, we will let you 🍎know another rime.