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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 tha💜t made football results calculable. The crucial finding of the scientists is that goals in football are a prodඣuct 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 coi♋ncidence by 86%. 14% are no coincidence and distinct a top team from a potential relegation team.
S𒁃tunning: All teams in the Bundesliga have about the sam💝e conversion 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 i👍n 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 ba൲sed upon a one-goal-margin.
No. Only about 25% of matches result ins draw. By implication 75% of matches h🌠ave a winner!
Yes, but since the middle of thꦰe 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 the𓄧 season of 2010/2011.
Extra🐠ordinary: On the last two match days about 20% ♐more goals 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 informati🌳ve for the sake of prognosis. Good teams show a slightly better conversion.
The market value of a team as𒊎 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 team does exist. (Performance level = goal difference that a team scor𒊎es against♐ an average opponent)
The coincidence averages out during the course of the season. Theও longer the season has already progressed, the more reliable goals and opp🐭ortunities 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 goalscoringꦗ opportunities would perfectlꦿy predict the performance level.
The goal difference is determined by effects oꦐf 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 chanꦯges of performances 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. 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 ꦆthat 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. F🧸or that reason a „march through“ is very special.
With the help of the market value and the effect🌜ive 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 champion at the end of the season.
No. Statistically, there a🐻re 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! Bไut it is enough for today, we will let you k🧸now another rime.