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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. T🍒he 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.
I🦋n 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 Bundesliga have about the same conversion of ch𝕴ances.
Home teams score more goals on average. Average 1,66 home and 1,20 away goals. There is an oveꦺrall 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 in a match. To be precise, the number of goals has decreased over time 𓃲and now amou🌳nts to 2,8.
Rather not. 46 % o💖f all wins are based upon a one-goal-margin.
No. Only about 25% of matches 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 during the 70s distinct꧃ively more than 20% of matches resulted ins away win, that figure already amounted to 33% in the season of🐲 2010/2011.
Extraor꧅dinary: On the last two match days about 20% more goals are scored than on averag🎀e. 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 th🥃e 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 performanc𒀰e. Rule of thumb: Doubling of 🍎the market value = 10 additional points or a goal difference increased by 16 goals.
A seas෴on-specific average Performance level of a team does exist. (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 a🌌lready🐻 progressed, the more reliable goals and opportunities display the performances of teams.
A football match is dominated by effects of coincidence. Addi💯tionally the performance level of offense and defense are cor��related.
Without effects of coincidence, the difference of goalscoring opportunities would perfectly pr꧅edict the performance lev𝕴el.
The 🎃goal difference is determined by effects of coincidence with 8ಌ6% (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 during the summer 🌟break and only rare
There are no positive series. The concept of a &𒐪ldquo;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 got꧑ shit on your foot!“
In the context of statistical preciseness, the conversion of effective goalscoring opportunities is identical for all teams. For that reasonꦏ 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 reason 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 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 search for bogey teams was negati🎃ve. Looking at it statistically the effect is under 10%.
Of cour𝔉se we know! But it is enough for today, w🐲e will let you know another rime.