Scientist from the Wissenschaftler of Münster have analysed the statistics of the G🌞erman 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 determined of coincidence by 86%. 14% are no coincidence and distinct a top team from a potential relegation t꧃eam.
Stunning: All teams in the Bund♛esliga have about the same conversion of chances.
Home teams score more goals on average. Average 1,66 home and 1,20 away g🐟oals. There is an overall home advantage but no eviden🍬ce 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, theඣ number of goals has decreased over time and now amounts to 2,8.
Rather not. 46 % ⛎of all wins are based upon a one-goal-margin.
No. Only about 25% of matches res🌟ult ins draw. By implication 75% of matches have a winner!
Yes, but๊ since the middle of the 80s, the number of away wins is constantly getting bigger. While during the 70s distinctively more tha🅺n 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 2🥀0% 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 predi🐼ctions. 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 sli♋ghtly 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 additional൩ points or a goal difference increaseꦐd by 16 goals.
A season-specific average Performance level of a team does exist. (Performa🌄nce level = goal difference that a team scores 🔴against an average opponent)
The coincidence averages out duri🍨ng the course of the season. The longer the season has already progres♔sed, the more reliable goals and opportunities display the performances of teams.
A football match is dominated by effects of coincideꦺnce. Additionally the performance level of offense and defense are correlated.
Without effects of coincidence, the difference of goalscoring opportunities would perfectly pr༺edict the performance level.
The go♕al 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 during the summer b🐎༺reak and only rare
There are noꦫ positive series. The concept of a “streak“ is, thus, void. Unfortunately this does not apply for negative s🦩eries - those do exist. As Andi Brehme famously put it: “When you got shit on your foot, you got shit on your foot!“
In the contextꦗ 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 perfor𝓰mance 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 half𒐪 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 bogey team. The scientist’s search for bogey teams w𒆙as nega♓tive. Looking at it statistically the effect is under 10%.
Of course we know!꧙ But it is ♍enough for today, we will let you know another rime.