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 ꦇcoincidence. Goals, however, aren’t a sole game of dice but are infꦗluenced by the technical abilities of the players, the so called performance level, of both teams.
In the Bundesliga a tyꦅpical outcome of match is determined of coincidence by 86%. 14% are no coincidence and distinct a top team from a potential relegation team.
Stuꦫnning: All teams in the Bundesliga have about🐠 the same conversion of chances.
Home teams score more goals on average. Average 1,66 ho𒉰me 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 m𒆙yth.
Typically 3 go♍als are scored in a match. To be precise, the number of goals has ไdecreased over time and now amounts to 2,8.
Rather not. 46 % of all wins are based upo🍬n a one-goal-margin.
No. Onl♏y 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 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 goals ꦐare 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 amon✅g all teams.
Goalscoring opportunities are a lot more informative for the sake of prognosis. Good t♊eams show a slightly better conversion.
The market value of a team a🧔s determin🐈ed 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 t🅰hat a team scores against an average opponent)
Th💃e coincidence averages out during the course of the season. The longer the season has already pro▨gressed, the more reliable goals and opportunities display the performances of teams.
A foot🌠ball match is dominated by effects of coincidence. Additionally the performance level of offense and defense are correlated.
Without effects of coincidence, the difference of goalsco🍸ring opportunities would perfectly predict the perf✨ormance level.
The 𒅌goal difference is determined by effects of coincidence with 86% (match day) or 29% (season) on average.
Fl🥂uctuations of performance le🎃vels 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 &l🌱dquo;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 fo꧟ot!“
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 predꦗiction 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 ಞspecial.
With the help of the market value and the effective differente of goalscoring opportunities you can come close🌼r to the perfect prediction of the se🧸cond half of the season..
No. In fact only in half of the cases the best team w🧸ins and becomes German champion at the end of the season.
No. Statistically, there are no bogey te𝓀am. The scientist’s search for bogey teams was negative. Looking at it statistically the effect is under 10%.
O🍃f course we know! But it is enough for today, we will let you know another rime.