Oddset vorhersage

oddset vorhersage

Livescore, Vorhersagen und Ergebnisprognosen. Die Vorhersage zeigt auch das berechnete Resultat für jede Spiele. Wir bieten in wenigen . Oddset Ligaen. Livescore, Vorhersagen und Ergebnisprognosen. Die Vorhersage zeigt auch das berechnete Resultat für jede Spiele. Wir bieten in wenigen . Oddset Ligaen. Fussball Vorhersagen, Prognosen und Tipps für heute.

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Except for those who did actually watch it. But the exact circumstances of the 1: Information might also be scattered out and washed down the river as small nuggets.

In this case they need to be gathered from different sources. But they might also come across as huge layers.

Data from ebay, facebook or amazon can only be mined using industrial techniques or — or in our case computer clusters. In data mining as well as in regular mining one does need tools.

Although, tools in data mining are merely digital consisting of algorithms and computer programs. But one thing remains true: There is a specific tool for every task.

Choosing the wrong algorithm in data mining can be compared to digging a hole with a screwdriver. Automatic algorithms can be used to crawl the internet.

But there are easier tasks as well. A simple sorting of data according to a certain criterion is dobe by an algorithm. So is the filtering of useless information.

Once the right tool has been found to dig for ore, oil or diamonds these need to be processed. Diamonds have to be polished, ore has to be smelted and oil needs to be refined.

This is similar for information. After extraction data need to be refined and interpreted. This can be done using simple diagrams or in the form of predictions.

From the known results and circumstances of previous events the outcome of future events is predicted. From the well known constellations of previous soccer games a prediction for upcoming one can be made.

By using data mining. World Cup winner and cup holder Spain enters the stage against Italy. Looking good for Spain in this very match. Can the Squadra Azurra fight back?

Especially because our prediction does not match with the betting odds. Denmark is not as clear an underdog as assumed. Is this going to be the next surprise?

Scrambeled eggs are tasty and will give you the necessary strength to make it all the way to the final of the Euro In a European Championship this is not as clear.

Well, there are official home and away teams so that everyone knows what to wear but a real advantage of the home team does not exist.

As already stressed in the previous post this is completely different for the matches of the qualifying stage. Here the home team does have a significant advantage.

In fact it looks like, soccer players are actually playing better having their own supporters behind them. This fact however, comes with some serious problems that need to be avoided in order to reliably predict the outcome of the games for the Euro.

The most simple solution would be to use matches from European championships only. But that also comes with serious caveats: And the histories of those games are a lot more difficult to access.

The FIFA ranking for example only exists since So what do we do? As long as it takes for egg-white and yolk to form one yellowish substance.

What we basically do is a simulated coin toss. Everything stays the way it was. Home- and away team will be switched. Well, we are still unable to predict draws but overall two thirds of the games are classified correctly.

Eight out of eleven home team wins and seven out of ten away team wins are identified correctly. This model does work accuarately enough. And now things are getting interesting.

Within the tournament things are constantly changing. Favourites are dissappointing the audience by playing uninspired and boring, the Germans as usual need a few games to discover their potential and some underdogs are doing surprisingly well.

This is the reason why we are going to update our predictions on a daily basis. Recent results can and need to be taken into account.

Despite all that we might just take a look into the crystal bowl. The advantage of playing at home which was taken into account for Poland and the Ukraine will get Poland straight to the quarter finals.

Second place is going to be a tough race between Russia and the CzechRepublic with the Russian having a slight advantage.

I cannot help stating it: This is the toughest group of the tournament. In turn this make it hard to predict. In fact the differences are so tiny that it might be of importance who is just slightly better on that very day.

Hard competion between Denmark, the Netherlands and Germany to the very last minute. Two out of three from Southern Europe.

It will come down to Ukraine or France in group D. In case the Ukraine manages to use the advantage of playing at home it seems possible that they make it to the quarter finals.

England seems to be slightly ahead especially against France. But can they do it without Rooney? Of course we are going to compare our results with others.

This is why we will not only post our prediction but also betting odds and the illuminated predictions of our local expert Jan Hendrik.

Poland is going to win its first match. Or can the Greek come up with the big surprise just like in ? Highly unlikely according to our algorithm. Betting odds and our predictions agree on a tight matches.

Maybe some tiny advantages for the Russians. As a boy I was not very fond of modeling. My fingers are all thumbs, which is why I kept breaking the small pieces that were supposed to become ships and airplanes.

On rainy Sunday in April I even glued my thumb to the desk. The end of a short and unsuccesful career in model building. But still, I am building models today.

Or better, I have them build by the computer. Imagine you had never seen an airplane in your life. Neither did you see a ship. Now imagine someone was going to take you by the hand and kept showing you airplanes: Passenger planes, biplanes, military jets and cargo aircrafts.

After that someone would be showing you ships: Cruise liners, oil tankers, container ships, fishing boats and yachts.

If you now had to decide about an unknown vehicle you could say with certainty: Despite all the differences between the individual types of vehicles you had learned from the examples.

The computer does the exact same thing. It learns from examples. It is creating rules. One of those rules could be: A ship does not have wings.

How those rules are created can be very different from algorithm to algorithm. But what comes out of a learning algorithm is always the same.

Using this model the computer is enabled to decide wether an unknown vehicle is a ship or an aircraft. For the case of soccer matches learning is a little more difficult.

The algorithm has to distinguish between three instead of two possible outcomes. And soccer always comes up with surprises. There are underdog wins, early red cards, offside goals, unjustified penalties and Arjen Robben.

Nevertheless, can one use the computer to learn a model from examples. The question is however, if the model can be used for predictions.

If one follows along on that track one ends up with the question: When is a model a good model? And the answer is: When it models reality accurately enough.

That is not very precise, I know. But what accurately enough means depends strongly on what the model is going to be used for. A boat folded from paper will slowly drift along on the river while my authentic and very accurate model of the Titanic is at home impressing the neighbours.

If anyone at all. The same thing is true for our models. They also have to describe reality to some extend. In order to evaluate if they can be used for prediction they have to be tested.

Testing is done using vehicles where we already know wether they are ships or aircrafts but that were not used for learning.

We decided to use the Euro in Austria and Switzerland as a test. The outcomes of all games of the group phase are known and can now be compared to the predictions of our algorithms.

Doing that one finds that nine out of ten wins of the home teams are classified correctly. Only three out of eleven are recognized correctly.

Taking a look at the draws things are even worse. None of those is classified correctly. But individual matches are interesting as well.

The loss of the German team against Croatia is predicted correctly. Looking at the individual parameters for both teams one finds that Germany beats Croatia in every single one.

Same thing for the win of the Swiss over Portugal. And again the Portugese seemed to be better in every single parameter. Is this the end of our idea of predicting the Euro?

Did the algorithm develope some kind of intuition or sixth sense? To address these questions one has to take a look at the predictions and at the examples that were used for learning.

Starting with the draws one finds that there are only three draws present in our test case. That is way to few to make any statements.

More matches especially more draws are needed. But also the examples the learner was trained on are important.

So, probably more draws are needed for learning as well. For wins of the home and away teams things are little more complicated.

Most of the home wins are reconized as such but there are more home wins predicted as well, 19 overall. Compared to only four predicted wins of the away team that is a lot.

Thinking about games we looked at one immediately finds that the usual advantage of the home team is not present in a European championship.

Except for the hosting countries. So, what happens as a consequence is that in case the difference between the two teams is not very large it is more likely that the home team will win.

Putting it into an example the chance of a home team win is much larger for the match Croatia — Germany than for Azerbaijan- Germany.

Such an effect is called a bias and will of course influence the prediction. Wins of the home team will be predicted much more often.

Especially if the difference in strength is not very big. Like in a Euro. Execpt for soccer June is known for something else: My Grandma taught how to make jam out of those.

Two pounds of fruit, one pound of sugar, cook for five minutes and fill into a jar while still hot. Sounds as simple as it is.

Collecting historical soccer results is just as simple. Within minutes a search on google can find you basically anything you want.

Histories of all participants as well as the results of all of the final tournaments can be acessed via various websites.

And of course there are still friendlies and the World Cup. At this point one has to decide. A little more expensive but well, organic. Or the cheap ones on sale.

My Grandma always says: They have to be just perfect. Red and and fruity and full of taste. This is true for data as well. Criteria are different though.

In our case it was important that all of the basic parameters circumstances of the game could be accessed easily.

This website proved itself to be very useful. Pretty good so far. So better get some sugar. Or in our case: Go to the FIFA website. The FIFA rankings can be accessed back until The rankings at the time of the game are an important parameter for the actual strength of the individual teams.

So is the trend. Did a nation improve? Strawberries and sugar make a pretty good jam. A little lime juice and shot of Cointreau make a taste that only Grandmas are capable of.

The same thing is true for data extracted from the Fifa ranking. They can be improved enormously using a simple trick. Not only the absolute ranking is of interest but also the difference in ranks.

So ist the difference in points. Now all ingredients just have to be cooked and filled in jars. Nevertheless, one is now enabled to predict the outcome of soccer games.

Or to make jam. Sometimes you cannot avoid the question what you are doing for a living. In case I add that I am doing this in Physics causes appreciation sometimes or surprise most of the time.

Different from what you see on TV was the best I could come up with. There's not a single blinking light in my office. But if I try to nail it down to a single point this is what I do: I classify events from a neutrino detector at the South Pole.

Usually, only physicists understand that without asking further questions. So maybe I have to simplify things. The actual location of the detector does not really matter.

So I could say: I classify events from a neutrino detector. But still it's not nice. Now I would have to explain what a neutrino detector does.

Difficult without taking the scenic route and mentioning Wolfgang Pauli and his invention of the neutrino. Without describing the discovery of the neutrino within the famous Poltergeist experiment.

Even without a short introduction to the standard model of particle physics. You see where this is going? But what is an event?

In principle an event can be anything: Tomorrow's gas price, the outcome of the next election or the outcome of a soccer match. But how can a soccer match be similar to a physical event?

If you won't settle for obvious things like the trajectory of the ball it can be summarized like that: Both can be described by certain parameters.

Parameters are basically the circumstances of an event. How are the team ranked? Who's the favorite for the bookies? Who has the better offense?

Who the better defense? In case parameters and labels are known for one might get really brave starting to make predictions. For league games, friendlies or the EURO.

And that is exactly what we are going to do. We will try to predict the games of the EURO and in a series of articles we will explain how we did that.

Falls dies nicht der Fall ist, können wir keine Prognosen berechnen. Looking good for Spain in this very match. KAA Gent 14 7 2 5 Who casino online gratis sin descargar tragamonedas make it to the final? AS de Saint Etienne. The rankings at the time of the game are an important parameter for the actual strength of the individual teams. Who has the better offense? They can be improved doom bewertung using a simple trick. Allerdings gibt es noch nachschusspflicht cfd paar weitere Faktoren, die über die Qualität des Angebots entscheiden. Exlusiv für neue BigBetWorld Kunden:. And that is exactly what we are going to do. Open source software licenses for Google Chrome source code constitute separate written agreements. Draw, says our model. AC Sparta Praha 14 8 3 3 Wir Beste Spielothek in Leupoldsgrün finden Ihnen den Gutscheincode zu. Ich möchte dann in einem Feld die 3, 1 oder 0 Punkte anzeigen. Auf bet-at-home Link oder Banner auf www. Atletico Paranaense - Cruzeiro MG. Gewinne können nur ausbezahlt werden, wenn Sie eine gültige E-Mail Adresse angegeben haben. Spielteilnahme bei jedem Wettanbieter ab 18 Jahren! Egal ob Fussball oder Tennis Tipps für Heute. Gerade Tennis Wetten sind sehr beliebt. So können Sie immer mitverfolgen, welcher Tipper gerade auf welcher Position Beste Spielothek in Unterhadermark finden.

Oddset Vorhersage Video

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Da die Willkommensangebote book of ra fur iphone 5 Online Wettbüros stark variieren können und es sehr viele Details z. Dabei sind aber nicht nur nur deutsche Wettanbieter im Fokus, sondern viele weitere Wettbüros im Ranking. Bei uns verpassen Sie keinen Willkommensbonus. Der Service hat auch viele interessante Features: Einem guten Start folgte ein Durchhänger inklusive Pokalpleite, zuletzt stehen zehn Punkte aus vier Partien zu Buche, mit denen sich die Kiez-Kicker an die Aufstiegsplätze heranpirschten. Hinterher sprach Heidel ziemlich zufrieden über. Hierbei werden wir uns hauptsächlich auf Fussball Wetten und somit auf Fussball Tipps fokussieren. Hallo casino adrenaline no deposit bonus code, ich habe eine Frage an alle Excel-Kenner. Sollte das stimmen, würden den Citizens harte Sanktionen drohen. Solche guten Insider-Tipps gehen bei der täglichen Masse an Vorschlägen leider immer wieder Beste Spielothek in Saffelberg finden. RSC Anderlecht Brussel 14 8 3 3 Somit gibt es hier nur die besten Sportwetten Tipps zu jeder 1.

Trifft dieses zu, so kann man sich über Gewinne freuen. Die Quoten sind hier meist zwar nicht überragend, sofern man nicht auf höchst unwahrscheinliche Ereignisse hofft, doch die Wahrscheinlichkeit, dass man gewinnt ist vergleichsweise hoch, wenn man sich andere Wettarten anschaut.

Hier sagt ein Spieler zwei Ereignisse voraus. Sollte eins schon mal zutreffen, ist noch nichts gewonnen. Erst wenn beide Annahmen stimmen, wird der Gewinn ausgeschüttet.

Die Quoten sind hier gleich viel höher, jedoch ist auch der Einsatz bereits futsch, falls man nur mit einer Vorhersage falsch liegt.

Nach dem gleichen Prinzip funktioniert auch die Dreifach-Wette. Hier ist die Anzahl der Vorhersagen, die zutreffen müssen bei drei festgelegt.

Aber das sagt der Name ja schon aus. Das Ganze kann so bis 20 Annahmen weitergehen. Stimmt jede einzelne, dann kann man sich über einen stolzen Gewinn freuen.

Allerdings ist es auch ärgerlich, wenn man 19 Ereignisse korrekt prognostiziert hat und dann die Nummer 20 leider nicht zutrifft.

Natürlich geht der Einsatz in einem solchen Fall mal eben flöten. Dies ist das normale Risiko einer Multiple Wette.

Ähnlich wie bei der Multiple Wette werden hier mehrere Vorhersagen getätigt. Doch man gewinnt hier auch, wenn man mit einer dieser Annahmen daneben liegt.

Die System Wette gibt es in unterschiedlichen Varianten. Allerdings ist der Gewinn auch deutlich wahrscheinlicher.

Und so stellt sich nur noch die Frage, auf welche Sportarten Sie es persönlich abgesehen haben. Tausende Wetten sind so möglich.

Dazu kommen einige weitgehend unbekannte Sportarten, zum Beispiel aus dem Bereich der eSports, wie sie der Anbieter Netbet im Portfolio hat.

Den richtigen Anbieter finden Sie dann schon. Es gibt heutzutage kaum noch eine Sportart, auf die nicht gewettet werden kann.

Gerade jüngere Spieler würden ungern auf die Möglichkeit des mobilen Glücksspiels verzichten. Hier geht alles schlichtweg schnell und direkt und man kann auch bei Freunden und in der Sportsbar noch schnell einen Einsatz tätigen.

Daher gehört zumindest eine ansprechende Aufbereitung des Online Wett Angebots für den mobilen Bedarf zum guten Ton, wie es beispielsweise bei 10Bet der Fall ist.

Noch besser ist natürlich eine eigens entwickelte App, die der Desktop-Variante in Sachen Angebot und Möglichkeiten in nichts nachstehen sollte.

Es kommt hier auch auf eine gute Übersichtlichkeit und eine einfache Navigation an. Doch mit dieser kurzen Lektüre haben Sie bereits einen Schritt hin zum erfolgreichen Wetten getätigt und so schwer war dieser doch gar nicht.

Merken Sie sich, worauf es ankommt und finden Sie so das passende Gesamtkonzept. Dieser Grundsatz gilt jedoch auf keinen Fall für den Punkt der Sicherheit.

Hier darf man keine Kompromiss eingehen. Die Regulierung, Zuverlässigkeit und Seriosität der Anbieter sind von alles entscheidender Bedeutung.

Ist diese nicht gegeben, so kann man sich sämtliche Charakteristika gleich mal schenken und sich einen anderen Anbieter suchen. Ist man jedoch mit diesen Punkten zufrieden, so kann man getrost einen Vergleich zu anderen Unternehmen ziehen und auf die anderen Features im Angebot achten.

Wettbonus ohne Einzahlung Gehören Sie zu denjenigen interessierten Spielern, die sich gerne auf Sportwetten im Internet einlassen würden, sich jedoch noch nicht ganz sicher sind, ob das überhaupt das richtige für sie ist.

Angebot des Testsiegers im Portrait. Zur Webseite von Betway. Generell finden sich folgende Boni Arten im Markt: Dies funktioniert dann nach dem gleichen Prinzip wie die Willkommensboni und man findet als Kunde so angenehm zurück ins Spiel Treueprämien: Online Anbieter machen Treue-Boni auf jeden Fall einfacher und sehr transparent möglich Empfehlungsboni: Zahlungen Diese sind im gleichen Atemzug zu nennen.

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Die Spielregeln Es mag zwar etwas lästig erscheinen, doch es lohnt sich, einen Blick in die allgemeinen Geschäftsbedingungen des gewünschten Anbieters zu werfen.

Der höchste Quotenschlüssel Beliebte Sportarten im Angebot. Zum Beispiel wissen Spieler dann auch was folgende Wetten genau bedeuten: Mobiles Wetten Die Bet App.

Die Plattform des Testsiegers Betway. Exlusiv für neue Betway Kunden:. Not only as a forest ranger one has to deal with trees. Data Miners also work with trees on a regular basis.

In many cases models used for predictions are based on trees. But just like regular trees decision trees do not just fall off the sky they have to grow.

In principle growing a decision tree is nothing more than a big ordering proceeding from the roots towards the leafs.

Anything can be sorted. Imagine you were looking at a pile of soccer games that neede to be sorted by their results.

Criteria used for sorting are up to you. The only thing you would have to keep in mind is that you need to use the same criteria for every game.

The actual result of the game can not be used for sorting. You might start by looking at the Fifa ranking of the away team.

All games with this particular parameter being greater 63 go to a newly made left pile while the rest goes to the right one.

By doing so you already achieved quite a good separation. But the separation can get better! Starting from each of the piles you can create two new ones.

That also will have to happen according to a certain criterion. Maybe the trend — up, down or equal. This little game of creating piles from piles from piles continues until no more piles can be created.

This is the case when either all games in a pile already have the same result or are so similar that the pile can not be split up any further.

Analog to real trees these final, small piles are called leafs. The pattern evolving during this procedure of sorting and piling gets wider on top.

Just like a tree. So, what was grown with your help is a decision tree. With the help of your decision tree you can now start classifiying matches that ar e still about to happen.

According to its parameters this game will be processed through all the branches of the decision tree until it ends up in a leaf. To come up with a prediction you will now have to take a look at all the matches used to create the leaf.

If all of them have the same result the prediction for Spain — Croatia will be this very result. Things are not quite as simple when the games inside the leaf have different results.

But in this case it is also possible to come up with a prediction. You might take the result of the majority of the matches in the leaf for example.

Or you might just calculate the probability of the individual results. Since Hermann the Cheruscan it is well known that if you will have a clear advantage if you are familiar with forests.

That is not only true in case of a Roman invasion lead by a certain Quintilius Varus but also in the field of machine learning. This very learning algorithm called Random Forest has been developed by Leo Breiman an d basically works like the audience joker on Who wants to be millionaire.

All of the trees are created independently and come up with an individual result on how a particular match ends. The final prediction is then achieved by averaging over all predictions.

The advantage of this method is that it will not only return a certain prediction but also the probability it calculated for a certain result.

To make such a forest work it has be made sure that all the trees are different. This is done by drawing a subset of parameters at random when splitting up a certain pile.

From all the selected attributes the one that has the best separation power is chosen. By doing so a Random Forest is generated in which none of the trees is the same and all of the trees can come up with an individiual decision on how a match will end.

The predicted strength of the Danish for all games so far seems to be more like a natural phenomenon. Can they surprise again? Our model does see some advantage for the Czech team but the psycholigical effects of playing at home are hard to predict.

Sometimes model predictions are weired. Looking at the performance of the team so far the clear advantage of Greece seems a little absurd. The predicted draw puts the English into a difficult position.

Will they make it to the quarterfinals? Advantages for Italy versus Croatia. Still a tough race between the three teams from Southern Europe.

Spain with a clear advantage against the fighting Irish. Will they make a giant leap towards the quarterfinals?

Will the Danish surprise again? Once more our predictions and the betting odds disagree. With a win Denmark enters the quarterfinals and Ronaldos chances are merely theoretical.

Great news for the Germans! The predicted draw does not help the Dutch but gets Germany a lot closer to reaching the quarterfinals.

A statistician, a computer scientist and a physicist meet at a party. What starts out like a joke is really the beginning of a very successful collaboration at TU Dortmund University.

In principle this works as follows: Statisticians will come up with a new method which is then efficiently implemented by the computer scientists and applied to large data set by the physicists.

And all of this goes under the name of data mining. Mining, that does sound like tradition. Like the work of an actual craftsman.

Well, we do not carry around lamps and do not go underground. And also helmets are only worn at very special occasions. But still data mining can be compared to regular mining.

The search for gold, diamonds or coal on the one hand and the search for information on the oter hand.

But the similarities continue. Just like coal or oil information might be hidden in different depths.

One day they are found directly at the surface and can be found in a simple google search. Another time they might be hidden under huge amounts of useless data one has to dig into.

Soccer data are somewhere. The results of games can be accessed easily. Thanks to wikipedia the history of a lot of teams can be traced back to the beginning of time.

But the result itself does not tell us anything about the circumstances of the game. Except for those who did actually watch it. But the exact circumstances of the 1: Information might also be scattered out and washed down the river as small nuggets.

In this case they need to be gathered from different sources. But they might also come across as huge layers.

Data from ebay, facebook or amazon can only be mined using industrial techniques or — or in our case computer clusters.

In data mining as well as in regular mining one does need tools. Although, tools in data mining are merely digital consisting of algorithms and computer programs.

But one thing remains true: There is a specific tool for every task. Choosing the wrong algorithm in data mining can be compared to digging a hole with a screwdriver.

Automatic algorithms can be used to crawl the internet. But there are easier tasks as well. A simple sorting of data according to a certain criterion is dobe by an algorithm.

So is the filtering of useless information. Once the right tool has been found to dig for ore, oil or diamonds these need to be processed.

Diamonds have to be polished, ore has to be smelted and oil needs to be refined. This is similar for information. After extraction data need to be refined and interpreted.

This can be done using simple diagrams or in the form of predictions. From the known results and circumstances of previous events the outcome of future events is predicted.

From the well known constellations of previous soccer games a prediction for upcoming one can be made.

By using data mining. World Cup winner and cup holder Spain enters the stage against Italy. Looking good for Spain in this very match.

Can the Squadra Azurra fight back? Especially because our prediction does not match with the betting odds.

Denmark is not as clear an underdog as assumed. Is this going to be the next surprise? Scrambeled eggs are tasty and will give you the necessary strength to make it all the way to the final of the Euro In a European Championship this is not as clear.

Well, there are official home and away teams so that everyone knows what to wear but a real advantage of the home team does not exist.

As already stressed in the previous post this is completely different for the matches of the qualifying stage.

Here the home team does have a significant advantage. In fact it looks like, soccer players are actually playing better having their own supporters behind them.

This fact however, comes with some serious problems that need to be avoided in order to reliably predict the outcome of the games for the Euro.

The most simple solution would be to use matches from European championships only. But that also comes with serious caveats: And the histories of those games are a lot more difficult to access.

The FIFA ranking for example only exists since So what do we do? As long as it takes for egg-white and yolk to form one yellowish substance.

What we basically do is a simulated coin toss. Everything stays the way it was. Home- and away team will be switched. Well, we are still unable to predict draws but overall two thirds of the games are classified correctly.

Eight out of eleven home team wins and seven out of ten away team wins are identified correctly. This model does work accuarately enough. And now things are getting interesting.

Within the tournament things are constantly changing. Favourites are dissappointing the audience by playing uninspired and boring, the Germans as usual need a few games to discover their potential and some underdogs are doing surprisingly well.

This is the reason why we are going to update our predictions on a daily basis. Recent results can and need to be taken into account.

Despite all that we might just take a look into the crystal bowl. The advantage of playing at home which was taken into account for Poland and the Ukraine will get Poland straight to the quarter finals.

Second place is going to be a tough race between Russia and the CzechRepublic with the Russian having a slight advantage. I cannot help stating it: This is the toughest group of the tournament.

In turn this make it hard to predict. In fact the differences are so tiny that it might be of importance who is just slightly better on that very day.

Hard competion between Denmark, the Netherlands and Germany to the very last minute. Two out of three from Southern Europe. It will come down to Ukraine or France in group D.

In case the Ukraine manages to use the advantage of playing at home it seems possible that they make it to the quarter finals.

Borussia Dortmund 10 7 3 0 FC Bayern München 10 6 2 2 RB Leipzig 10 5 4 1 Eintracht Frankfurt 10 5 2 3 Juventus Torino 11 10 1 0 Inter Milano 11 8 1 2 SSC Napoli 11 8 1 2 AC Milano 11 6 3 2 SS Lazio Roma 11 7 0 4 Paris Saint - Germain 12 12 0 0 Lille Olympique SC 12 8 1 3 AS de Saint Etienne 12 6 4 2 Olympique Lyonnais 12 6 3 3 PSV Eidhoven 11 11 0 0 Ajax Amsterdam 11 9 1 1 Feyenoord Rotterdam 10 6 2 2 Heracles Almelo 11 6 2 3 FC Utrecht 11 5 3 3 KRC Genk 14 10 4 0 Club Brugge KV 14 9 4 1 Royal Antwerp FC 14 8 4 2 RSC Anderlecht Brussel 14 8 3 3 KAA Gent 14 7 2 5 SK Slavia Praha 14 11 1 2 AC Sparta Praha 14 8 3 3 Lechia Gdansk 14 8 4 2 Jagiellonia Bialystok 14 8 3 3

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