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Euro 2020 Prediction Game

Euro 2020 Prediction Game Point System:

Game Points

Points for correct score 3 (For example predict 3-0 and the result is 3-0 award 3 points)
Points for guessing a draw 3 (For example predict 2-2 and the result is 1-1 award 3 points)
Wrong score but predicted a win 2 (For example predict 1-0 and the result is 2-0 award 2 points)

Points above are not cumulative, for example predict 2-2 and the result is 2-2, you gain 3 points, NOT 4 points

Bonus points
Points for correct number of goals 1 (For example predict 3-0 and the result is 3-1 award extra 1 points)
Points for correct goal difference 1 (For example predict 5-3 and the result is 3-1 award extra 1 points)

Bonus points are cumulative.

The prediction is for the final score, not only 90 minutes. So, if for example the final vs Italy ends 2-2, goes to extra time (no goals) and penalties (5-4 in our favor) the correct prediction would be Germany – Italy 7-6. Same goes for Cup games, or knockout rounds. It is more difficult to predict the final score, but I am pretty sure that even then someone may have predict it right.

Also in case of a tie breaker between players, the one with the most absolute correct predictions (6 points) wins it.


Euro 2020 Prediction Ranking

Users Predictions:

Euro 2020 Users Predictions

Euro Teams Ranking Table:

Euro 2020 Teams Ranking Table

No matches available in this championship.

Is Leroy Sané the big game player Bayern needs?

Leroy Sané in the 17/18 season

Is Leroy Sané the big game player that Bayern has been missing in the recent years?

It took Leroy Sané a whole season to settle in and find his role within the new team – something normal for a young guy in a new country. One season made of ups and downs, both from the technical and from the “know-how” point of view, a season which ended for Manchester with no prize in their hands. Continue reading

How Does Our Bundesliga Season Compare Statistically with Past Seasons?


Now that our Bundesliga season is over, it is time for careful reflection on it and what it means for Bayern. I’ve chosen to focus this analysis almost solely on expected goals data. You have probably heard of Expected goals(xG) by now, but if you haven’t, it is simply a method to estimate the number of goals you should score based on the number and quality of the shots you take. There are a number of limitations to this statistic, but, because it is much less dependent on luck than goals, it remains one of the best ways to compare teams with teams and seasons with seasons.  I’ve decided to use it here because I think a combination of luck and bad finishing have served to obscure some interesting trends over this season and over the last few seasons. Thus, I’ve pulled expected goals statistics for the last few seasons from Understat, which has expected goals data for every Bundesliga season since the beginning of 2014/15.

Continue reading