Bundesliga Match Facts powered by AWS | Shot Efficiency and Passing Profile | Amazon Web Services

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Опубликовано 9 сентября 2021, 19:35
Shot Efficiency: Football fans love to revisit and break down scoring opportunities to better celebrate or mourn key game moments. This new stat helps fans determine which players or teams best exploit their chances at scoring a goal. It compares the number of goals that a player or team has actually scored with the cumulative value from Expected Goals (xGoals)—an existing Bundesliga Match Fact—which is the number of goals the player or team should have scored based on the quality of their attempted shots.

The difference between these two values is the Shot Efficiency number. If the value is negative (shown on TV by a red arrow pointing down), the player or team has scored fewer goals than would have been expected. If the value is positive (green arrow up), the player or team exceeded the expected value.

For the first time, each player’s efficiency can be objectively assessed based on the overall quality of shots and the number of goals scored. For example, this advanced stat can compare two strikers who scored the same number of goals after 10 match days to determine which player is converting goals in challenging versus easy situations. Commentators can also use the stat, for instance, to analyze if players have a high number of goals because they are well supported by their teammates or because they exploit openings in the defense.

Passing Profile: Fans often put themselves into a player’s shoes and compare the choices they might have made in a given situation to what the player actually did. This new stat helps fans understand how players think and decide where to pass the ball. It also provides deeper insights into the pass quality and pass strength of players and teams, including which passing decisions they prioritize, such as an offensive pass, passing the ball back, or opening up play with a long ball.

Before Passing Profile, the effectiveness of player passing was measured primarily by the number of passes that successfully reach a player’s target; now, with Passing Profile, it is possible to assess the quality of passes too, accounting for pass difficulty.

For instance, by looking at how many opponents press the recipient and passer, how high the ball is in the air, and how many opponents were positioned between the recipient and passer, the stat calculates the pass difficulty rating. It also offers further insights into the passing behavior of a player or team by identifying the number of long and short passes, pass direction, and the type of passes a player favors.

These two new Match Facts join Speed Alert, Goal Probability, xGoals, Most Pressed Player, Attacking Zones, and Average Positions: Trends to bring the total number of insights available for Bundesliga fans to eight. Information on all of these statistics can be found at amzn.to/38VKz5G.

Football fans also can follow all of the latest Bundesliga action on Bundesliga.com and via the official Facebook, Twitter, and Instagram channels.

Learn more about AWS and Bundesliga at amzn.to/38VKz5G.

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