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Oilers vs. Ducks – Game 2: Oilers Are Good Bad

Photo: Chris Williams/Icon Sportswire

After a great opening game where many of their play-by-play numbers were near playoff highs, the Oilers relied heavily on Cam Talbot to steal another win from Anaheim in game two.

From game one to game two, the Oilers overall contribution decreased 44%, their offense was down 34.2% and their defense decreased by a huge 54.7%.

What is fascinating about the 16/17 edition of the Edmonton Oilers, is that when they are bad, they are often a good bad.

By good bad, we mean they did not make significantly more mistakes, they just failed to make more positive plays, both offensively and defensively.

In game two, their negative offense, which is primarily weighted turnovers, and their negative defense, which is defensive mistakes, was only worse by 4% and 7% respectively.

On the other hand, the amount of positive offense and positive defense contributed, was down 31% and 17% respectively.

There is no doubt Talbot was sensational in game two and a huge reason the Oilers are even in round two, but there is more behind Edmonton’s playoff success than just a hot goalie.

Oiler Contribution Highlights

Patrick Maroon was the highest contributing Oiler forward by a stretch, followed by Connor McDavid and Leon Draisaitl who were both significantly below their playoff averages. Significant contributions from all three players came on the Oilers power play.

On the blue line, Andrej Sekera and Kris Russel led defensively, but Sekera had one of his stronger offensive games of the playoffs to vault ahead in overall play-by-play contribution. Adam Larsson finished above his playoff average.

You know the Oilers are living right when their highest minute defenseman in Oscar Klefbom, struggled defensively and was well below his average offense, and they still managed to squeak out a win.

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Tags : adam larssonanaheim ducksconnor mcdavidedmonton oilersleon draisaitloscar klefbompatrick maroon
TruPerformance

The author TruPerformance

The TRUPERFORMANCE analysis model systematically captures player performance. This information reflects each player's in-game contributions. A contribution is made when a player either creates or denies an advantage. We refer to these contributions as PLAYS.

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