Ovechkin’s offensive numbers actually aren’t particularly impressive.
Surprisingly, many in the analytics community are in agreement with many mainstream analysts who believe that Alexander Ovechkin merits serious consideration for MVP.
Considerably less surprisingly, I disagree with all of them.
To be fair, Ovechkin has had a good season and there really aren’t any forwards that have stepped up and separated themselves from the pack.
Still, giving Ovechkin the MVP would be a travesty.
Mainstream analysts see that Ovechkin’s 47 goals leads the league by 7, he has a +/- of +11 — which looks positively stellar compared to the disastrous -35 he put up last year — and that the Capitals are going to make the playoffs. That’s all they need to know.
To them I say it’s time to look beyond goals. Ovechkin’s offensive numbers actually aren’t particularly impressive. In 5-on-5 play, he’s 90th in the league in points per 60 minutes. Plus, Ovechkin has only 26 assists, a microscopic 14 of which are 5-on-5. Since 1970, the fewest assists by a forward to win MVP in a full season was 45 — and that was by Brett Hull in 1990-91, when he potted 86 goals. Even adjusting for the overall decrease in scoring in the league since 1991, Ovechkin’s season isn’t in the same universe,
The love from some in the analytics community is more unexpected. Their argument focuses primarily on Ovechkin’s solid shot attempt differential of 54.5 per cent.
They then apply some magic analytics pixie dust by disregarding Ovechkin’s actual goal differential to calculate what the Capitals’ “expected” goals for and against when Ovechkin is on the ice would be if Ovechkin’s linemates and goalies had a “league-average shooting and goaltending,” rather than the considerably below-average shooting and save percentages they actually have. One commentator suggested that the Capitals’ shooting percentage when Ovechkin’s on the ice should be assumed to increase by 8 points from 9.12 per cent to 9.20 per cent, and the Capitals’ save percentage should be assumed to increase by 14 points, from 90.9 per cent to 92.3 per cent.
In other words, these analytics experts are assuming that Ovechkin’s actual productivity is artificially low because of bad luck and natural variance in volatile stats like shooting and save percentage.
They seem oblivious to the possibility that his linemates’ and goalies’ struggles are actually caused by Ovechkin’s play.
Aside from being a premier goal scorer on the power play there are two things about Ovechkin’s game that stand out. First, he has never seen a shot he didn’t like. Over the past four seasons Ovechkin attempted 2,541 shots, a mind-boggling 635 more than anyone else in the league. Second, although his defense has definitely been better under new coach Barry Trotz,
Ovechkin is still prone to grotesque defensive lapses.
Assuming that Ovechkin “should” be getting league average shooting and save percentages from his teammates conveniently assumes these problems away.
When a player is as poor defensively as Ovechkin is, it isn’t realistic to assume his play will have no impact on his goalies’ save percentages.
When a team’s offense runs through a player with a unique propensity to shoot indiscriminately, miss the net a ton, and rarely pass, then it isn’t realistic to assume that his linemates’ shooting percentages are going to be the same as they would be if they played with a more conventional player.
So I’m going to suggest something truly radical to the analytics community: to gauge Ovechkin’s value we should focus on actual, real-life goals.
When we look at goal metrics, it turns out that when Ovechkin is on the ice in 5-on-5 play, the Capitals’ goal differential this season is 0.8 per cemt lower than when he isn’t on the ice (this is called Goals For % “Rel.”, as in “relative” to the rest of the team). In other words, 5-on-5 the Capitals do better when Ovechkin isn’t on the ice than when he is.
For some elite players it would be fair to dismiss such a result as an aberration. Over the relatively small sample of 70 games, it would be reasonable to conclude that the player was a victim of variance; that he’s just on the wrong side of puck luck.
For example, so far this season Patrice Bergeron, Anze Kopitar, and John Tavares all fall in the same negative territory as Ovechkin.
But as shown in the table, the difference is that these players have a long track record establishing their positive goal differentials, whereas Ovechkin has just the opposite. This year’s negative numbers aren’t an aberration for Ovechkin, they’re the norm. They’re most likely an accurate reflection of his true contribution to his team.
Contrary to what the analysts are saying, Ovechkin isn’t even break-even for the Caps, let alone the league’s MVP.
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