Photo credit: Rob Carr
Warning: You’re about to read statistics from someone who can’t keep score at Scrabble.
The Washington Capitals started their season with a 7-game winning streak. They were the talk of the league, a team made of smiles and wins.
They would go on to lose 12 of their next 18 games, their head coach, and their confidence. As of game 25, the Capitals are in a three-way tie for 8th in the Eastern Conference. For perspective, the players on the 9th place team usually get started on their suntans a little earlier than everyone else.
This article takes a look at the numbers behind the Caps season to date to try and give its schizophrenia some context. I’ll look at shots on goal, save percentage, puck possession, power play, and penalty kill.
Because with all of the opinions about why the Caps have fell so far (many I’ve posited myself), I owe you guys some objective assessment without the usual bluster or pageantry.
Before we get into it, a few caveats:
This is what I’ve heard the most: the Caps just aren’t shooting. In my recaps I’ve lamented the Capitals woeful shot output, blaming it for many losses. I wasn’t correct.
The red bars indicate even-strength shots on goal by the Capitals. The blue bars are those shots that yielded goals. Game 23 is MIA. I’m only counting 5-on-5 shots on goal; we’ll look at special teams later.
The glut of losses in November doesn’t show a dramatic departure from October’s winning ways. The culprit for the Caps’ decline must lie elsewhere.
Finally, let’s group games 1-10 and games 11-20 together to see if we can notice a decline in even-strength goals for (EVGF) and even-strength shots for (EVSF). Remember: the Caps were 8-2-0 in the first 10 games and 4-5-1 in their second 10.
Games | EVGF | EVSF |
First 10 | 26 | 253 |
Second 10 | 18 (Δ -8) | 237 (Δ -16) |
That’s a decline of only 16 shots. Did you expect more? I did. So yes, the Caps haven’t been shooting much lately, but that wasn’t why they started losing.
This is the flip side to the above, and it is more telling. Consider this to be two-fold: how many shots are the Caps defense allowing, and — of those shots– how many are the goalies stopping?
The red bars indicate shots against while the teams are at even strength. The blue bars are the portions of those shots which yielded goals. Game 23 is the Bermuda Triangle.
This is a bigger problem than offense and perhaps more connected to the win-loss record overall. Here’s the breakdown of even-strength goals against (EVGA) and even-strength shots against (EVSA) in the games 1-10 (8-2-0) and games 11-20 (4-5-1).
Games | EVGA | EVSA |
First 10 | 17 | 230 |
Second 10 | 24 (Δ +7) | 217 (Δ -13) |
The Capitals haven’t been facing more shots against, they’ve just been stopping far fewer.
So how much do we lay at the feet of the goalies? Here’s the same data plotted as a percentage– to illustrate the goalie’s stopping power at even strength.
The red line is the NHL average even-strength save percentage, about .920. I probably should have identified which games were Vokoun or Neuvy, but oh well.
Tomas Vokoun is an elite goaltender. In Florida he faced tons of shots and turned tons away. Now with Washington, he’s not performing the same. Vokoun is way outside of the Vezina conversation now. We know how good Michal Neuvirth can be; we’ve seen him perform over the last two years. But his numbers this year are awful.
So what accounts for the drop-off? It could be bad conditioning, the loss of Arturs Irbe as goalie coach, the loss of Mike Green on defense, injuries, psychological problems, a gypsy curse, or game fixing. I just don’t know.
Neil already covered this ground over at WaPo, and he recommended patience. If a player is performing below his talent, he usually turns it around eventually. We’ve got two players, who are crucial to the team, performing below their talent. They’ll get better.
Back in the day, the NHL used to record zone time– how long each spent on its ice or the opponent’s. That stat has been deprecated in favor of Corsi and Fenwick, which kind of tells you the same thing: which way the ice is tilting.
Corsi and Fenwick gives you a single number to represent how many shots were directed at each net. If your number is positive, that means your team is firing at the opponent’s net more often than they’re firing at yours. It’s a zero-sum thing, so if your team’s number is plus-6, the other team’s is minus-6. If your numbers are high, that means you’re driving play in the offensive zone. If your numbers are low, you’re defending a lot.
Both stats track only even-strength shots. I’m using Corsi here, because it includes blocked shots.
This number fluctuates a bunch and doesn’t really correlate to wins [Update: This article on Objective NHL proves I’m wrong. Might just be the small sample?]. For example, Detroit was firing shots like crazy when the Caps trounced them in game 7, so the Corsi score is low (minus-12). When Edmonton handed the Caps their first loss on the season one game later, the Caps recorded a season-high plus-37 because they were desperate to score.
In games 1-10, the Caps cumulative Corsi was 57. In games 11-20, Corsi fell to 34. Both numbers tell us that the Capitals are an offensive team that limits opponent activity, but there was a noticeable drop-off when things got rough.
According to Behind the Net, the Capitals are still ranked 7th in Fenwick, which is good, but they’re still 25th in Goals Against/Game, which is atrocious. A few of my game recaps have attributed losses to poor puck possession, but I was wrong. That doesn’t mean there aren’t problems, but the Caps can’t say possession is their primary deficiency.
Once upon a time, the Capitals were the best in the league with the man advantage. In 2009-2010, Washington converted 25.2% of their power play opportunities. Last season, that number dipped to 17.5%, which was about average. After 25 games this season, the Caps are converting at 15%, 21st in the league.
Here’s how that breaks down by game.
The red line is the NHL average– about 16.7%. You’re looking at conversion percentage here– the ratio of goals per opportunities. This does not calculate shot totals during the man advantage, but that’d be fun for a whole other post.
This doesn’t tell us why the power play went lame after game 7. For now, it’s enough to say this is a problem. Three games were lost by a one-goal margin, which a power play goal could’ve filled.
Let’s jump to the other end of the ice and the penalty kill. The Caps are killing 81.8% of penalties, putting them in the bottom third of the league. Last season’s kill rate of 85.6% ranked them 2nd behind Pittsburgh.
Again, you’re looking at percentages, not a breakdown of shots. These are the percentages of opposing power plays that the Caps have killed per game. The NHL average PK% of 83.08% is the red line.
The PK hasn’t slayed the team, but like all things there is room for improvement. Maybe an investigation into goalie performance on PK vs 5on5 is warranted.
It’s all about the even strength goals against. While the offense has certainly declined recently, that’s not the reason for the Caps imploding in November. The biggest factor in Caps losses has been the rate of scoring on even-strength shots on their own net.
You can use that to blame the goalies for underperforming or you can pin it on the blueliners, who could be mitigating the danger of those shots. You could blame it on the absence of Mike Green, a play-making defender with a perfect W-L record this season.
Washington’s power play needs a serious shot in the arm. Assistant coach Dean Evason and Dale Hunter will likely spend time tweaking the PPs (both the how and who), so we’ll be watching this for improvement. The penalty kill is not costing the Caps’ games, but it’s still a mild disappointment so far. But like Coach Hunter said, we gotta start in our end and work from there.
There are a few shortcomings in what you’ve just read.
RMNB is not associated with the Washington Capitals; Monumental Sports, the NHL, or its properties. Not even a little bit.
All original content on russianmachineneverbreaks.com is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)– unless otherwise stated or superseded by another license. You are free to share, copy, and remix this content so long as it is attributed, done for noncommercial purposes, and done so under a license similar to this one.
Share On