Breaking Down What a Heavy Workload Means for Goalies in Stanley Cup Playoffs
April 14, 2015
During a furious, unrelenting push for a playoff spot, sometimes coaches are forced to ride their No. 1 goaltender all the way to the finish line. With points at a premium and/or a less than reliable backup, it's difficult to find rest for the starter.
While that's a perfectly acceptable blueprint for reaching the postseason, it's generally not a recipe for playoff success.
Meet Devan Dubnyk of the Minnesota Wild, Braden Holtby of the Washington Capitals and Pekka Rinne of the Nashville Predators.
They are three excellent goaltenders having seasons worthy of Hart Trophy or Vezina Trophy consideration. The other thing they have in common is they have all been ridden extremely hard down the stretch, so hard that if they were horses and their coaches were jockeys they'd be receiving strongly worded letters from ASPCA in the coming days.
What can we learn, if anything, from the recent past about what a goaltender's workload near the end of the season means for the postseason? Because I have nothing better to do, I looked through the numbers for the past five regular seasons and postseasons to see if a heavy/light/medium workload has any bearing on playoff success.
For 82-game seasons without Olympic breaks (2011-12, 2010-11), I looked at the final 30 regular-season games; for Olympic break seasons (2009-10, 2013-14), I looked at each team's games after the break, and for the lockout season (2013), I looked at the final two months of the season.
The sample size for this is 69 goaltenders, not 80, only because there were some situations where late-season injuries (Ben Bishop/Anders Lindback) or time-shares (Cory Schneider/Roberto Luongo, Brian Boucher/Michael Leighton) made it impossible to really study anything.
Heavy workloads = zero Stanley Cups
The last goaltender to win a Stanley Cup while playing at least 70 regular-season games was Martin Brodeur for the New Jersey Devils in 2003. Quick made 69 starts for the Kings in 2012, although he played a mere 20 postseason games while facing just 538 shots, so his playoff workload was as light as it gets for someone playing four rounds.
But 70 out of 82 is 85.3 percent; in the past five seasons, no goaltender to play at least 85 percent of his team's late-season games has won a Stanley Cup.
It doesn't mean that goaltenders fitting that category have all done poorly or had their games dip dramatically, but overall, the effect of playing all those games in February-March-April has a negative effect on games in April-May-June.
Before we look at everyone 85 percent and higher, let's look at the heaviest of the heavy workloads. There have been 20 goaltenders that have played at least 85 percent of their team's final stretch of games over the past five seasons.
85%+ workload playoff goaltenders since 2009-10 | |||||
Goaltender | Season | Pct. of games | RegSv% | POSv% | Result |
Pekka Rinne | 2011 | 97% (29 of 30) | .930 | .907 | 2nd round loss |
Antti Niemi | 2011 | 97% (29 of 30) | .920 | .896 | 3rd round loss |
Corey Crawford | 2011 | 97% (29 of 30) | .917 | .927 | 1st round loss |
Jimmy Howard | 2010 | 95% (20 of 21) | .924 | .915 | 2nd round loss |
Ilya Bryzgalov | 2011 | 93% (28 of 30) | .921 | .879 | 1st round loss |
Henrik Lundqvist | 2011 | 93% (28 of 30) | .923 | .927 | 1st round loss |
Henrik Lundqvist | 2013 | 93% (27 of 29) | .926 | .934 | 2nd round loss |
Antti Niemi | 2013 | 93% (27 of 29) | .924 | .930 | 2nd round loss |
Martin Brodeur | 2010 | 90% (19 of 21) | .916 | .881 | 1st round loss |
Evgeni Nabokov | 2010 | 90% (18 of 20) | .922 | .907 | 3rd round loss |
Antti Niemi | 2012 | 90% (27 of 30) | .915 | .914 | 1st round loss |
Mike Smith | 2012 | 90% (27 of 30) | .930 | .944 | 3rd round loss |
Pekka Rinne | 2012 | 90% (27 of 30) | .923 | .929 | 2nd round loss |
Jimmy Howard | 2013 | 89% (24 of 27) | .923 | .924 | 2nd round loss |
Evgeni Nabokov | 2013 | 89% (24 of 27) | .910 | .842 | 1st round loss |
Carey Price | 2011 | 87% (26 of 30) | .923 | .934 | 1st round loss |
Craig Anderson | 2010 | 86% (18 of 21) | .917 | .933 | 1st round loss |
Pekka Rinne | 2010 | 86% (18 of 21) | .9110 | .9106 | 1st round loss |
Marc-Andre Fleury | 2010 | 85% (17 of 20) | .905 | .891 | 2nd round loss |
James Reimer | 2013 | 85% (22 of 26) | .924 | .923 | 1st round loss |
Totals | ------> | ------> | .920 | .914 | No Cup Finals |
NHL.com |
On average, there's a six-point drop in save percentage in the postseason for the most overused goaltenders. Of those 20 goaltenders, 11 had a decline, which isn't a vast majority, but on the whole, there's a significant decrease in save percentage for those goaltenders with none having reached the Stanley Cup final.
Weirdly enough, two of the three times a goaltender reached the conference finals were both with the San Jose Sharks (Nabokov, Niemi). In 2010, Nabokov went 0-4 in the conference finals (against Niemi) with a .905 save percentage; in 2011, Niemi went 1-4 in the conference finals with an abhorrent .869 save percentage.
Phoenix's Mike Smith in 2012 went 1-4 in the conference finals but with a splendid .936 save percentage; his problem was going against a more-rested Quick, who had a .939 save percentage in the series, and a Kings team that was just objectively better.
As good as that .936 is, it's still an eight-point drop from what Smith posted total in three rounds.
If we only include the 15 goaltenders to play 89 percent or more of their team's late-season games, there's an even bigger drop in save percentage, from .922 to .914.
It seems only logical that the more worn-down the goaltender becomes in March and April, the greater the likelihood his performance will take a dip during the second season. Of the nine goaltenders to post better numbers in the playoffs despite that, eight didn't get out of the second round. Sure, maybe they weren't to blame in most of those cases, but what would they have done if called up to play another 10-14 games?
What can we learn of those goaltenders that did reach the Stanley Cup final?
Stanley Cup finalists and workloads
Here are nine of the 10 goaltenders (the Boucher/Leighton split excludes them) to reach a Stanley Cup final since 2009-10 and their pertinent numbers.
Stanley Cup final goaltenders since 2009-10 | |||||
Season | Goaltender | Pct. of games | RegSv% | POSv% | Result |
2010 | Antti Niemi | 81% (17 of 21) | .912 | .910 | Won Cup |
2011 | Tim Thomas | 67% (20 of 30) | .938 | .940 | Won Cup |
2011 | Roberto Luongo | 70% (21 of 30) | .928 | .914 | Lost Cup |
2012 | Jonathan Quick | 83% (25 of 30) | .929 | .946 | Won Cup |
2012 | Martin Brodeur | 83% (25 of 30) | .908 | .917 | Lost Cup |
2013 | Corey Crawford | 64% (18 of 28) | .926 | .932 | Won Cup |
2013 | Tuukka Rask | 71% (21 of 31) | .929 | .940 | Lost Cup |
2014 | Jonathan Quick | 74% (17 of 23) | .915 | .911 | Won Cup |
2014 | Henrik Lundqvist | 83% (19 of 23) | .922 | .927 | Lost Cup |
Totals | -----> | 74.3% | .924 | .926 | |
NHL.com |
Quite the difference, no? Only three goaltenders saw their numbers drop in the postseason and overall, the group's save percentage increased by two points. That's fascinating to me, because in the numbers involving 85 percent and above goaltenders, we're talking about a regular-season sample size that's around six times greater than the postseason numbers; here, it's only about a 2-to-1 difference between regular season and postseason.
But the small sample size is somewhat problematic, since if Niemi in 2010, Quick and Brodeur in 2012 and Lundqvist in 2013 play one more regular-season game, they reach our boogeyman number of 85 percent. Are we to believe that if they all played 60 more regular-season minutes, history would be different? Would the Flyers have won the Cup in 2010?
What am I, a time traveler with access to parallel universes? And if I was, you think I'm changing outcomes of hockey games and not telling myself to change my college major to business? Or investing in tech stocks in the late-90s? Come on, people.
Since my time machine is not completed, all I can do is expand the field to look at all goaltenders that fall around that magic 74 percent number of Cup final goaltenders and see if there's anything to learn.
That 70s (percent) Show
Is the ideal percentage of games to play down the stretch in the 70s?
70-79% workload goaltenders since 2009-10 | |||||
Goaltender | Season | Pct. of games | RegSv% | POSv% | Result |
Braden Holtby | 2013 | 79% (23 of 29) | .920 | .922 | 1st round loss |
Jaroslav Halak | 2010 | 79% (15 of 19) | .924 | .923 | 3rd round loss |
Brian Elliott | 2010 | 79% (15 of 19) | .909 | .853 | 1st round loss |
Ilya Bryzgalov | 2010 | 79% (15 of 19) | .920 | .906 | 1st round loss |
Steve Mason | 2014 | 78% (18 of 23) | .917 | .939 | 1st round loss |
Corey Crawford | 2014 | 77% (17 of 22) | .917 | .912 | 3rd round loss |
Henrik Lundqvist | 2012 | 77% (23 of 30) | .930 | .931 | 3rd round loss |
Marc-Andre Fleury | 2012 | 77% (23 of 30) | .913 | .834 | 1st round loss |
Jonathan Quick | 2013 | 77% (23 of 30) | .902 | .934 | 3rd round loss |
Ryan Miller | 2011 | 77% (23 of 30) | .916 | .917 | 1st round loss |
Dwayne Roloson | 2011 | 77% (23 of 30) | .914 | .924 | 3rd round loss |
Roberto Luongo | 2010 | 76% (16 of 21) | .913 | .895 | 2nd round loss |
Jonathan Quick | 2014 | 74% (17 of 23) | .915 | .911 | Won Cup |
Jose Theodore | 2012 | 73% (22 of 30) | .917 | .919 | 1st round loss |
Jonathan Quick | 2011 | 73% (22 of 30) | .918 | .913 | 1st round loss |
Ilya Bryzgalov | 2012 | 73% (22 of 30) | .909 | .887 | 2nd round loss |
Tuukka Rask | 2010 | 73% (16 of 22) | .931 | .912 | 2nd round loss |
Tuukka Rask | 2013 | 71% (22 of 31) | .929 | .940 | Lost Cup |
Jimmy Howard | 2014 | 71% (17 of 24) | .910 | .931 | 1st round loss |
Kari Lehtonen | 2014 | 71% (17 of 24) | .919 | .885 | 1st round loss |
Marc-Andre Fleury | 2014 | 71% (17 of 24) | .9154 | .9153 | 2nd round loss |
Roberto Luongo | 2011 | 70% (21 of 30) | .928 | .914 | Lost Cup |
Antti Niemi | 2014 | 70% (16 of 23) | .913 | .884 | 1st round loss |
Totals | -----> | -----> | .916 | .914 | |
NHL |
There's still a decline, but it's only two percentage points compared to the six percentage points in the 85 percent and higher group. Each group of goaltenders came to rest at .914, so are we, and by we I mean I, wasting your time and my time by looking into this? Is goaltending just a crap shoot that can't be predicted in especially small sample sizes?
Well, yeah, sort of. Maybe. But one thing to consider is how all these goaltenders that get knocked out in the first round tend to skew the overall number. Of the 34 goaltenders under consideration to lose in the first round, 22 had worse playoff save percentages compared to their regular-season numbers. That's just a normal part of playing one playoff series and going home.
Even though that's a lot of goaltenders, it's just a bunch of small samples, almost all negative, that don't tell us anything we don't know — if you lose in seven games or fewer, your numbers aren't going to look at all that good most times.
Do the goaltenders who reach the conference finals have any shared characteristics that can tell us something about workloads?
Final Four Goaltenders
There's some overlap with the previous charts, but here are the goaltenders that reached conference finals since 2010.
Conference finals goaltenders since 2009-10 | |||||
Season | Goaltender | Pct. of games | RegSv% | POSv% | Result |
2010 | Antti Niemi | 81% (17 of 21) | .912 | .910 | Won Cup |
2010 | Evgeni Nabokov | 90% (18 of 20) | .922 | .907 | 3rd round loss |
2010 | Jaroslav Halak | 79% (15 of 19) | .924 | .923 | 3rd round loss |
2011 | Tim Thomas | 67% (20 of 30) | .938 | .940 | Won Cup |
2011 | Roberto Luongo | 70% (21 of 30) | .928 | .914 | Lost Cup |
2011 | Antti Niemi | 97% (29 of 30) | .920 | .896 | 3rd round loss |
2011 | Dwayne Roloson | 77% (23 of 30) | .914 | .924 | 3rd round loss |
2012 | Jonathan Quick | 83% (25 of 30) | .929 | .946 | Won Cup |
2012 | Martin Brodeur | 83% (25 of 30) | .908 | .917 | Lost Cup |
2012 | Henrik Lundqvist | 77% (23 of 30) | .930 | .931 | 3rd round loss |
2012 | Mike Smith | 90% (27 of 30) | .930 | .944 | 3rd round loss |
2013 | Corey Crawford | 64% (18 of 28) | .926 | .932 | Won Cup |
2013 | Tuukka Rask | 71% (21 of 31) | .929 | .940 | Lost Cup |
2013 | Jonathan Quick | 77% (23 of 30) | .902 | .934 | 3rd round loss |
2014 | Jonathan Quick | 74% (17 of 23) | .915 | .911 | Won Cup |
2014 | Henrik Lundqvist | 83% (19 of 23) | .922 | .927 | Lost Cup |
2014 | Carey Price | 48% (11 of 23) | .927 | .919 | 3rd round loss |
2014 | Corey Crawford | 77% (17 of 22) | .917 | .912 | 3rd round loss |
Totals | -----> | 76.8% | .923 | .924 | |
NHL |
There's no Marc-Andre Fleury or Tomas Vokoun from the Penguins' 2013 run to the conference finals, because I wasn't sure which goaltender to use. Fleury was, of course, terrible, and he only played 19 of 27 down the stretch. Vokoun appeared in nine of those 27 games and improved dramatically in the postseason. Instead of choosing one or the other to skew the numbers one way, neither makes the chart. Too bad!
The average late-season workloads of goaltenders to reach the final four since 2010 is 76.8 percent; as you may recall the average late-season workloads of goaltenders to reach the final since 2010 is 74.3.
Five of the eight goaltenders to have their numbers take a dive in the postseason were 76.8 percent of higher; Quick (74%) was making his third deep run into the postseason, so maybe there was a cumulative fatigue effect on him. Price was injured at the start of the conference finals and spent a chunk of the post-Olympic break rehabbing an injury.
Of the 10 goaltenders to see a rise in save percentage, nine were below 85 percent in late-season workload. Consider Smith your ray of hope if you cheer for a team that overworked its goaltender over the final 30 games of this season.
It seems that no matter how the numbers are sliced, parsed and massaged, goaltenders that find themselves above the 85 percent threshold aren't as successful as those below it, even if the difference is minimal. The more-rested goaltenders have better track records while the outliers tend to be perennially elite goaltenders, so there's some more hope.
Here are the 69 goaltenders categorized by the round in which their seasons ended, and to me, it really highlights how the heavier workloads down the stretch can be a problem.
Goaltender Round-by-round, workloads, save percentages | ||||
Season ended in... | Pct. of games | RegSv% | POSv% | Difference |
Round 1 | 77.2% | .917 | .908 | -.009 |
Round 2 | 73.2% | .921 | .915 | -.004 |
Round 3 | 76.8% | .923 | .924 | +.001 |
Round 4 | 74.3% | .924 | .926 | +.002 |
NHL |
The second-round numbers appear to put a dent in the workload theory, but the rest factor looks greater because Craig Anderson (2013), Braden Holtby (2012) and Brian Elliott (2012) combined to play 34.5 percent of their teams' games down the stretch due to injuries or a late-season emergence. Remove that trio from the equation and goaltenders that lost second-round series the past five years combined to play 82.3 percent of their team's homestretch games.
The 2014-15 season
Let's wrap this up by looking at the 16 probable postseason starters for each team (some goaltending situations are messy as the playoffs approach, as Vancouver and St. Louis have yet to name a starter) and figure out who is in likely trouble and who finds themselves in more ideal situations.
2014-15 Playoff Goaltenders' Workloads | |||
Goaltender | GP | Pct. of final 30 | RegSv% |
Devan Dubnyk | 58 | 29 of 30 (96.7%) | .929 |
Braden Holtby | 73 | 28 of 30 (93.3%) | .923 |
Pekka Rinne | 64 | 25 of 30 (83.3%) | .923 |
Eddie Lack | 41 | 25 of 30 (83.3%) | .921 |
Carey Price | 66 | 24 of 30 (80%) | .933 |
Andrew Hammond | 24 | 24 of 30 (80%) | .941 |
Corey Crawford | 57 | 23 of 30 (76.7%) | .924 |
Marc-Andre Fleury | 64 | 22 of 30 (73.3%) | .920 |
Ben Bishop | 62 | 21 of 30 (70%) | .916 |
Jimmy Howard | 53 | 21 of 30 (70%) | .910 |
Jaroslav Halak | 59 | 21 of 30 (70%) | .914 |
Brian Elliott | 46 | 21 of 30 (70%) | .917 |
Ondrej Pavelec | 50 | 18 of 30 (60%) | .920 |
Jonas Hiller | 52 | 17 of 30 (56.7%) | .918 |
Jake Allen | 37 | 13 of 30 (43.3%) | .913 |
Frederik Andersen | 54 | 11 of 30 (36.7%) | .914 |
Henrik Lundqvist | 46 | 7 of 30 (23.3%) | .922 |
Ryan Miller | 45 | 5 of 30 (16.7%) | .911 |
NHL |
What a weird year for goaltending! So many time shares and so many goaltenders sidelined by injury during the second half of the season. What can we take from this?
• Braden Holtby and Devan Dubnyk are clearly the goalies we should be worried about. But they have two things going for them: Holtby is only 25 years old, and young people can do amazing things, or so I've heard and vaguely remember, and Dubnyk only played 58 games, as he spent part of the season as a backup in Arizona.
• The flip side of that is all those goaltenders that played 60 percent or fewer of their teams' late-season games. Nine of the past 10 Cup Final goaltenders were above that threshold, with only the weirdness of the 2010 Philadelphia Flyers bucking that trend. Lundqvist won't be sharing time, so maybe this doesn't apply to him, but there's a chance the other five goaltenders will give way to backups before the playoffs are over.
• Everyone else is right in that sweet spot for getting in their work without overdoing it. Maybe Rinne at age 32 playing that many games is worrisome. Then again, he's in almost the same place Lundqvist was for his Cup Final run last year. But if you're a fan of the Blackhawks and Islanders, you have to feel pretty good about everything involving Corey Crawford and Jaroslav Halak.
This has been a really strange year in the NHL, so maybe the recent history won't matter. Maybe Holtby has a .945 in 26 games and wins the Cup; maybe Jake Allen grabs the reins and brings St. Louis a title or perhaps two goaltenders somewhere from the middle of that last chart meet in the Final.
However, the numbers show Holtby and Dubnyk are in the danger zone. Rinne isn't far off.
Be wary the overworked goaltender during the Stanley Cup Playoffs.
All statistics via NHL.com. Advanced stats via Stats.HockeyAnalysis.com and Puck On Net.
Dave Lozo covers the NHL for Bleacher Report. You can follow him on Twitter: @DaveLozo.