This metric is credited to hockey blogger Vic Ferarri. PDO adds together even strength shooting percentage and even strength save percentage. The idea is that the norm will fall somewhere around 1. PDO basically calculates whether a team is playing above or below the average. The general consensus is that lucky or over-performing teams that are performing above the average will regress back to the average whereas unlucky or underperforming teams will return to the norm.
All of these metrics can also be used to analyze individual player performance as well.
This chart shows the Corsi +/- for each team at the conclusion of the regular season. I colored all the playoff teams green and the non-playoff teams in gray. 7 out of the top 10 Corsi +/- are playoff teams. The playoff team with the highest Corsi +/- is Chicago (+380) and the lowest Corsi +/- is Calgary (-463).
This chart shows the Fenwick +/- for each team. The New York Islanders (+312) have the highest +/- and the Calgary Flames (-246) have the lowest. 8 out of the top 10 teams with the highest Fenwick +/- are playoff teams.
When we look at PDO, we can see that 7 out of the top 10 teams are playoff teams. The New York Rangers (102.3) are playing highest above the norm and the Vancouver Canucks (98.9) has the lowest PDO of the playoff teams.
I also plotted these metrics on a scatterplot. This visualization shows Corsi For vs Corsi Against with the bubble size being the PDO for each team.
This visualization shows Fenwick For vs Fenwick Against with the bubble size being the PDO for each team.
Fellow hockey fans – I would be interested to hear from you about how much emphasis you place in these advanced analytics in hockey. Use the comments section below to express your opinions.