Frozen Tool Forensics: Per 60 on the Bubble

Chris Kane


It is Bubble Week over here at Dobber Hockey. All of our articles this week have been touching on players with question marks. The ones you might be considering keeping, or might not. For my article this week we are going to be looking at production per 60. It is particularly interesting to me to look at players who are performing well given their opportunity.

For many of these players we will be discussing, the literal "keep" or not question will depend on the depth of the league and how many players you typically keep. If your league is a keep three, or a keep five, likely you will have better options than the ones we are going through today. I am purposefully looking a little bit deeper to see what diamonds we can find.

As far as process goes, I put together a custom table. I wanted some general per 60 numbers so pulled the Per 60 Min report to get that info. I also wanted to compare that data to a player's expected goal numbers, so pulled the Expected Goals/60 report. Finally I also wanted to be able to filter by time on ice, so I grabbed the Ice Time report as well. Once I had all of these exported, I pulled the data I wanted from each into a separate sheet.

NamePosTeamGPPPTOITOITotal PTSPer 60 GPer 60 APer 60 PTS5×5 MinutesxGF 5v5Per 60 xGF 5v5

The first columns are fairly straight forward, (Name, Pos, Team, GP) and are listed in most of the reports. I then included average power-play time on ice and total time on ice. I am going to use that in some of the filters to target certain kinds of players. We then have a player's total points and then goals, assists, and points per 60. I then included a few five-on-five specific stats, a player's total five on five minute, their total expected goals, and their expected goals per 60. The expected goal numbers are based on how many goals were expected to be scored while they were on the ice, not necessarily how many expected goals they should have scored, or even how many points they should have gotten. It can be helpful to have a comparison and give us an idea if the production we saw was a result of luck and being on the ice for strong play.

As far as "Bubble" goes, I am looking at two sets of players. One set has performed well in limited minutes, while the other had the minutes and good underlying numbers, but less than expected production. In each set I will highlight a few of the options.

On to the numbers. For our first set of players, we are going to be looking at players who had