Taking a closer look at Brooks Orpik, Part 1
In my recent post about the Caps signings in free agency, I was critical of the deal to which the Caps signed Brooks Orpik. However, in that post I also mentioned that Orpik started more shifts in the defensive zone, as well as faced the toughest competition among all Penguins defenseman last season. So, while Orpik’s puck possession numbers are troubling, the zone starts and quality of competition are important to keep in mind. Make no mistake, I still think this is a terrible contract for the Caps. However, I thought it might be helpful to look at other defenseman around the league who faced zone starts and/or competition similar to Orpik’s this past season. The one difference to the ZS% from my last post is that I am going to look at it only in close-game situations, which is explained more below.
FF%-FF% (Fenwick For %) is the percentage of unblocked shot attempts a team takes when that player is on the ice. Think of it like +/-, but for shots. Instead of 0 being even like with +/-, the 50% mark is even. It is a metric used to measure puck possession. If you’re skeptical as to how much this stat matters, here is a chart showing the top Fenwick teams of recent years.
ZS%-This is the percentage (ratio) of offensive zone to defensive zone face-offs for a player. A lower percentage indicates a player is assigned “tougher” minutes, as he is on the ice for more defensive zone face-offs.
QOC TOI%-The quality of competition a player faces, as measured by the average time on ice of the opposing players he faced
“Close” game situations are games within a goal or tied in the 1st or 2nd period, or tied in the 3rd. It is used so score effects don’t inflate or deflate a player’s numbers in blowout situations. All FF% and ZS% below are in close-game 5-on-5 situations only. QOC TOI% is from all situations at 5-on-5
The first chart looks at how Orpik fared compared to players with a similar close-game ZS%. The ranking is among all defenseman who played 62 or more games during the 2013-14 season.
Notes about the chart:
-Every player on this chart performed significantly better than Orpik in terms of puck possession. In fact, Orpik is the only defender on the chart to be a negative puck possession player. In other words, he’s the only defender from the chart that saw his team get out shot when he was on the ice in close-game situations.
-Only Goligoski faced competition as tough as Orpik. Goligoski also has the same ZS% as Orpik, but had a FF% 5.2% better than Orpik’s. To put that in perspective at a team level (admittedly, not a totally relevant comparison), a 5.2% difference in puck possession is the difference, in the 2013-14 season, between Chicago (55.2%) and the Coyotes (50.0%).
-Relative to their teams, the Stars performed 1.3% better in terms of FF% when Goligoski was on the ice. The Pens FF% was 3.8% worse with Orpik on the ice compared to when he was on the bench.
The second chart looks at how Orpik fared compared to players who faced a similar level of competition. The ranking is among all defenseman who played 62 or more games during the 2013-14 season.
Notes from the chart:
-The ZS% is fairly similar for 4 of the 5 players, Timonen being the exception.
-Once again, Orpik has the worst possession numbers of the 5 players. He does have some company on the wrong side of 50% this time, in the form of Ben Lovejoy. But even relative to Lovejoy, Orpik finds himself a worse possession player by 1.9%. To put that in perspective at a team level (admittedly, not a totally relevant comparison), 1.9% was the difference, in the 2013-14 season, in possession between the Stars (51.9%) and the Coyotes (50.0%).
It is certainly important to keep in mind that Orpik faced very stiff competition and ZS%, especially relative to the rest of the Penguins’ defenders. However, when compared to players given similar assignments around the league, Orpik’s possession numbers are still pretty weak. My next post will look at how Orpik stacks up compared to others Caps D from last season.
Thanks to ExtraSkater.com for most of the data used in this post.