Home Artists Posts Import Register

Content

Here's the link! (Please do not share with non-subscribers if you want me to keep making these)

Next up in my Tableau viz series are player on-ice stats. There are seven different visualizations included in here. These can be filtered and highlighted with a number of variables:

  • Time on Ice
  • Position
  • Player
  • Team
  • Division (for extra fun)

These are raw on-ice stats - not RAPM isolates like on the player cards. Those will come in time, when the sample size is large enough that they're meaningful. But on-ice stats also tell us a lot about how players and teams are doing.

1. xGF vs xGA (header picture)

This is pretty straightforward - it plots a player's xGF per 60 against their xGA per 60. Players in the lower left quadrant are getting caved in (or "down bad"), players in the upper right quadrant are doing well in terms of possession, and players in the other two quadrants are low-event (not a lot going on at either end) or high-event (everything is happening).

2. xGF% vs GF%

This one compares a player's Expected Goals For percentage to their Goals For percentage to give you an idea of how their scoring chance numbers are translating to real goal results. For example, a player in the upper left has been quite unlucky so far while a guy in the bottom half is getting caved in but fortunate. 

3. xGF% vs FF%

This one essentially plots quality (xGF%) vs quantity (Fenwick For %). Fenwick means unblocked shot attempts. A player in the upper left is getting outshot but is on the ice for more quality chances, while a player closer to the bottom right is the inverse.

4. GF vs xGF

This one compares a player's on-ice Goals For rates to their Expected Goals For rate. So Tom Wilson up there is having a grand old (not very sustainable) time, while Evan Rodrigues over in the bottom right corner can't catch a break.

5. GA vs xGA

The same idea as the one above, but with defence instead of offence. In the example above I've filtered by the North Division (one of my favourite features of these) so you can see a pile of unfortunate Oilers, Jets, Canucks, and Leafs down at the left. Guys like Hughes, Myers, and Hamonic at the top left should probably buy Holtby a steak. 

6. xGA vs FA

On this one you're seeing quality allowed versus quantity allowed. The Senators' top pairing here has allowed neither so far, while the rest of their defence has also managed to keep chances mostly to the perimeter.

7. xGF vs FF

Same idea, but for offence.

I hope you guys enjoy those Tableau visualizations, they're very intuitive to make and if there's anything you'd like to see on one of these in the future please let me know. 

Cheers,

Jack

Comments

Zachary Johnson

I think it would be helpful if all the graphs followed the same general format: "good" in the top right, "bad" in the bottom left, "fun/chaos" in the bottom right, "dull" in the top left. That way there's less confusion from graph to graph, and even across different stats websites.

JFreshHockey

I see your point on the chaos in the bottom right part. I hadn't realized that's what other sites had. Thanks for the input!