So I’m procrastinating on my thesis again and wanted to see how attackers stacked up relative to the league – on a per team basis. I’ve measured success via Eff Change in this case, built using league averages. For example, a Big Ten player who attacks in zone 2 after a perfect dig in transition is expected to have an efficiency of 0.274. So if you kill the ball on this perfect dig, your Eff Change is 1.00 minus 0.274 or 0.726. Or if you’re attacking out of zone 4 after a perfect pass (R#) you’re expected to hit 0.335. So if you take that perfect pass and hit into a “good” dig (an output eff of 0.011), you’ve actually dropped your efficiency by 0.324.
All of these individual input to output situations are accounted for – as well as the zone you attack out of. From there I can create an aggregate average Eff Change for each attacker based on these expectations.
Not surprising, the top teams are mostly in the green – and Michigan State holds on tightly to their stereotype of being super terminal in both directions. For the most part, setters, ease up on the dumping…Kelly Hunter…..
Here’s again what this looks like for the Pac 12. Of course the league averages aren’t the same between the two leagues, so just be aware of that.
I’ll just leave these here and let you come to your own conclusions, but the gist of these visuals is: how well do your hitters handle the situations they’re dealt, relative to the league. As you can see, this is a much quicker way to see who is terminal when they’re supposed to be and who understands swing management when they need to play it safe.