Guest Post: Brian Hurler (Creighton) – How Set Speeds Affect Hitting Efficiency

Brian Hurler is currently the Graduate Manager/Technical Coordinator for the women’s volleyball program at Creighton University. (https://gocreighton.com/staff-directory/brian-hurler/290) Outside Set Speeds Per Team Using match data from the 2019 fall season, I took a sample of set speeds for the seven teams who have made the Elite Eight the most since 2015, plus Creighton. The speeds [...]

step 6: if he’s a good hitter, why doesn’t he hit good?

% split of Terminal vs. Non-Terminal attacks 1. Welcome to attacking: the most important skill in our game. I'd also argue it's the most interesting, least understood, and most dynamic of our game - making it the best place to pick some low-hanging fruit. 2. We need to understand the reality of attacking. As you [...]

step 4: passer ratings

So. Where do we start? We know that passing is important, but does it predict the future? Man...I hope so. That would save me some steps. 0.5 Just for reference, I've created a passer rating in the data that's built as follows: Top to bottom: perfect, pretty good, medium, poor, no attack/overpass, error 1. Let's [...]

step 3.5: attack efficiency does explain the past

To be fair, predicting the past is easier. It's already happened. We're just looking for which metrics help explain something that has already happened. To it's credit, attack efficiency differences between two teams in a single set is wildly indicative of who won that set. So yes, we do care about attack efficiency, definitely don't [...]

step 1: what’s the point?

Predicting the future is difficult. People get the future wrong all the time. Coaches miss on recruits, GMs miss on draft picks, and bettors lose money. So are they just horrible at prediction? Or is prediction really difficult? You'd think with the resources of big franchises, clubs, etc - coupled with the embarrassing ramifications of [...]

Efficiency Change Refresher

So here's the concept: we want to evaluate each touch by the difference between expectations and results. Input Contact: this serves as the expectation - given the situation you've been dealt, how well do we expect you to do? Output Contact: this serves as the result - looking at both terminal & non-terminal results Serving, [...]

Harker – Serve/Rec/Atk Efficiency

Because I'm on a roll with the R Shiny web app stuff, I figured I'd make another. This one allows you to look at how each player is trending throughout the season in their serve, receive, or attacking stats. Harker - Serve/Rec/Atk Efficiency!! For serving, we look at the outcome of the serve (different reception [...]