Rethinking Volley

for RMD version: https://rpubs.com/chadgordon09/step9 1. Expected Value Added (eV+) is simply: Results minus Expectations. 2. Building on the logic from the last two posts (Step 7 - Expected Value in Attacking, Step 8 - Expected Value of Input Situations) we merely combine the two to determine the value of each touch. Output eV comes from [...]

for RMD version: https://rpubs.com/chadgordon09/step8 1. No reason to bury the lede - all attacking situations are not created equal. 2. A middle attacking on a Front 1 after a perfect pass is expected to score at a better rate than an outside hitter receiving a high ball over her shoulder from 30 feet away. I [...]

for RMD version: https://rpubs.com/chadgordon09/step7 1. Above are the possible outcomes that result from any given attack, using VolleyMetrics' coding. The Expected Value is given for each output along with the count of each in parentheses (you'll notice we're not working with a small sample size...) 2. Block touches; if you're wondering where they are - [...]

Brian Hurler is currently the Technical Coordinator for the women’s volleyball program at Stanford University. Brian was the TC at Creighton when he wrote this in 2020. (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 [...]

% 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 [...]

If you haven't noticed, big Moneyball guy over here. But that one line really cuts to the core of the issue. If he's a good hitter, why doesn't he hit good? 1. In our case, the problem is not that there are rich teams and there are poor teams...but that we are not evaluating the [...]