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Volleyball Statistics


Volleyball statistics of USA Olympic Teams, AVP Players, college teams, club teams, and individual skills
Perfect 10 Stat Spreadsheets

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Perfect 10 Stat Spreadsheets

Posted on 19 January 2014 by Chuck Rey

Humbly, I’ve been overwhelmed with positive responses to Perfect 10 Stats. A few coaches have already implemented the idea into a practice setting and I’d love to learn how the session went using Perfect 10 Stats. It will be interesting to learn through a large sample size the median number for each skill to succeed. We are already familiar with the 3 Point Passing scale and the typical goal of at least a 2.0 for passers (depending on the level). I would like to know the goal for Digging (Don’t forget, the passing scale can be used for digging!), Setting, and Hitting. Then most importantly the cumulative Team goal (maybe a 6.2 per rotation to win a match?). Continue Reading

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Perfect 10 Statistics

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Perfect 10 Statistics

Posted on 14 January 2014 by Chuck Rey

Perfect 10 Statistics Perfect 10 Statistics volleyballStatistics in volleyball have come a long way, especially with the advancement of technology and the myriad of statistical softwares. After attending the AVCA Convention in Seattle and sitting-in on a few educational sessions, I’ve come to the realization that the statistical pendulum has swung too far. Coaches and players have become inundated with statistics to the point where it is overwhelming, time consuming and a resource hog. We are over-analyzing every movement to the point of paralysis. “Paralysis by analysis”.

Complex statistics has it’s place, for some coaches, but I believe statistics today are ultimately separating coaches and players. There are a few players that can grasp statistics, but a vast majority do not understand the true benefits. In addition, most players do not know how to correlate statistics and effectively apply them to improve a specific movement or skill (for that matter, many coaches do not know how to explain statistics in simplistic terms to better a player). Coaches are speaking Chinese to the Twitter-Americans. Continue Reading

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Proactive & Reactive Volleyball Statistics

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Proactive & Reactive Volleyball Statistics

Posted on 07 January 2013 by Chuck Rey

“Great statistics are the best substitute for judgment.” This is a sticker Al Scates has affixed to the side of his briefcase.

Coach Rey volleyball stats Proactive & Reactive Volleyball Statistics volleyball

Former Davidson College Head Volleyball Coach, Tim Cowie, is now a distinguished sports photographer. He was our catwalk at the Winthrop Coliseum and snapped this photo of my clipboard. He must have been curious the statistics I was keeping during the match. You can find that exact offensive statistic chart in the presentation/PDF below.

Last season, while out recruiting, I was standing court-side with Shelton Collier and we talked a bit about statistics. He brought to my attention the purpose of bench statistics to help win the next point or next set, versus statistics kept as a summary of what happened in a match. Quite a valid point! I’ve since altered my use of statistics during a match to help my team win, but I must admit, I do take some statistics during a match that provide an overview of a set. Continue Reading

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iVolleyStats vs SoloStats 123 for iPad

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iVolleyStats vs SoloStats 123 for iPad

Posted on 18 March 2012 by Chuck Rey

iVolleyStats SoloStats123 300x169 iVolleyStats vs SoloStats 123 for iPad volleyballPart of the purpose of this website is to provide unbiased information on volleyball. I’ve had an opportunity to use a number of different statistical programs and each has its pros and cons. There is no perfect statistical system out there, but I don’t think there will ever be a perfect statistical software because each coach has different wants and needs. Just as different players fit a coach’s style better, so does a statistical system. Continue Reading

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Volleyball Statistics Beyond ‘Moneyball’

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Volleyball Statistics Beyond ‘Moneyball’

Posted on 13 September 2011 by Chuck Rey

Editor’s note: This article appears in the September/October 2011 issue of Analytics Magazine.

By: Benjamin Alamar and Vijay Mehrotra

Over the past few years, the world of sports has experienced an explosion in the use of analytics.  In this three-part series, we reflect on the current state of sports analytics and consider what the future of sports analytics may look like. Continue Reading

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The Competitive Cauldron: The Goal is Improvement by Tom Black

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The Competitive Cauldron: The Goal is Improvement by Tom Black

Posted on 19 July 2011 by Chuck Rey

tom black lmu The Competitive Cauldron: The Goal is Improvement by Tom Black volleyballTom Black – Women’s Head Coach, UCSD Tritons (now Head Coach, Loyola Marymount University)

Explaining the Cauldron

There is no improvement without intensity. This is what draws us to the cauldron. If we want our players to improve, they have to play hard. If we want them to play hard, we have to get them to compete. If we want to create a competitive culture, then we need to measure things, record them, praise successes, and hold ourselves accountable for results. The cauldron, as created by University of North Carolina’s soccer coach, Anson Dorrance, gives us a foundation. Continue Reading

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The State Championship Standard – How Statistics Can Get You There

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The State Championship Standard – How Statistics Can Get You There

Posted on 26 April 2011 by Chuck Rey

oakland university rob beam 228x300 The State Championship Standard   How Statistics Can Get You There volleyballFor a Trevian to post an article written by a Titan, the material must be good stuff.  This probably means nothing to most of you unless you grew up on the North Shore of Chicago.  I attended New Trier High School, home of the Trevians.  Rob Beam, Head Coach at Oakland University in Rochester, MI went to Glenbrook South High School, home of the Titans.  Rob is one of the up and coming young coaches in NCAA and wrote a great piece: The State Championship Standard:  How Statistics Can Get You There. Considering I have a brother that also attended GBS, I’ll give Rob the props he’s due icon wink The State Championship Standard   How Statistics Can Get You There volleyball  The following is good stuff.  You can learn more about Rob and his Oakland University Golden Grizzlies here: http://www.ougrizzlies.com/sports/w-volley/oakl-w-volley-body.html Continue Reading

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IPE and iVolleyStats

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IPE and iVolleyStats

Posted on 26 March 2011 by Chuck Rey

Who’d a thunk it? Who’d a thunk that a brainstorming session with Mike Hebert at Minnesota would turn into a new statistic for volleyball? Really, it’s an old statistic with a positive spin, but it makes sense to players. It’s hard to teach the negative and easy to teach the positive. Thus came ‘In Play Efficiency’ or I.P.E. You can learn more about it on an old blog post: What is IPE? Continue Reading

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StatEasy Volleyball Software

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StatEasy Volleyball Software

Posted on 18 October 2010 by Chuck Rey

stat easy volleyball StatEasy Volleyball Software volleyballConsumers often choose products to purchase based on an affinity and trust with a vendor or the developer of a product. StatEasy is a great volleyball software program that has been developed by a passionate volleyball enthusiast, Mike Ressler. This software is going to be the next and best volleyball software on the market…oh yeah, and its FREE (take advantage of it now)! Continue Reading

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Rotate 123 – Volleyball Rotation Software

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Rotate 123 – Volleyball Rotation Software

Posted on 04 August 2010 by Chuck Rey

volleyball rotate 123 Rotate 123 – Volleyball Rotation Software volleyballRotate 123 is a great volleyball rotation coaching tool that allows you to input numerous line-ups in a variety of offenses (5 – 1, 6 – 2).  Instead of writing down all 6 rotations by hand, crossing-out, and manipulating serve receive patterns, just enter your roster into the system and Continue Reading

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Why Penn State Beat Texas in the National Championship – A Statistical Analysis

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Why Penn State Beat Texas in the National Championship – A Statistical Analysis

Posted on 14 April 2010 by Chuck Rey

psu volleyball arielle wilson national championship Why Penn State Beat Texas in the National Championship   A Statistical Analysis volleyballAfter watching the incredible National Championship Match again last night (some incredible offense and defense!!!), I believe the box score tells us why Penn State beat Texas and won an unprecedented third National Championship – in a row!  As with most sports, it comes down to errors.  Texas, especially Destinee Hooker, showcased spectacular kills, but Texas committed the most errors.  Penn State kept the ball in play more (Team IPE).  As is said in the volleyball world, “Teams that win the serving and passing battle, win the match”.  Thus is true in the National Championship.

Following are statistics from the box score: Continue Reading

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Volleyball Statistical Software

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Volleyball Statistical Software

Posted on 19 February 2010 by Chuck Rey

I had a funny experience at the Monument City Classic Tournament. My Carolina Juniors 16s Team played the early match on Sunday morning. Our team arrived first at the court, chose the bench, and I sat down to sip my tea. On the adjacent court, a father turned around and stared at me awkwardly.  He exclaimed, “You’re Coach Rey!”. I said, “Last I checked.” I was taken aback. He went on, “I couldn’t sleep last night. Our team was playing well yesterday, but we just couldn’t buy a win. I thought, maybe some statistical information would help. So, I started looking up volleyball statistical software online in the middle of the night and came across your blog. And POOF, now you’re here!”. He said it was a bit surreal icon smile Volleyball Statistical Software volleyball Continue Reading

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College Volleyball Statistics – Final Four, Top 10, and Top 25

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College Volleyball Statistics – Final Four, Top 10, and Top 25

Posted on 01 May 2009 by Chuck Rey

The Top 25 teams were taken from the 2008 AVCA Final Coaches Poll. The data shows the averages of each group (Final Four, Top 10, and Top 25).

Matches Sets Kills Kill % Errors IPE Total Att. Hitting % Kills/Set
Final Four 35 118 1725 0.452 480 0.875 3846 0.327 14.68
Top 10 34 117 1688 0.430 532 0.865 3950 0.295 14.43
Top 25 33 117 1636 0.406 573 0.858 4046 0.264 13.96
Assists Assists/Set Aces Aces/Set Digs Digs/Set Blocks Assists Blocks/Set
Final Four 1593.25 13.56 139 1.19 1644 13.98 86 484 2.79
Top 10 1564.2 13.37 148 1.27 1666 14.22 65 475 2.58
Top 25 1516.84 12.94 145 1.24 1694 14.41 65 461 2.51

The data shows statistical improvements in every category from the Top 25 to the Final Four Teams. Continue Reading

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Comparing Penn State and Low Country Volleyball Club

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Comparing Penn State and Low Country Volleyball Club

Posted on 07 April 2009 by Chuck Rey

In my previous blog, I mentioned Low Country Volleyball Club’s 18s Team winning the 18 Open Division of the USAV Palmetto Region to qualify the team for Nationals in Miami. I received the stats from the team’s championship weekend (we have a parent keep stats), and just for fun icon wink Comparing Penn State and Low Country Volleyball Club volleyball compared them with the offensive stats of the 2008 Final Four Teams: Penn State, Stanford, Nebraska, and Texas. I was testing a coaching theory of IPE (read my What is IPE blog if you are unfamiliar with this concept). Here are my findings: Continue Reading

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What is IPE?

Posted on 26 February 2009 by Chuck Rey

I.P.E. is an acronym for In Play Efficiency. It is simply the opposite of hitting error percentage (IPE = 1 – error %). It’s putting a positive spin on hitting errors. Many coaches tell players, “Don’t make hitting errors”; this focuses on the negative. Instead, IPE focuses on the positive and encourages players to keep the ball in play. For example, Penn State’s Hitting Error % for 2008 was .126. This roughly equates to 1.3 hitting errors for every 10 attempts. The positive spin on Penn State’s error % or what we consider “IPE” is .874 (1 – 0.126). This means for every 10 attempts, 8.7 swings were in the court. IPE is a positive hitting goal for any team. A player can easily recognize an IPE goal of .900 or simply to keep 9 out of 10 attempts in play. An
attainable outcome goal a player can work towards. Continue Reading

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Coach Chuck Rey is Assistant Coach at Miami University


Prior to this position, he was Assistant Coach at Winthrop University, the University of Minnesota and Georgia Southern University.

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