Statistical All-Americans (NCAA Men's 2024)

Quick preface: these rankings are built on numbers and nothing else - and players are more than numbers. I hope these "honors" can spark conversation, aid some VT diehards in their arguments, and just make folks curious about analytics in general. Please take these rankings with a grain of salt and the solace that numbers cannot capture the entire value a player brings to the court - and therefore these awards are inherently flawed. But I still think they're interesting, hence, I have posted them.

But without any further ado...

Player of the Year:

Hilir Henno - UC Irvine, Outside Hitter

Freshman of the Year:

Daniel Fabikovic - Loyola Chicago, Outside Hitter

1st Team

Cameron Thorne - Grand Canyon - Middle

Curtis Raines - Charleston - Libero

Dan Mangun - Loyola Chicago - Setter

Daniel Fabikovic - Loyola Chicago - Outside

Donovan Constable - CSUN - Setter

Ethan Watson - Pepperdine - Middle

Guilherme Voss - Hawai'i - Middle

Hilir Henno - UC Irvine - Outside

Ido David - UCLA - Opposite

Jacob Pasteur - Ohio State - Outside

Jacob Reilly - Concordia Irvine - Libero

Jarrett Anderson - Grand Canyon - Opposite

John Kerr - Penn State - Opposite

Lazar Bouchkov - Long Beach State - Middle

Merrick McHenry - UCLA - Middle

Ryan Merk - Penn State - Libero

Sotiris Siapanis - Long Beach State - Outside

Spyros Chakas - Hawai'i - Outside

Tread Rosenthal - Hawai'i - Setter

2nd Team

Andrew Rowan - UCLA - Setter

Camden Gianni - Grand Canyon - Outside

Cameron Milligan - Daemen - Outside

Cooper Robinson - UCLA - Outside

Ethan Champlin - UCLA - Outside

Ethan Smith - Harvard - Middle

Grant Sloane - UCLA - Opposite

Jackson Fife - BYU - Libero

Jaden Glenn - UC Santa Barbara - Libero

Michael Wright - Ohio State - Setter

Nathan Zini - Saint Francis - Opposite

Ondrej Arabasz - Daemen - Middle

Parker Van Buren - Loyola Chicago - Opposite

Patrick Rogers - Ball State - Outside

Sean Califf - Daemen - Setter

Sean McQuiggan - UCLA - Middle

Simon Torwie - Long Beach State - Middle

Tristan Whitfield - Princeton - Middle

Yadiel Diaz - McKendree - Libero

Honorable Mention

Alaka'i Todd -  Hawai'i - Opposite    

Alejandro Leon - Belmont Abbey - Libero    

Alex Mrkalj - Pepperdine - Outside    

Brett Sheward - UC Irvine - Setter    

Clarke Godbold - Long Beach State -  Outside    

Connor Campbell - UC Irvine - Middle    

'Eleu Choy - Hawai'i - Libero    

Geste Bianchi - UC Santa Barbara -  Opposite    

Ian Schuller - Lindenwood - Opposite    

JJ Sowa - Loyola Chicago - Libero    

Keoni Thiim - Hawai'i - Outside    

Kevin Schuele - McKendree - Outside    

Kurt Nusterer - Hawai'i - Middle    

Kyle Hobus - CSUN - Outside    

Mason Briggs - Long Beach State - Libero    

Matt Gentry - Lincoln Memorial - Middle    

Matthew Staskunas - Belmont Abbey -  Opposite    

Michael Valenzi - Penn State - Outside    

Nathan Harlan - Long Beach State -  Outside    

Nic Slight - Grand Canyon - Setter    

Nicodemus Meyer - Loyola Chicago - Middle    

Omar Hoyos - George Mason - Outside    

Paul Stommel - Charleston - Setter    

Rico Wardlow - Grand Canyon - Middle    

Ryan Parker - Saint Francis - Setter    

Sam Lane - Saint Francis - Middle    

Shawn Baggs - Lewis - Middle    

Skyler Varga - Long Beach State -  Opposite    

Tate Colebaugh - Lincoln Memorial -  Libero    

Teon Taylor - BYU - Middle    

Tinaishe Ndavazocheva - Ball State -  Outside    

Tobey Ezeonu - Penn State - Middle    

Tommy Poole - Ohio State - Libero    

Tyler Poulsen - McKendree - Setter    

Wes Smith - USC - Middle    

Will Rottman - Stanford - Outside    

Yotam Briger - Concordia Irvine - Setter    

Zach Schneider - Daemen - Opposite

If you've made it this far, I appreciate you.

The methodology for this list is relatively straightforward:

  1. Look at how often each position group performs each fundamental skill to find the weight (e.g. Outsides on average spend 25% of their touches on Reception)
  2. Look at how well each player performs in each skill to find the value-add (e.g. Siapanis, +0.059 on Reception)
  3. Multiple (Weight x Value-Add) for each skill and then add them all together (e.g. 0.25*0.059 + serve_weight*serve_valueadd + ... = Weighted Impact)
  4. The result is the Weighted Impact per Touch

Position weights are as follows.

  • Outsides; 19% Serve - 25% Receive, 36% Attack, 12% Block, 10% Dig
  • Middles; 22% Serve - 32% Attack - 44% Block
  • Opposites; 25% Serve - 43% Attack - 20% Block - 12% Dig
  • Setters; 12% Serve - 67% Set - 3% Attack - 10% Block - 8% Dig
  • Liberos; 50% Receive - 13% Set - 37% Dig

For example, Hilir Henno of UC Irvine:

  • 0.053*0.19 + 0.015*0.25 + 0.174*0.36 + 0.020*0.12 + 0.007*0.10 = 0.080 Weighted Impact per Touch

The goal is that this highlights players who play the position at the highest level. If you only focused on cumulative value added (rather than this weighted version), you can end up featuring average players on weak teams who carry a larger load, but aren't necessarily a top performer at their position.

If you're curious about the MVP Value, this is the Total Value from all touches they accumulated, divided by the number of sets they played in. This gives more weight to total contribution on a given team, like Henno with Irvine, Rottman with Stanford, Chakas with Hawai'i, or Fabikovic with Loyola - guys who carry a larger load often rise to the top in this metric. This data point is how I selected Player of the Year and Freshman of the Year.

You are more than welcome to disagree with my methodology and thus inherently with my lists in general. But again, these are only to help spark discussion and hopefully propel the volleyball analytics conversation in a positive direction.