ANALYZING VOLLEYBALL TO DETERMINEWHICH STATISTICS MATTER MOSTTO WINNING AND WHY

Todd Dagenais, University of Central Florida

Jeff Liu, University of Southern California

Giuseppe Vinci, VolleyMetrics

Corley Bagley, VolleyMetrics

Last Year: Skills Importance

Today: Key Metrics at Different Levels of Play

Survey: What statistics do you think are important?

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AGENDA

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OURAPPROACH

KEY METRICS& SET WINNING PERCENTAGEA BAD EXAMPLE

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OURAPPROACH

KEY METRICS& SET WINNING PERCENTAGEOKAY EXAMPLE

OURAPPROACH

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OURAPPROACH

KEY METRICS& SET WINNING PERCENTAGEGOOD EXAMPLE

TIPS FOR COACHESTO USE STATS AND BENCHMARKS

Importance vs Significance

Focus on stats that you can control

Focus on your individual team

Avoid bad applications

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OURAPPROACH

03Acronyms Used

Attack Efficiency Also known as Hitting Percentage, efficiency = (kills-errors-block stuffs)/total attack attempts

First Ball Efficiency

Same as efficiency but only included first ball attempts, kills, errors, and block stuffs

Error/Overpass % error receptions + Overpass receptions/total reception attempts

Create % % of all dig attempts that result in a successive attack

Convert % % of all dig attempts that result in a successive kill

Block Touch % Block touches/total opponent attack attempts

Attack Error % % of attacks that result in an error

Kill % % of attacks that result in a kill

3 Pt. Passing Index Traditional 3 point passing index

Stuffed % % of attacks that result in a stuff block by the opponent

All these statistics can be easily kept using pencil and paper by keeping count of total attempts for fundamentals and using different symbols for grades.

03 Girls Select (14s).500 Season Average Top 10% Top 5%

Attack Eff. .195 .140 .201 .241

First Ball Eff. .172 .119 .185 .229

Error/ Overpass % 18.9% 22.9% 14% 13.7%

Create % 57.4% 52.7% 61% 64.7

Block Touch % 24.4% 21.8% 27.9% 28%

Side Out% 54.2% 48.7% 54.95% 56.5%

Point Score% 54.6% 51.2% 55.3% 55.8%

First Ball SO% 11.9% 9.6% 14.9% 15%

03 Boys Youth (16s).500 Season Average Top 10% Top 5%

First Ball Eff. .25 .195 .26 .295

Efficiency .235 .189 .283 .287

Convert % 20.4% 18.5% 21.6% 22%

Block Touch % 33.5% 32.2% 36.8% 39.4%

Attack Error % 10.5% 11.5% 9.3% 8.8%

Side Out% 62.8% 58.5% 64.6% 65.6%

Point Score% 43.8% 42.5% 45.1% 45.5%

First Ball SO% 32.4% 28.9% 34.8% 36.1%

03 Girls Youth (16s).500 Season Average Top 10% Top 5%

Attack Eff. .235 .176 .249 .290

Kill % 36.8% 32.5% 38.9% 39.9%

3 Pt. Passing Index 1.862 1.786 1.942 1.95

Error/Overpass % 16.3% 18.1% 13.8% 13.1%

Convert % 9.4% 8% 10.6% 11%

Side Out% 57.4% 53.2% 59.6% 60.4%

Point Score% 49.2% 46.8% 49.7% 51.2%

First Ball SO% 13.8% 11.9% 16.3% 17.6%

03 NCAA DI-II Men.500 Season Average Top 10% Top 5%

Attack Eff. .295 .258 .311 .325

Kill % 45.2% 43.3% 47.1% 47.5%

Convert % 20.3% 19.2% 21.9% 22.2%

Stuffed % 7.3% 8% 6.4% 6.3%

Attack Error % 8.6% 9.7% 7.7% 7.2%

Side Out% 67.3% 64.5% 68.9% 69.4%

Point Score% 36.9% 35.5% 38% 38.7%

First Ball SO% 41% 38.9% 42.7% 43.4%

03 NCAA DI Women.500 Season Average Top 10% Top 5%

Attack Eff. .244 .211 .267 .278

Convert% 20.6% 18.9% 22% 22.5%

Kill % 38.4% 36.2% 40.4% 41.4%

3 Pt. Passing Index 2.161 2.113 2.255 2.283

Error/Overpass % 9.2% 10.3% 7.9% 7.5%

Side Out% 61.6% 58.3% 63.4% 64.5%

Point Score% 43.8% 41.7% 45% 46.3%

First Ball SO% 34% 31.5% 35.9% 36.9%

03 NCAA DI WomenBig Ten Big XII Pac-12 SEC

Attack Eff. .223 .209 .207 .202

Convert% 18.8% 19.2% 19.4% 17.8%

Kill % 37% 36.1% 35.7% 34.4%

3 Pt. Passing Index 2.158 2.063 2.083 2.224

Error/Overpass % 9.4% 10.4% 10.8% 9.2%

Side Out% 60.2% 58.6% 57.8% 57.6%

Point Score% 39.8% 41.4% 42.2% 42.4%

First Ball SO% 32.6% 30.8% 31.2% 30.4%

GATHER DATAFROM TOP CLUB TOURNAMENTSAND CONFIRM THESE FINDINGS

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NEXTSTEPS

THANK YOU