game analysis powerpoint presentation

7/21/2019 Game Analysis PowerPoint Presentation

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Game analysis A road map to winIradge Ahrabi-Fard University of Northern Iowa

Mark Jacobson University of Northern IowaJose Manuel Palao, Spain


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What are statistics? Stats are a numerical study of the players' and

teams' actions in order to make decisions based on their abilities

Volleyball Analysis

Theoretical Review


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Reference values (trainingand competition)

New perspective forgame analysis

Volleyball analysis (Proposal)

Serve (S) At tack (A) Block (B) Op. errors (E)

Team As Points = S + A + B + E


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Ex. Box score

Purpose of statistics => Objective idea of player and team actions in competition

Info to press and fans

Occurrence and efficacy of skills

Analysis of actions in relation to

their effect on the game and the

following action

Own team

Volleyball Analysis

Theoretical Review


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Winning Philosophical StrategyEarn point to get to30/25 sooner than the opponent

Stop or slow down the opponent point earning to reach30/25 before your team

Both game strategies are important. Unless a

team develops an effective capability to earn

point while stopping or slowing down the

opponent to get to 30/25 sooner, winning

cannot be predictable


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Serve (S) Attack (A) Block (B) Opponent errors (E)

Team's Points = Serve + Attack + Block + Opp. Errors

WAYS TO OBTAIN POINTS IN VOLLEYBALL

Volleyball Analysis

Theoretical Review


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Team As Points > Team Bs Points

Serve (S) Attack (A) Block (B) Op. errors (E)



Team Bs Points = S + A + B + E

Volleyball Analysis

Theoretical Review


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Analyzing the official score stat sheet (new method)

New method of stat gathering design




Team Bs Points = S + A + B + E

Volleyball Analysis

Theoretical Review


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Analyzing the official score stat sheet

(with a more details method)


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Ind. effort

Teams points = Serve + Attack + Block + Op. Errors

Serve (S) Attack (A) Block (B) Opp. errors (E)

Unforced error

(serve E & BHE)

Forced error

Attack E, Block E

Volleyball analysis (Theoretical review)

Team effortInd. & team

effort


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Opponents Error

Opponents unforced error:Opponent serve error

Opponents ball-handling error

Opponents forced error: Attack error

Block error


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Data Gathering Design

From Official Stat SheetTeam A

Earned Points Oppts Unforced E Oppts Forced ErrorAtt.K BA SA Oppt SE Oppt BHE Oppt Att. E Oppt. BE

Team B

Earned Points Oppts Unforced E Oppts Forced ErrorAtt.K BA SA Oppt SE Oppt BHE Oppt Att. E Oppt. BE

The above data gathering method keep data

for each game and total for the entire match result


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Result Analysis - Sample Selection University level 11 matches were analyzed

3 matches won 3-0 3 matches lost 0-3

20 games from five 5 game matches(5th games were excluded)

Total of 38 games 19 winning and 19 losing games

High school 10 matches Total of 33 games

(7 matches in 3 and 3 matches in 4)


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Volleyball Analysis

General Findings (Point Earning Priorities)

Attack kill

Opponents attack and block error (forced error)

Opponents serve and ball handling error (unforced error)

Serve or block ace (forced error)

Attack kill

Opponents

Forced Error

Opponents

Unforced Error

Serve and

Block Ace


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Findings Over 80 percent of points were from team attack and

opponents error Attack kill games won 56.5

Attack kill games lost 57.9

Opposition error team won 36.1

Opposition error team lost 31.6 Winning and losing did not have proportion difference of

attack kill

There was a significant difference in opponents error

Opponents forced error was much higher than their unforcederror


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Volleyball Analysis

Reference Values

Serve (S) Attack (A) Block (B) Opp. errors

Games lost 4.4% 56.5% 3.0% 36.1%

Games won 4.5% 57.9% 6.0% 31.6%

Attack (A) Opp. Attack errors Pts. relative attack

Games lost 56.5% 17.5 points (80.4%)

Games won 57.9% 7.1 points 24.1 points (82.7%)

Rest of points (Aces, blocks,and rest of opp. errors)

* No Significantdifference found in T

Test for two related

samples


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Statistical Analysis of Offense Difference

T test out put indication:

Game lost .6604Game won .5701

Difference 0f .09023 alpha level of 90%

Not enough to establish a 95% level of confidence

The result shows offensive attack could

not be the cause of loss


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Opponents Contribution

Opponents unforced error: Opponents SE+BHE=3.2 (WG)

Opponents SE+BHE=2.5 (LG)

Opponents forced error: Opponents AE+BE=7.7 (WG)

Opponents AE+BE=6.0 (LG)


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Statistical Analysis of Opponents

Forced Error Difference

T test out put indication:

Game lost .6998Game won .8046

Difference of -.10475 almost 10.5% higher in games

wonP value0.044


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1,0 1,3 0,50,5

2,75,5

12,7

0,60,52,0

7,1

17,1

0,0

2,0

4,0

6,0

8,0

10,0

12,0

14,0

16,018,0

AK SA Op_AE Op_SE Op_BHE Op_BE

Lost Won

COLLEGE LEVEL

Volleyball Analysis

Reference Values

*

Serve Ace Attack Kill Block A Opp. errors

Games lost 4.4% 56.5% 3.0% 36.1%

Games won 4.5% 57.9% 6.0% 31.6%

* Significant differences found in T Test for two related samples

Attack Kill Service ace Opp. Attack E Opp. Serve E BHE Opp. Block E

*


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Error (point opp team)Opp attack

opportunityLimited attack

Attack

opportunityPoint analyzed team

- 1 -.25 0 +.25 + 1



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More Intricate Analysis Required New value system for earning points

Attack Block

Serve

Understanding of Influencingopponents error

Block influence on oppositions attack

Serve influence on oppositions attack


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Teams points = S + A + B + E

Error attack No limited attack Limited attack No attack Kill

-1 -0.25 0 +0.25 +1


Data Gathering Offense

Dig

Attack

Block

Dig

Attack

Block

Dig

Attack

Block

X Dig

At tack

Block

Dig

Attack

BlockX


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Offense Sophistication

Dig

Serve/Pass Attack

In System

# of Blockers

Sophisticated

One or no Block

Sophistication Level

Serve/Pass Attack

Out of System

# of Blockers# of Blockers

# of Blockers

Dig AttackIn System

Dig AttackOut of System


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Serve (S)Attack (A) Block (B)

Op. errors (E)


ErrorIn system

No limited attack

Out of system

Limited attackNo attack Ace

-1 -0.25 0 +0.25 +1

Serve

Pass

Serve

Pass X

Serve

Pass

X

Serve

Pass

Serve


Serve Influence


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Serve General Analysis Data range:

SA = 1Serve result in no attack opportunity =+.25

Serve causes out of system attack opportunity =0

Serve provides the opponent with an in system attackopportunity =-.25

Serve error =-1


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Earning point Serve Strategy

Individual Capability

Serve ace from: Position serve

Tough serve


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Out of system or in system

block

- Blocker(s) L. M. & R

- Rotations

- Blocking the zone or area

of the net

- 1 B = one block

- OB = out of posit ion block

- LB = late block


Block Out of System In System

Attack

One block

X

Dig

Attack

Late block

Dig

Attack

Out of position block


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Block AceTeam Capability

Block ace Rotation

Area of the block

Type of block Out of system 1B, LB, OP

Solo BS

B (2 or 3 in system block)

Ratio of block over

Ratio of soft block


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Error No limited attack Limited attack No attack Point

-1 -0.25 0 +0.25 +1

Components of block over

evaluation


- Rotations


of the net


Block Over

Attack

Block

Dig

Attack

Block

Dig

Attack

Block

X

X

Dig

Attack

Block

Dig

Attack

Block


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Error No attackOut of system

limited attackIn stem full attack

-1 -0.25 0 +.25

Components of soft block

evaluation


- Rotations


of the net


In System Soft Block

Attack

Soft block

Dig

Attack

Soft block

X

Dig

Attack

Soft block

Dig

Attack

Soft block


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Studied variables were way to obtain & probability of obtaining points in relation to result

Volleyball analysis (Reference values)

11 matches of women's teams of

Division I NCAA were analyzed

(season 2007)

38 games were studied

10 matches of female varsity

teams in Iowa were analyzed

(season 2007)

35 games were studied

COLLEGE LEVELHIGH SCHOOL LEVEL

A descriptive, transversal, and correlation design was used.


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Serve Analysis

Teams that were in the study could improve

their winning chances by improving their

serve influence of opponents attack

E i i S S


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Earning point Serve Strategy

Individual Capability

The probability added values

prioritizes the servers accordingto their influence on the

opponents attack ability

Servers that provide more than

80 % of 0 or -.25 values should

be instructed to avoid serve error

from tough serve and resort toposition serving


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Serve General Analysis

Very rare to find 1+.25> -1+0+-.25 Calculate the number of serves of each server in each

game

Total value of each server 1+.25> -1+0+-.25

Prioritize your servers according to who influences

opponents attack most least


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Serve General Analysis Analyzing serve influencing the opponents

attack error independently from block

6 servers serve ratio (example):

#10 3 serves

#11 4 serve

#12 7 serve #11 3 serve

#11 8 serve

#11 5 serve

The number of serves indicate the strength ofrotation


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Serve General Analysis 6 servers serve ratio (example):

#10 3 serves

#11 4 serve

#12 7 serve

#11 3 serve

#11 8 serve

#11 5 serve

Coach can play with line up, finding best & weakest rotations

Manipulate line up to put best server with best front row(increasing point earning capability getting to 30/25 sooner)

Manipulate line up to put best server with weakest front row(increasing side out chance of that rotation)


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Team Block Capability

Evaluate the ratio of out of

system and in systemblocks against a certainopponent

Evaluate the blockers ratioof Block over and softblock and make instructionof block action during

high block and morepenetration during regularblock


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Attack Evaluation

Adding probable points gave several statistically

significant values UNI in the 11 matches had significantly higher

proportion of attack kills at home than in the road

UNI had less sophistication in their offense during thegames that they did not go beyond 20

Oppositions had more serve influence on their attack

during the losing games than tUNI had on the

opposition


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Attack Evaluation

Team under study did not have much success

during dig attack with sophistication. More

mobility of middle players could berecommended and designed


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HIGH SCHOOL LEVEL SUMMERY

Volleyball Analysis (Reference values)

- Problems with data stabilization (large differences between teams).

- Analysis of the probability of the actions does not help to predict the

result of the game.

- Percentage of attack points per team lower than at college level.

- Offense is the most important point earner.

- At lower level, more points are obtained from opponent error.

- Winning teams obtained more points by themselves than losing teams.


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Volleyball Analysis (Conclusions)

- At lower levels, opponent error is more important (in the sample

studied).

- The second largest amount of points is from opponent error.

- Offense is the most important point earner.

> 80%

- Block and serve influence the opponents forced error the second

highest game earning points (in the sample studied).

- More studies (and data) are needed to establish solid conclusions and

reference values.

- At higher levels, more information is obtained with the analysis of the

probability of the actions to predict detail performance outcome.

- Teams have to be evaluated on the basis of their own specification.

COLLEGE LEVEL SUMMERY


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More Studies - Larger Sample

I am looking for institutions who

are willing to join me in

continue this study in largersample with more accurate

measurement tools


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Game analysis - A road map to win

THANKS FOR YOUR ATTENTION!

ANY QUESTIONS?

game analysis powerpoint presentation

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