Match Analysis an Undervalued Coaching Help

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Prof.Dr.Attilio Sacripanti M VI Dan

FIJLKAM1

Match Analysis an

Undervalued Coaching helpAn Italian judo Federation contribution

31/07/2009

Honorary Member

World Judo Scientific Congress

Rotterdam 2009


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Synopsis

1. Match Analysis

2. Judo Match Analysis

3. Locomotion complex

4. Judo locomotions paths in contest as strategicsource

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1. Match Analysis


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In modern time match analysis is a powerfulcoaching help. Today the leading match analysissystems are utilized in team sport games.

On the basis of the technological development,Match Analysis could be a valuable source of fourlevels of coaching information for competition:

1. Athletes Physiological data2. Athletes Technical data

3. Athletes Strategic data

4. Adversarys Scouting

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In the Area of Physiological data, the quantitativeMatch analysis, well performed, could help intwo main ways:

1. Gross evaluation of the more precise energycost as input for conditioning

2. Accident prevention

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In the area of the Technical data, essentially qualitative

Match Analysis could be a very useful source ofinformation for the athletes biomechanicalenhancement, in six main ways:

a) Biomechanical evaluation of grips methods and fight.

b) Biomechanical improvement of throws techniques.

c) Biomechanical improvement of Standing-laying

connection

d) Biomechanical improvement of Ne waza techniques.

e) Biomechanical improvement of defensive systems.

f) Weak points analysis.

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In the area of Strategic data, qualitative-quantitativeMatch Analysis could be a very importantcoaching assist, in the study and the refinementof strategic plans adopted; by two ways:

a) Local Strategies.

b) Global Strategies.

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The same qualitative data base of athletes couldbe studied from a different point of view, togather information about most dangerousadversaries for each fighter, by the mainutilization today:

a) Adversarys Scouting

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2 Judo Match Analysis

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Judo as Situation Sport is a sports in which it is

not possible to find a repeatable motion patternin each game.

For each game, the motion is a random process.

These sports, in which athletes can contacttogether, are: contest sport or team sport, like:Judo, Boxing, Wrestling, Karate, Soccer, Basketball,

Football, Water Polo, Hockey, etc.

The correct biomechanical way to analyze suchmacro phenomena is to study them. in twosteps:

1. Interaction between players

2. Couple of athletes Motion

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Interaction Study

All Judo Throwing are based on two

physical principles

1) Couple of Forces application(Sacripantis Biomechanical model

1987)

2) Physical Lever application(Sacripantis Biomechanical model

1987)

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Throwing analysis is a complex task,

but

Study of displacement is a really difficult

one


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Motion Analysis

Judo shifting in contest

The motion is a particular kind of locomotion, thefirst and only study, till now, came from Japan

about All Japan judo Contest 1971

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http://stamfordjudo.us/yahoo_site_admin/assets/images/Larry_Randori.236104806_std.jpg


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)()( = j jttut

')()1( FFttuvmaF ajj j +=+==

Couple of athletes motion in contest can be explained by a Langevin type

equation. It is the Second Sacripantis model (1989-90).

It is possible to write, for the global motion

Single Push pull contribution to motion

General equation

Friction Global push pull

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Motion Analysis


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Motion Analysis

Judo displacement in contest

Summation of (1, 2, 7, 12) random trajectoriesshowing the correctness of the Brownian motion

hypothesis: Random forces mean on time is zero

0' =F

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Into the First Study the path was connected to the gripsposition, by the Japanese researchers and was stated that:

it was found that in contest between judoists with the same form of

clinching, they revealed the tendency to circle the arena widely.In a contest between judoists with different form of clinching,

they showed the tendency to move directly toward the outside of

the arena

They obtained also the mean distance covered by judokas(121,1 m) and the mean shift velocity (0.30 m/s) during thecontests .

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Japanese Motion Study


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3 Locomotion complex

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Locomotion Important Point

-0.1

0.0

0.1

0.2

0.3

-0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0

Distance (m)

step 1

step 2

lead

trail

both

line of gravity

Notice that as the combined centre of pressure moves backwards

and towards the lead-leg; the line of gravity proceeds forwards and

towards the trail-leg. The line of gravity is outside the base of

support shortly after the lead-leg lifts.

Judo locomotion is a very complex phenomenon. We must analyze

COM,COP and LOG interconnected motion to have the judo

trajectory connected to judoka body motion


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Interconnection of COM ,COP and COMP (LOG) in

quiet stance.

Mean and one standard deviation for center-of-pressure

paths during barefoot normal walking.


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Multifractals in locomotion

Previous studies shown that Fractional Langevin equationdescribes variability in the stride interval during walking

(Scafetta and others 2002- 2004)

')'()'()()(

0

0 dttttKXtXtX

t

==

Scaling

)()(

)()(

)()(

tXtX

tt

tKtK

H

H

=

=

=

+

q-moments, when is a Lvy random variable

0;)1()(

)( )(

>=

qbqHqq

tv qq

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4 Judo locomotions paths incontest as strategic source

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Virtual paths Pasculli Numerical Model

The motion patterns of the couple of athletes system are auseful practical tool with hidden information inside.

The shifting patterns study could be source of very usefulstrategic data, but the price for extract the hiddeninformation is a non trivial mathematical analysis of thesespecial time series.

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Advanced Motion Study


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Normally we are in presence of different paths

like diffusion processes, identified by the Hurstparameter.

In particular this parameter, time independent,

describes the fractional Brownian motion withanti-correlated samples for 0


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Pure Brownian motion: next step is uncorrelated with previousstep H=0.5

Anti-Persistent Fractional Brownian motion: each step is

negatively correlated with previous stepH 0.5

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An important feature of fBm modelling is the presence oflong-term correlations between past and future pathsincrements.

This means that the system is not a Markov system andthen more similar to real situation.

In this waya fighting path can show, if correctly analyzed,when the fighter have a specific fighting strategy or not(random motion) during competition.

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Resuming, if the CM Projection at a certain time isdisplaced towards a given direction, the larger

probability is that it drifts away in this direction(persistent or attacking behaviour) or in thecontrary it retraces its steps in the opposite

direction (antipersistent or defensive behaviour). Equality between these two probabilities

indicates that there is not presence of a definedstrategy in fighting.

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This information obtained by a pure mathematical lectureof trajectories; can be enhanced adding to the previousadvanced mathematical lecture other Biomechanicalfighting information like:

Grips form, Competition Invariants, Action Invariants,useful Attack polygonal surface, Direction of displacement,Time and position of gripping action, Throws loci, Lengthor Amount of displacement, Medium Speed, Surface Area

Utilization and so on. It is possible, with these added parameters, to obtain a lot

of useful strategic information.

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Thank s fo r your k ind a t t ent ion

Evolution of a couple of force throwing into a physical lever ones

Pictures Courtesy By Mr. David Finch

31/07/2009Prof.Dr.Attilio Sacripanti M VI Dan

30Honorary Member


Rotterdam 2009

Documents

Match Analysis an Undervalued Coaching Help