TRACKING THROUGH ULTRA WIDE BAND TECH - … Reche... · TRACKING THROUGH ULTRA WIDE BAND TECH Xavi...

TRACKING THROUGH ULTRA WIDE BAND TECH

Xavi Reche Royo, MscArea of sport performance FCB

(Tracking monitoring)

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TRACKING HISTORY IN FCB

TEAMWORK

OUTDOOR vs INDOOR

VALIDITY & RELIABILITY

FCB VIEW

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TRACKING MONITORING HISTORY IN FCB

Beginnings

• 1st Soccer team justwith few devices

Soccer teams

• Added until U17

Indoortracking

• All 1st teams begins totrack their players

Uniquesystem

• Indoor teamwork

Actually: Tracking monitoring TEAMWORK

All the club with the same company, but not the same location system

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TEAMWORK

Outdoor sports

1st Soccer team (M)

1st Soccer team (F)

2nd Soccer team (M)

U18 Soccer team (M)

U17 Soccer team (M)

U16 Soccer team (M)

Youth Soccer academy (M)

Indoor sports

1st Basketball team (M)

1st Handball team (M)

1st Futsal team (M)

1st Roller hockey team (M)

2nd Basketball team (M)

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TEAMWORK

6

45 mm

81

mm

70 gr

WIMU PRO DOCK STATION

TEAMWORK

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TEAWORK

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OUTDOOR VS INDOOR

- 1944: Isidor Isaac Rabi Nobel laureate in physics.

Invented the magnetic resonance, lead to the creation of the

Atomic clock, the precise time pieces that form the basis of

satellite navigation

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OUTDOOR VS INDOOR

- The precise measurement of atomic clock -> calculation of

the length of time it takes a radio signal to travel from

satellite GPS receiver on earth

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OUTDOOR VS INDOOR

What’s the difference?

LPS vs GPS/GNSSLocal Positioning System Global Positioning System

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OUTDOOR VS INDOOR

LPS vs GPS/GNSS

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There ISN’T ONLY Positioning…

DATA POSITIONING

DERIVED

- Position (x,y)

- Distance

- Velocity

- Acceleration

DATA INERTIAL SENSORS

DERIVED

- Accelerations

- Angular movement & speed

- Elevation

- ANT+ devices connected

- …

Don’t need positioning!!!

OUTDOOR vs INDOOR

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Not valid

Not reliable

Low validity

Low reliabilityNot validity

Reliable

Valid

Reliable

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(Scott, Scott & Kelly, 2016)

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(Akenhead, et al., 2013)

“The validity and inter-unit reliability of 10 Hz GPS for the

measurement of instantaneous velocity has been shown to

be inversely related to acceleration”

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(Coutts & Duffield, 2008)

“Poor level of intra-model reliability for very high intensity

running”

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(Akenhead, et al., 2013)

“To eliminate inter-unit variation, GPS devices should not be

used interchangeably”

Player A Player B

X

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- 1 to 5 Hz GPS have limitations during short distance.

- 10 Hz GPS seems to be the better frequency with no

difference with 15 Hz.

- But, few studies with 15 Hz that can explain that

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(Muñoz-López et al., 2017)

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The world of filtering method

(Vareley, et al., 2017)

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The world of filtering method

(Unpublished data)

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Ultra Wide Band acuracy

(Unpublished data)

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(Unpublished data)

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(Unpublished data)

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(Unpublished data)

“This index indicates the variation, expressed in centimeters, between the

measurement of the device and real measurement.

The precision index is: -1,441±2,609cm. ”

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FCB VIEW

RE

AL

LO

AD

For decades, the monitoring of movements developed by

athletes during training or competition have interested sport

scientists.

(Carling et al. 2008; Castellano & Casamichana 2014; Lieberman et al. 2002)

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External load & Internal load

“Set of biological and

psychological demands”

“Caused by the activity

and competition”

(Badillo, 1995)

What the player does What the player feelR

EA

L

LO

AD

FCB VIEW

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(Montgomery, Pyne & Minahan, 2010)

FCB VIEW

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(Scanlan, et al., 2014)

“not assume a linear dose-response between the external training load (detected by

accelerometry) and the player’s internal training load during basketball-specific activities”

FCB VIEW

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(Malone, et al., 2017)

FCB VIEW

XX

X

X

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(Unpublished data)

0,67 0,93 1,07 1,17

4,4

5,0

1,8

2,2

0,0

1,0

2,0

3,0

4,0

5,0

6,0

0,00

0,20

0,40

0,60

0,80

1,00

1,20

1,40

5c5 1/2p 5c5 Scrimmage 1c0 1p 1c0 zig-zag

Relation between 5c5 & 1c1

Player Load/min High Int Actions/min

FCB VIEW

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Volume

Player load

Total distance

Intensity

Distance at highvelocity

High accelerations & decelerations

High jumpings, landings &

impacts

Number of highintensity actions

Calculatedload

HML Distance

High speedrunning

Dynamic stress load

Power metabolicaverage

Density

Ratio Work:Resttime

All variables realted to minute

Interesting

Ratio High:Lowaccelerations

Ratio Distance at High:Low velocity

MAIN TRACKING VARIABLES (for us)

FCB VIEW

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Examples: Acute:Chronic workload

FCB VIEW

(adapted from Gabbett et al., 2016)

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Examples: Z-Score & Smallest Worthwhile Change

-3

-2

-1

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1

2

3

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01

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High Intensity Actions Z-Score & SWC

FCB VIEW

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FCB VIEWAcceleration & Speed

(Sonderegger et al., 2016)

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0,0

100,0

200,0

300,0

400,0

500,0

600,0

700,0

800,0

0-1 km/h 1-6 km/h 6-12 km/h 12-18 km/h 18-21 km/h 21-24 km/h 24-30 km/h

Number of Accelerations / Velocity zone

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2

0%

20%

40%

60%

80%

100%


% of Accelerations / Velocity zone

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2


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0,0

200,0

400,0

600,0

800,0

1000,0


Number of Decelerations / Velocity zones

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2

0%

20%

40%

60%

80%

100%


% Decelerations / Velocity zone

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2


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0%

20%

40%

60%

80%

100%


% Decelerations / Velocity zone

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2

0%

20%

40%

60%

80%

100%


% of Accelerations / Velocity zone

+6 m/s^2

5-6 m/s^2

4-5 m/s^2

3-4 m/s^2

2-3 m/s^2

1-2 m/s^2

0-1 m/s^2


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FCB VIEW

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FCB VIEW

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FCB VIEW

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TAKE HOME MESSAGE

FC Barcelona is eager to increase their knowledge in tracking

systems

Be critic with the data you record, be sure that is correct data

Tracking doesn’t explain all what happens in the field

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