Tennis Players’ Performance Analysis

Using a WristbandAles Filipcic1, Tomaz Berendijas2, Sergej Prosen2 , Iztok Kramberger3, Jernej Ženko3

1 University of Ljubljana, Faculty of Sport, Ljubljana, Slovenia2 Biometrika d.o.o., Maribor, Slovenia

3 University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia

Tennis is 90 % Mental! (Jimmy

Connors)

• Player’s performance: PRACTISE ≥ or ≤ MATCH,

• Player controls pressure and stress,

• Player‘s Ideal Performance State - IPS (Weinberg, 1988); Ideal Zone of Functioning - IZOF (Hanin, 2003); In the Zone; Flow.

Underperformance in tennis• Many players very often underperform

in a match,• Reasons are mental (choking), • Player‘s anxiety level is not in optimal

zone (low/high arousal = underperformance),• IPS helps identify player‘s mental state

creating a balance between arousal and anxiety.

IPS

– Arousal + –

P

erfo

rman

ce

+

ITF, 2002

Successful coaches analyse players‘ performance• Chart matches (Apps),• Write notes,• Record matches (Video analysis),• Use modern technology (Polar, Playsight, Zenniz, Hawk-Eye...)• Discuss with player‘s their performance, …• Using conclusions for future planning and set up training

goals.

Help players to perform better1. To analyse player‘s performance in a

match,

2. To collect objective data of player‘s performance in a match,

3. To use collected data for planning.

"I played in the zone."

Wristband as a new Coaching Tool

• During official tennis match,• Does not disturb a player,• Player‘s tactical, technical and mental

performance indicators,• Relation with effectiveness in a match.

Armbeep System

• Biometric Module,

• Tennis Match Notation App,

• Player‘s Personal Data Dashboard.

Biometric Module• Playing hand movement trajectories

(acceleration and gyro in x, y, z axis),

• Body and air temperature,

• Blood Oxygen Saturation (SPO2),

• Heart Rate Variability (HRV).

Dim. = 27 mm X 27 mm X 10 mmWeight = 9 g

Heart Rate Variability (HRV)• Heart Rate Variability is the

degree of fluctuation in the length of the intervals between heart beats (Malik & Camm, 1995), • Studies have shown that HRV one

of the most reliable indicators of stress,• Information about player‘s stress

level is a tool to control it.

Tennis Match Notation App

• Active & passive game phases,• Score,• Player‘s

Emotional Response (emoji).

Post Match QuestionerEstimate how much of the following states were present before the competition:

Not at all0%

A little25%

Moderately50%

Quite a bit75%

Very much100%

Effort: I go for every ball, I try hard. Determined: I take every chance I get. Focus: My mind is on the game, I only think about the point which is being played right now.

Calm: My reactions are appropriate, I don't shout, throw racquet...

Prepared: I have a clear plan on how to play. Persistent: When my plan fails, I keep trying and looking for new solutions.

Reward: I encourage myself, reward myself for good points.

Kajtna & Tement, 2015.

Player‘s Personal Data Dashboard

Player‘s Personal Data Dashboard

How collected data can help coach/player?• Count number of strokes per rally,• Identify stroke‘s type (90 %),• Measure and compare speed and path of the strokes (type,

practise/match, score),• Identify contact point quality,• Analyse player‘s workout on practise,• Measure, define and compare HRV (IPS).

Assist coach to set up training goals

In a 1st set was 67 % of the time in between points in IPS zone, In a 1st set won 87 % of rallies last more then 6 shots, In 1st set at 79 % of forehands had optimal contact point.

In 3rd set was 45 % of time in betwen points in IPS zone,In 3rd set after 38 % of losing points showed negative emotional response,In 3rd set average speed of backhands decreased for 13 km/h.

Martin James vs Paul Jones 62 57 46

Armbeep‘s BenefitsPlayer's Mental Characteristics

Ideal Performance State

Benchmark PlayersTrack RecordData Driven PlanningComprehensive Player's Analysis Match and Training ProgressCommunication Coach – Player – Parent

Armbeep Team

Sergej Prosen, MBSc Tomaž Berendijaš

Kristjan Pečanac, Business data

driven

Aleš Filipčič, Ph. D.

Thank you for your attention!

Thank you for your attention!