Tennis has never been entirely a number-crunching game, players winning lesser points may walk away with the match. Then, there are different surfaces and so varies the players' expertise. But it is on a slow but steady rise. There are aspects where #DataAnalytics is helping every party involved – Players, Coaches & Audience and this has led to the institutionalization of big data and Analytics Services. Majority of top 20 players on ATP Tour and WTA side are leveraging it to their advantage. This guide explores the different dimensions it is adding to the sport.

1. TENNIS
MADE
INTELLIGENT
Tag: Data Analytics
PLAYERS,
COACHES &
AUDIENCE

2. DATA
SOURCES
RACKET
SENSORS
VIDEO
RECORDINGS
1.
2.

3. Rackets laced with accelerometer,
gyroscope, and magnetometer to process
up to 1,000 data samples/ second
These sensors keep a tab on the power,
point of impact, movements, no. of strokes,
footwork and body positioning.
RACKETSRACKETSRACKETS

4. Information on aces and double faults to the
amount of unforced errors, net approaches,
shot placements, slice angles and break
point conversions
AI picks the most exciting moments with any
bias, just 2 mins after completion of days
play, using tech-stack such as deep &
machine learning, computer vision,
debiasing Python App and more.VIDEOSVIDEOSVIDEOS

5. GAMIFY &
BUILD
EXCITEMENT
REAL-TIME
STATS
IBM's Watson Discovery Service
crunched 22 years of unstructured
information. It analysed a colossal
53,713,514 data points, providing
Live stats, historical perspective
and insights to commentators,
coaches and spectators alike.
AUDIENCE
ENGAGEMENT
Analytics-based experiences
improve enjoyment for 83% of
fans surveyed according to
the Tennis Radar research.

6. Predicting outcomes - ELO Ratings
Accounts for a player’s past results and the strength of their
opponents. It gives a probabalistic outcome of the match,
factoring in the historical data of the players such as past
encounters, fatigue level, distance covered, etc.
The Service
Where to serve - the variance in serving patterns for Ad court
or Deuce court based on the tendency of the receiver.
The Returning "+1"
The opponent can benefit as well based on the servers'
tendecny such as - Federer tends to serve wider on key
points.
PLAYERS
ELO
RATINGS
PLAYERS
MEASURE OF PLAYER’S STRENGTH AT ANY
PARTICULAR TIME
FOCUS ON FIRST TWO
SHOTS
WINNING
THE
SHORTER
RALLYS

7. THE COACHING
Players
Guidelines
®
Tactical shot selection
based on players
strengths and abilities.
Sensors data, Videos
and stats to focus on
areas of improvement.
Study of opponenet's
style of play to create
a winning strategy.
SHOT
SELECTION
&HITTING
GAME
PLAN
CONSTANT
IMPROVEMENT

8. THE BIG 3 THE
GOLDEN
ERA
Where do they Stand?
"I try to do my
homework with my
team," Djokovic
STARTED IN 2013, EMPLOYS A
DATA ANALYSIS CONSULTANT
STARTED ONLY AFTER RETUNRING
FROM INJURY IN 2017.
JJUST USES RACKET SENSORS FOR
TRACKING DATA.
"It's something
we discussed and
decided not to,"
Nadal Camp
"It can be very
useful against
certain player types.
Sometimes I honestly
think it's very
misleading." Federer
NON-USERNON-USERNON-USERINTERMEDIATEINTERMEDIATEINTERMEDIATEEXPERTEXPERTEXPERT
The value that close monitoring and observation of data holds in a sport like tennis is
immense as well and It isn't a wonder that that several sports analytics firms have sprung
up hoping to help players find meaning in the data.

9. FOLLOW US
FOR MORE
SUCH
CONTENT.
www.polestarllp.comWebsite
marketing@polestarllp.comEmail Address
GAME.GAME.GAME. SET.SET.SET. MATCH.MATCH.MATCH.