What Can Hawk-Eye Data Reveal about Serve Performance in Tennis? - - PowerPoint PPT Presentation

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May 07, 2023 346 likes •458 views

What Can Hawk-Eye Data Reveal about Serve Performance in Tennis? Franois Rioult 1 Sami Mecheri 2 Bruno Mantel 2 Franois Kauffmann 3 Nicolas Benguigui 2 CNRS UMR6072 GREYC - Normandy University, F-14032 Caen, France EA4260 CesamS - Normandy

SLIDE 1

What Can Hawk-Eye Data Reveal about Serve Performance in Tennis?

François Rioult1 Sami Mecheri2 Bruno Mantel2 François Kauffmann3 Nicolas Benguigui2

CNRS UMR6072 GREYC - Normandy University, F-14032 Caen, France EA4260 CesamS - Normandy University, F-14032 Caen, France CNRS UMR6139 LMNO - Normandy University, F-14032 Caen, France

September 13th, 2015

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 1/10

SLIDE 2

What is the Hawk-Eye system for tennis ?

◮ up to 10 cameras around the tennis court ◮ vision processing, triangulation

➥ 40 Hz 3D-trajectory of the ball

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 2/10

SLIDE 3

XML data

<?xml␣version="1.0"␣encoding="UTF-8"␣standalone="no"␣?> <point␣valid="true"> ␣␣<hawkeye_header> ␣␣␣␣<xmldate␣d="Data"/> ␣␣␣␣<server␣p="CLIJSTERS"/> ␣␣␣␣<receiver␣p="HENINHARDENNE"/> ␣␣␣␣<positive␣p="HENINHARDENNE"/> ␣␣␣␣<serve_class␣c="1"/> ␣␣␣␣<scorer␣s="-1"/> ␣␣␣␣<PointDuration␣w="6.26786"/> ␣␣␣␣<score_raw␣s="1␣0"/> ␣␣</hawkeye_header> ␣␣<serve␣name="CLIJSTERS"␣player="1"␣speed="46.46"␣speedEnd="31.87"> ␣␣␣␣<coord␣t="0"␣x="1.47"␣y="-11.89"␣z="2.70"/> ␣␣␣␣<coord␣bounce="true"␣t="0.49025"␣x="-3.05"␣y="6.17"␣z="0.033"/> ␣␣</serve> ␣␣<shot␣speed="31.3742"␣speedEnd="19.8407"> ␣␣␣␣<coord␣t="0.8"␣x="-4.15587"␣y="11.766"␣z="1.06128"/> ␣␣␣␣<coord␣bounce="true"␣t="1.57191"␣x="0.24"␣y="-6.26"␣z="0.033"/> ␣␣</shot> ... </point>

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 3/10

SLIDE 4

Description

Data :

◮ from 2003 to 2008 ◮ 87 grand slam tournaments ◮ 1729 matches ◮ 262,596 points

Task :

◮ decode Magnus effect ◮ analyze performance for men and women ◮ focus on serve

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 4/10

SLIDE 5

About the surface

surface 1st serve 2nd INDOORS 72.01 53.03 GRASS 71.19 54.85 HARD 68.34 52.68 CLAY 66.28 52.24

Table : Winning percentage

➥ INDOORS » GRASS » HARD » CLAY ➥ The serve provides a great advantage

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 5/10

SLIDE 6

About the gender

gender 1st serve 2nd women 62.85 49.43 men 71.00 54.18

Table : Winning percentage

➥ still an advantage on the first serve

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 6/10

SLIDE 7

Serve speed

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 7/10

SLIDE 8

Distribution of impacts

y near impact percentage of total number of points 1 2 3 −6 −4 −2 2 4 : serve first serve : diagonal advantage court : serve second serve : diagonal advantage court : serve first serve : diagonal deuce court −6 −4 −2 2 4 1 2 3 : serve second serve : diagonal deuce court

➥ Difference between deuce and advantage court

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 8/10

SLIDE 9

Distribution of the angle

phi percentage

2 4 6 8 10 12 −100 100

first serve (0,0.05] second serve (0,0.05] first serve (0.05,0.1]

2 4 6 8 10 12

second serve (0.05,0.1]

2 4 6 8 10 12

first serve (0.1,0.2] second serve (0.1,0.2] first serve (0.2,0.3]

2 4 6 8 10 12

second serve (0.2,0.3]

2 4 6 8 10 12

first serve (0.3,1]

−100 100

second serve (0.3,1]

➥ no spin on the first serve

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 9/10

SLIDE 10

Conclusion

◮ painfull data cleaning ◮ a first analysis of big data ◮ confirmation of known results

Perspectives :

◮ impact of the number of strokes ◮ detection of routines

What can reveal Hawk-Eye? MLSA 2015, PKDD’15, Porto September 13h, 2015 10/10