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Stats Crunch!

A maths challenge with Patrick Dangerfield.

Proudly supported by:

A partnership program by:

The BioCATS program is all about maths and science with a healthy edge!

Each activity developed under the BioCATS brand provides a unique insight into the application of maths and science skills using real life scenarios from the Geelong Football Club. Our educational experiences are themed with physical activity and the wonders of the human body to engage students in a unique learning environment and emphasise the importance of healthy body, healthy mind.

This partnership program was designed in 2012 by BioLAB: The Victorian BioScience Education Centre in partnership with the Geelong Football Club. It has been successfully delivered to over 10,000 Victorian primary school students from the Deakin Cats Community Centre at GMHBA stadium.

The BioCATS program is proudly supported by Bisinella.

Curriculum Links

Mathematics Level 5 & 6

• Construct displays, including column graphs, dot plots and tables, appropriate for

data type, with and without the use of digital technologies.

• Describe and interpret different data sets in context.

• Select and apply efficient mental and written strategies and appropriate digital

technologies to solve problems involving all four operations with whole numbers and

make estimates for these computations.

• Interpret secondary data presented in digital media and elsewhere.

Science Level 5 & 6

• Construct and use a range of representations, including tables and graphs, to represent

and describe observations, patterns or relationships in data using digital technologies

as appropriate.

• Compare data with predictions and use as evidence in developing explanations.

• Scientific understandings, discoveries and inventions are used to solve problems that

directly affect peoples’ lives.

Learning Intention and Success Criteria

Learning Intention

To understand how mathematics can be applied to real world contexts.

Success Criteria

• Collect and record secondary data using tally marks

• Use tables and column graphs to represent data

• Analyse and interpret data

• Identify ways in which mathematics is used in AFL Football.

Teacher NotesSTATS CRUNCH

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Introduction

Maths and Football Behind the scenes of very AFL football club there are lots of people who are using their

mathematical skills to monitor players and analyse the team’s performance.

Data collected every match includes;

• Player’s statistics – kicks, marks and handballs

• GPS data – distance covered (km) and running speed (km/hr) of players

• Heart Rate – recorded in beats per minute (bpm) and used to determine how hard

a player is working.

The people responsible for collecting this data are the Sports Statistician and Data Analyst, both of these roles sit within the Sport Science Team at the Cats.

Their role is to collect the data on match day, then analyse and graph the data after the

match. Once this is complete they pass the information on to coaches and individual

players to help them better understand how they have performed during the match.

Your ChallengeYour challenge today is to take on the role of Sports Statistician and Data Analyst with

the Geelong Cats Sport Science Team.

You will be collecting Patrick Dangerfield’s kicking, handball and marking data from

match footage.

Once you have collected the data, you will use your maths skills to analyse and measure

his performance. You will then create a report that can be sent back to the Cats coaching

staff for review.

The ChallengeSTATS CRUNCH

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Your Instructions

• Have your pen, pencil and BioCATS work booklet ready to record data.

• Watch the first quarter snippets and use tally marking to record ONLY Patrick

Dangerfield’s kicks, handballs and marks.

REMEMBER: Pat Dangerfield is number 35 for the Cats.• Continue recording Pat Dangerfield’s kick, handball and mark data for second, third

and fourth quarters.

• Add up and record Pat’s total kicks, total handballs and total marks for the whole

match.

• Using the data recorded in your BioCATS work booklet analyse and complete the

report on Pat Dangerfield’s performance.

Recorded Data Example

Kicks Handball Marks

Quarter 1 IIII I II I

Quarter 2 I I I

Quarter 3 II III I

Quarter 4 IIII I II

Total 13 7 5

Student InstructionsSTATS CRUNCH

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Data EntryRecord Pat Dangerfield’s kicking, handball and marking data in the table below.

Record one quarter at a time.

Kicks Handball Marks

Quarter 1

Quarter 2

Quarter 3

Quarter 4

Total

Recording DataSTATS CRUNCH

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Healthy Body Reminder! When each quarter finishes take a break, get up and active!

Click this link to try a GMHBA Healthy Heroes Brain Break!

Graphing your dataCreate a side by side column graph using your collected data. Ensure you use a

ruler when completing your column graph. To help you out, we have filled in the 4th

quarter as an example.

Compare how many kicks, handballs and marks Pat Dangerfield had during each of the

four quarters.

Data AnalysisSTATS CRUNCH

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Pat Dangerfield’s Match Data

0

1

2

3

4

5

6

7

8

9

10

Tota

l kic

ks,

han

db

alls

an

d m

ark

s

Quarters

Pat Dangerfield's Match Data

1 2 3 4

Kic

ks

Han

db

alls

Mar

ks

Tota

l Kic

ks,

Han

db

alls

an

d M

ark

s

Quarters

Data AnalysisSTATS CRUNCH

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Using graphs to analyse dataA side by side column graph helps us compare and analyse more than one data set.

Once your graph is filled in answer the questions below.

1. Which quarter did Pat Dangerfield have his best overall performance? Use the

data in your column graph to help justify your answer.

______________________________________________________________________________________________________________________________________________________________ _______________________________________________________________________________

2. Which quarter did Pat Dangerfield have his poorest overall performance? Use the

data in our column graph to help justify your answer.

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Using the mean to analyse dataData Analysts will often calculate the mean (average) of data sets

Calculate the mean (average) for each of your data sets: kicks, handballs and marks and

fill in the table below.

Example: Average kicks = quarter 1 + quarter 2 + quarter 3 + quarter 4 =______÷ 4

Kicks Handballs Marks

3. Why would mean (average) data be useful for players and coaches?

________________________________________________________________________________

________________________________________________________________________________

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Applied learningSTATS CRUNCH

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Collecting data for other sportsKicking, handballing and marking three fundamental skills in a football match that a

sport statistician can measure.

For the sports below can you identify three fundamental skills that could be measured

by sport statisticians?

1 2 3

Basketball

Netball

Cricket

Tennis

Soccer

Final ReportSTATS CRUNCH

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Player Performance Report

The role of a sport statistician at the Cats is to report all player data back to the coaches.

Complete the question below, reporting back on Pat Dangerfield’s performance.

After watching and analysing Pat’s performance throughout the game rate his performance from 1-10 by placing a cross in the number box.

(1=very poor, 5=medium, 10=excellent)

1 2 3 4 5 6 7 8 9 10

Justify your rating - try to use your data in your answer

________________________________________________________________________________________

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What other contributions did Patrick Dangerfield make during the game that cannot be measured by statistics and data?

________________________________________________________________________________________

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Would you recommend Patrick Dangerfield play in the next match based upon his overall performance? Why?

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