1
Q

What is meant by uncertainty of outcome? (Key terms)

A

Likely outcome
Predictability
Probability

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2
Q

What does the literature say of the effects of uncertainty of outcome on the size of stadium attendances and television audience viewership?

A

In theory as uncertainty of outcome increases so does stadium attendances but in reality, according to the literature, stadium attendances prefer certainty of outcome

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3
Q

What are the best ways to measure uncertainty of outcome and why?

A

Betting odds -
Because they take into account for all information surrounding a fixture (e.g. Messi)
Because it takes into account historical, present and future information

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4
Q

Fundamentals of Competitive Balance (3)

A

Access to markets
Ability to build support over time
Ability to pay and attract superstar athletes

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5
Q

Distinction between sporting and economic competition (4)

A

Monopolising success
Benefits to consumers of sporting competition
League and individual club objectives
Incompatible

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6
Q

League Policies and Management Practices in US (4)

A

Revenue sharing
Payroll caps
Draft
Luxury tax

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7
Q

League Policies and Management Practices in Europe

A

Gate revenue sharing

TV revenue sharing

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8
Q

3 Dimensions of Competitive Balance

A

Long-run (distribution of championships over time)
Seasonal (within season)
Short-run (match uncertainty and outcome of contest)

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9
Q

Measuring Long-Run Dimension

A

Concentration index - proportion of championships (or points) by top n teams e.g. CI4: dominance of top 4 teams
Lorenz Curve - deviation from perfect equality (careful interpretation necessary)

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10
Q

Main advantage of Concentration Index

A

Intuitive and easy to understand (good)

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11
Q

Cons of Concentration Index (3)

A

Doesn’t capture imbalance within top n teams
Doesn’t fully capture competitive balance
Measure could indicate imbalance when there’s balance

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12
Q

Measuring Seasonal Dimension

A

Statistical measures - range, variance or deviation

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13
Q

What is Standard Deviation?

A

Dispersion from mean

If SD is low, competitive balance is high

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14
Q

Competitive Balance is often measured by:

A

Standard Deviation of actual wins divided by idealised SD

As the measure increases, competitive balance worsens

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15
Q

Dobson and Goddard’s Algorithm for European Football

A

In contention for title promotion, Europe or relegation, by taking 3 points from remaining matches and other take single points from remaining matches

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16
Q

Measuring Match Uncertainty

A

Betting odds
Odds converted into probabilities
Most uncertain match (equal chance of home, draw and away outcome)

17
Q

Knowles et al. (1992) Control Variables (6)

A
Game quality
Weekend or evening
Population
Unemployment
Income per capita
Distance between home team and visitors
18
Q

Knowles et al. (1992) Focus Variable

A

Probability of home win

19
Q

Knowles et al. (1992) MLB Findings

A

home win prob : away win prob

0.6 : 0.4

20
Q

English Football Control Variables

A
Previous seasons home and away attendances
Teams points per game
Team wages
Derby
Distance
Public holiday
Weekday match not televised
Televised
N.B. focus variable the same (home team probability)
21
Q

Policy Implications for Uncertainty of Outcome

A

Maximising CB and OU is to essentially override stadium goers preferences which is for imbalance

22
Q

Policy Initiatives

A

Gate revenue sharing
TV revenue sharing
Salary capping