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Highest Turnarounds from deficits

3 January 2008#Blueseum · #Club History · #Records

This page tracks the highest turnarounds in overall scores from being behind at each quarter break. For the record margins down at each quarter break that resulted in a win, a slightly different analysis, click here.

From Deficit to Largest Winning Margins by Quarter

Year

Rd

Team

Q1

Q2

Q3

Q4

Total

Opponent

Q1

Q2

Q3

Q4

Total

Deficit

Won By

Comeback

From 1st Quarter Deficit

1976

19

Carlton

2.4

8.7

10.13

22.19

151

St Kilda

6.3

7.5

7.7

7.8

50

-23

101

124

1981

9

Carlton

1.5

8.14

17.17

25.22

172

Sth. Melb.

4.2

6.2

9.4

11.7

73

-15

99

114

1932

18

Carlton

2.2

13.8

15.9

20.21

141

St Kilda

5.6

5.6

7.11

7.12

41

-22

87

109

1987

10

Carlton

4.4

12.9

18.15

27.22

184

Brisbane

5.2

8.5

11.8

12.9

81

-4

103

107

1976

7

Carlton

1.2

7.6

17.11

21.14

140

Richmond

6.7

7.9

8.10

9.15

69

-35

71

106

From 2nd Quarter Deficit

1993

16

Carlton

2.4

7.8

18.14

27.19

181

Fitzroy

3.3

10.6

11.8

14.11

95

-16

86

102

1988

3

Carlton

4.3

9.5

19.8

23.13

151

Essendon

7.2

10.8

11.11

11.13

79

-9

72

81

1980

20

Carlton

2.3

8.5

17.10

25.14

164

Essendon

6.0

11.2

12.4

16.7

103

-15

61

76

1990

14

Carlton

6.2

9.4

19.7

25.12

162

Sydney

6.2

9.8

10.8

13.12

90

-4

72

76

1976

7

Carlton

1.2

7.6

17.11

21.14

140

Richmond

6.7

7.9

8.10

9.15

69

-3

71

74

From 3rd Quarter Deficit

1972

19

Carlton

1.4

4.8

5.11

13.16

94

St Kilda

2.6

4.7

10.8

10.11

71

-27

23

50

1942

15

Carlton

3.0

3.6

7.7

17.13

115

Fitzroy

2.7

3.9

10.19

13.20

15

-30

17

47

1946

14

Carlton

4.3

8.9

9.10

15.18

108

Hawthorn

4.5

6.7

10.11

10.11

71

-7

37

44

1984

7

Carlton

2.6

4.6

10.11

18.14

122

Melbourne

6.4

11.5

15.7

16.9

105

-26

17

43

1936

15

Carlton

0.2

3.5

5.5

14.6

90

Richmond

3.4

4.6

7.10

9.12

90

-17

24

41



Please note that there are formatting differences in this section of the site, mainly caused by having a number of willing contributors who track these types of statistics.

Last updated by Jamie Sanderson ·