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Hanshin Results | Meeting Summary

Sunday, 12th April 2020

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Race Winner Class Dist SOT Time Temp Diff RSSF L600 #Wins AWI API
1
Maiden Race
JPY ¥9,680,000 | 10:05

11. CIELARKO

3F MDN

1800m

G

1:55.50

12.83

+0.78

52

38.30

0

0

522.86
2
Maiden Race
JPY ¥9,680,000 | 10:35

10. FRESH STAGE

3 MDN

1200m

G

1:13.40

12.23

+0.73

68.7

38.20

0

0

440.85
3
Maiden Race
JPY ¥9,680,000 | 11:05

9. KEIAI DORIE

3 MDN

1800m

G

1:54.20

12.69

+0.63

60.7

38.30

0

0

370.63
4
THREE-YEAR-OLD MAIDEN
JPY ¥9,680,000 | 11:35

6. NOWHERE LAND

3 MDN

2000m

FM

2:03.10

12.31

+0.59

70.7

35.80

0

0

313.29
5
Allowance Race
JPY ¥13,830,000 | 12:25

12. NISHINO HORIZON

3 ALLOW

1200m

G

1:12.40

12.07

+0.57

75.3

37.40

16

17.8

1739.24
6
Allowance Race
JPY ¥14,360,000 | 12:55

7. LIVERPOOL TOWN

4U ALLOW

2000m

G

2:05.80

12.58

+0.43

76.7

38.60

4

6.1

1424.24
7
FOUR-YEAR-OLD & UP C1W
JPY ¥14,360,000 | 13:25

6. CENTAUR

4U ALLOW

1600m

G

1:34.90

11.86

+0.38

85.3

35.80

3

4.8

1137.72
8
TENNOJI TOKUBETSU
JPY ¥29,150,000 | 13:55

1. RECIPROCATE

4U ALLOW

1400m

G

1:24.40

12.06

+0.41

78

37.40

13

12

1564.87
9
WASURENAGUSA SHO(L)
JPY ¥38,320,000 | 14:25

2. WIN MIGHTY

3F OPEN LR

2000m

G

2:03.60

12.36

+0.64

74

35.20

13

32.5

3568.12
10
THE OSAKA-HAMBURG CUP
JPY ¥35,120,000 | 15:01

14. GRAND ROI

4U ALLOW

1200m

S

1:09.90

11.65

+0.53

84

35.70

13

11.8

2341.41
11
OKA SHO (JAPANESE 1000 GUINEAS)
JPY ¥235,350,000 | 15:40

9. DARING TACT

3F OPEN G1

1600m

S

1:36.10

12.01

+0.52

77.3

38.10

36

45.6

11878.82
12
UMEDA STAKES
JPY ¥35,130,000 | 16:25

15. CONQUEROR

4U ALLOW

1800m

S

1:51.60

12.4

+0.34

78

37.30

20

18.5

3146.41

Meeting Results Analysis

The Meeting Analysis Results Service provides a detailed overview of the meeting, including breeding information, a unique race time break down, Last 600m comparisons plus field win and prizemoney details.

This analysis is aimed at highlighting the best races and winning performances for every TAB meeting across Australia each day.

Explanation of Analysis Table

SOT State Of Track. G means the time was run on a good rated track.
Time The Time shown is the actual race time recorded by the winner with the track condition shown after eg 1:58.90
TEMP is a calculated average race Tempo per 200m. For example 12.50s implies the average tempo of the race is 12.50 seconds every 200m.
TDIFF is a comparison of the Actual Race Tempo compared with the Tempo calculated from Racing and Sports Time Standard for each track and distance. For example a TDIFF figure of +0.33 implies each 200m section on average was run 0.33 seconds slower than the standard time for this distance. A cursory view of the TDIFF figures for each meeting shows which races were run at a faster tempo on the program when measured against the standard for that distance.
RS SF is the Racing and Sports Speed Figure. It is calculated in lengths and represents a measure of the fastest and slowest winning races again referenced to the Standard time but adjusted for Track variant and class of the meeting in question. A RS SF is calculated for all horses who run at each meeting and is a ready reference for comparing performances.
L600 is the last 600m sectional time of each race where available (measured by leader). In tabular form it is much easier to put the sectional times in perspective.
#Wins is the number of wins recorded by all the runners in the field in the last 12 months.
AWI is the field average win strike rate in the last 12 months (eg total wins divided by total runs of all runners in last 12 months)
API is the field average prizemoney for the last 12 months. (eg total Prizemoney earnt in last 12 months by all runners in the field divided by the number of starts all runners have had in last 12 months). These figures give a indication of the quality of the field.

All Runners

This is a list of all runners at every TAB across Australia each day and lists the runner, finish position, RSTR, race number and SP.

You can bring up the race result by clicking on any runner.