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Sunderland Results | Meeting Summary

Thursday, 30th March 2023

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Race Winner Class Dist SOT Time Temp Diff RSSF L600 #Wins AWI API
1
Keep On Track @Sunderlanddogs on Twitter Stakes
GBP £410 | 14:04

3. SPORTSMANS BRID

A6

450m

0:27.65

12.29

0

-

14

13.7

0.06
2
The Winning Deal Only ?12.00 @ Sunderland Dogs Stakes
GBP £380 | 14:19

5. MOSS ROW MONSTER

A7

450m

0:28.02

12.45

0

-

17

11.3

0.06
3
Retired Greyhounds Make Great Pets Stakes
GBP £415 | 14:36

1. COOGA NOLETTE

A5

450m

0:27.97

12.43

0

-

24

17.5

0.06
4
Easter Sunday Lunch @ Sunderland Dogs Stakes
GBP £440 | 14:54

4. CRAFTY LIMATO

A2

450m

0:27.28

12.12

0

-

34

24.3

0.08
5
Friday Nights In The Trackside Restaurant Stakes
GBP £330 | 15:09

1. KNOCKALTON BEANY

D3

261m

0:16.10

12.34

0

-

35

21.3

0.06
6
Good Friday Racing @ Sunderland Dogs Stakes
GBP £330 | 15:26

2. LEXIS CATIE

D4

261m

0:16.26

12.46

0

-

7

7.6

0.04
7
Sunderland-Greyhounds.co.uk
GBP £420 | 15:44

4. RATTLING JEN

A4

450m

0:27.60

12.27

0

-

33

19

0.06
8
Race Day Packages @ Sunderland-Greyhounds.co.uk Stakes
GBP £420 | 16:04

6. WITTON BISHOP

A4

450m

0:27.62

12.28

0

-

23

13.1

0.06
9
Durham & District Retired Greyhounds Stakes
GBP £420 | 16:23

6. MINNIES VOGA

A4

450m

0:27.55

12.24

0

-

29

18.1

0.07
10
Sunday Lunch In The Restaurant @ Sunderland Dogs Stakes
GBP £375 | 16:43

5. CORBALLY KINGDOM

A8

450m

0:28.48

12.66

0

-

13

7.5

0.06
11
Sunderland-Greyhounds.co.uk Stakes
GBP £410 | 17:03

2. EVOLUTION ELVIS

A6

450m

0:27.88

12.39

0

-

23

13.1

0.05
12
Friday Nights Under The Lights @ Sunderland Dogs Stakes
GBP £430 | 17:22

2. HUWEZI

A3

450m

0:27.68

12.3

0

-

28

16

0.07

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.