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Gawler Races | Neurals

Wednesday, 27th May 2026

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1
12:45
(local)

Jacqui Ion Lawyers Two-Year-Old Maiden Plate

Age: 2yo Type: MDN Fastest Time: 1:04.40 Bassett Babe 28 Jan 2026 3yo MDN(SW) SOT:G
AUD $25,000
1100m TURF HEAVY 9
1
12:45
(local)
AUD $25,000
1100m HEAVY 9

Jacqui Ion Lawyers Two-Year-Old Maiden Plate

Age: 2yo Type: MDN Fastest Time: 1:04.40 Bassett Babe 28 Jan 2026 3yo MDN(SW) SOT:G

2
13:20
(local)

Benefitness and Healthcare Maiden Plate

Age: 4yo and up Type: MDN Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G
AUD $25,000
1200m TURF HEAVY 9
2
13:20
(local)
AUD $25,000
1200m HEAVY 9

Benefitness and Healthcare Maiden Plate

Age: 4yo and up Type: MDN Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G

3
13:55
(local)

Advanced Transport Refrigeration Three-Year-Old Maiden Plate

Age: 3yo Type: MDN Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G
AUD $25,000
1200m TURF HEAVY 9
3
13:55
(local)
AUD $25,000
1200m HEAVY 9

Advanced Transport Refrigeration Three-Year-Old Maiden Plate

Age: 3yo Type: MDN Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G

4
14:30
(local)

Ruby Tuesday Foundation Maiden Plate

Age: 2yo and up Type: MDN Fastest Time: 1:32.91 Eventually 07 Oct 2024 BM0-56 SOT:G
AUD $25,000
1516m TURF HEAVY 9
4
14:30
(local)
AUD $25,000
1516m HEAVY 9

Ruby Tuesday Foundation Maiden Plate

Age: 2yo and up Type: MDN Fastest Time: 1:32.91 Eventually 07 Oct 2024 BM0-56 SOT:G

5
15:05
(local)

Irongate Australia Benchmark 58 Handicap

WT: 54.0kg Type: BM58 Fastest Time: 1:32.91 Eventually 07 Oct 2024 BM0-56 SOT:G
AUD $25,000
1516m TURF HEAVY 10
5
15:05
(local)
AUD $25,000
1516m HEAVY 10

Irongate Australia Benchmark 58 Handicap

WT: 54.0kg Type: BM58 Fastest Time: 1:32.91 Eventually 07 Oct 2024 BM0-56 SOT:G

6
15:40
(local)

Sportsbet Racing Cash Out Fillies & Mares Rating 0 - 56 Handicap

Sex: FM WT: 54.0kg Type: BM0-56 Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G
AUD $25,000
1200m TURF HEAVY 10
6
15:40
(local)
AUD $25,000
1200m HEAVY 10

Sportsbet Racing Cash Out Fillies & Mares Rating 0 - 56 Handicap

Sex: FM WT: 54.0kg Type: BM0-56 Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G

7
16:15
(local)

Wakeful Partners Colts, Geldings & Entires Rating 0 - 56 Handicap

Sex: CG WT: 55.5kg Type: BM0-56 Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G
AUD $25,000
1200m TURF HEAVY 10
7
16:15
(local)
AUD $25,000
1200m HEAVY 10

Wakeful Partners Colts, Geldings & Entires Rating 0 - 56 Handicap

Sex: CG WT: 55.5kg Type: BM0-56 Fastest Time: 1:10.41 The Stalker 13 Dec 2025 BM76 SOT:G

INTERACTIVE FORM

Racing And Sports has two quality interactive form systems which you as the user can adjust to your own specific tastes and thoughts. We've detailed below how to use both the Neurals and Worksheet areas of a race guide.

Neurals

These are computer enhanced analyses of all the areas which go into making up a race field. They factor in algorithms for every contingency as explained below and added them up to generate the likely best horse in a race.

When you go into them via the Form Guide page you simply run your mouse over any column and you can sort the field by any individual type of Neural Rating which determines the final total (and therefore best rater).

Explanation of Inputs for Neural Analysis

CP Career performance assessment based on weight/class algorithms
CF Current form measured by class/weight algorithms
TIM Revolutionary time assessment (adjusted algorithm)
JA Jockey ability algorithm
TA Trainer ability algorithm
JT Jockey/trainer combination algorithm
WT Wet track performance algorithm
Crs Course suitability algorithm
D Distance suitability algorithm
$ Prizemoney earned algorithm
BP Barrier position (course & distance) algorithm
DLR Days since last run algorithm
  • The user sets the level of importance from the Preference Scale (1 to 5 or No) for each algorithm and the output weightings are listed within seconds.
  • The Neural factor analysis will quickly identify for you just who are the main chances in each race, the highest to the lowest based on the factor weightings

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