Gold Coast Form Guide (Race 6) | Neurals
Saturday, 02nd November 2024
- Full Fields
- Enhanced Form
- Race Fields
- Speed Map
- Neurals
- Worksheet
- Sibling Report
- PDF / Data Download
- Customised Race Report
6
16:49
(local)
(local)
TRIPLE M GOLDS $1000 MINUTE JERICHO CUP (HEAT) BENCHMARK 70 Handicap
WT: 54.0kg Type: BM70 Fastest Time: 3:22.60 Grand Shanghai 01 Nov 2022 BM70 SOT:S
AUD $35,000
3200m TURF SOFT 5
1st AUD $19,800
2nd AUD $6,500
3rd AUD $3,200
4th AUD $1,900
5th AUD $1,100
6th - 10th AUD $500
6
16:49
(local)
(local)
AUD $35,000
3200m SOFT 5
TRIPLE M GOLDS $1000 MINUTE JERICHO CUP (HEAT) BENCHMARK 70 Handicap
WT: 54.0kg Type: BM70 Fastest Time: 3:22.60 Grand Shanghai 01 Nov 2022 BM70 SOT:S
1st AUD $19,800
2nd AUD $6,500
3rd AUD $3,200
4th AUD $1,900
5th AUD $1,100
6th - 10th AUD $500
Print
CSV
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 |
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