Dubbo Form Guide (Race 6) | Neurals
Sunday, 29th September 2024
- Full Fields
- Enhanced Form
- Race Fields
- Speed Map
- Neurals
- Worksheet
- Sibling Report
- PDF / Data Download
- Customised Race Report
6
15:55
(local)
(local)
XXXX GOLD VINCENT GORDON FLYING HANDICAP
WT: 54.0kg Type: OPEN Fastest Time: 1:01.08 Canny Prospect 15 Jan 2024 CG MDN(SW) SOT:G
AUD $75,000
1100m TURF GOOD 4
1st AUD $35,250
2nd AUD $13,750
3rd AUD $7,675
4th AUD $4,350
5th AUD $2,850
6th AUD $2,250
7th - 10th AUD $1,750
6
15:55
(local)
(local)
AUD $75,000
1100m GOOD 4
XXXX GOLD VINCENT GORDON FLYING HANDICAP
WT: 54.0kg Type: OPEN Fastest Time: 1:01.08 Canny Prospect 15 Jan 2024 CG MDN(SW) SOT:G
1st AUD $35,250
2nd AUD $13,750
3rd AUD $7,675
4th AUD $4,350
5th AUD $2,850
6th AUD $2,250
7th - 10th AUD $1,750
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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