Kembla Grange Form Guide (Race 7) | Neurals
Tuesday, 05th November 2024
- Full Fields
- Enhanced Form
- Race Fields
- Speed Map
- Neurals
- Worksheet
- Sibling Report
- PDF / Data Download
- Customised Race Report
7
16:40
(local)
(local)
ERICOM KEMBLA GRANGE CUP BENCHMARK 64 HANDICAP
WT: 55.0kg Type: BM64 Fastest Time: 1:08.56 Flying Sultan 29 Feb 2024 BM64 SOT:G
AUD $42,000
1200m TURF
1st AUD $20,550
2nd AUD $7,450
3rd AUD $3,900
4th AUD $2,300
5th AUD $1,400
6th AUD $1,150
7th - 10th AUD $1,050
7
16:40
(local)
(local)
AUD $42,000
1200m
ERICOM KEMBLA GRANGE CUP BENCHMARK 64 HANDICAP
WT: 55.0kg Type: BM64 Fastest Time: 1:08.56 Flying Sultan 29 Feb 2024 BM64 SOT:G
1st AUD $20,550
2nd AUD $7,450
3rd AUD $3,900
4th AUD $2,300
5th AUD $1,400
6th AUD $1,150
7th - 10th AUD $1,050
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 |
|