Newton Abbot Form Guide (Race 4) | Neurals

Tuesday, 24th June 2025

4
19:27
(local)

Tammy Whitbread 50th Birthday Celebration Novices' Limited Handicap Hurdle

Age: 4yo and up WT: 66.5kg Type: HCP HDLE Fastest Time: 4:23.79 Konigin Isabella 25 Jun 2024 4yo+ HCP HDLE SOT:G
GBP £7,500
2m2f110y TURF GOOD FIRM
4
19:27
(local)
GBP £7,500
2m2f110y GOOD FIRM

Tammy Whitbread 50th Birthday Celebration Novices' Limited Handicap Hurdle

Age: 4yo and up WT: 66.5kg Type: HCP HDLE Fastest Time: 4:23.79 Konigin Isabella 25 Jun 2024 4yo+ HCP HDLE SOT:G
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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