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Bendigo Races | Neurals

Sunday, 15th December 2024

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1
13:15
(local)

Budget Bendigo Maiden Plate

Age: 3yo and up Type: MDN Fastest Time: 2:27.82 Sea King 30 Oct 2024 OPEN SOT:G
AUD $37,500
2400m TURF GOOD 4
1
13:15
(local)
AUD $37,500
2400m GOOD 4

Budget Bendigo Maiden Plate

Age: 3yo and up Type: MDN Fastest Time: 2:27.82 Sea King 30 Oct 2024 OPEN SOT:G
2
13:50
(local)

Adroit Insurance & Risk BM58 Handicap

WT: 54.0kg Type: BM58 Fastest Time: 2:27.82 Sea King 30 Oct 2024 OPEN SOT:G
AUD $35,000
2400m TURF GOOD 4
2
13:50
(local)
AUD $35,000
2400m GOOD 4

Adroit Insurance & Risk BM58 Handicap

WT: 54.0kg Type: BM58 Fastest Time: 2:27.82 Sea King 30 Oct 2024 OPEN SOT:G
3
14:25
(local)

Smart Loans Bendigo Maiden Plate

Type: MDN Fastest Time: 0:56.92 Tori's Dee 21 Mar 2024 3yo+ BM58 SOT:G
AUD $50,000
1000m TURF GOOD 4
3
14:25
(local)
AUD $50,000
1000m GOOD 4

Smart Loans Bendigo Maiden Plate

Type: MDN Fastest Time: 0:56.92 Tori's Dee 21 Mar 2024 3yo+ BM58 SOT:G
4
15:00
(local)

bet365 Maiden Plate

Type: MDN Fastest Time: 1:29.20 Heavenly Emperor 12 Feb 2023 3yo+ BM64 SOT:G
AUD $37,500
1500m TURF GOOD 4
4
15:00
(local)
AUD $37,500
1500m GOOD 4

bet365 Maiden Plate

Type: MDN Fastest Time: 1:29.20 Heavenly Emperor 12 Feb 2023 3yo+ BM64 SOT:G
5
15:35
(local)

Drake International Maiden Plate

Type: MDN Fastest Time: 1:16.25 Blackberry Bomb 30 Oct 2024 3yo BM64 SOT:G
AUD $37,500
1300m TURF GOOD 4
5
15:35
(local)
AUD $37,500
1300m GOOD 4

Drake International Maiden Plate

Type: MDN Fastest Time: 1:16.25 Blackberry Bomb 30 Oct 2024 3yo BM64 SOT:G
6
16:15
(local)

Wilsons Tree Services 0 - 64 Handicap

WT: 54.0kg Type: BM0-64 Fastest Time: 1:34.85 Here To Shock 01 Apr 2023 OPEN SOT:G
AUD $35,000
1600m TURF GOOD 4
6
16:15
(local)
AUD $35,000
1600m GOOD 4

Wilsons Tree Services 0 - 64 Handicap

WT: 54.0kg Type: BM0-64 Fastest Time: 1:34.85 Here To Shock 01 Apr 2023 OPEN SOT:G
7
16:50
(local)

National Heating and Cooling BM70 Handicap

WT: 54.0kg Type: BM70 Fastest Time: 1:22.63 Lady Jones 13 Apr 2024 4yo+ M OPEN(SW) SOT:G
AUD $40,000
1400m TURF GOOD 4
7
16:50
(local)
AUD $40,000
1400m GOOD 4

National Heating and Cooling BM70 Handicap

WT: 54.0kg Type: BM70 Fastest Time: 1:22.63 Lady Jones 13 Apr 2024 4yo+ M OPEN(SW) SOT:G
8
17:25
(local)

Happy Retirement Jenny Rawiller BM64 Handicap

WT: 54.0kg Type: BM64 Fastest Time: 1:02.63 Aminatu 11 Feb 2024 3yo+ BM64 SOT:G
AUD $35,000
1100m TURF GOOD 4
8
17:25
(local)
AUD $35,000
1100m GOOD 4

Happy Retirement Jenny Rawiller BM64 Handicap

WT: 54.0kg Type: BM64 Fastest Time: 1:02.63 Aminatu 11 Feb 2024 3yo+ BM64 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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