Elazig Races | Neurals

Monday, 30th June 2025

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1
17:15
(local)

Race 1

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
TRY ₺498,750
1200m DIRT
1
17:15
(local)
TRY ₺498,750
1200m

Race 1

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
2
17:45
(local)

Race 2

Age: 4yo and up Sex: M Type: COND4 Fastest Time: 2:28.19 Mazlum Aga 30 Oct 2023 4yo+ COND4(SW) SOT:F
TRY ₺437,500
2000m DIRT
2
17:45
(local)
TRY ₺437,500
2000m

Race 2

Age: 4yo and up Sex: M Type: COND4 Fastest Time: 2:28.19 Mazlum Aga 30 Oct 2023 4yo+ COND4(SW) SOT:F
3
18:30
(local)

Race 3

Age: 3yo WT: 53kg Type: HCP16 Fastest Time: 1:13.71 Akan Sel 25 Oct 2023 3yo F COND3 SOT:F
TRY ₺551,250
1200m DIRT
3
18:30
(local)
TRY ₺551,250
1200m

Race 3

Age: 3yo WT: 53kg Type: HCP16 Fastest Time: 1:13.71 Akan Sel 25 Oct 2023 3yo F COND3 SOT:F
4
19:00
(local)

Race 4

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
TRY ₺498,750
1200m DIRT
4
19:00
(local)
TRY ₺498,750
1200m

Race 4

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
5
19:30
(local)

Race 5

Age: 3yo WT: 53kg Type: COND2 Fastest Time: 1:43.98 Atom Cemil 04 Sep 2024 3yo+ COND4 SOT:F
TRY ₺271,250
1600m DIRT
5
19:30
(local)
TRY ₺271,250
1600m

Race 5

Age: 3yo WT: 53kg Type: COND2 Fastest Time: 1:43.98 Atom Cemil 04 Sep 2024 3yo+ COND4 SOT:F
6
20:00
(local)

Race 6

Age: 4yo Type: HCP14 Fastest Time: 2:03.81 Gece Isigi 23 Oct 2023 4yo HCP15(SW) SOT:F
TRY ₺350,000
1700m DIRT
6
20:00
(local)
TRY ₺350,000
1700m

Race 6

Age: 4yo Type: HCP14 Fastest Time: 2:03.81 Gece Isigi 23 Oct 2023 4yo HCP15(SW) SOT:F
7
20:30
(local)

Race 7

Age: 4yo and up Type: HCP15 Fastest Time: 2:21.11 Ramize 01 Nov 2023 4yo HCP14(SW) SOT:F
TRY ₺437,500
1900m DIRT
7
20:30
(local)
TRY ₺437,500
1900m

Race 7

Age: 4yo and up Type: HCP15 Fastest Time: 2:21.11 Ramize 01 Nov 2023 4yo HCP14(SW) SOT:F
8
21:00
(local)

Race 8

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
TRY ₺498,750
1200m DIRT
8
21:00
(local)
TRY ₺498,750
1200m

Race 8

Age: 3yo Sex: F Type: MDN Fastest Time: 1:23.20 Gobeklitepe Agasi 11 Oct 2023 4yo COND5(SW) SOT:F
9
21:30
(local)

Race 9

Age: 3yo and up WT: 53kg Type: HCP16 Fastest Time: 2:04.81 Chain Breaker 18 Oct 2023 3yo+ COND3 SOT:F
TRY ₺551,250
1900m DIRT
9
21:30
(local)
TRY ₺551,250
1900m

Race 9

Age: 3yo and up WT: 53kg Type: HCP16 Fastest Time: 2:04.81 Chain Breaker 18 Oct 2023 3yo+ COND3 SOT:F

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