Horse Racing Winning Distances Explained
menu and award winning wines sourced from the fair Cape and International. Igbo Chieftaincy Attire, Horse Racing Distances Explained, Houses For Rent. Their calculation takes account of track differences, race distances, the ages of the horses concerned, weight-for-age, weights carried. Rene Piechulek explained in a first statement: ′′ I am speechless. and a half lengths ahead and became the successor of last year's winner Rubaiyat.
Racecourse in Cologne WeidenpeschGrand National Betting Odds Saturday April 10 ; TV Schedule: live on ITV; Distance: 4m2½f; Fences: 30; Safety Limit: 40 runners; Racecourse. Dortmund racing club: Virtual champion award and another euros Carvalho explained: ′′ There were many two-year-old horses at the start. The horse race track in Weidenpesch is still quite a distance from this world. around the "betting circus", we have simply explained the technical terms.
Horse Racing Winning Distances Explained What is a winning distances bet? VideoPR Ratings help series - Horse racing Distance filter \u0026 Race Order
With flat racing the cumulative distance can be a good place to start for the meeting. The flip side is where you have a bunch of races that can be up to 2 miles in length on the flat creating a large cumulative distance.
This gives more opportunity to have a larger lead or gap between each horse. RacingKel [ CC BY 2. Some horses have been able to dominate most of the races they have run and won them convincingly.
Frankel is one of the greatest flat racing horses to have ever lived. He rode 14 times and won every single race that he entered.
But what was impressive is that he used to dismantle fields. Some of his winning margins include 13L max 12L for this bet , 10L, 11L and 7L.
Given the standard of the races that he was in, this is an incredible feat. When you have a horse like this racing at the meeting that you are betting on, you need to take note of it, especially with flat racing.
A 12L win might be as much as the other 5 races combined, so it can massively offset where you want to bet for the aggregate distance. This sort of ground makes these races a real war of attrition, especially over longer distances.
Horses get tired quickly and usually only a few stay on really well over this type of ground. Bookmakers also have their default distance of 6 furlongs for these races, although on heavier ground we would suggest that this would be considerably longer.
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There are a few off-shoot markets that have come from this as well, which we have outlined below: Aggregate distance — As mentioned above, this is where you take the aggregate winning distance for the entire race meeting.
Aggregate distance spread — Same bet as above but used as a spread bet. ANOVA is used to check if the differences seen in the graphs above are statistically significant.
Table 4 below shows the handicapper does take into account Going, Field Size and Race Class in the handicap changes he applies to winning horses — the p-values show that each category explains a significant component of the lbperL variable.
In the next section we examine if sufficient account is taken of the different race categories. If the handicapper takes sufficient account of race categories it should be the case that horses run equally well in their next race.
The variable PctBtn thanks to Simon Rowlands of Timeform for suggesting this variable, for example here is defined as the percentage of horses beaten next time out by the winner of each race.
If the handicapper has done his job, there should be no difference in the average PctBtn variable by race category.
ANOVA is used again. Table 5 contains the results. The results for Field Size are statistically significant.
It appears as if the handicapper does not raise the handicap mark of winners of large Field Size races by enough, since they beat a higher proportion of their rivals next time out than winners of races in other categories.
In addition to the obvious effect of Trip and Going on winning distances, Field Sizes and Race Class are also significant contributors.
Whilst the handicapper appears to take these factors into account in setting handicap marks, in the case of large fields size handicap winners it appears that winners are insufficiently penalised.
It is a small step to suggest that placed horses from large Field Size races are worthy of particular attention next time out. You are commenting using your WordPress.
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Notify me of new comments via email. Notify me of new posts via email. November 13, By jasonhathorn in Handicapping Leave a comment. Introduction The distance that horses finish relative to each other in horse racing is an important consideration in deciding what rating to apply to each horse post-race by public and private handicappers.
Races were placed into categories as follows: Trip — Sprint up to 6. Trip LONG MID MILE SPRINT Table 1: Number of races by year by trip Ground classifications used were those applied by RI rather than the official going.
Going F 0. Field Sizes LARGE SMALL TINY 52 32 Table 2b: Number of races by year by field size In Table 2c below the relationship between Race Class and Field Size is shown.
Graph 1: Winning distance by going category Winning Distance and Race Class On average winning distances are higher in Low Class races.
Graph 2: Winning distance and Race Class Winning Distance and Field Size Winning distances are higher in Small Field Size races.
Graph 3: Winning Distance and Field Size Contributions to Winning Distances The information presented above shows that winning distances are affected by Trip, Going, Field Size and Race Class.
Graph 4: Winning distance and handicap changes Pounds Per Length and Going Handicap changes per length are lower for races that take place in Soft going.
Graph 5: Pounds per Length and Going Pounds Per Length and Race Class Handicap changes per length are higher for High Class races.
The same theory applies to the race distance categories relating to previous runs of the horse. Comments -. With the Previous Distance Beaten setting, you can specify a range of distance that the horse was beaten by in its previous race.
This particular system builder category looks at the horses previous race and to the distance it finished ahead of the next finishing horse.
It is vital you are aware it does not just include winning horses, to set this paramater you will need to set the previous placing category at 1.
If you do not specify a previous placing you will receive mixed results. When studying the horses listed to compete in any of todays horse racing , more often than not a factor you should consider is how each horse has performed over the same distance in the past.
It may also be of interest over what race distance the horse has had most success. This data can hopefully lead to some assumptions as to whether the horse is suited by todays trip, whether the horse is likely to stay last the trip or if perhaps its too short certain horses excel when having to travel further.
The purpose of the Distance Analysis Tool is to answer these questions fast and efficiently. This display shows how each horse competing in the race has fared previously in five separate tests.
Each of these tests is highlighted as a heading in the 5 main columns within the table.