Horse Racing Winning Distances
Virtual Horse Racing 3D Pro: mamakinlive.com: Apps für Android. Challenge yourself to see how much you can win, or just have fun losing it all. Great,but would be even better with a variety of distances also would love a greyhound version. Lay The Field: A Low-Risk Horse Racing Betting Strategy | Kemp, Roger | ISBN: by giving you the most profitable courses, distances and number of runners. With Horse Racing Tips App you can get the Best Daily Tips for every race at every course: • Nap of the Day The best bet of the day's races.
Horse Racing Events in GermanyWith Horse Racing Tips App you can get the Best Daily Tips for every race at every course: • Nap of the Day The best bet of the day's races. “The distance, I was sure he could handle it,” winning jockey Ortiz said. Pletcher described Tapwrit's run as a “beautiful trip”. “It was everything that we had talked. Horse race betting tips also available. The two main forms of horse racing in the UK are unobstructed distances races, known as flat racing, and races over.
Horse Racing Winning Distances HORSE RACING TIPS AND FEATURES VideoHorse racing oddity: jockey misjudges distance "The actual time recorded by a horse over a given distance conveys, The time data held at Timeform House covers racing since and winner's timefigure being significantly slower than the best the horse is capable of. With Horse Racing Tips App you can get the Best Daily Tips for every race at every course: • Nap of the Day The best bet of the day's races. 2 kg for Group 2 winners * 1 kg for Group 3 winners * * since January 1. Purse, €50, () 1st: €32, The Grosser Preis der Freien Hansestadt Bremen was a Group 3 flat horse race in Germany open to thoroughbreds aged three years or older. It was run at Bremen over a distance of 1, metres (about 1 mile), and it. Lay The Field: A Low-Risk Horse Racing Betting Strategy | Kemp, Roger | ISBN: by giving you the most profitable courses, distances and number of runners. Horse racing is highly tactical, and the optimum strategy in any given circumstance may be to run rather slower than possible and to play to one’s strengths (such as in terms of position and ability to quicken) compared to the strengths of others. Winning distance is defined as the distance between the winner of a race and the horse coming third. There aren’t many races that take place on Firm Going and as a result its black line representation on the graph should be treated with caution. Distances are calculated on the elapsed time between each horse and then a scale known as the Lengths per Second Scale (Lps) is used dependent upon whether it is Flat or Jumps racing, the type of surface in use at the all-weather fixtures and the official going description issued on the day. The Scales used. The distance horses race over is an essential element when studying horse racing. The race. The maximum winning distance for a Flat race is set at 12 lengths while for a National Hunt race it is 30 lengths. This also applies should only one horse complete the race. Distances under a length are recorded as follows: Nose = of a length, Short head = of a length, head = of a length, neck = of a length, half a length = of a length, three-quarters of a length = of a length.
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With the Distance setting, you can specify a distance range as required. Your selection will limit the query to races that fall within the distance range chosen.
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.
In an extended edition of the Timeform Knowledge, Simon Rowlands explains how Timeform analyse overall race times.
Previous modules in The Timeform Knowledge have dealt with form ratings: that is, assessments based on the result weights carried, margins between horses etc of the participants at the finish of a race.
But there is another important component of a race result that has not been mentioned so far, and that is time. A race goes to the horse that runs from A to B fastest.
All is not lost, however: far from it. It can be difficult to gauge just how good a race or a performance was in isolation, even with the help of the handicapping processes referred to previously.
Measuring such things against an unchanging benchmark — time itself — has clear benefits, though putting this information into its proper context is the tricky bit.
Only good horses can run good times, but both good and bad horses can run bad times. Usain Bolt is capable of running subseconds for metres, but he could, if he wished, jog the distance in 20 seconds.
By running it in 10 seconds, he shows he is a good athlete. If you fancy showing the same, you can try to do likewise! In order to compare times between different horses, at different distances, and even at different courses and in different eras, you need to come up with benchmarks of time performance.
An adjustment for the apparent state of that surface can be inferred from the differences between those standard times and the times actually recorded on a card.
It is not the intention to go into detail here about how to compile standard times — that might fill a modestly-sized booklet — other than to say that past races at a given course and distance need to be adjusted for the context in which they were recorded and then analysed statistically.
Times are not normally distributed one consequence of its being easier to run slowly than quickly so records and averages are unsuitable as benchmarks.
Once having established standard times, however, the difference between a time recorded and this standard time tells you something.
The first step is to adjust this time differential to a fixed measure of time Timeform uses 60 seconds , then to convert that difference into pounds Timeform uses 25 lb per second at 60 seconds, giving the constant Notice how winning distances are similar for the GS, G and GF categories, wheras for Soft and Heavy Going winning distances are quite different.
There is also a non-linear relationship between winning distance and Going as Trip increases in distance. We know from Table 2a that few races take place on Heavy going.
As a consequence excluding these races, rather than amalgamating with the Soft going category, will improve the balance of the analysis that follows.
On average winning distances are higher in Low Class races. Graph 2 below shows median winning distance by Trip by Race Class.
The relationship is linear with trip for Low Class races. For High Class longer distance races the median winning distance is lower than for mid distance races.
This is counter intuitive. It could be explained by High Class long distance races being run at a different pace — more of a crawl and sprint, resulting in compressed winning distances, rather than an end to end gallop.
Winning distances are higher in Small Field Size races. Graph 3 below shows the median winning distance for Small and Large Field Sizes.
It is possible the Field Size and Race Class winning distance effects are related due to the high relative proportion of High Class races with Large Field Sizes.
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A common mistake is people trying to run similar margins for flat racing as they do for National Hunt. The races on the flat are much shorter, so you need to bear this in mind.
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. Daily Racing Form.
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