“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. 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. Buccaneer's sire was the handsome Wild Dayrell, a winner of three races in four He was a fast horse, and his best distance was a mile, although he got up to.
Timeform Computer Timefigures explainedDate, RC/Track/ Course, Dist. G, Race Class, Dr. Rtg. Trainer, Jockey, LBW, Win Odds, Act. Wt. Running Position, Finish Time, Declar. Horse Wt. Gear, Video. “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. 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 Winning Distances KEMPTON (AW) VideoHorse Racing Winners (How To Find Them Fast)
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.
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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.
You generally find that races that are closer in price are closer at the finish. You can then take your default race distance and decide if it will be less or more.
In this case, it will likely be less. They are likely going to go on to win by a considerable distance as well, so you can use the odds to determine that this race might be higher than the default distance.
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. 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. 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 This can be seen in action by comparing the three races at a mile and a half at Epsom on Derby Day Golden Horn ran fastest, with the result that his time is the largest amount below standard time in terms of pounds, while Blue Surf ran slowest.
However, it is not enough to know just this. What you need to know is how fast those times are compared to a time that could be expected of a horse in the circumstances.
That is, you need to allow for the apparent abilities of the horses in question and the weights they were carrying Timeform compares this to a weight-for-age scale to offset immaturity.
And you should expect a rated horse to run 10 lb faster in time terms than a rated horse when both are carrying the same weight.
The difference between expectation and reality will tell you something. The resulting figures indicate how fast those raw times were compared to the abilities and weights carried of the horses concerned, with the lower the figure the better.
It is worth taking a while to familiarise yourself fully with those steps — actual time, compared to standardised time, converted into pounds above or below that standardised time, then normalised for weight carried compared to weight for age in the examples given and ability.
By adjusting those times for weight carried and ability, we get figures which show how quickly the winners ran compared to expectation, with the lower the figure the better.
Thanks to standard times — which indicate what horses of the same ability, carrying the same weight compared to their maturity, should be capable of achieving under different circumstances on a standardised surface — this can be extended to all races on the card, regardless of the distance over which they were run.
That seems a reasonable basis on which to proceed. On a basic level, that may be all you need to do. But that should really just be a starting point for closer inspection.
It could be that it is worth taking an even higher view of the form of the winners with the fastest times relative to their perceived abilities, for a fast time may indicate that you have sold that ability short.
And if you take a higher view of the fastest, the remainder will rise in line with that. Furthermore, while standard times allow for precise comparisons between races run at different distances, and even on different courses, that applies generally: in given circumstances, other factors may be at play.
Round courses and straight courses can have apparently different going and need to be dealt with on a pro-rata basis, according to how much of a race took place on one or the other.
Incidentally, that minimum value 69 in the table represents something else important: it is the rating a horse would need to run to, in a truly-run race, carrying 10st 0lb or the weight-for-age equivalent, in order to equal standard time.
Those are the time-based figures for the winners, of course. How do you get the same for the horses those winners beat? The same calculations as for winners are performed on beaten horses, whose individual times have been engineered from the time of the winner and the official margins back.
As we know the winner recorded Analysis of overall times can be very useful and almost useless, depending on circumstance, but analysis of a whole card will always tell you something meaningful.
A slow time may mean nothing more than that the race was run in a manner which produced slow times. That — the effect of pace on times — is the province of sectional timing, which will be the subject of the next in this series of The Timeform Knowledge.
Free bets valid for 7 days, stake not returned. A simple example of this could be that the horse has raced 25 times yet all of its 4 wins have came on the same distance.
Alternatively a trainer may have decided the horse needs to compete over a longer or shorter distance based on how it has raced.
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.
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.