I'll put them up
S
simon boardman if
T
tony spencer does not mind although the effects of weight in handicaps have been done numerous times on this forum by various members including myself. The effect of weight within Handicaps are shown to be perfectly linear when measured over a relative enough sample size and that the metrics used in measuring are stable and also contain an element of
granularity. The much used "rate" statistic of "Win%" takes time to stabilise and if it was for example First Season Sires we were trying to project then we would need something stronger than plain old "Win%" - we know from looking at past seasons that a sire's strike rate tends to start to stabilise around the 600 run mark and regress to around 11.5% so a better way to project how First Season Sires will perform into the future would be ((First Season Sire Runs*First Season Win%))+(600*11.50%)/(First Season Sire Runs + 600) - so a current FSS with say 95 runs and 22 wins for a SR of 23.16% would be "smoothed" out to 13.09%. These kind of techniques tend to make better projections than using the current low sample volatile win strike rate. The measurement process which has now become "xWin%" where the small x = "Expected" should be stepped and involve "time-series" so it would be an ongoing process with results and performance updated within pre-set intervals of time and the confidence in the projection increasing within that
time - that sire may indeed be well above average and be the new Galileo but right now it's highly unlikely he will continue to win at the current rate.
Thankfully we don't have this problem when studying the effects of weight within Handicap racing. These races now account for ~70% of our programme in the UK so there is a ton of data. I won't bore folk about my views about whether weight "matters" but one only needs to study racetimes to see that it does. The results we see when looked at by "weight rank" or "ORRank" to me not only shows that weight matters very much but also that it does not matter enough to those in charge in allotting weight.
The antiquated "weight for margin" scale set within the days of the Old Admiral Rouse has not changed very much up to present day but there is convincing evidence that this scale (usually starting ~3 to 3.5lbs per length at ~5 furlongs) is marginally inadequate. Now if the official handicappers are around a lb to 1.5 lbs per length shy in assessing horses overall (and this is the magnitude of the inequality of the handicapping system where instead of 3lbs per length at 5f it should be ~4 to 4.5 lbs per length) then this precisely would lead to the superior horses winning much more than their fair share. And they do. Not only is "Win Strike Rate" or Win Place Strike Rate" perfectly linear as you go up or down the weight ranks but more granular measurements such as Win Impact Value and both PRB & PRB^2 are too - as you would expect if a "weight for margin" scale was marginally inadequate.
Results of UK FlatTurf/AW Handicaps since 01.01.2010 to current day by "Weight Rank" in two splits
01.01.2010 to 31.12.2017
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& 01.01.2018 to 29.09.2026
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Between the two splits even using Betfair data rather than the "overround ridden" Industry ISP shows how volatile measurements such as Win Market ROI are and should never be taken as gospel if conditioning models on that variable.
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Perhaps a study of various "pre-race" factors shows how this bias and it's effects within the handicapping system actually work in terms of "frequency" down through the ranks from "top-down" and might be better in moving the conversation forward. Here i've used the latest more recent split of race data (01.01.2018 to yesterday) - the old adage that "weight" & "handicaps" being a leveller/equaliser could not be further from the truth but is this the result of a self fullfulling prophecy type system where the rewards for superior animals are much greater than the penalties/price paid for running well (inadequate weight for margin scale) ???
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cheers
Rob
PS - I see peeps think that larger framed horses should carry weight better than smaller animals.
Could this be "inferred" pre-race by a measurement such as "average stride length" from past races
such as this ?????
Note the data used here was calculated as "PRE-race" not "IN-race" using PAST race stride/sectional data.
Have added a distribution tabe showing the %'s of horses with number of past sectional/stride runs.
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