I don't know anything about VDW and don't claim to but, regards to the Ability Ratings list you provided, is there no recency bias applied to it? Annaaf for example, it's been a few years since he was winning good races consistently (he did win in October last year @ Ascot) which I'd imagine he'd be aimed at again this year. But there have been many a case of good horses winning races in their younger days but, then not performing anywhere near that level again?The Portland result shows that a consistent class/form horse can do well, but also the risk when in VDW terms there are so many better horses in the race; unsurprisingly one of them won.
That was a great pricebelieve it or not i got11/4 last night too
I certainly gave Airforce One a good look. The win at York was very comprehensive and finally this year he has started to deliver in better races. End of the day I tried to stick with the group races which was a major mistake. Too many races some days and a pile of crap on so many others.I think the there to much put on the ability rating all we want to do say like big race like the portland today although hopefully easier races to do with but all the ratings do is say like all the rating you had is get rid of all the poor horses thereDuckandDive had 3 of first four in top 7 horses so really trying to cut it down to a manageable amount to study. As you said T Tufnel mostly the last two races do that for you i think thats why he said better races i think so easy to see horses who have never done it we seen one today in big race of appelby had just won 7k novice now won the big one so these races must be left as where looking at the big handicaps worth money and form say 40k race just go through them kick out anything thats not i would not say win but run close in say 30k race thats the field split into ones that can win it and ones that could improve and win it. Now field down to manageable size if not cut the prize money or distance beat to get maybe 4 good size to know possible winners then from there its clean slate not this one is above this or vice versa and see what the race suits and if nothing sticks out its no bet or does its bet there no keeping using data to get to selection its pure form study, i think a lot could not saying would but could have ended up with winner today in portland. Just look at winner today was 52k had just won a 70k race same class clearly improving so was fair to say could handle the extra mark.
I have built a decay model in AI for excel. Will post it indoors over the next few daysT Tufnel Was just getting a shopping list of things to consider on a model I am working on and this came up in support of what you just said on age of ratings - no data to support as just chewing the cud as it were:
Rating Decay: When is a Rating Too Old?
Ratings do not hold their value indefinitely. The predictive power of a rating operates on a strict decay curve based on the physical realities of the animal.
- Peak Predictive Window: The most statistically accurate predictor of today's performance is a rating achieved within the last 30 to 45 days.
- The Flat Racing Cut-Off: In Flat racing, any rating older than 365 days (12 months) is generally considered statistically invalid as a primary data point. A horse's physical maturity, cardiovascular efficiency, and physiological health change significantly over a year. A peak rating from two years ago is historical trivia, not a reliable betting metric.
- The National Hunt (Jumps) Variance: Jumps horses mature later, run less frequently, and often target the exact same races year after year. While a 12-month cut-off is still a standard baseline, ratings up to 18 months old can occasionally retain statistical relevance, particularly if the horse is returning to a specific track and distance where it previously peaked.
- The 3-Year-Old Transition: Ratings achieved by a 2-year-old are notoriously unreliable when applied to their 3-year-old season. Horses physically develop at vastly different rates during the winter of their 2-year-old year, meaning a high rating from the previous autumn often fails to carry over to the spring.
That will be interesting to see - thank youI have built a decay model in AI for excel. Will post it indoors over the next few days
I am interested in doing something similar with OR's. Do you use regression at all?My own approach to ability suggests not very likely at all, as illustrated by the attached chart.