Tag Archive for: early season trainer form

How to Play the Early Days of the Flat Season

The excitement of a new flat turf season is upon us once more, as we look forward to the Brocklesby, the Spring Mile and of course the Lincoln tomorrow at Doncaster. But that buzz can quickly give way to head scratching as we start to ponder which horses that have been absent for most of 200 days might be fit enough on this first spin of the year.

Here are two or three thoughts that might help with sorting the not today's from the ready's in our quest for some extra, erm, readies...

Trainer Form

How can we know if a horse is fit? Some talk about trainer form, either historical at this time of year or recent in the past few days; and it's not unreasonable to think in those terms. But a hitch at home - say a gallop getting washed away, or a problem with a high pollen crop in a nearby field - can upend history and delay a trainer's team for a few weeks.

Meanwhile, recent form cases are often built on the basis of just one or two runners which, while better than zero, is a very flimsy sample size.

Combining the two may be better than relying individually on either; and trying to squeeze a bit more meaning out of small samples by using percentage of rivals beaten (PRB) rather than win, or even place, strike rates seems sensible, too.

Here's a list of trainers who traditionally hit the turf flat season running: this group has 50+ UK flat turf runners in March/April across the past four seasons and an Impact Value of 1.25 or higher, and they're ordered by win strike rate.

 

Early Season Trainers: those who hit the ground running

Early Season Trainers: those who hit the ground running

 

It's no surprise to see Charlie Appleby at the top of the pile. We can either disregard Mark Johnston or consider combining son Charlie's form into the mix - personally, I'll ignore that row. William Haggas and Charlie Hills appear to be fast starters and potentially offer a small bit of value; whereas the quick from the blocks efforts of Team Gosden and Sir Michael Stoute are undone for us punters by typically short prices when they've won.

Further down the list may be where the more interesting characters hang out. The likes of Eve Johnson Houghton and Ben Haslam and Jack Channon are worth drilling into a bit further.

This second table is taken from the Trainer Statistics 14 Day report, with 5+ runs and a PRB of more than 0.55.

 

Trainers in recent good form and with runners at Doncaster

Trainers in recent good form and with runners at Doncaster

 

There is no crossover between the tables; no trainer appears in both tables. Karl Burke was just off the 14 day table, with a very good PRB of 0.55; and Julie Camacho was just off the early season four-year form table with an IV of 1.24. Burke has six runners at Donny on opening day, all fancied, and Camacho has just Lattam in the Lincoln, also well enough found in the early market.

You can draw your own inferences from the tables, but a couple of observations from me:

- Keep an eye on the runners from the Haggas yard tomorrow. Are they well supported? Did they run with credit, even if not winning?
- Ditto Charlie Hills. (fwiw - nothing at all - my one token interest in the Lincoln is on his 33/1 rag, Galeron, so I'll be watching keenly enough)
- We know horses from the Clive Cox, Marco Botti and Jennie Candlish yards are running very well at the moment
- A few other names on that list - Kevin Frost, Richard Hughes and your pick from the rest - are worth noting, too.

 

Here's another way of looking at trainer form...

 

Slow starters and expensive from an ROI perspective

Slow starters and expensive from an ROI perspective

 

This table comprises eight trainers who tend to start on the turf slowly. They all have a pretty painful ROI, too, with the possible exception of Phil Kirby. Tim Easterby has actually saddled 26 flat winners on the turf in March or April since 2021, but they've come at the expense of 423 non-winners. And an ROI of -51%!

These are all good trainers, but for differing reasons they tend to fare poorly in the early weeks of the flat turf season. (Note, any one of them could have a magnificent month, caveat emptor, small samples, etc).

Here's the 14 day trainer form table similarly flipped on its head and sorted by percentage of rivals beaten (PRB), lowest at the top:

 

Recent middling form

Recent middling form

 

Are these trainers to avoid? Probably not, at least not solely on the basis of the table above. But theirs might be horses to have a question mark against unless you really like the rest of the profile. Again, I'm not saying they can't win - duh - but I am suggesting I'll personally be a little less forgiving when trying to frame a case for any of these.

In summary, trainer form is much more nuanced than "Charlie Farley had a winner yesterday so he's in form". Combining longer-term early season performance with recent evidence based on PRB might be a good way to get a better handle on the subject.

Price Movement

A much shorter section here. How can we know if a horse is expected to run well? Look for the blue on the odds grids! This is actually not a terrible strategy in general, but at this time of the year - when punters not connected to stables must take fitness on trust - the markets are a really helpful barometer.

The problem with betting 'blue' horses is that by definition we've already missed the price. Furthermore, it is often the case that such horses drift back out again closer to the off - those subsequent drifts do not stop horses winning!

I religiously check the odds grids at this time of year, especially for less obvious horses which I then try to 'reverse engineer' a form case around.

The Geegeez ODDS tab only starts to show blue (shortening) and pink (drifting) from 9am on race day. We deliberately ignore the cheap moves overnight, before BOG (for those who can get it) comes in and at a time when a very small amount of money can move a horse's price materially. You can still see that price movement on our grids by clicking the little coloured chart icon:

 

 

That will open a window displaying either a table or graph (it remembers which one you last looked at), as follows:

 

Table view of odds movement since first show the night before

Table view of odds movement since first show the night before

Note that we also don't clutter up the table with millions of rows showing tiny odds moves back and forth - who needs or wants that? Instead, we publish a couple of overnight price rows, then a morning (7am) row, and then hourly from 9am, and then every 15 minutes from one hour before race time when prices may fluctuate more meaningfully and frequently.

In my opinion, that's a much better digest of the price movement of a horse or race, and a lot easier to absorb.

Here's the graph view:

 

Odds chart, configurable to view all or some runners; and best or average price change

Odds chart, configurable to view all or some runners; and best or average price change

 

There's a bit more going on here with various configuration options. You can vary the start of the time period, choose average odds or best available, and add/remove horses from the view. Hovering over any line on the chart will display the odds for all chart lines (runners) at that point in time.

It's really useful and, if you're not currently using this tab, I'd recommend you start doing so.

What else?

What else should we consider at this time of year perhaps more so than generally? Well, one to think about is the influence of draw and run style. I've written about this ad nauseum, as has Dave Renham. You can check out much of our work by typing 'draw' or 'pace' or 'run style' into the search box on this page.

Specifically for tomorrow's big mile handicaps, the Lincoln and Spring Mile, the draw chart looks like this (16+ runners, between good and soft, handicaps):

 

Doncaster 1m handicaps, 16+ runners good, good to soft or soft, 2009+

Doncaster 1m handicaps, 16+ runners good, good to soft or soft, 2009+

 

The main blue line represents PRB3 (the average percentage of rivals beaten of a stall and its immediately neighbouring stalls - so, for stall 3, it's the average PRB of stalls 2, 3 and 4). This is a way to flatten out any daft-looking outliers and attempt to make things vaguely meaningful.

50%, or 0.500, is a figure meaning runners from a stall were beaten by as many rivals as they beat; so more than 50% is positive, less than 50% is negative. Positive meaning can start to be implied at around 55% (depending on the size of the sample) and negative at around 45%.

What is noteworthy from this chart, then, is that virtually the entire line exists between 0.45 and 0.55. One might argue that close to either rail is a positive - as it often is at many courses in huge field straight track races - and that right in the middle is no man's land. Having said that, here are the winning stall numbers of the Lincoln and Spring Mile since 2013, in numerical order:

1
1
2
3
3
3
4
4
5
6
8
10
10
12
15
15
15
16
17
20
21
22

You can win from anywhere, but the middle third has had the toughest time of it overall.

At this time of year more generally, keep an eye on any potential changes to draw biases: there can be a small edge before the market fully catches on. For example, when Chester introduced a false rail on the bend into the straight it reduced (though failed to eliminate) the inside draw bias. That was an opportunity to get solid value on wider berthed horses whose win chance was a little underestimated. It still is to a small degree but, like everything in the dog eat dog world of punting, the market corrects soon enough.

Keep an eye out for the next material change.

And finally...

I had hoped to share a major new addition ahead of the start of the flat season, but it's not quite ready. We should have it online next week and, without explicitly stating what it is, here's a sneak preview - you'll be able to figure it out!

 

 

 

 

 

Good luck with your flat season play. Obviously, geegeez has you increasingly well covered - check out our brand new whizzy bangy sales letter if you're not yet on board and see if there's anything that can maybe help you (hint: there is!).

Matt

Early Flat Season Trainer Form

After the thrills and many spills of the Cheltenham Festival attention now turns to the start of the turf flat season, writes Dave Renham. Saturday 29th March is the starting date this year and the crowds will descend on Doncaster for a card that includes the first big handicap of the season, the Lincoln. In this article I am going to look at some early season trainer form and trends. Data are taken from 2019 to 2025, although in 2020 there was no flat racing in the early part of the season due to Covid.

Selected Trainers: First Ten Runs

We see in the racing press plenty of stats connected with a trainer’s recent form, be it the last seven, 14 or 30 days, or their last ‘x’ number of runs. For some punters this information is really important and forms an integral part of their selection process. With that in mind, one question I am keen to address in this article is connected with recent trainer form. I want to try and establish whether the first few runs of the season from a particular stable is indicative of how their runners perform up to the end of April. Also, I will be looking at whether a similar level of performance each year is achieved by trainers up to the end of the first full month of the season. I just would like to clarify that the data shared in this piece has been collated starting from the day of the first turf flat meeting through to the 30th April in each season.

In order to make this piece manageable I have decided to focus on a selected group of trainers who tend to have a good number of entries in the early weeks of the season. This includes some of the big guns, namely Charlie Appleby, William Haggas and John/Thady Gosden.

My starting point was to work out the PRB (Percentage of Rivals Beaten) figures for each trainer over their first ten runs of each season. I felt that using the PRBs would be the most accurate way of determining how well a stable was performing over those ten runs. Clearly, I could have used win strike rate but over such a small sample size we could potentially get a blurred picture of how well the horses are actually running. Here are my findings.

N.B. I have combined the figures for the Johnston stable although of course Charlie Johnston is now in sole charge:

 

Early Season Trainer Form: Selected trainers' PRB figures

Early Season Trainer Form: Selected trainers' PRB figures

 

Before doing a comparison with their records up to the end of April for each year, the table does highlight that we cannot guarantee exactly how well each stable will get out of the blocks each season. Taking Richard Hannon as one example, in 2023 his first ten runners of the turf season hit a PRB of only 0.46, but last year in 2024 it was up at a huge 0.83. Likewise, the Johnston stable has seen wide variances with three PRBs below 0.35 and two hitting 0.65 and above. Now of course ten runs is a small sample but by using PRBs it does give us a better idea of the very early form of a specific stable compared with other metrics. I believe the numbers shared in this table also help to highlight that each year is different and even if stables traditionally start the season quickly, there will be years that for whatever reason things will progress more slowly. And of course, vice versa.

Selected Trainers: To End of April

Let's now take a look at the annual PRBs for each trainer covering the start of the turf flat up to the end of April. Essentially, for most years this equates to roughly the first five weeks of the season.

 

Early season trainer form: up to end April annually

Early season trainer form: up to end April annually

 

As might be expected, fluctuations year by year in the PRBs are now less pronounced due to the much bigger datasets, although two of Charlie Appleby’s figures differ quite markedly - from 0.81 in 2022 down to 0.63 in 2024. Likewise, the Gosden stable saw a big difference between their 2019 figure of 0.71 and their 2023 one of 0.51.

Now that we have these two sets of figures we can try to address the earlier question of whether the first few runs of the season from a particular yard are indicative of how their runners will perform up to the end of April. In order to do this, I have picked out some of the trainers to analyse in more detail.

 

Specific Trainers: Early Season Form

Charlie Appleby

If we look at Charlie Appleby’s performance with his first ten runners in 2019, 2022 and 2024 we can see he has quite well aligned PRB figures (0.62, 0.64 and 0.66). In 2019 and 2024 he maintained a similar level of performance up to the end of April hitting 0.66 and 0.63. However, in 2022, his PRB figure for the longer timeframe soared to 0.81. That year he had 23 winners from 55 runners up to April 30th equating to a strike rate of just under 42%. From those similar starting PRBs in 2019 and 2024 he managed a longer-term strike rate of 29.2% and 29% respectively. It is difficult to say why those early five or so weeks of 2022 panned out so well for the stable compared with 2019 and 2024 when they started off in the same vein. It perhaps underlines how challenging it can be to predict future trainer form based on a smallish sample of runs.

 

Mick Appleby

Next for the microscope is Mick Appleby. The graph below shows the comparison:

 

Mick Appleby: early season form, 2019-2024

Mick Appleby: early season form, 2019-2024

 

The graph shows that Appleby has been consistent in terms of overall performance in the weeks up to April 30th (the orange line) - four of the five years saw PRB figures within a very small band ranging from 0.44 to 0.46. In 2022 he did have a better overall start to the season hitting 0.53 over those first few weeks, and that year he had started fast with a 0.63 figure for his first ten runners. The 2023 season saw an even better start with a 0.66 10-run figure, but that form tailed off quickly ending up at 0.46 for the longer time frame. Looking at this data tells me that the first ten runs of the year for Mick Appleby would not necessarily have given us a good guide to how the next few weeks would have panned out for his runners.

Going back to his PRB figures for all runs up to 30th April, despite having similar ones, the correlation with the win strike rates is not completely ‘positive’ as the graph below shows:

 

Mick Appleby: early season win strike rate comparison

Mick Appleby: early season win strike rate comparison

 

Yes, the best year was 2022, (16.1%), which correlates with the highest PRB figure of 0.53, but there is a big variance between 2019’s strike rate of 14.3% compared with 2023’s 3.2% figure. This is despite having very similar PRB figures in those two years (0.44 and 0.46 respectively).

As with all metrics, any single one does not necessarily give us the best picture. Clearly in 2019 and 2023 the Appleby runners were generally running at the same level overall – the PRB figures show that. However, in terms of winning races 2019 saw many more winners than 2023.

This type of number crunching is an excellent reminder of why racing can be difficult to profit from. Let’s imagine for example we back 20 horses to win in one month, if all of them run really well but all finish second, we still would have lost all 20 bets.

 

Andrew Balding

Next is Andrew Balding. Again, I have graphed the comparison between the PRB of the first ten runners with that of all runners to the end of April each year.

 

Andrew Balding early season form: comparison of first 10 runs with all to end April

Andrew Balding early season form: comparison of first 10 runs with all to end April

 

2021, 2022 and 2023 mirrored each other with both the 10-run PRBs and the all runs to end of April PRBs very close together. In 2019 and 2024 we saw a similar pattern, with the stable flying out of the blocks in those first 10 runs and then slipping back to more normalised figures based on a larger sample.

When looking at those early weeks of the season up to the end of April, Balding does tend to perform at a similar level year on year. If we look at his win strike rate from the start of the season up to the end of April, we can see that in four of the five years they were between 17 and 19%:

 

 

There is positive correlation between the PRB figures and the win strike rate in those four years. We saw earlier with Mick Appleby that we don’t always get that positive correlation, and for Balding the 2022 figures paint a similar story. That year saw a lower strike rate despite a similar PRB figure to other years. This highlights once again why it is a good idea, where possible, to look at more than one metric when analysing a set of results in order to get a broader and better overview.

Tim Easterby

Tim Easterby has a lot of runners but his overall strike rate year on year is quite low, both early in the season and taking the season as a whole. Hence his first 10-run PRB figures are the lowest of the trainers mentioned taking the five years as a whole. 2022 saw a poorer start than usual but, by the end of April, he had pulled back to very similar five-week figures as achieved in other years.

Looking at his PRBs for those early weeks up to the end of April, we can see that there is only 0.04 between the highest and lowest ones. Essentially, at the beginning of the season, Easterby has followed a similar pattern every year with similar outcomes. Not surprisingly his win strike rate up to the end of April each year has been low as the table shows:

 

Tim Easterby early season win strike rate

Tim Easterby early season win strike rate

 

Personally, I rarely back Tim Easterby horses even if they appear to have ticks in several boxes. For me, finding good value in his team is tricky. On the plus side, his patterns of performance rarely surprise us.

 

William Haggas

William Haggas has had very consistent longer-term PRB figures (up to the end of April) ranging from 0.60 to 0.67 over the five different years. His PRBs for the first ten runs are more varied as we would expect given the smaller sample size. However, it seems that, year on year, runners from the Haggas stable perform in a similar fashion. Again though, the win percentages up to the 30th of April have varied much more as the table shows:

 

William Haggas early season metrics

William Haggas early season metrics

 

As we can see, the two highest PRB figures of 0.67 in 2019 and 0.64 in 2023 did not produce the two highest win rates. In fact, they produced the lowest win rates by some margin. 2019 was definitely unlucky for Haggas in those first few weeks as they had 12 second places from their 42 runners that year. Against that, Haggas had only six winners hence the 14.3% strike rate. We talk about luck in racing, and regardless of how good a punter one is, luck and variance are ever-present, sometimes massively.

I would not worry too much about what sort of numbers Haggas posts after his first ten runners this season. We can be fairly confident that his team over the first month or so will run to a similar level to previous years. Whether they win at around 27% or 14% I cannot say, but for readers that back any of his, let’s hope it is nearer 27!

 

Richard Hannon

For Richard Hannon I want to compare the two sets of PRB figures side by side as I did for Mick Appleby and Andrew Balding.

 

Richard Hannon early season PRB figures

Richard Hannon early season PRB figures

 

The orange line represents the longer-term figures up to the end of April and, aside from the 0.47 figure for 2022, the rest lie between 0.51 and 0.59 showing that Hannon's runners perform at roughly the same type of level at this stage of the season year on year.

What I find interesting is the difference between the first 10-run figures for 2023 and 2024, which was huge. 2024 was his best start at a massive 0.83 PRB, 2023 was his worst at just 0.46. However, by the end of the first month although 2024 ended up ‘better’ in PRB terms, the gap was quite small at 0.06 (0.57 v 0.51). Indeed, looking at the win percentages for these two years there was less than 2% in it. 2023 saw a 10%-win rate, 2024 stood at 11.8%.

This is another reminder that looking at a handful of races may not be as important or as useful as some punters/pundits may think; and I am not just talking about the first ten starts of the year. It is essentially the same thing when looking at any 7-day trainer form snapshot throughout the season when a trainer has had ten runners or so during that period. Is that really a reliable enough sample on which to judge how the next few weeks are going to go for the yard in question?   

 

Charlie Johnston

The final yard I want to look in more detail at is that of Charlie Johnston (and its recent incarnations), formerly run solely by father Mark, then by Mark and his son Charlie, and since 2023 by Charlie on his own. Here are the two sets of PRBs:

 

Charlie Johnston / Johnston yard early season form

Charlie Johnston / Johnston yard early season form

 

I mentioned earlier the huge variances in their opening 10-run figures (the blue line), but despite that the longer term PRBs are all in the same ballpark lying between 0.50 and 0.57. I don’t think the performance of the first ten runners will be that relevant again this year when it comes to predicting what will happen in the subsequent weeks to the end of April. However, we can be fairly sure how they will perform over the longer five-week time frame.

*

Selected Trainers: Win Strike Rates to end April Annually

To finish off let me share the win strike rates for all trainers for each of the five years based on their runners from the start of the turf season to the end of April:

 

Selected trainers: early season win strike rates 2019-2024

Selected trainers: early season win strike rates 2019-2024

 

These percentages can vary markedly year on year, as I meantioned earlier when looking at the performance of the Haggas yard. Luck plays its part for all trainers every year, be it good luck or bad. A few bobs of the head in a finish can make a big difference to the win rate; hopefully Geegeez members will be on the right end of tight finishes more often than not!

That is almost it for this week but for before closing I will put my head on the block and predict the win strike rates and PRBs for all of the stables mentioned in this article from the start of the Doncaster Lincoln meeting this year to the end of April. Here goes:

 

Projected early season win percent and PRB figures for selected trainers

Projected early season win percent and PRB figures for selected trainers

 

Hopefully, most of these projections will be close to their mark.

Until next time,

- DR