# The Class & Weight Differentials

## Introduction

The Differentials are a very strong aspect of UK Horse Racing's Ratings.

In a nutshell:
Differentials indicate whether a horse is rising or falling in either weight or class.

The more a horse drops in class, or weight, the greater the positive differential. The more a horse rises in class, or weight, the differential becomes more and more negative.

This is because a horse whose class differential is positive is deemed to be running in a lower class race than before and, thus, this is seen as a positive. A horse going up in class, to face a tougher set of opponents, is going to have a negative differential.

The same applies to a horse given more weight to carry. In this situation the weight is lower than what its had to carry in the past so this advantageous situation gives it a positive weight differential. A horse lumbered with more weight is going to have a negative differential."

Like most of the UK Horse Racing ratings, the guideline is quite simply Bigger Is Better.

## Calculating The Differentials

The mathematics behind the Differentials is ever so simple. All one does is to compare the Race Class against what the horse has run in before. This equally applies to calculating the Weight Differential, but for this example we're looking at the Class Differential.

Do note, though, that Race Class is a figure describing the quality of the race's entrants by UK Horse Racing, rather than the figure given by the British Horseracing Authority (BHA).

If a horse is entered, say, in a Hurdle race which we rate as Race Class of 100 and the horse has run in previous hurdles rated 102, 104 and 108 then it's clear that the horse is dropping in class. This is the essense of the Class Differential figure.

Previous Races Average - Today's Class = Class Differential

In this example the average of the Race Class figures is calculated, which here would be 104.67 and subtracting today's Race Class of 100 we end up with 4.67.

e.g. (102 + 104 + 108)/3 - 100 = +4.67

Any horse which is falling in average Race Class, as in the above example, is said to have a positive Class Differential, whilst a horse running in a race whose Race Class is higher than the average of its previous races is said to be having a negative Class Differential.

Or to put it another way, as we've said earlier: Bigger is Better.

## Where Is The Data Found?

### Class Differentia Data

Each race that is run is given a Race Class figure. This figure can be seen on the top of every race's rating and within the Daily CSV file. In the CSV file it's the fourth column, Column D.

This illustration of both the PDF file and the CSV may help.

This screenshot is straightforward enough and shows quite clearly where one can read the Class value of the race.

For those who don't know how UKHR works, the Class value is determined by the strength of the a horses within a race. Therefore, if a race contains a number of good horses then the Class value for that race is going to be bigger than that of a race with a poorer collection of horses.

## A Bit of a Caveat

Of course, a horse with an positive Class Differential or, indeed, a positive Weight Differential need not always suggest a good thing.

The principle of a horse with a good solid positive Differential is a sound one. But do also consider that the horse may be utterly useless and is simply being handicapped with a lower and lower figure and is falling through race classes and weights in the vain hope that the thing may actually win a race one day. Some horses simply get 'past it' and just won't win ever again, even though the Differentials look fantastic.

### Differential Calculation Range

This section was added on the 11th May 2013.

When this page was initially written the time interval inspected for every horse was five years. So, if a horse runs today then the Class Differential is calculated from its run over the past five years.

Since then a request has been made that we ought to also make the data avaiable for the class differentials for over the past year. The idea being that we can see if a horse suddenly goes up or down in weight or class significantly.

The Five Year Class Differential is still known on the forums and on the rest of the site as "The Class Differential" but it ought to be remembered that when 'Class Differential' is discussed it's the Class Differential over five years. Anything which is calculated over one year will be explicitly defined as so.

In the daily CSV files and also in the Archive CSV files the Five Year Differentials are listed in Columns EL to FI, whilst the One Year Differentials are in Columns FV to GS.

### Other Differentials

There are other Differentials which can be used; the obvious one being the Weight Differential. This compares the average weight that the horse has carried in the past compared to today.

This is a good way to see, at a glance, how much extra weight is being carried and when one compares this with the Class Differential sometimes one can see one rise whilst the other falls. But sometimes when they both rise or both fall there's a good opportunity in either backing or laying.

And that's not the end of it. There are two more Differentials to consider. These compare today's Class (or Weight) figure with all the races in the past, as before, but only those where the horse has won. These Win Class Differentials are therefore different but it may help to indicate if a horse is within a previous winning capability. And, of course, we have the Win Weight Differentials too.

That's not as far as we can go. We can even look to see how the sum of the Class Differential and the Weight Differential. If both are positive, then we should really be looking at this horse for backing opportunities, and if both are negative we ought to look to see if the horse can be laid.

### Using The Differentials

Using the Data Analysis Tool it is clear that the Class Differential does give a strong positive or negative indication to a horse's chances.

It is to be remembered that all the Differentials show is that we have a horse which is running out of its previous Class or Weight bands. It doesn't necessarily mean that the horse will win, or lose, but it does give a strong indication that a horse is to be more, or less, fancied.

Because at UK Horse Racing we consider Race Class in a totally different way, arguably superior way, to almost everyone we can see horses which are rising or falling in Class when others cannot. Of course, we can't see a horse's change in weight in a different way but we can see Class in both a different and better light. We have seen horses coming from, for example, a BHA-rated Class 2 race into a BHA-rated Class 3 race and still, as far as we are concerned, the horse may be actually rising in class.

#### Example 1 - Stalls Bias

Let's look at a simple example. Below is a part of a Data Analysis run of horses which have run on the Flat, in Great Britain, from 2008 to mid-2012. All of these are running in what we have as good stalls bias (our 10% Stalls Bias indicator).

Stalls10pc GB Flat   (Betfair Commission: 4.80%)

Dates: 22/03/2008 to 31/05/2012

Wins      Runs    SR %      Lvl P/L

WIN:     All                       2,164    19,400    11.2       469.93

WIN:     Class Diff. <= -20            6        57    10.5        22.21
WIN:     Class Diff. <= -10           54       845     6.4      -242.01
WIN:     Class Diff. <  0            901     8,657    10.4       -52.51
WIN:     Class Diff. =  0            156     2,018     7.7       136.94
WIN:     Class Diff. >  0          1,107     8,725    12.7       385.51
WIN:     Class Diff. >=  10          108       984    11.0       -32.41
WIN:     Class Diff. >=  20            3        27    11.1         3.11

Fig 1. Stalls Bias 10%, GB Flat

This starts off rather well and is saying that every horse ran on the British Flat with a good stalls bias were to be followed then after just over 19,000 runs we'd have a profit of 469 points after having a strike rate of 11.2%. Do bear in mind that this is a real return price as it takes into account a Betfair commission of 4.8%.

That's all well and good, but look at the row with the Class Diff. < 0. Here we're looking at horses which have been raised into a higher class than they, on average, normally run. Out of the original 19,400 runners we see that there are 8,657 of these which are running in a higher class race.

How do these fare? Not very well, as it happens. The strike rate is about the same, a little lower, but the they make a small loss. That's having over eight and half thousand bets which are doing nothing except giving the exchanges commission fees.

This simple example shows how by excluding Negative Class Differentials we are improving our backing.

#### Example 2 - Tony-1 Backs

Here's another example, this time we're looking at the Tony-1 Backs.

Tony was a member who proposed a backing system which was later named after him. However, the one drawback that it had was that it ran to an overall loss if left alone. However, if one restricted these selections to those only where the Class Differential was postive then something extra-ordinary happens.

Tony-1   (Betfair Commission: 4.80%)

Dates: 02/11/2008 to 31/05/2012

Wins      Runs    SR %      Lvl P/L

WIN:    All                        5,983    24,328    24.6      -319.11

WIN:    Class Diff. <= -20            13        70    18.6       -11.51
WIN:    Class Diff. <= -10           152       745    20.4       -26.44
WIN:    Class Diff. <  0           1,915     8,755    21.9      -682.50
WIN:    Class Diff. =  0           1,244     5,148    24.2        65.55
WIN:    Class Diff. >  0           2,824    10,425    27.1       297.83
WIN:    Class Diff. >=  10           437     1,478    29.6       116.50
WIN:    Class Diff. >=  20            39       113    34.5        53.22

Fig 2. Tony-1 Selections

We see that by only selecting horses which are running in a lower average class, in other words, having a Positive Class Differential then we've turned a 319 point loss into a 297 point gain. This is a turnaround of 600 points by simply chosing horses with a Positive Class Differential.

#### Example 3 - "Blindingly Obvious Selection" I

There is something which we have termed, perhaps flippantly, "Blindingly Obvious Selections". Have a look at this extract from the Hexham 4.00 race (June 24th, 2012) to the right.

This example is one of many that I could have selected, but at the time of writing this was one of the more recent ones noted.

Looking at the top Class Differential list (page 54 of the Hexham 4.00) and two, or perhaps three, horses stand out in the Diff column. These would be Joe's A Boy, Lutin Du Moulin and, perhaps, Treehouse.

But if we look further to the right then we can see that Joe's A Boy has 0.0 in the 'W Diff' column. This can only mean that Joe's A Boy has never won a Chase before though because he has a good figure in the 'Diff' column he has clearly run in chases before and is dropping in Class. Treehouse has a figure of 6.2 in the 'W Diff' column so this means that the average Race Class that he's won in is better than today's. This is a positive sign.

But look at Lutin Du Moulin. Not only has his Class Differential given as 11.1 (which means he's running today in a Class eleven pounds 'better' than he has on average) but his Win Class Differeential is 12.1. This means that he's won chases which are, on average better than today's. That has to be seen as a huge positive.

If we look at the next table, the Weight Differentials, then we see that Treehouse has a negative Weight Differential. In other words he's carrying two and a half pounds (more or less) than he has on average and his weight today is 8.4 more than his average weight carried when he won previous chases. So, this has to be taken into account. Joe's A Boy is eleven pounds lighter today than average and since he hasn't won before in chases there's nothing, as expected, in the right hand columns.

Even though Joe's A Boy hasn't won before the fact that he's tumbling in terms of both Class and Weights he may well be entering his territory where he can win. But look at Lutin Du Moulin; he's got a positive Weight Differential of 10.1 pounds and a Winning Weight Differential of 7.7 pounds.

Lutin Du Moulin is now looking to be very interesting and just from these figures alone he is worth following. The other two horses may also be worth following but everything does point to Lutin Du Moulin being well placed for this race.

Though we can't see it here there are some other good indicators shown on the Summary Page for this race; Lutin Du Moulin is ridden by S Drake who with the trainer, C Grant, make a profitable combination. There is a positive indicator for the Distance Regression as well; in fact, it's the only horse with a positive distance indication like this .

So, what happened in this race? Treehouse and Joe's A Boy both were pulled up but Lutin Du Moulin won by 21 lengths at 20/1. The comments in the Sporting Life said "Tracked leaders, led 13th, soon clear, easily".

#### Example 4 - "Blindingly Obvious Selection" II

On the same day there was another Blindinly Obvious Selection; this time in the 2.40 Pontefract. For this example we're looking at Page 25 which is reproduced here to the left.

The top rated horse, Whatsofunny, was a non-runner, so that can be discounted right away (and it would have been, blindingly obviously, a selection in its own right) so we have to look at the rest of the field.

A number of horses with Positive Class Differentials do stand out here. But only two horses which have good positive Class Differentials have decent Weight Differentials.

Because the third table, the Average Class+Weight Differentials, is based on adding the two averages together we can see that two horses really spring out at us. The new top rated horse, Dansili Dutch is one who has also won Flat races at a higher Class+Weight too and also Miss Ella Jade which is rated near the bottom but has a good Class Differential and also a good Weight Differential.

Because Miss Ella Jade has 0.0 in the Win Columns of these tables it's clear that she's never won before but that massive fall in Class and Weight (15.0 and 10.5 pounds respectively) means that she has to be considered. But, without doubt the new top-rated, Dansili Dutch, has to be a selection because he's dropping in Class by 13 pounds, Winning Class by almost 17 pounds and Weight by 7 pounds. Her winning Weight Average is actually rising by a pound but given these numbers this can be forgiven.

It's clear that just looking at these tables that we have two selections; Dansili Dutch and Miss Ella Jade. It could be argued for Lady Advocate to be a third selection and no argument against would be given if it were.

So, what happened in this race? Dansili Dutch won by 6 lengths at 20/1. The comments in the Sporting Life said "Towards rear, headway over 2f out, went 2nd inside final 2f, ridden to lead over 1f out, edged briefly right and came clear final furlong opened 20/1 touched 22/1 ".

Apart from grabbing a good priced winner, the most satisfying part was listening to the pundits on William Hill Radio after the race, scrabbling around trying to find a reason, any reason, as to why this horse should have won as easily as it did. They failed to find a single good argument, but looking at our Class Differentials it wasn't so hard for us, was it?

What of Miss Ella Jade? Well, she came second at 40/1. Anyone with the foresight to back these two in an Exacta would, for their £1 stake, have walked off with over £1,100.

Updated: 11th May, 2013