[AusRace] Exponentialality - another way
Tony Moffat
tonymoffat at bigpond.com
Sun Jun 24 12:24:03 AEST 2018
The Equation
If you have a points system for rating horse races where the top pick
has a long-term strike rate of at least 22%, and provided that the
points are adjusted so that
the bottom pick has zero points, using the equation
a=b+((b*b*c)/(d-e))
to further adjust the points will provide a better approximation of
the chances of each horse in a race in relation to the other runners.
Where :
a = Horses adjusted points
b = Horses allocated points (after making bottom pick zero)
c = Skewing Coefficient
d = Highest possible score attainable (after making bottom pick zero)
+ 10%
e = Top pick score (after making bottom pick zero)
Now, let's recalculate the prospective dividends for a race applying
the equation.
Step 1 Make sure the bottom rated runner has a score of zero. In our
case it already has, so no further adjustments are necessary. But if
Horse F had say a score of
-200, then we would add 200 points to each of the horse scores. If
Horse F had a score of +200, then we would subtract 200 points from
each score.
The scores for Race 1 are therefore :
Race 1
Points
Horse A
1000.00
Horse B
800.00
Horse C
600.00
Horse D
400.00
Horse E
200.00
Horse F
0.00
Use these scores as b in the equation.
Step 2 Estimate the lowest rated runners chances of winning. In fields
of 11 runners OR MORE, this should almost always be 1%. As Race 1 is
only a 6 horse field,
but the scores are widespread, Horse F's chances could be estimated at
2%.
Step 3 Determine the highest possible score a horse may obtain (after
the adjustment to make the lowest score zero). And add another 10%.
Assume in our case
this is 2000 points. This is the highest possible difference between
the top pick and last pick and is d in the equation.
Step 4 Take the top pick score (after the zero score adjustment). In
Race 1 this is 1000 and is e in the equation.
Step 5 Decide on the skewing coefficient (c in the equation). This is
set according to the long-term system top pick strike rate. A setting
of 0.5 would be about
right for a 23% strike rate and perhaps 2 or 3 for around 28%. We
shall use 1. The skewing coefficient determines the amount of
exponentialality. This is why it is
increased as the strike rate improves. You may have to experiment with
the setting as both the coefficient and the chosen figure for highest
possible score
affect the amount of skew.
Step 6 Calculate the adjusted scores by applying the equation to each
score.
Horse A adjusted score
= 1000 + ((1000x1000x1)/(2000-1000))
2000
2000
2000
Horse B adjusted score
= 800 + ((800x800x1)/(2000-1000))
1440
Race 1
Raw Score
Adjusted Score
Horse A
1000.00
2000
Horse B
800.00
1440
Horse C
600.00
960
Horse D
400.00
560
Horse E
200.00
222
Horse F
0.00
0
Step 7 Now add up all the adjusted scores.
2000 + 1440 + 960 + 560 + 222 + 0 = 5182. To take in the estimated 2%
chance for Horse F, divide this total by 98% (i.e. 100% - 2%). 5182 /
98% = 5287
Step 8 Divide each horses adjusted score into the adjusted total to
calculate an estimate of the percentage winning chance for each horse.
Horse A Chances = (2000/5287)x100 = 37.8%
Divide 100 by the percentage chance for the desired dividend. 100 /
37.8 = $2.65
Race 1
Adjusted Score
% Chance
Calculated Dividend
Horse A
2000.00
37.8
2.65
Horse B
1440.00
27.2
3.70
Horse C
960.00
18.2
5.5
Horse D
560.00
10.6
9.45
Horse E
222.00
4.2
23.8
Horse F
0.00
2
50
Another way
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