Huguenot
7th July 2006, 02:11.50 PM
I'll make this one much narrower.
In my robot testing with angles using PL-1 I found much better results if you limited the last race to within 30 days rather than 90. That's changed my outlook in general in some ways, BUT what about 30 days vs. 45 or 30 days vs. 60? I've generally considered 45 days to be the dividing point for layoffs but never had any real evidence.
Could someone run these 3 tests which are the same except for the layoff category?
ALL ARE : .
PL 1
Purses 10k or greater
K1-4
Tote odds 5-15/1
Races for 3 yr olds and older (no 2 yr or 3 yr old only races)
NO maidens.
fast track dirt
6f-9f. Males & Females. All VIs.
--------------
1. Layoff 1-30 days
2. Layoff 1-45 days
3. Layoff 1-60 days.
I ran the robot in May and June and in both months the following categories were profitable or within a nickel or so with layoffs at 1-30 days. Always fared worse at 1-90.
1. SP = 1-- profits both months 1.29 and 1.19
2, PER = 1 .1.14 and .98
3. Class = 1 -- profits both months. 1.50 and 1.08
4, f3 = 1 1.39 and .95
Of all the tests I run SP is the most consistent and when SP-1 does poorly, SP-= 1 or 2 will do well. Even at a loss they will have among the highest ROIs and generally beat the take.
Wondering not so much whether I have a profitable play (tho that would be grand), but whether the differences in layoff dates changes the ROI or win % significantly. Should I treat layoffs of 28 and 43 days equally or is there really a difference in coming back within 30 or so days?
I've found that separating these into class and distance structure and age really makes a difference but so far my samples are too small to do much of that.
thanks.
In my robot testing with angles using PL-1 I found much better results if you limited the last race to within 30 days rather than 90. That's changed my outlook in general in some ways, BUT what about 30 days vs. 45 or 30 days vs. 60? I've generally considered 45 days to be the dividing point for layoffs but never had any real evidence.
Could someone run these 3 tests which are the same except for the layoff category?
ALL ARE : .
PL 1
Purses 10k or greater
K1-4
Tote odds 5-15/1
Races for 3 yr olds and older (no 2 yr or 3 yr old only races)
NO maidens.
fast track dirt
6f-9f. Males & Females. All VIs.
--------------
1. Layoff 1-30 days
2. Layoff 1-45 days
3. Layoff 1-60 days.
I ran the robot in May and June and in both months the following categories were profitable or within a nickel or so with layoffs at 1-30 days. Always fared worse at 1-90.
1. SP = 1-- profits both months 1.29 and 1.19
2, PER = 1 .1.14 and .98
3. Class = 1 -- profits both months. 1.50 and 1.08
4, f3 = 1 1.39 and .95
Of all the tests I run SP is the most consistent and when SP-1 does poorly, SP-= 1 or 2 will do well. Even at a loss they will have among the highest ROIs and generally beat the take.
Wondering not so much whether I have a profitable play (tho that would be grand), but whether the differences in layoff dates changes the ROI or win % significantly. Should I treat layoffs of 28 and 43 days equally or is there really a difference in coming back within 30 or so days?
I've found that separating these into class and distance structure and age really makes a difference but so far my samples are too small to do much of that.
thanks.