Can League One recover some of our losses?
With a 28.57% failure rate (two failures out of seven) the losses keep stacking up!
On to League Two:
The best performing league of the four still recorded a 12.5% failure rate (one failure in eight) and yet another loss despite being almost twice as successful as the overall 23.33% failure rate.
Before you try to calculate the overall picture for yourself, our summary table on the next page reveals the full horror.
This was a very interesting and well written research piece – very useful because many of us mull over such systems without having the time or discipline (money isn’t necessary to do the research) to do it.
I suppose the real drawback is the period of the test since clearly West Ham, for example, will eventually win 2-0 but not in time to compensate for the losses in the season of the test. And who knows how long it could take? So perhaps the answer is to target more the sort of markets where particular teams/leaguesmight be favoured – eg red cards or corners, in order to reduce the time taken to recoup losses.
With that approach, the current prevalence on the Exchanges of bots which apply blanket rules to some markets might help but will require more digging by the investor to find the spots.
Thank you for making the effort!
GL
I have just seen this link after reading the first part.
In my previous post I mentioned that I may try this system. After examine how it stacks up….I will be leaving this alone.
Intersting article though with good analysis.