I also observed the idea which is described in the original post.
When I built up my excel stat sheets, I called this stat "streak stop", which is similar this "tiers" thing.
My "solution" : In my system the teams are ranked by ELO points, so the league tables are sorted by ELO points.
I divided this power ranking league tables into three parts. ("strong-middle-weak" teams).
In each part I observed the WDL streaks' averages contiunally through the season in total and in H/A as well.
And if one team store one result (W-D-L) up (reaching or pass the observed streak's averages of this result), this "streak stop" stat signs this warning call and we should bet against this result (maybe a "surprise" result come up from this).
Of course these "streak-averages" are just random patterns and no more. And this "patterns" breaking are not a principle, rather a tendency to do so.
In nutshell this should be the thing.
For example this WDL streak avereages in English Premier League 2017/18 after 31 round (in april 2018):
How to get a SHARK win
in Betting Systems & Strategy
Posted
I also observed the idea which is described in the original post.
When I built up my excel stat sheets, I called this stat "streak stop", which is similar this "tiers" thing.
My "solution" : In my system the teams are ranked by ELO points, so the league tables are sorted by ELO points.
I divided this power ranking league tables into three parts. ("strong-middle-weak" teams).
In each part I observed the WDL streaks' averages contiunally through the season in total and in H/A as well.
And if one team store one result (W-D-L) up (reaching or pass the observed streak's averages of this result), this "streak stop" stat signs this warning call and we should bet against this result (maybe a "surprise" result come up from this).
Of course these "streak-averages" are just random patterns and no more. And this "patterns" breaking are not a principle, rather a tendency to do so.
In nutshell this should be the thing.
For example this WDL streak avereages in English Premier League 2017/18 after 31 round (in april 2018):
Total:
1. (1-6 ELO positions): 6-2-2 (WDL)
2. (7-14 ELO positions): 3-2-3 (WDL)
3. (15-20 ELO positions): 2-3-5 (WDL)
Home averages:
1. 7-2-1
2. 3-2-2
3. 2-2-3
Away averages:
1.4-2-2
2.2-2-4
3.1-2-4