I have not been able to escape the Trap that prevents me from getting to the Gate. That Trap causes me to Face Plant often when it take That Step.
Skip or Games Between Hits and Frequencies are often part of a filter. That Step begins when I divide the Skip by the Frequency. The product is expressed as an Extremely Useless Percentage. I say that because I have found them to be as such. Attempting selection based an a Ranking These S/F Values is also worthless. My Observation is that Rank Values of S/F for any Of the Options are Difficult to match because for a Small Set they seam to be More Random than the actual Draw. I have run hundreds of Histories recording the Rank of the S/F Values for from 1-3 Filter Variables. Done it in Pairs of Ranks. My Excel Files always include an attempt to utilize and often automate or fix the S/F and Ranks. Historical Profitability is always Negative.
Perhaps more Study was needed. I looked at a lot of Charts. You can't help but notice that often the Largest values are associated with the Variable that hits the Least. Systems skewed to the Higher Values would cause me to select Variables or Numbers, that have not hit very often. These low hitters would blend in with the Best Hitters based on the S/F Rank. I really get the feeling that instead of reducing randomness, I am increasing
It occurred to me to multiply the S/F by the Total Number of Hits. That Radically changed the ranking of a Variable. Another way to express this is this formula: (Skip x Hits x Hits)/Total Games. SxH^2/Games. Ranking these Values reveals what appears to be some Trendy Stuff. By itself, this looks like a tough Filter to Master; but when Paired with a Block Filter and subsequently ranked within the similar blocks, Rank gets much better at Hitting the Mark. Oh by the Way, The Top Ranked Variable is not the best hitter, So There you go.
Any Theoretical Math Men have some insight. Suggestions? Up/Down?