umps.csv (3.6 KB)
The first ball-jump data was collected using the FFE, which can save up to 200 spins of data. The file can also be saved directly in CSV format through a WiFi connection.
For this chart, I used only rotor speeds up to 10 pockets per second, shown on the chart as 10x p/s. The data was then sorted by rotor speed.
I did not include the faster spins, about 30 of them, because at those higher rotor speeds the results become too chaotic.
But all that looks chaotic…
This chart is hard to understand, a clearer one is needed… I do it like this in my program
Number under the diamond → winner chart, 431 spins, i collected them years ago online just to test what the conditions are, the rotor speed got lost, i don’t even remember if i collected it since that’s an older format i wasn’t able to load into any version of the program, so instead i had to manually read it from the binary file, this chart is for all diamonds.
The chart above is for diamond 5, with 116 spins. They were only spinning in one direction, the ball was very bouncy ivorine, so still a good result. The overall expected edge was 12-15%, considering it’s for all diamonds and no rotor speed to sort it more it’s still good.
| 50 | |||
|---|---|---|---|
| 6 | 6 | ||
| 9 | 8 | ||
| 12 | 4 | 18 | |
| 15 | 6 | ||
| 50/36 | 1.388889 | ||
| 12.5 | |||
| 18-12.5 | 5.5 | ||
| 44.00% |
Yes, it is not a big advantage, but when we look at different rotor speeds, we can still find something useful.
Here I showed 50 spins with a slower rotor speed. If we play positions with 9, 12, and 15 pocket jumps, and also include 6 and 15 but only half of those, it comes to an average of about 9 numbers played per spin.
To stay even, we would need about 12.5 hits from 50 spins. In this example, we would have 18 hits, which is about 44%.
Of course, in real play we cannot expect that result, because predictions will never be 100% accurate. This is only a simple indicator showing how rotor speed can help.
Faster rotor speeds seem to point more toward 27 pocket jumps.
Problem that from only 50 spins of data, all can easily be the effect of dispersion…
I analyzed hundreds or even maybe thousands of spins of data, but did not find a universal rule/ law that could help me in play…
Sometimes looks help, but the next day can do even worse…and all that show that are only a result of dispersion…
