I disagree that 1v1 trains the same amount of HA and DR. 1v1 guards trains more HA for bigs. 1v1 forwards trains more DR. 1v1
This is wrong, you can have a look at the results from the US offsite project for confirmation.
There is no evidence that 1v1 guards and forwards are any different in respect of primary training (so HA and DR). The only difference is that the secondary training is concentrated in JS for guards and is split for forwards.
Yes guards trains more JS, but my point was why would you want to give up IS for more JS? It's almost never a good trade-off.
Cross training and elastics are not the same thing.
Again, I'm not sure what you're talking about. I haven't mentioned crosstraining. What I provided is primary and secondary training. You always get training in the skills I mentioned, crosstraining is random.
Higher IS has a positive effect, while higher SB has a small negative effect.
This is incorrect, higher SB (than ID) will make ID train faster, higher ID (than SB) will make SB train faster. That is exactly how the elastic effect works.
IS is affected by JS, OD, ID, and RB. Higher JS, ID, and RB has a positive effect, while higher OD has a small negative effect.
RB is affected by ID and JR. Higher ID is positive and higher JR is negative.
Wrong wrong wrong. OD and RB have no elastic influence on IS. JR has no elastic effect on anything except for JS.
Also there is no 'negative effect' it's a simple relationship: the higher skill pulls the lower skill making training faster. Obviously if you flip it around, you will have the opposite effect (lower skill drags the higher skill).
this is theoretical based on data put together by BB users.
Well, it was a statistical analysis based on thousands and thousands of data points. Regressions have been run on that data set in order to estimate the training speed and the impact of other factors like height, age and trainer level. So while the model built on that analysis is not exact, it is a very good approximation. Besides in respect of identifying which skill have an elastic effect on other skills the error should be basically zero. Keep in mind that the elastic effect was something the developers talked about, so people looked for it in the data: while we can discuss how accurate the elastic effect estimate from the analysis is, we can pretty much be sure of the relationship between different skills (i.e. you can be 99.99% sure skill A has an elastic effect on skill B, however you can only say that the effect is x% with a lower level of confidence).