The implied probability drift between 1X2 and DNB—how are you guys rebalancing the margin?

I’ve been spotting a recurring gap where DNB (Draw No Bet) odds derived from standard 1X2 markets start drifting away from the actual market flow. It’s that classic risk management headache: when stripping out the draw, the algorithm often distributes the margin (the juice) unevenly, which ends up warping the data integrity of the DNB line.

Our usual fix is to normalize the 1X2 odds first, then back-calculate the draw variable to migrate it into the DNB logic using a dynamic correction. We’ve actually been testing some logic with Lumix Solution to help re-weight the draw variables across different league tiers to keep the DNB line sharp, but it’s still a tricky balancing act.

When you’re designing these odds engines, what metrics are you using as a baseline for redistributing that draw weight? Are you leaning on historical draw frequency per league, or do you have a specific weighting factor to ensure the DNB price stays consistent with the 1X2 movement?