The chess formula is based on single games where skill is the only factor. A player deemed better than another is expected to win by skill alone and the gains from winning are meagre and the losses from losing are punitive for the better player when the difference between them are large.

In the chess formula, a rating difference of 400 points favours the expert who is expected to win 9/10ths of their games against the average player. In the backgammon formula, the effect of luck is such that experts (500 higher than average) are expected to lose in the region of a third(!) of games against an average player. The losses and gains are much less per match to account for this luck effect.

In chess I believe you play only single games and each game is worth 1 or 1/2 a point whereas in backgammon there are matches worth multiple points. Though the expert backgammon player is expected to win only 2/3s of their single games against an expert, in an 7-point match that goes up to around 80%. So an expert is expected to win a decent length match but the chances of the beginner's lucky win are by no means negligible.

Chess maxes out at 2700 or something, with backgammon 2200 is unusual.

More info:
The US chess formula

Rating calculator for backgammon
Complicated looking but also informative.

Press the [Newbie] button (it uses 1600, not 1500) and the [500] button and look at the percentages in the first table to see that the expert, P2, should only win 64% of single games but 82.1% of 7-point matches and 90.3% of the 25-pointers.