It's basically just table 8.1a with the columns switched. E.g. the entry in table 8.1b with rating difference 92-98 and expected score (for the higher rated player) of .63, corresponds with the entry (.63, 95) in table 8.1a.

That table is based on the expected score formula mentioned here:

If Player A has a rating of R_A and Player B a rating of R_B, the exact formula (using the logistic curve) for the expected score of Player A is

E_A = 1 / (1 + 10 ^{(R_B - R_A) / 400})

but it's also possible to directly generate table 8.1b from this formula. For example, a rating difference of 92 points (in A's favor) leads to E_A = 0.6294.

It's basically just table 8.1a with the columns switched. E.g. the entry in table 8.1b with rating difference 92-98 and expected score (for the higher rated player) of .63, corresponds with the entry (.63, 95) in table 8.1a.

That table is based on the expected score formula mentioned here:

If Player A has a rating of R_A and Player B a rating of R_B, the exact formula (using the logistic curve) for the expected score of Player A is

E_A = 1 / (1 + 10 ^{(R_B - R_A) / 400})

but it's also possible to directly generate table 8.1b from this formula. For example, a rating difference of 92 points (in A's favor) leads to E_A = 0.6294.

The inverse formula, calculating the rating difference which corresponds to a certain expected score, is R_B - R_A = 400 log₁₀(1 / E_A - 1).

It's basically just table 8.1a with the columns switched. E.g. the entry in table 8.1b with rating difference 92-98 and expected score (for the higher rated) of .63, corresponds with the entry (.63, 95) in table 8.1a.

That table is based on the expected score formula mentioned here:

If Player A has a rating of R_A and Player B a rating of R_B, the exact formula (using the logistic curve) for the expected score of Player A is

E_A = 1 / (1 + 10 ^{(R_B - R_A) / 400})

It's basically just table 8.1a with the columns switched. E.g. the entry in table 8.1b with rating difference 92-98 and expected score (for the higher rated player) of .63, corresponds with the entry (.63, 95) in table 8.1a.

That table is based on the expected score formula mentioned here:

If Player A has a rating of R_A and Player B a rating of R_B, the exact formula (using the logistic curve) for the expected score of Player A is

E_A = 1 / (1 + 10 ^{(R_B - R_A) / 400})

but it's also possible to directly generate table 8.1b from this formula. For example, a rating difference of 92 points (in A's favor) leads to E_A = 0.6294.