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Equation 2 · Part 4 · A Showdown Ladder Rating Measures the Ladder, Not the Player

Symbol j

r′=r+q1/RD2+1/d2∑j=1mg(RDj)(sj−E(s∣r,rj,RDj))r' = r + \frac{q}{1/\mathrm{RD}^2 + 1/d^2} \sum_{j=1}^{m} g(\mathrm{RD}_j)\left(s_j - E(s \mid r, r_j, \mathrm{RD}_j)\right)
jj

What this part means

j appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

Its job in the formula

j appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

The passage around this formula

…∑j=1m\sum_{j=1}^{m} g(RDj\mathrm{RD}_j)(sj−E(s∣r,rj,RDj))\left(s_j - E(s \mid r, r_j, \mathrm{RD}_j)\right) where d2d^2 is a variance term built from the same g(RDj\mathrm{RD}_j) and expected-score factors, sjs_j ∈\in \{0, 0.5, 1\} is the outcome of game j , and between rating periods the deviation itself grows on a fixed schedule, RDnew period\mathrm{RD}_{\text{new period}} = RDold2+c2\sqrt{\mathrm{RD}_{\text{old}}^2 + c^2} , clamped to Showdown’s own configured ceiling of 130 rather than Glickman’s generic default ceiling of 350 [ 2 , 3 ] . Substitute Showdown’s…

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