As a residue's aligned distance $d_i$ grows relative to the normalizer $d_0(L_{\mathrm{target}})$, the score doesn't fall off linearly — it drops fast near the middle and flattens out near zero. That's what keeps a handful of badly-misaligned residues from swamping the average the way raw distance would.