There's no "getting elections right"; these models just estimate probability. They gave Trump a 29% change in 2016 -- that's almost 1 in 3!
A better way to assess accuracy would be to bin predictions (0-10% chance, 10-20% chance, etc.) and see if the observed frequency aligns with the predictions.