r – After the nearest 2: 1 neighbor with replacement propensity matching (using MatchIt): how to analyze the continuous variable that is not normally distributed?

I have paired two groups using the MatchIt package that matches the nearest 2: 1 neighbor with replacement. After the comparison, I want to compare the difference in a test score (range: 0-100) between the two groups; however, these scores are not normally distributed. I don't think I can use a weighted t-test (using the weights created by the correspondence program) since the data is not normal. What should I use to analyze this continuous variable after the coincidence?