| KamenRiderXR vs Armor King | 24–23 | 51.06% |
| KamenRiderXR vs King | 13–15 | 46.43% |
| KamenRiderXR vs Kazuya | 17–10 | 62.96% |
| KamenRiderXR vs Law | 16–8 | 66.67% |
| KamenRiderXR vs Eddy | 10–9 | 52.63% |
| KamenRiderXR vs Heihachi | 5–11 | 31.25% |
| KamenRiderXR vs Hwoarang | 5–10 | 33.33% |
| KamenRiderXR vs Lee | 6–9 | 40.00% |
| KamenRiderXR vs Jun | 12–3 | 80.00% |
| KamenRiderXR vs Steve | 10–4 | 71.43% |
| KamenRiderXR vs Clive | 5–9 | 35.71% |
| KamenRiderXR vs Jin | 7–6 | 53.85% |
| KamenRiderXR vs Dragunov | 6–7 | 46.15% |
| KamenRiderXR vs Leroy | 9–4 | 69.23% |
| KamenRiderXR vs Victor | 6–7 | 46.15% |
| KamenRiderXR vs Paul | 4–7 | 36.36% |
| KamenRiderXR vs Xiaoyu | 7–4 | 63.64% |
| KamenRiderXR vs Bryan | 3–8 | 27.27% |
| KamenRiderXR vs Raven | 3–8 | 27.27% |
| KamenRiderXR vs Lidia | 4–7 | 36.36% |
| KamenRiderXR vs Fahkumram | 5–6 | 45.45% |
| KamenRiderXR vs Jack-8 | 5–5 | 50.00% |
| KamenRiderXR vs Feng | 5–5 | 50.00% |
| KamenRiderXR vs Leo | 5–5 | 50.00% |
| KamenRiderXR vs Nina | 2–8 | 20.00% |
| KamenRiderXR vs Azucena | 4–5 | 44.44% |
| KamenRiderXR vs Yoshimitsu | 2–6 | 25.00% |
| KamenRiderXR vs Devil Jin | 3–4 | 42.86% |
| KamenRiderXR vs Alisa | 5–2 | 71.43% |
| KamenRiderXR vs Lars | 0–6 | 0.00% |
| KamenRiderXR vs Asuka | 2–3 | 40.00% |
| KamenRiderXR vs Reina | 4–1 | 80.00% |
| KamenRiderXR vs Anna | 3–2 | 60.00% |
| KamenRiderXR vs Claudio | 2–2 | 50.00% |
| KamenRiderXR vs Zafina | 1–3 | 25.00% |
| KamenRiderXR vs Shaheen | 2–0 | 100.00% |
| KamenRiderXR vs Kuma | 2–0 | 100.00% |
| KamenRiderXR vs Miary Zo | 0–2 | 0.00% |
| KamenRiderXR vs Lili | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.