| RRxlxntless vs King | 37–34 | 52.11% |
| RRxlxntless vs Kazuya | 21–34 | 38.18% |
| RRxlxntless vs Jin | 24–20 | 54.55% |
| RRxlxntless vs Hwoarang | 22–21 | 51.16% |
| RRxlxntless vs Fahkumram | 25–13 | 65.79% |
| RRxlxntless vs Jun | 20–17 | 54.05% |
| RRxlxntless vs Heihachi | 18–17 | 51.43% |
| RRxlxntless vs Lee | 13–21 | 38.24% |
| RRxlxntless vs Paul | 12–18 | 40.00% |
| RRxlxntless vs Steve | 18–12 | 60.00% |
| RRxlxntless vs Dragunov | 14–16 | 46.67% |
| RRxlxntless vs Leo | 12–18 | 40.00% |
| RRxlxntless vs Clive | 17–13 | 56.67% |
| RRxlxntless vs Anna | 10–19 | 34.48% |
| RRxlxntless vs Law | 12–15 | 44.44% |
| RRxlxntless vs Bryan | 11–16 | 40.74% |
| RRxlxntless vs Lidia | 10–16 | 38.46% |
| RRxlxntless vs Lili | 7–18 | 28.00% |
| RRxlxntless vs Reina | 14–10 | 58.33% |
| RRxlxntless vs Azucena | 13–11 | 54.17% |
| RRxlxntless vs Eddy | 12–10 | 54.55% |
| RRxlxntless vs Feng | 9–12 | 42.86% |
| RRxlxntless vs Lars | 11–10 | 52.38% |
| RRxlxntless vs Alisa | 10–11 | 47.62% |
| RRxlxntless vs Armor King | 13–7 | 65.00% |
| RRxlxntless vs Xiaoyu | 9–10 | 47.37% |
| RRxlxntless vs Yoshimitsu | 6–11 | 35.29% |
| RRxlxntless vs Asuka | 8–8 | 50.00% |
| RRxlxntless vs Devil Jin | 8–8 | 50.00% |
| RRxlxntless vs Leroy | 5–11 | 31.25% |
| RRxlxntless vs Jack-8 | 9–6 | 60.00% |
| RRxlxntless vs Claudio | 6–5 | 54.55% |
| RRxlxntless vs Victor | 5–5 | 50.00% |
| RRxlxntless vs Raven | 5–4 | 55.56% |
| RRxlxntless vs Zafina | 3–5 | 37.50% |
| RRxlxntless vs Shaheen | 3–4 | 42.86% |
| RRxlxntless vs Kuma | 0–6 | 0.00% |
| RRxlxntless vs Nina | 3–2 | 60.00% |
| RRxlxntless vs Miary Zo | 2–1 | 66.67% |
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.