| llrjll vs Jin | 32–15 | 68.09% |
| llrjll vs Paul | 21–18 | 53.85% |
| llrjll vs Heihachi | 24–15 | 61.54% |
| llrjll vs Reina | 13–24 | 35.14% |
| llrjll vs Lili | 23–11 | 67.65% |
| llrjll vs King | 17–16 | 51.52% |
| llrjll vs Kazuya | 24–9 | 72.73% |
| llrjll vs Hwoarang | 19–11 | 63.33% |
| llrjll vs Asuka | 15–14 | 51.72% |
| llrjll vs Jun | 18–10 | 64.29% |
| llrjll vs Yoshimitsu | 13–13 | 50.00% |
| llrjll vs Bryan | 9–16 | 36.00% |
| llrjll vs Lee | 13–12 | 52.00% |
| llrjll vs Law | 9–14 | 39.13% |
| llrjll vs Steve | 15–7 | 68.18% |
| llrjll vs Victor | 10–10 | 50.00% |
| llrjll vs Azucena | 10–9 | 52.63% |
| llrjll vs Leroy | 11–7 | 61.11% |
| llrjll vs Kuma | 11–5 | 68.75% |
| llrjll vs Lidia | 7–9 | 43.75% |
| llrjll vs Leo | 11–4 | 73.33% |
| llrjll vs Dragunov | 10–4 | 71.43% |
| llrjll vs Xiaoyu | 6–7 | 46.15% |
| llrjll vs Lars | 6–7 | 46.15% |
| llrjll vs Jack-8 | 5–6 | 45.45% |
| llrjll vs Raven | 6–5 | 54.55% |
| llrjll vs Clive | 5–6 | 45.45% |
| llrjll vs Nina | 8–2 | 80.00% |
| llrjll vs Eddy | 3–7 | 30.00% |
| llrjll vs Feng | 6–3 | 66.67% |
| llrjll vs Alisa | 6–2 | 75.00% |
| llrjll vs Shaheen | 5–3 | 62.50% |
| llrjll vs Panda | 4–3 | 57.14% |
| llrjll vs Claudio | 2–4 | 33.33% |
| llrjll vs Zafina | 2–3 | 40.00% |
| llrjll vs Anna | 2–3 | 40.00% |
| llrjll vs Devil Jin | 3–0 | 100.00% |
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.