| Lrys vs Fahkumram | 17–27 | 38.64% |
| Lrys vs Kazuya | 28–15 | 65.12% |
| Lrys vs Bryan | 20–19 | 51.28% |
| Lrys vs Hwoarang | 16–19 | 45.71% |
| Lrys vs Dragunov | 16–18 | 47.06% |
| Lrys vs King | 14–15 | 48.28% |
| Lrys vs Steve | 16–13 | 55.17% |
| Lrys vs Reina | 10–16 | 38.46% |
| Lrys vs Jin | 14–10 | 58.33% |
| Lrys vs Lili | 12–11 | 52.17% |
| Lrys vs Heihachi | 12–10 | 54.55% |
| Lrys vs Jun | 16–5 | 76.19% |
| Lrys vs Paul | 6–12 | 33.33% |
| Lrys vs Victor | 5–12 | 29.41% |
| Lrys vs Asuka | 9–7 | 56.25% |
| Lrys vs Feng | 9–7 | 56.25% |
| Lrys vs Lee | 9–7 | 56.25% |
| Lrys vs Anna | 6–9 | 40.00% |
| Lrys vs Azucena | 8–6 | 57.14% |
| Lrys vs Devil Jin | 6–7 | 46.15% |
| Lrys vs Yoshimitsu | 7–4 | 63.64% |
| Lrys vs Lars | 4–6 | 40.00% |
| Lrys vs Eddy | 5–5 | 50.00% |
| Lrys vs Claudio | 3–6 | 33.33% |
| Lrys vs Jack-8 | 1–7 | 12.50% |
| Lrys vs Law | 4–3 | 57.14% |
| Lrys vs Nina | 5–2 | 71.43% |
| Lrys vs Panda | 3–4 | 42.86% |
| Lrys vs Leo | 4–2 | 66.67% |
| Lrys vs Alisa | 2–2 | 50.00% |
| Lrys vs Clive | 2–2 | 50.00% |
| Lrys vs Xiaoyu | 1–2 | 33.33% |
| Lrys vs Shaheen | 3–0 | 100.00% |
| Lrys vs Zafina | 0–3 | 0.00% |
| Lrys vs Leroy | 1–2 | 33.33% |
| Lrys vs Lidia | 3–0 | 100.00% |
| Lrys vs Kuma | 0–2 | 0.00% |
| Lrys vs Raven | 0–2 | 0.00% |
| Lrys vs Armor King | 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.