| lildanne vs Jin | 32–42 | 43.24% |
| lildanne vs Steve | 32–33 | 49.23% |
| lildanne vs Kazuya | 25–34 | 42.37% |
| lildanne vs Reina | 31–28 | 52.54% |
| lildanne vs Dragunov | 21–27 | 43.75% |
| lildanne vs Bryan | 19–27 | 41.30% |
| lildanne vs Armor King | 12–30 | 28.57% |
| lildanne vs Law | 19–16 | 54.29% |
| lildanne vs King | 10–20 | 33.33% |
| lildanne vs Fahkumram | 14–12 | 53.85% |
| lildanne vs Hwoarang | 14–10 | 58.33% |
| lildanne vs Lee | 11–11 | 50.00% |
| lildanne vs Lili | 10–9 | 52.63% |
| lildanne vs Heihachi | 5–14 | 26.32% |
| lildanne vs Paul | 11–7 | 61.11% |
| lildanne vs Devil Jin | 6–12 | 33.33% |
| lildanne vs Yoshimitsu | 10–7 | 58.82% |
| lildanne vs Asuka | 6–11 | 35.29% |
| lildanne vs Victor | 4–13 | 23.53% |
| lildanne vs Lidia | 8–8 | 50.00% |
| lildanne vs Xiaoyu | 7–8 | 46.67% |
| lildanne vs Eddy | 7–8 | 46.67% |
| lildanne vs Lars | 6–8 | 42.86% |
| lildanne vs Alisa | 6–8 | 42.86% |
| lildanne vs Miary Zo | 4–10 | 28.57% |
| lildanne vs Leroy | 6–6 | 50.00% |
| lildanne vs Leo | 4–7 | 36.36% |
| lildanne vs Jun | 10–1 | 90.91% |
| lildanne vs Azucena | 5–6 | 45.45% |
| lildanne vs Clive | 0–11 | 0.00% |
| lildanne vs Feng | 4–5 | 44.44% |
| lildanne vs Claudio | 1–8 | 11.11% |
| lildanne vs Kuma | 3–3 | 50.00% |
| lildanne vs Zafina | 3–3 | 50.00% |
| lildanne vs Shaheen | 1–4 | 20.00% |
| lildanne vs Raven | 3–2 | 60.00% |
| lildanne vs Anna | 2–3 | 40.00% |
| lildanne vs Jack-8 | 0–4 | 0.00% |
| lildanne vs Nina | 2–0 | 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.