| l7cnf vs Jin | 34–40 | 45.95% |
| l7cnf vs King | 38–20 | 65.52% |
| l7cnf vs Dragunov | 20–31 | 39.22% |
| l7cnf vs Kazuya | 22–24 | 47.83% |
| l7cnf vs Hwoarang | 31–14 | 68.89% |
| l7cnf vs Steve | 27–15 | 64.29% |
| l7cnf vs Heihachi | 18–10 | 64.29% |
| l7cnf vs Law | 11–14 | 44.00% |
| l7cnf vs Bryan | 10–12 | 45.45% |
| l7cnf vs Lili | 11–11 | 50.00% |
| l7cnf vs Victor | 14–6 | 70.00% |
| l7cnf vs Nina | 10–9 | 52.63% |
| l7cnf vs Lars | 12–6 | 66.67% |
| l7cnf vs Reina | 8–10 | 44.44% |
| l7cnf vs Yoshimitsu | 8–9 | 47.06% |
| l7cnf vs Azucena | 6–11 | 35.29% |
| l7cnf vs Devil Jin | 7–8 | 46.67% |
| l7cnf vs Lee | 9–6 | 60.00% |
| l7cnf vs Jun | 5–8 | 38.46% |
| l7cnf vs Asuka | 5–7 | 41.67% |
| l7cnf vs Claudio | 8–4 | 66.67% |
| l7cnf vs Eddy | 4–8 | 33.33% |
| l7cnf vs Alisa | 4–7 | 36.36% |
| l7cnf vs Paul | 5–5 | 50.00% |
| l7cnf vs Jack-8 | 1–9 | 10.00% |
| l7cnf vs Feng | 6–4 | 60.00% |
| l7cnf vs Armor King | 7–2 | 77.78% |
| l7cnf vs Xiaoyu | 4–4 | 50.00% |
| l7cnf vs Fahkumram | 3–5 | 37.50% |
| l7cnf vs Miary Zo | 4–4 | 50.00% |
| l7cnf vs Zafina | 4–3 | 57.14% |
| l7cnf vs Anna | 4–3 | 57.14% |
| l7cnf vs Kuma | 2–4 | 33.33% |
| l7cnf vs Leroy | 4–1 | 80.00% |
| l7cnf vs Leo | 3–1 | 75.00% |
| l7cnf vs Raven | 2–2 | 50.00% |
| l7cnf vs Clive | 2–2 | 50.00% |
| l7cnf vs Panda | 1–2 | 33.33% |
| l7cnf vs Lidia | 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.