| k7l-3enk vs King | 103–112 | 47.91% |
| k7l-3enk vs Kazuya | 86–126 | 40.57% |
| k7l-3enk vs Heihachi | 78–106 | 42.39% |
| k7l-3enk vs Jin | 67–110 | 37.85% |
| k7l-3enk vs Armor King | 65–82 | 44.22% |
| k7l-3enk vs Dragunov | 51–74 | 40.80% |
| k7l-3enk vs Bryan | 54–66 | 45.00% |
| k7l-3enk vs Law | 59–44 | 57.28% |
| k7l-3enk vs Paul | 35–49 | 41.67% |
| k7l-3enk vs Steve | 35–46 | 43.21% |
| k7l-3enk vs Hwoarang | 41–36 | 53.25% |
| k7l-3enk vs Yoshimitsu | 29–37 | 43.94% |
| k7l-3enk vs Reina | 30–31 | 49.18% |
| k7l-3enk vs Fahkumram | 24–28 | 46.15% |
| k7l-3enk vs Asuka | 27–24 | 52.94% |
| k7l-3enk vs Devil Jin | 24–24 | 50.00% |
| k7l-3enk vs Nina | 23–22 | 51.11% |
| k7l-3enk vs Anna | 25–20 | 55.56% |
| k7l-3enk vs Lars | 21–22 | 48.84% |
| k7l-3enk vs Victor | 17–24 | 41.46% |
| k7l-3enk vs Lee | 11–27 | 28.95% |
| k7l-3enk vs Azucena | 13–21 | 38.24% |
| k7l-3enk vs Alisa | 15–16 | 48.39% |
| k7l-3enk vs Clive | 17–14 | 54.84% |
| k7l-3enk vs Jun | 12–18 | 40.00% |
| k7l-3enk vs Eddy | 13–13 | 50.00% |
| k7l-3enk vs Lili | 11–13 | 45.83% |
| k7l-3enk vs Xiaoyu | 8–14 | 36.36% |
| k7l-3enk vs Claudio | 8–12 | 40.00% |
| k7l-3enk vs Jack-8 | 8–10 | 44.44% |
| k7l-3enk vs Feng | 8–9 | 47.06% |
| k7l-3enk vs Zafina | 7–9 | 43.75% |
| k7l-3enk vs Kuma | 5–8 | 38.46% |
| k7l-3enk vs Shaheen | 4–6 | 40.00% |
| k7l-3enk vs Leroy | 4–6 | 40.00% |
| k7l-3enk vs Leo | 5–4 | 55.56% |
| k7l-3enk vs Raven | 6–3 | 66.67% |
| k7l-3enk vs Lidia | 4–2 | 66.67% |
| k7l-3enk vs Miary Zo | 1–2 | 33.33% |
| k7l-3enk vs Panda | 0–2 | 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.