| Labn vs Jin | 70–55 | 56.00% |
| Labn vs Kazuya | 72–49 | 59.50% |
| Labn vs Bryan | 54–44 | 55.10% |
| Labn vs King | 56–31 | 64.37% |
| Labn vs Dragunov | 59–28 | 67.82% |
| Labn vs Reina | 41–44 | 48.24% |
| Labn vs Lee | 50–29 | 63.29% |
| Labn vs Yoshimitsu | 33–31 | 51.56% |
| Labn vs Steve | 29–35 | 45.31% |
| Labn vs Paul | 29–22 | 56.86% |
| Labn vs Lili | 22–28 | 44.00% |
| Labn vs Devil Jin | 25–20 | 55.56% |
| Labn vs Feng | 25–20 | 55.56% |
| Labn vs Claudio | 22–22 | 50.00% |
| Labn vs Leo | 22–19 | 53.66% |
| Labn vs Eddy | 14–23 | 37.84% |
| Labn vs Hwoarang | 15–21 | 41.67% |
| Labn vs Xiaoyu | 20–15 | 57.14% |
| Labn vs Shaheen | 21–14 | 60.00% |
| Labn vs Law | 18–15 | 54.55% |
| Labn vs Lars | 14–19 | 42.42% |
| Labn vs Jun | 13–19 | 40.62% |
| Labn vs Azucena | 17–15 | 53.12% |
| Labn vs Asuka | 20–11 | 64.52% |
| Labn vs Alisa | 12–19 | 38.71% |
| Labn vs Zafina | 12–18 | 40.00% |
| Labn vs Heihachi | 21–8 | 72.41% |
| Labn vs Jack-8 | 15–9 | 62.50% |
| Labn vs Leroy | 13–11 | 54.17% |
| Labn vs Raven | 12–10 | 54.55% |
| Labn vs Kuma | 7–13 | 35.00% |
| Labn vs Victor | 7–12 | 36.84% |
| Labn vs Nina | 4–10 | 28.57% |
| Labn vs Lidia | 3–9 | 25.00% |
| Labn vs Clive | 7–5 | 58.33% |
| Labn vs Anna | 6–3 | 66.67% |
| Labn vs Panda | 2–5 | 28.57% |
| Labn vs Armor King | 4–1 | 80.00% |
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.