| lofikayTEKKEN vs Yoshimitsu | 32–18 | 64.00% |
| lofikayTEKKEN vs Jin | 28–12 | 70.00% |
| lofikayTEKKEN vs Clive | 24–13 | 64.86% |
| lofikayTEKKEN vs King | 18–16 | 52.94% |
| lofikayTEKKEN vs Dragunov | 24–10 | 70.59% |
| lofikayTEKKEN vs Panda | 20–12 | 62.50% |
| lofikayTEKKEN vs Hwoarang | 23–7 | 76.67% |
| lofikayTEKKEN vs Kazuya | 21–3 | 87.50% |
| lofikayTEKKEN vs Lili | 13–9 | 59.09% |
| lofikayTEKKEN vs Paul | 15–6 | 71.43% |
| lofikayTEKKEN vs Steve | 15–6 | 71.43% |
| lofikayTEKKEN vs Asuka | 11–9 | 55.00% |
| lofikayTEKKEN vs Lars | 11–9 | 55.00% |
| lofikayTEKKEN vs Law | 10–8 | 55.56% |
| lofikayTEKKEN vs Bryan | 10–8 | 55.56% |
| lofikayTEKKEN vs Devil Jin | 12–6 | 66.67% |
| lofikayTEKKEN vs Feng | 9–9 | 50.00% |
| lofikayTEKKEN vs Lee | 11–6 | 64.71% |
| lofikayTEKKEN vs Leroy | 11–6 | 64.71% |
| lofikayTEKKEN vs Jun | 12–5 | 70.59% |
| lofikayTEKKEN vs Claudio | 11–5 | 68.75% |
| lofikayTEKKEN vs Zafina | 6–10 | 37.50% |
| lofikayTEKKEN vs Jack-8 | 10–5 | 66.67% |
| lofikayTEKKEN vs Victor | 9–6 | 60.00% |
| lofikayTEKKEN vs Leo | 13–1 | 92.86% |
| lofikayTEKKEN vs Raven | 8–6 | 57.14% |
| lofikayTEKKEN vs Xiaoyu | 9–4 | 69.23% |
| lofikayTEKKEN vs Alisa | 10–3 | 76.92% |
| lofikayTEKKEN vs Shaheen | 6–5 | 54.55% |
| lofikayTEKKEN vs Nina | 6–5 | 54.55% |
| lofikayTEKKEN vs Azucena | 8–3 | 72.73% |
| lofikayTEKKEN vs Lidia | 8–3 | 72.73% |
| lofikayTEKKEN vs Kuma | 6–4 | 60.00% |
| lofikayTEKKEN vs Eddy | 5–4 | 55.56% |
| lofikayTEKKEN vs Heihachi | 3–2 | 60.00% |
| lofikayTEKKEN vs Reina | 2–2 | 50.00% |
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.