| EGP_TEKKEN vs King | 42–13 | 76.36% |
| EGP_TEKKEN vs Reina | 26–21 | 55.32% |
| EGP_TEKKEN vs Hwoarang | 30–14 | 68.18% |
| EGP_TEKKEN vs Jin | 25–15 | 62.50% |
| EGP_TEKKEN vs Bryan | 33–7 | 82.50% |
| EGP_TEKKEN vs Jun | 22–16 | 57.89% |
| EGP_TEKKEN vs Dragunov | 26–11 | 70.27% |
| EGP_TEKKEN vs Lili | 20–14 | 58.82% |
| EGP_TEKKEN vs Claudio | 24–10 | 70.59% |
| EGP_TEKKEN vs Lee | 23–11 | 67.65% |
| EGP_TEKKEN vs Devil Jin | 20–12 | 62.50% |
| EGP_TEKKEN vs Eddy | 18–10 | 64.29% |
| EGP_TEKKEN vs Victor | 14–13 | 51.85% |
| EGP_TEKKEN vs Asuka | 17–8 | 68.00% |
| EGP_TEKKEN vs Paul | 23–1 | 95.83% |
| EGP_TEKKEN vs Steve | 18–6 | 75.00% |
| EGP_TEKKEN vs Yoshimitsu | 15–8 | 65.22% |
| EGP_TEKKEN vs Jack-8 | 14–9 | 60.87% |
| EGP_TEKKEN vs Clive | 12–11 | 52.17% |
| EGP_TEKKEN vs Law | 15–7 | 68.18% |
| EGP_TEKKEN vs Kazuya | 15–7 | 68.18% |
| EGP_TEKKEN vs Azucena | 19–3 | 86.36% |
| EGP_TEKKEN vs Alisa | 10–8 | 55.56% |
| EGP_TEKKEN vs Leo | 15–2 | 88.24% |
| EGP_TEKKEN vs Lars | 10–7 | 58.82% |
| EGP_TEKKEN vs Kuma | 9–7 | 56.25% |
| EGP_TEKKEN vs Raven | 13–2 | 86.67% |
| EGP_TEKKEN vs Heihachi | 8–7 | 53.33% |
| EGP_TEKKEN vs Feng | 8–6 | 57.14% |
| EGP_TEKKEN vs Nina | 9–5 | 64.29% |
| EGP_TEKKEN vs Zafina | 6–7 | 46.15% |
| EGP_TEKKEN vs Shaheen | 7–4 | 63.64% |
| EGP_TEKKEN vs Anna | 7–4 | 63.64% |
| EGP_TEKKEN vs Leroy | 5–3 | 62.50% |
| EGP_TEKKEN vs Miary Zo | 5–3 | 62.50% |
| EGP_TEKKEN vs Fahkumram | 6–1 | 85.71% |
| EGP_TEKKEN vs Xiaoyu | 2–3 | 40.00% |
| EGP_TEKKEN vs Panda | 1–0 | 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.