Name history
| TEKKENקONG | |
| Zatanna Fananna | |
| Where'sMOKUJIN? | |
| MOKUJIN | |
| Eddy=Pay to Win | |
| TEKKEN SONG?! | |
| Eddy Mercury | |
| Phoenix Falcon! |
| TEKKENקONG vs Eddy | 16–63 | 20.25% |
| TEKKENקONG vs Jin | 19–34 | 35.85% |
| TEKKENקONG vs King | 22–17 | 56.41% |
| TEKKENקONG vs Hwoarang | 18–21 | 46.15% |
| TEKKENקONG vs Kazuya | 23–16 | 58.97% |
| TEKKENקONG vs Reina | 20–17 | 54.05% |
| TEKKENקONG vs Steve | 22–13 | 62.86% |
| TEKKENקONG vs Law | 10–15 | 40.00% |
| TEKKENקONG vs Dragunov | 12–13 | 48.00% |
| TEKKENקONG vs Jun | 11–14 | 44.00% |
| TEKKENקONG vs Lili | 9–15 | 37.50% |
| TEKKENקONG vs Azucena | 13–10 | 56.52% |
| TEKKENקONG vs Yoshimitsu | 12–10 | 54.55% |
| TEKKENקONG vs Devil Jin | 8–11 | 42.11% |
| TEKKENקONG vs Leroy | 8–11 | 42.11% |
| TEKKENקONG vs Victor | 10–9 | 52.63% |
| TEKKENקONG vs Raven | 8–9 | 47.06% |
| TEKKENקONG vs Lee | 10–6 | 62.50% |
| TEKKENקONG vs Bryan | 7–6 | 53.85% |
| TEKKENקONG vs Asuka | 7–5 | 58.33% |
| TEKKENקONG vs Lars | 6–6 | 50.00% |
| TEKKENקONG vs Nina | 3–9 | 25.00% |
| TEKKENקONG vs Jack-8 | 4–7 | 36.36% |
| TEKKENקONG vs Alisa | 5–6 | 45.45% |
| TEKKENקONG vs Shaheen | 3–8 | 27.27% |
| TEKKENקONG vs Paul | 4–6 | 40.00% |
| TEKKENקONG vs Xiaoyu | 5–5 | 50.00% |
| TEKKENקONG vs Heihachi | 4–6 | 40.00% |
| TEKKENקONG vs Feng | 4–5 | 44.44% |
| TEKKENקONG vs Leo | 6–3 | 66.67% |
| TEKKENקONG vs Claudio | 4–5 | 44.44% |
| TEKKENקONG vs Lidia | 2–6 | 25.00% |
| TEKKENקONG vs Clive | 0–4 | 0.00% |
| TEKKENקONG vs Anna | 4–0 | 100.00% |
| TEKKENקONG vs Panda | 2–1 | 66.67% |
| TEKKENקONG vs Kuma | 0–1 | 0.00% |
| TEKKENקONG vs Zafina | 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.