| TEKKENLO vs Jin | 26–20 | 56.52% |
| TEKKENLO vs Yoshimitsu | 16–22 | 42.11% |
| TEKKENLO vs Reina | 21–13 | 61.76% |
| TEKKENLO vs Kazuya | 18–12 | 60.00% |
| TEKKENLO vs Hwoarang | 11–16 | 40.74% |
| TEKKENLO vs Armor King | 17–10 | 62.96% |
| TEKKENLO vs Bryan | 15–11 | 57.69% |
| TEKKENLO vs King | 16–7 | 69.57% |
| TEKKENLO vs Dragunov | 12–11 | 52.17% |
| TEKKENLO vs Xiaoyu | 7–12 | 36.84% |
| TEKKENLO vs Asuka | 11–8 | 57.89% |
| TEKKENLO vs Law | 7–11 | 38.89% |
| TEKKENLO vs Jun | 11–6 | 64.71% |
| TEKKENLO vs Azucena | 9–6 | 60.00% |
| TEKKENLO vs Eddy | 10–3 | 76.92% |
| TEKKENLO vs Heihachi | 7–6 | 53.85% |
| TEKKENLO vs Clive | 7–6 | 53.85% |
| TEKKENLO vs Paul | 5–7 | 41.67% |
| TEKKENLO vs Nina | 5–7 | 41.67% |
| TEKKENLO vs Devil Jin | 8–3 | 72.73% |
| TEKKENLO vs Lidia | 4–7 | 36.36% |
| TEKKENLO vs Jack-8 | 5–5 | 50.00% |
| TEKKENLO vs Steve | 6–3 | 66.67% |
| TEKKENLO vs Lili | 4–4 | 50.00% |
| TEKKENLO vs Victor | 2–6 | 25.00% |
| TEKKENLO vs Raven | 4–3 | 57.14% |
| TEKKENLO vs Claudio | 2–4 | 33.33% |
| TEKKENLO vs Lee | 6–0 | 100.00% |
| TEKKENLO vs Zafina | 1–5 | 16.67% |
| TEKKENLO vs Feng | 2–2 | 50.00% |
| TEKKENLO vs Alisa | 0–4 | 0.00% |
| TEKKENLO vs Leo | 3–0 | 100.00% |
| TEKKENLO vs Shaheen | 2–1 | 66.67% |
| TEKKENLO vs Kuma | 0–2 | 0.00% |
| TEKKENLO vs Lars | 0–1 | 0.00% |
| TEKKENLO vs Anna | 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.