| TVTimeTEKKEN vs Clive | 22–48 | 31.43% |
| TVTimeTEKKEN vs King | 25–30 | 45.45% |
| TVTimeTEKKEN vs Kazuya | 10–23 | 30.30% |
| TVTimeTEKKEN vs Steve | 16–17 | 48.48% |
| TVTimeTEKKEN vs Hwoarang | 16–13 | 55.17% |
| TVTimeTEKKEN vs Lili | 11–17 | 39.29% |
| TVTimeTEKKEN vs Azucena | 13–15 | 46.43% |
| TVTimeTEKKEN vs Reina | 15–9 | 62.50% |
| TVTimeTEKKEN vs Yoshimitsu | 14–9 | 60.87% |
| TVTimeTEKKEN vs Jin | 9–13 | 40.91% |
| TVTimeTEKKEN vs Dragunov | 8–13 | 38.10% |
| TVTimeTEKKEN vs Victor | 8–13 | 38.10% |
| TVTimeTEKKEN vs Bryan | 3–15 | 16.67% |
| TVTimeTEKKEN vs Heihachi | 9–7 | 56.25% |
| TVTimeTEKKEN vs Jack-8 | 2–13 | 13.33% |
| TVTimeTEKKEN vs Lidia | 7–8 | 46.67% |
| TVTimeTEKKEN vs Law | 5–8 | 38.46% |
| TVTimeTEKKEN vs Asuka | 3–9 | 25.00% |
| TVTimeTEKKEN vs Nina | 9–3 | 75.00% |
| TVTimeTEKKEN vs Leo | 3–8 | 27.27% |
| TVTimeTEKKEN vs Xiaoyu | 5–5 | 50.00% |
| TVTimeTEKKEN vs Eddy | 3–7 | 30.00% |
| TVTimeTEKKEN vs Raven | 3–5 | 37.50% |
| TVTimeTEKKEN vs Feng | 4–3 | 57.14% |
| TVTimeTEKKEN vs Alisa | 1–6 | 14.29% |
| TVTimeTEKKEN vs Jun | 5–2 | 71.43% |
| TVTimeTEKKEN vs Armor King | 1–6 | 14.29% |
| TVTimeTEKKEN vs Devil Jin | 4–2 | 66.67% |
| TVTimeTEKKEN vs Anna | 5–1 | 83.33% |
| TVTimeTEKKEN vs Paul | 3–2 | 60.00% |
| TVTimeTEKKEN vs Shaheen | 3–2 | 60.00% |
| TVTimeTEKKEN vs Lee | 3–2 | 60.00% |
| TVTimeTEKKEN vs Miary Zo | 1–4 | 20.00% |
| TVTimeTEKKEN vs Lars | 0–3 | 0.00% |
| TVTimeTEKKEN vs Fahkumram | 2–1 | 66.67% |
| TVTimeTEKKEN vs Claudio | 2–0 | 100.00% |
| TVTimeTEKKEN vs Leroy | 2–0 | 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.