| TTV Valueds vs King | 11–13 | 45.83% |
| TTV Valueds vs Paul | 7–11 | 38.89% |
| TTV Valueds vs Reina | 6–12 | 33.33% |
| TTV Valueds vs Kazuya | 8–7 | 53.33% |
| TTV Valueds vs Feng | 4–11 | 26.67% |
| TTV Valueds vs Jin | 4–10 | 28.57% |
| TTV Valueds vs Steve | 8–6 | 57.14% |
| TTV Valueds vs Heihachi | 7–6 | 53.85% |
| TTV Valueds vs Law | 6–6 | 50.00% |
| TTV Valueds vs Hwoarang | 2–7 | 22.22% |
| TTV Valueds vs Devil Jin | 5–3 | 62.50% |
| TTV Valueds vs Azucena | 3–4 | 42.86% |
| TTV Valueds vs Anna | 2–5 | 28.57% |
| TTV Valueds vs Xiaoyu | 2–4 | 33.33% |
| TTV Valueds vs Lidia | 4–2 | 66.67% |
| TTV Valueds vs Clive | 3–3 | 50.00% |
| TTV Valueds vs Lili | 2–3 | 40.00% |
| TTV Valueds vs Jun | 1–4 | 20.00% |
| TTV Valueds vs Yoshimitsu | 2–2 | 50.00% |
| TTV Valueds vs Leo | 2–2 | 50.00% |
| TTV Valueds vs Eddy | 0–4 | 0.00% |
| TTV Valueds vs Bryan | 1–2 | 33.33% |
| TTV Valueds vs Asuka | 0–3 | 0.00% |
| TTV Valueds vs Dragunov | 2–1 | 66.67% |
| TTV Valueds vs Lars | 2–1 | 66.67% |
| TTV Valueds vs Alisa | 0–3 | 0.00% |
| TTV Valueds vs Leroy | 2–1 | 66.67% |
| TTV Valueds vs Claudio | 2–0 | 100.00% |
| TTV Valueds vs Nina | 0–2 | 0.00% |
| TTV Valueds vs Lee | 0–2 | 0.00% |
| TTV Valueds vs Victor | 2–0 | 100.00% |
| TTV Valueds vs Raven | 2–0 | 100.00% |
| TTV Valueds vs Shaheen | 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.