| Valstrax vs Dragunov | 52–41 | 55.91% |
| Valstrax vs Bryan | 46–43 | 51.69% |
| Valstrax vs Hwoarang | 50–34 | 59.52% |
| Valstrax vs Kazuya | 48–35 | 57.83% |
| Valstrax vs Heihachi | 37–44 | 45.68% |
| Valstrax vs Paul | 41–37 | 52.56% |
| Valstrax vs Jin | 37–30 | 55.22% |
| Valstrax vs Reina | 40–22 | 64.52% |
| Valstrax vs Lars | 32–27 | 54.24% |
| Valstrax vs Victor | 28–27 | 50.91% |
| Valstrax vs Steve | 19–28 | 40.43% |
| Valstrax vs Asuka | 18–28 | 39.13% |
| Valstrax vs Yoshimitsu | 19–25 | 43.18% |
| Valstrax vs Nina | 16–26 | 38.10% |
| Valstrax vs Lee | 19–23 | 45.24% |
| Valstrax vs King | 22–16 | 57.89% |
| Valstrax vs Feng | 21–17 | 55.26% |
| Valstrax vs Devil Jin | 15–20 | 42.86% |
| Valstrax vs Law | 20–13 | 60.61% |
| Valstrax vs Lili | 16–16 | 50.00% |
| Valstrax vs Jack-8 | 16–15 | 51.61% |
| Valstrax vs Azucena | 17–12 | 58.62% |
| Valstrax vs Claudio | 15–13 | 53.57% |
| Valstrax vs Leroy | 14–14 | 50.00% |
| Valstrax vs Jun | 10–16 | 38.46% |
| Valstrax vs Lidia | 12–11 | 52.17% |
| Valstrax vs Alisa | 9–13 | 40.91% |
| Valstrax vs Zafina | 11–10 | 52.38% |
| Valstrax vs Xiaoyu | 11–5 | 68.75% |
| Valstrax vs Raven | 5–10 | 33.33% |
| Valstrax vs Eddy | 9–6 | 60.00% |
| Valstrax vs Leo | 4–9 | 30.77% |
| Valstrax vs Shaheen | 7–5 | 58.33% |
| Valstrax vs Kuma | 7–4 | 63.64% |
| Valstrax vs Armor King | 2–4 | 33.33% |
| Valstrax vs Panda | 0–4 | 0.00% |
| Valstrax vs Clive | 2–2 | 50.00% |
| Valstrax vs Anna | 1–2 | 33.33% |
| Valstrax vs Fahkumram | 2–0 | 100.00% |
| Valstrax vs Miary Zo | 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.