| Valkrun vs King | 60–66 | 47.62% |
| Valkrun vs Dragunov | 66–58 | 53.23% |
| Valkrun vs Jin | 56–52 | 51.85% |
| Valkrun vs Lili | 39–51 | 43.33% |
| Valkrun vs Victor | 50–35–1 | 58.82% |
| Valkrun vs Paul | 34–45 | 43.04% |
| Valkrun vs Hwoarang | 41–37 | 52.56% |
| Valkrun vs Asuka | 38–40 | 48.72% |
| Valkrun vs Kazuya | 31–42 | 42.47% |
| Valkrun vs Bryan | 37–33 | 52.86% |
| Valkrun vs Law | 34–35 | 49.28% |
| Valkrun vs Steve | 31–34 | 47.69% |
| Valkrun vs Reina | 32–33 | 49.23% |
| Valkrun vs Yoshimitsu | 19–37 | 33.93% |
| Valkrun vs Lee | 27–28 | 49.09% |
| Valkrun vs Xiaoyu | 21–31 | 40.38% |
| Valkrun vs Devil Jin | 25–20 | 55.56% |
| Valkrun vs Eddy | 21–22 | 48.84% |
| Valkrun vs Jun | 24–17 | 58.54% |
| Valkrun vs Alisa | 20–18 | 52.63% |
| Valkrun vs Lars | 21–15 | 58.33% |
| Valkrun vs Feng | 17–18 | 48.57% |
| Valkrun vs Azucena | 26–8 | 76.47% |
| Valkrun vs Leo | 15–17 | 46.88% |
| Valkrun vs Nina | 14–18 | 43.75% |
| Valkrun vs Leroy | 14–18 | 43.75% |
| Valkrun vs Lidia | 14–17 | 45.16% |
| Valkrun vs Claudio | 16–13 | 55.17% |
| Valkrun vs Heihachi | 20–9 | 68.97% |
| Valkrun vs Jack-8 | 11–12 | 47.83% |
| Valkrun vs Zafina | 6–17 | 26.09% |
| Valkrun vs Kuma | 9–11 | 45.00% |
| Valkrun vs Shaheen | 4–12 | 25.00% |
| Valkrun vs Raven | 6–7 | 46.15% |
| Valkrun vs Panda | 7–5 | 58.33% |
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.