| Vhill37 vs King | 9–23 | 28.12% |
| Vhill37 vs Jin | 15–17 | 46.88% |
| Vhill37 vs Reina | 14–17 | 45.16% |
| Vhill37 vs Lili | 17–11 | 60.71% |
| Vhill37 vs Hwoarang | 17–8 | 68.00% |
| Vhill37 vs Eddy | 11–12 | 47.83% |
| Vhill37 vs Victor | 11–10 | 52.38% |
| Vhill37 vs Law | 11–9 | 55.00% |
| Vhill37 vs Kazuya | 9–10 | 47.37% |
| Vhill37 vs Steve | 6–13 | 31.58% |
| Vhill37 vs Xiaoyu | 10–8 | 55.56% |
| Vhill37 vs Dragunov | 11–7 | 61.11% |
| Vhill37 vs Heihachi | 10–8 | 55.56% |
| Vhill37 vs Lars | 5–12 | 29.41% |
| Vhill37 vs Miary Zo | 7–9 | 43.75% |
| Vhill37 vs Bryan | 5–9 | 35.71% |
| Vhill37 vs Kuma | 5–8 | 38.46% |
| Vhill37 vs Paul | 5–6 | 45.45% |
| Vhill37 vs Yoshimitsu | 3–7 | 30.00% |
| Vhill37 vs Nina | 7–3 | 70.00% |
| Vhill37 vs Clive | 5–5 | 50.00% |
| Vhill37 vs Armor King | 4–6 | 40.00% |
| Vhill37 vs Jun | 2–7 | 22.22% |
| Vhill37 vs Lidia | 0–9 | 0.00% |
| Vhill37 vs Jack-8 | 5–2 | 71.43% |
| Vhill37 vs Feng | 4–3 | 57.14% |
| Vhill37 vs Asuka | 3–3 | 50.00% |
| Vhill37 vs Leo | 3–2 | 60.00% |
| Vhill37 vs Alisa | 0–5 | 0.00% |
| Vhill37 vs Lee | 3–2 | 60.00% |
| Vhill37 vs Azucena | 3–2 | 60.00% |
| Vhill37 vs Fahkumram | 3–1 | 75.00% |
| Vhill37 vs Raven | 3–0 | 100.00% |
| Vhill37 vs Devil Jin | 0–2 | 0.00% |
| Vhill37 vs Zafina | 1–1 | 50.00% |
| Vhill37 vs Panda | 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.