| vxnsmv vs King | 14–13 | 51.85% |
| vxnsmv vs Law | 17–8 | 68.00% |
| vxnsmv vs Kazuya | 15–7 | 68.18% |
| vxnsmv vs Steve | 14–6 | 70.00% |
| vxnsmv vs Jin | 16–3 | 84.21% |
| vxnsmv vs Eddy | 13–4 | 76.47% |
| vxnsmv vs Dragunov | 9–7 | 56.25% |
| vxnsmv vs Reina | 13–3 | 81.25% |
| vxnsmv vs Hwoarang | 10–2 | 83.33% |
| vxnsmv vs Xiaoyu | 5–7 | 41.67% |
| vxnsmv vs Asuka | 6–5 | 54.55% |
| vxnsmv vs Lili | 9–2 | 81.82% |
| vxnsmv vs Lee | 4–7 | 36.36% |
| vxnsmv vs Victor | 8–3 | 72.73% |
| vxnsmv vs Bryan | 6–4 | 60.00% |
| vxnsmv vs Yoshimitsu | 5–4 | 55.56% |
| vxnsmv vs Leroy | 7–2 | 77.78% |
| vxnsmv vs Azucena | 6–3 | 66.67% |
| vxnsmv vs Paul | 5–3 | 62.50% |
| vxnsmv vs Jun | 7–1 | 87.50% |
| vxnsmv vs Raven | 3–5 | 37.50% |
| vxnsmv vs Shaheen | 3–4 | 42.86% |
| vxnsmv vs Claudio | 5–1 | 83.33% |
| vxnsmv vs Fahkumram | 3–3 | 50.00% |
| vxnsmv vs Jack-8 | 2–3 | 40.00% |
| vxnsmv vs Lars | 2–3 | 40.00% |
| vxnsmv vs Heihachi | 3–2 | 60.00% |
| vxnsmv vs Clive | 3–1–1 | 75.00% |
| vxnsmv vs Devil Jin | 3–1 | 75.00% |
| vxnsmv vs Feng | 2–2 | 50.00% |
| vxnsmv vs Leo | 2–2 | 50.00% |
| vxnsmv vs Nina | 1–3 | 25.00% |
| vxnsmv vs Zafina | 1–2 | 33.33% |
| vxnsmv vs Anna | 0–2 | 0.00% |
| vxnsmv vs Alisa | 0–1 | 0.00% |
| vxnsmv vs Kuma | 0–1 | 0.00% |
| vxnsmv vs Lidia | 1–0 | 100.00% |
| vxnsmv vs Miary Zo | 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.