| Minerva vs King | 42–42 | 50.00% |
| Minerva vs Hwoarang | 29–27 | 51.79% |
| Minerva vs Jin | 31–25 | 55.36% |
| Minerva vs Steve | 27–27 | 50.00% |
| Minerva vs Dragunov | 26–24 | 52.00% |
| Minerva vs Reina | 26–22 | 54.17% |
| Minerva vs Kazuya | 17–22 | 43.59% |
| Minerva vs Bryan | 11–25 | 30.56% |
| Minerva vs Eddy | 8–28 | 22.22% |
| Minerva vs Jun | 12–16 | 42.86% |
| Minerva vs Azucena | 19–9 | 67.86% |
| Minerva vs Asuka | 15–10 | 60.00% |
| Minerva vs Lili | 14–10 | 58.33% |
| Minerva vs Law | 14–9 | 60.87% |
| Minerva vs Yoshimitsu | 5–18 | 21.74% |
| Minerva vs Lars | 10–13 | 43.48% |
| Minerva vs Jack-8 | 9–10 | 47.37% |
| Minerva vs Lee | 9–10 | 47.37% |
| Minerva vs Devil Jin | 8–10 | 44.44% |
| Minerva vs Leroy | 8–10 | 44.44% |
| Minerva vs Victor | 8–10 | 44.44% |
| Minerva vs Lidia | 9–9 | 50.00% |
| Minerva vs Paul | 15–2 | 88.24% |
| Minerva vs Nina | 8–7 | 53.33% |
| Minerva vs Leo | 6–8 | 42.86% |
| Minerva vs Shaheen | 6–8 | 42.86% |
| Minerva vs Alisa | 5–7 | 41.67% |
| Minerva vs Feng | 2–9 | 18.18% |
| Minerva vs Heihachi | 3–7 | 30.00% |
| Minerva vs Xiaoyu | 5–3 | 62.50% |
| Minerva vs Claudio | 4–4 | 50.00% |
| Minerva vs Zafina | 5–3 | 62.50% |
| Minerva vs Clive | 3–3 | 50.00% |
| Minerva vs Kuma | 0–5 | 0.00% |
| Minerva vs Raven | 3–0 | 100.00% |
| Minerva vs Panda | 0–2 | 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.