| MV|sturnasf vs Jin | 54–55 | 49.54% |
| MV|sturnasf vs King | 45–54 | 45.45% |
| MV|sturnasf vs Law | 37–49 | 43.02% |
| MV|sturnasf vs Armor King | 37–40 | 48.05% |
| MV|sturnasf vs Bryan | 31–42 | 42.47% |
| MV|sturnasf vs Steve | 30–41 | 42.25% |
| MV|sturnasf vs Kazuya | 34–36 | 48.57% |
| MV|sturnasf vs Yoshimitsu | 39–29 | 57.35% |
| MV|sturnasf vs Dragunov | 32–36 | 47.06% |
| MV|sturnasf vs Hwoarang | 29–36 | 44.62% |
| MV|sturnasf vs Paul | 31–25 | 55.36% |
| MV|sturnasf vs Heihachi | 28–24 | 53.85% |
| MV|sturnasf vs Devil Jin | 16–31 | 34.04% |
| MV|sturnasf vs Fahkumram | 12–23 | 34.29% |
| MV|sturnasf vs Lili | 16–13 | 55.17% |
| MV|sturnasf vs Reina | 12–17 | 41.38% |
| MV|sturnasf vs Asuka | 16–12 | 57.14% |
| MV|sturnasf vs Victor | 13–14 | 48.15% |
| MV|sturnasf vs Eddy | 15–9 | 62.50% |
| MV|sturnasf vs Anna | 11–13 | 45.83% |
| MV|sturnasf vs Alisa | 12–11 | 52.17% |
| MV|sturnasf vs Lee | 7–16 | 30.43% |
| MV|sturnasf vs Azucena | 13–10 | 56.52% |
| MV|sturnasf vs Miary Zo | 7–13 | 35.00% |
| MV|sturnasf vs Nina | 5–14 | 26.32% |
| MV|sturnasf vs Clive | 9–10 | 47.37% |
| MV|sturnasf vs Jun | 9–7 | 56.25% |
| MV|sturnasf vs Jack-8 | 5–10 | 33.33% |
| MV|sturnasf vs Leo | 7–8 | 46.67% |
| MV|sturnasf vs Shaheen | 7–7 | 50.00% |
| MV|sturnasf vs Raven | 3–11 | 21.43% |
| MV|sturnasf vs Xiaoyu | 7–5 | 58.33% |
| MV|sturnasf vs Feng | 8–3 | 72.73% |
| MV|sturnasf vs Claudio | 6–4 | 60.00% |
| MV|sturnasf vs Leroy | 2–6 | 25.00% |
| MV|sturnasf vs Lars | 2–5 | 28.57% |
| MV|sturnasf vs Lidia | 5–1 | 83.33% |
| MV|sturnasf vs Zafina | 1–2 | 33.33% |
| MV|sturnasf vs Kuma | 2–0 | 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.