| strkllr vs Jin | 42–13 | 76.36% |
| strkllr vs Kazuya | 28–22 | 56.00% |
| strkllr vs Paul | 24–22 | 52.17% |
| strkllr vs Reina | 20–19 | 51.28% |
| strkllr vs King | 17–17 | 50.00% |
| strkllr vs Hwoarang | 14–19 | 42.42% |
| strkllr vs Steve | 18–15 | 54.55% |
| strkllr vs Bryan | 25–4 | 86.21% |
| strkllr vs Law | 15–11 | 57.69% |
| strkllr vs Lili | 15–9 | 62.50% |
| strkllr vs Jun | 14–10 | 58.33% |
| strkllr vs Yoshimitsu | 10–9 | 52.63% |
| strkllr vs Devil Jin | 9–10 | 47.37% |
| strkllr vs Victor | 12–7 | 63.16% |
| strkllr vs Azucena | 16–2 | 88.89% |
| strkllr vs Feng | 11–6 | 64.71% |
| strkllr vs Leo | 11–6 | 64.71% |
| strkllr vs Clive | 11–5 | 68.75% |
| strkllr vs Dragunov | 9–6 | 60.00% |
| strkllr vs Xiaoyu | 8–6 | 57.14% |
| strkllr vs Lee | 7–7 | 50.00% |
| strkllr vs Nina | 8–5 | 61.54% |
| strkllr vs Raven | 6–7 | 46.15% |
| strkllr vs Asuka | 6–6 | 50.00% |
| strkllr vs Alisa | 9–3 | 75.00% |
| strkllr vs Lars | 6–5 | 54.55% |
| strkllr vs Claudio | 5–6 | 45.45% |
| strkllr vs Lidia | 4–5 | 44.44% |
| strkllr vs Jack-8 | 6–2 | 75.00% |
| strkllr vs Leroy | 5–3 | 62.50% |
| strkllr vs Eddy | 4–4 | 50.00% |
| strkllr vs Heihachi | 5–2 | 71.43% |
| strkllr vs Shaheen | 2–1 | 66.67% |
| strkllr vs Kuma | 3–0 | 100.00% |
| strkllr vs Panda | 0–2 | 0.00% |
| strkllr vs Zafina | 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.