| Blank vs Jin | 53–47 | 53.00% |
| Blank vs Kazuya | 34–25 | 57.63% |
| Blank vs Heihachi | 20–25 | 44.44% |
| Blank vs Lili | 16–22 | 42.11% |
| Blank vs King | 21–13 | 61.76% |
| Blank vs Reina | 17–16 | 51.52% |
| Blank vs Bryan | 11–20 | 35.48% |
| Blank vs Dragunov | 20–9 | 68.97% |
| Blank vs Lidia | 13–16 | 44.83% |
| Blank vs Yoshimitsu | 8–19 | 29.63% |
| Blank vs Devil Jin | 10–17 | 37.04% |
| Blank vs Lars | 15–12 | 55.56% |
| Blank vs Jun | 10–17 | 37.04% |
| Blank vs Steve | 17–9 | 65.38% |
| Blank vs Paul | 12–12 | 50.00% |
| Blank vs Law | 13–9 | 59.09% |
| Blank vs Asuka | 12–10 | 54.55% |
| Blank vs Alisa | 11–10 | 52.38% |
| Blank vs Victor | 7–13 | 35.00% |
| Blank vs Hwoarang | 10–9 | 52.63% |
| Blank vs Xiaoyu | 8–11 | 42.11% |
| Blank vs Clive | 5–14 | 26.32% |
| Blank vs Leo | 8–8 | 50.00% |
| Blank vs Lee | 8–8 | 50.00% |
| Blank vs Anna | 6–5 | 54.55% |
| Blank vs Nina | 6–4 | 60.00% |
| Blank vs Azucena | 4–6 | 40.00% |
| Blank vs Raven | 5–5 | 50.00% |
| Blank vs Eddy | 3–6 | 33.33% |
| Blank vs Kuma | 3–5 | 37.50% |
| Blank vs Fahkumram | 0–7 | 0.00% |
| Blank vs Shaheen | 4–2 | 66.67% |
| Blank vs Zafina | 2–4 | 33.33% |
| Blank vs Leroy | 4–1 | 80.00% |
| Blank vs Claudio | 1–3 | 25.00% |
| Blank vs Jack-8 | 0–3 | 0.00% |
| Blank vs Feng | 1–2 | 33.33% |
| Blank vs Panda | 1–2 | 33.33% |
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.