| BLANK vs King | 20–22 | 47.62% |
| BLANK vs Heihachi | 18–21 | 46.15% |
| BLANK vs Reina | 21–14 | 60.00% |
| BLANK vs Hwoarang | 16–16 | 50.00% |
| BLANK vs Victor | 15–12 | 55.56% |
| BLANK vs Jin | 7–18 | 28.00% |
| BLANK vs Bryan | 8–17 | 32.00% |
| BLANK vs Asuka | 12–13 | 48.00% |
| BLANK vs Steve | 15–9 | 62.50% |
| BLANK vs Kazuya | 15–8 | 65.22% |
| BLANK vs Dragunov | 13–9 | 59.09% |
| BLANK vs Lars | 11–10 | 52.38% |
| BLANK vs Azucena | 11–10 | 52.38% |
| BLANK vs Jun | 11–9 | 55.00% |
| BLANK vs Law | 10–9 | 52.63% |
| BLANK vs Lili | 12–7 | 63.16% |
| BLANK vs Paul | 10–8 | 55.56% |
| BLANK vs Devil Jin | 7–9 | 43.75% |
| BLANK vs Nina | 9–7 | 56.25% |
| BLANK vs Eddy | 4–11 | 26.67% |
| BLANK vs Yoshimitsu | 4–10 | 28.57% |
| BLANK vs Xiaoyu | 6–8 | 42.86% |
| BLANK vs Raven | 6–7 | 46.15% |
| BLANK vs Lee | 8–4 | 66.67% |
| BLANK vs Leroy | 6–6 | 50.00% |
| BLANK vs Lidia | 5–7 | 41.67% |
| BLANK vs Leo | 6–1 | 85.71% |
| BLANK vs Armor King | 2–5 | 28.57% |
| BLANK vs Feng | 2–4 | 33.33% |
| BLANK vs Claudio | 2–4 | 33.33% |
| BLANK vs Alisa | 2–3 | 40.00% |
| BLANK vs Clive | 2–3 | 40.00% |
| BLANK vs Zafina | 2–2 | 50.00% |
| BLANK vs Miary Zo | 1–2 | 33.33% |
| BLANK vs Shaheen | 0–2 | 0.00% |
| BLANK vs Kuma | 0–2 | 0.00% |
| BLANK vs Anna | 0–2 | 0.00% |
| BLANK vs Fahkumram | 0–2 | 0.00% |
| BLANK vs Jack-8 | 1–0 | 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.