| qqqq vs Kazuya | 71–64 | 52.59% |
| qqqq vs Jin | 68–51 | 57.14% |
| qqqq vs Bryan | 55–48 | 53.40% |
| qqqq vs Reina | 57–45 | 55.88% |
| qqqq vs King | 36–52 | 40.91% |
| qqqq vs Hwoarang | 38–46 | 45.24% |
| qqqq vs Lili | 39–35 | 52.70% |
| qqqq vs Dragunov | 35–34 | 50.72% |
| qqqq vs Heihachi | 25–42 | 37.31% |
| qqqq vs Paul | 27–39 | 40.91% |
| qqqq vs Law | 37–24 | 60.66% |
| qqqq vs Steve | 40–21 | 65.57% |
| qqqq vs Yoshimitsu | 24–30 | 44.44% |
| qqqq vs Alisa | 22–24 | 47.83% |
| qqqq vs Lars | 25–20 | 55.56% |
| qqqq vs Eddy | 21–24 | 46.67% |
| qqqq vs Asuka | 24–17 | 58.54% |
| qqqq vs Devil Jin | 23–17 | 57.50% |
| qqqq vs Leo | 27–13 | 67.50% |
| qqqq vs Fahkumram | 18–22 | 45.00% |
| qqqq vs Nina | 27–12 | 69.23% |
| qqqq vs Anna | 20–18 | 52.63% |
| qqqq vs Azucena | 19–14 | 57.58% |
| qqqq vs Jack-8 | 15–17 | 46.88% |
| qqqq vs Leroy | 21–10 | 67.74% |
| qqqq vs Lidia | 16–14 | 53.33% |
| qqqq vs Clive | 17–13 | 56.67% |
| qqqq vs Raven | 13–16 | 44.83% |
| qqqq vs Xiaoyu | 13–15 | 46.43% |
| qqqq vs Lee | 13–13 | 50.00% |
| qqqq vs Claudio | 7–17 | 29.17% |
| qqqq vs Jun | 5–18 | 21.74% |
| qqqq vs Feng | 13–9 | 59.09% |
| qqqq vs Zafina | 7–10 | 41.18% |
| qqqq vs Victor | 9–7 | 56.25% |
| qqqq vs Shaheen | 8–5 | 61.54% |
| qqqq vs Kuma | 9–3 | 75.00% |
| qqqq vs Armor King | 9–3 | 75.00% |
| qqqq vs Panda | 4–1 | 80.00% |
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.