| HaHaYouLost vs Kazuya | 20–19 | 51.28% |
| HaHaYouLost vs Reina | 25–11 | 69.44% |
| HaHaYouLost vs Lidia | 14–13 | 51.85% |
| HaHaYouLost vs Jin | 14–7 | 66.67% |
| HaHaYouLost vs Asuka | 12–7 | 63.16% |
| HaHaYouLost vs Dragunov | 10–9 | 52.63% |
| HaHaYouLost vs King | 9–9 | 50.00% |
| HaHaYouLost vs Yoshimitsu | 6–10 | 37.50% |
| HaHaYouLost vs Lili | 8–8 | 50.00% |
| HaHaYouLost vs Bryan | 6–9 | 40.00% |
| HaHaYouLost vs Law | 5–9 | 35.71% |
| HaHaYouLost vs Devil Jin | 7–6 | 53.85% |
| HaHaYouLost vs Azucena | 11–2 | 84.62% |
| HaHaYouLost vs Steve | 7–5 | 58.33% |
| HaHaYouLost vs Alisa | 4–8 | 33.33% |
| HaHaYouLost vs Raven | 5–6 | 45.45% |
| HaHaYouLost vs Hwoarang | 5–4 | 55.56% |
| HaHaYouLost vs Nina | 3–6 | 33.33% |
| HaHaYouLost vs Victor | 2–7 | 22.22% |
| HaHaYouLost vs Paul | 7–1 | 87.50% |
| HaHaYouLost vs Leroy | 4–3 | 57.14% |
| HaHaYouLost vs Eddy | 1–6 | 14.29% |
| HaHaYouLost vs Leo | 4–2 | 66.67% |
| HaHaYouLost vs Heihachi | 2–4 | 33.33% |
| HaHaYouLost vs Shaheen | 2–3 | 40.00% |
| HaHaYouLost vs Feng | 1–3 | 25.00% |
| HaHaYouLost vs Lars | 1–3 | 25.00% |
| HaHaYouLost vs Jack-8 | 1–2 | 33.33% |
| HaHaYouLost vs Lee | 2–1 | 66.67% |
| HaHaYouLost vs Xiaoyu | 1–1 | 50.00% |
| HaHaYouLost vs Claudio | 1–1 | 50.00% |
| HaHaYouLost vs Kuma | 0–2 | 0.00% |
| HaHaYouLost vs Jun | 1–1 | 50.00% |
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.