| roarsoundeffect vs Kazuya | 22–30–1 | 42.31% |
| roarsoundeffect vs Hwoarang | 15–27 | 35.71% |
| roarsoundeffect vs Heihachi | 9–22 | 29.03% |
| roarsoundeffect vs Dragunov | 20–9 | 68.97% |
| roarsoundeffect vs Reina | 18–10 | 64.29% |
| roarsoundeffect vs Jin | 15–9 | 62.50% |
| roarsoundeffect vs Victor | 13–10 | 56.52% |
| roarsoundeffect vs King | 7–14 | 33.33% |
| roarsoundeffect vs Lili | 10–11 | 47.62% |
| roarsoundeffect vs Yoshimitsu | 7–13 | 35.00% |
| roarsoundeffect vs Bryan | 9–11 | 45.00% |
| roarsoundeffect vs Steve | 10–8 | 55.56% |
| roarsoundeffect vs Devil Jin | 10–7 | 58.82% |
| roarsoundeffect vs Asuka | 11–5 | 68.75% |
| roarsoundeffect vs Paul | 3–12 | 20.00% |
| roarsoundeffect vs Law | 7–7 | 50.00% |
| roarsoundeffect vs Alisa | 7–6 | 53.85% |
| roarsoundeffect vs Lidia | 9–4 | 69.23% |
| roarsoundeffect vs Lars | 8–2 | 80.00% |
| roarsoundeffect vs Jun | 4–5 | 44.44% |
| roarsoundeffect vs Kuma | 3–4 | 42.86% |
| roarsoundeffect vs Xiaoyu | 3–3 | 50.00% |
| roarsoundeffect vs Jack-8 | 3–3 | 50.00% |
| roarsoundeffect vs Leo | 1–5 | 16.67% |
| roarsoundeffect vs Raven | 4–2 | 66.67% |
| roarsoundeffect vs Feng | 4–1 | 80.00% |
| roarsoundeffect vs Azucena | 4–1 | 80.00% |
| roarsoundeffect vs Claudio | 0–4 | 0.00% |
| roarsoundeffect vs Zafina | 4–0 | 100.00% |
| roarsoundeffect vs Armor King | 4–0 | 100.00% |
| roarsoundeffect vs Shaheen | 2–1 | 66.67% |
| roarsoundeffect vs Nina | 0–3 | 0.00% |
| roarsoundeffect vs Leroy | 1–2 | 33.33% |
| roarsoundeffect vs Eddy | 2–1 | 66.67% |
| roarsoundeffect vs Clive | 2–0 | 100.00% |
| roarsoundeffect vs Lee | 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.