| slowedspeedupre vs Clive | 6–21 | 22.22% |
| slowedspeedupre vs Reina | 8–14 | 36.36% |
| slowedspeedupre vs Eddy | 7–14 | 33.33% |
| slowedspeedupre vs Hwoarang | 7–12 | 36.84% |
| slowedspeedupre vs Kazuya | 3–15 | 16.67% |
| slowedspeedupre vs Alisa | 7–11 | 38.89% |
| slowedspeedupre vs Heihachi | 6–12 | 33.33% |
| slowedspeedupre vs Lili | 5–12 | 29.41% |
| slowedspeedupre vs Dragunov | 6–11 | 35.29% |
| slowedspeedupre vs Feng | 6–8 | 42.86% |
| slowedspeedupre vs Leo | 1–13 | 7.14% |
| slowedspeedupre vs Leroy | 7–7 | 50.00% |
| slowedspeedupre vs Paul | 4–9 | 30.77% |
| slowedspeedupre vs Bryan | 2–10 | 16.67% |
| slowedspeedupre vs Nina | 5–7 | 41.67% |
| slowedspeedupre vs Jun | 5–7 | 41.67% |
| slowedspeedupre vs Steve | 2–9 | 18.18% |
| slowedspeedupre vs King | 5–5 | 50.00% |
| slowedspeedupre vs Lars | 3–7 | 30.00% |
| slowedspeedupre vs Yoshimitsu | 5–4 | 55.56% |
| slowedspeedupre vs Xiaoyu | 4–5 | 44.44% |
| slowedspeedupre vs Kuma | 1–7 | 12.50% |
| slowedspeedupre vs Azucena | 1–7 | 12.50% |
| slowedspeedupre vs Victor | 2–6 | 25.00% |
| slowedspeedupre vs Jack-8 | 1–6 | 14.29% |
| slowedspeedupre vs Asuka | 3–4 | 42.86% |
| slowedspeedupre vs Lidia | 5–2 | 71.43% |
| slowedspeedupre vs Law | 3–2 | 60.00% |
| slowedspeedupre vs Lee | 0–5 | 0.00% |
| slowedspeedupre vs Jin | 1–3 | 25.00% |
| slowedspeedupre vs Devil Jin | 2–1 | 66.67% |
| slowedspeedupre vs Claudio | 0–2 | 0.00% |
| slowedspeedupre vs Panda | 0–2 | 0.00% |
| slowedspeedupre vs Zafina | 0–2 | 0.00% |
| slowedspeedupre vs Raven | 0–1 | 0.00% |
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.