| YouLookDum vs Clive | 19–22 | 46.34% |
| YouLookDum vs Law | 8–16 | 33.33% |
| YouLookDum vs Reina | 9–15 | 37.50% |
| YouLookDum vs King | 14–8 | 63.64% |
| YouLookDum vs Kazuya | 5–14 | 26.32% |
| YouLookDum vs Asuka | 10–8 | 55.56% |
| YouLookDum vs Hwoarang | 5–12 | 29.41% |
| YouLookDum vs Steve | 9–7 | 56.25% |
| YouLookDum vs Lili | 6–9 | 40.00% |
| YouLookDum vs Jin | 6–8 | 42.86% |
| YouLookDum vs Heihachi | 6–6 | 50.00% |
| YouLookDum vs Bryan | 4–7 | 36.36% |
| YouLookDum vs Dragunov | 5–5 | 50.00% |
| YouLookDum vs Jun | 0–10 | 0.00% |
| YouLookDum vs Azucena | 6–3 | 66.67% |
| YouLookDum vs Paul | 3–5 | 37.50% |
| YouLookDum vs Zafina | 3–5 | 37.50% |
| YouLookDum vs Victor | 3–5 | 37.50% |
| YouLookDum vs Lars | 2–5 | 28.57% |
| YouLookDum vs Nina | 2–5 | 28.57% |
| YouLookDum vs Eddy | 2–5 | 28.57% |
| YouLookDum vs Feng | 1–5 | 16.67% |
| YouLookDum vs Yoshimitsu | 0–5 | 0.00% |
| YouLookDum vs Raven | 2–3 | 40.00% |
| YouLookDum vs Lidia | 5–0 | 100.00% |
| YouLookDum vs Xiaoyu | 2–2 | 50.00% |
| YouLookDum vs Devil Jin | 1–3 | 25.00% |
| YouLookDum vs Leroy | 1–3 | 25.00% |
| YouLookDum vs Jack-8 | 0–3 | 0.00% |
| YouLookDum vs Leo | 0–3 | 0.00% |
| YouLookDum vs Lee | 0–3 | 0.00% |
| YouLookDum vs Alisa | 0–2 | 0.00% |
| YouLookDum vs Claudio | 0–2 | 0.00% |
| YouLookDum vs Shaheen | 0–2 | 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.