| Nameless vs Kazuya | 12–21 | 36.36% |
| Nameless vs Steve | 16–17 | 48.48% |
| Nameless vs Miary Zo | 14–19 | 42.42% |
| Nameless vs King | 10–15 | 40.00% |
| Nameless vs Bryan | 11–11 | 50.00% |
| Nameless vs Armor King | 11–10 | 52.38% |
| Nameless vs Hwoarang | 7–13 | 35.00% |
| Nameless vs Dragunov | 14–6 | 70.00% |
| Nameless vs Jin | 10–9 | 52.63% |
| Nameless vs Yoshimitsu | 12–5 | 70.59% |
| Nameless vs Lili | 10–6 | 62.50% |
| Nameless vs Heihachi | 5–10 | 33.33% |
| Nameless vs Devil Jin | 9–5 | 64.29% |
| Nameless vs Law | 6–7 | 46.15% |
| Nameless vs Fahkumram | 5–8 | 38.46% |
| Nameless vs Lars | 8–4 | 66.67% |
| Nameless vs Jun | 7–5 | 58.33% |
| Nameless vs Victor | 7–4 | 63.64% |
| Nameless vs Lidia | 9–2 | 81.82% |
| Nameless vs Paul | 6–4 | 60.00% |
| Nameless vs Leo | 4–6 | 40.00% |
| Nameless vs Azucena | 5–5 | 50.00% |
| Nameless vs Lee | 6–3 | 66.67% |
| Nameless vs Reina | 3–6 | 33.33% |
| Nameless vs Clive | 3–5 | 37.50% |
| Nameless vs Claudio | 1–6 | 14.29% |
| Nameless vs Nina | 3–4 | 42.86% |
| Nameless vs Feng | 3–3 | 50.00% |
| Nameless vs Eddy | 5–1 | 83.33% |
| Nameless vs Kuma | 2–3 | 40.00% |
| Nameless vs Anna | 2–3 | 40.00% |
| Nameless vs Asuka | 3–1 | 75.00% |
| Nameless vs Raven | 2–1 | 66.67% |
| Nameless vs Xiaoyu | 1–1 | 50.00% |
| Nameless vs Leroy | 1–1 | 50.00% |
| Nameless vs Shaheen | 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.