| namuG vs King | 27–15 | 64.29% |
| namuG vs Jin | 26–15 | 63.41% |
| namuG vs Kazuya | 25–16 | 60.98% |
| namuG vs Bryan | 22–18 | 55.00% |
| namuG vs Reina | 20–17 | 54.05% |
| namuG vs Hwoarang | 19–14 | 57.58% |
| namuG vs Steve | 24–9 | 72.73% |
| namuG vs Dragunov | 20–13 | 60.61% |
| namuG vs Paul | 14–16 | 46.67% |
| namuG vs Law | 14–16 | 46.67% |
| namuG vs Yoshimitsu | 16–9 | 64.00% |
| namuG vs Lili | 8–15 | 34.78% |
| namuG vs Heihachi | 11–11 | 50.00% |
| namuG vs Azucena | 10–7 | 58.82% |
| namuG vs Asuka | 10–6 | 62.50% |
| namuG vs Devil Jin | 10–5 | 66.67% |
| namuG vs Armor King | 12–3 | 80.00% |
| namuG vs Jack-8 | 5–9 | 35.71% |
| namuG vs Zafina | 5–9 | 35.71% |
| namuG vs Jun | 4–10 | 28.57% |
| namuG vs Nina | 8–5 | 61.54% |
| namuG vs Lee | 7–6 | 53.85% |
| namuG vs Leroy | 5–8 | 38.46% |
| namuG vs Eddy | 5–7 | 41.67% |
| namuG vs Xiaoyu | 4–7 | 36.36% |
| namuG vs Lars | 5–6 | 45.45% |
| namuG vs Claudio | 6–4 | 60.00% |
| namuG vs Victor | 6–4 | 60.00% |
| namuG vs Alisa | 3–6 | 33.33% |
| namuG vs Feng | 7–1 | 87.50% |
| namuG vs Leo | 5–3 | 62.50% |
| namuG vs Lidia | 4–3 | 57.14% |
| namuG vs Clive | 2–5 | 28.57% |
| namuG vs Raven | 2–2 | 50.00% |
| namuG vs Fahkumram | 1–3 | 25.00% |
| namuG vs Shaheen | 2–1 | 66.67% |
| namuG vs Kuma | 2–1 | 66.67% |
| namuG vs Anna | 2–0 | 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.